We've ranked the best econometrics books using expert recommendations, sales data, and millions of reader ratings. At Shortform, we know books. Our book guides are the best in the world. Learn why.
This hardcover edition is cleanly formatted for easy reading. 12 point Garamond, 1.25 spacing. The Richest Man in Babylon is a timeless classic, revealing the secrets to making money and keeping it. This inspirational book is hailed as the greatest of books on finances. It unveils the secrets to wealth, providing priceless suggestions, advice, unforgettable parables, financial problem-solving tools, and invaluable information which will get you on your way to riches. The book to read for all who want financial success.
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Recommended by Daymond John, Aisha Yesufu, DJ Vlad, and 6 others.
Daymond John
Founder/FUBU
Daymond John said this is one of his most-recommended books. [source]
Aisha Yesufu
@seundavidpaul 👏👏👏👏👏 This is a great book [source]
This is a 1920s classic version of How To Get Rich. The ancestor of all the pale imitations, like Rich Dad/Poor Dad, that came since. And while I scoffed at plenty of the allegories from ancient Babylon that presents the lessons, it was still a neat package. And at least ancient Babylon is a more interesting backdrop for teaching lessons about money than some suburban house flipper. I ended up liking it more at the end than I did at the beginning. It’s also a really interesting tie-in with that debt history book. [source]
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Measure What Matters: How Google, Bono, and the Gates Foundation Rock the World with OKRs
Legendary venture capitalist John Doerr reveals how the goal-setting system of Objectives and Key Results (OKRs) has helped tech giants from Intel to Google achieve explosive growth--and how it can help any organization thrive.
In the fall of 1999, John Doerr met with the founders of a start-up whom he'd just given $12.5 million, the biggest investment of his career. Larry Page and Sergey Brin had amazing technology, entrepreneurial energy, and sky-high ambitions, but no real business plan. For Google to change the world (or even to survive), Page and Brin had to learn how to make tough choices on priorities while keeping their team on track. They'd have to know when to pull the plug on losing propositions, to fail fast. And they needed timely, relevant data to track their progress -- to measure what mattered.
Doerr taught them about a proven approach to operating excellence: Objectives and Key Results. He had first discovered OKRs in the 1970s as an engineer at Intel, where the legendary Andy Grove ("the greatest manager of his or any era") drove the best-run company Doerr had ever seen. Later, as a venture capitalist, Doerr shared Grove's brainchild with more than fifty companies. Wherever the process was faithfully practiced, it worked.
In this goal-setting system, objectives define what we seek to achieve; key results are how those top-priority goals will be attained with specific, measurable actions within a set time frame. Everyone's goals, from entry level to CEO, are transparent to the entire organization.
The benefits are profound. OKRs surface an organization's most important work. They focus effort and foster coordination. They keep employees on track. They link objectives across silos to unify and strengthen the entire company. Along the way, OKRs enhance workplace satisfaction and boost retention.
In Measure What Matters, Doerr shares a broad range of first-person, behind-the-scenes case studies, with narrators including Bono and Bill Gates, to demonstrate the focus, agility, and explosive growth that OKRs have spurred at so many great organizations. This book will help a new generation of leaders capture the same magic.
John explains how OKRs Objectives and Key Results work and shows how you can apply them in all sorts of situations. I’d recommend John’s book for anyone interested in becoming a better manager (and I’d say that even if I hadn’t been interviewed for a super-nice chapter about the Gates Foundation). [source]
Whether you're a seasoned CEO or a first-time entrepreneur, you'll find valuable lessons, tools, and inspiration in the pages of Measure What Matters. I'm glad John invested the time to share these ideas with the world. [source]
In this indispensable book, the most important venture capitalist of our era reveals a key to business innovation and success. This crisp and colorful book combines fascinating case studies with insightful personal stories to show how OKRs can add magic to organizations of any size. [source]
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Mostly Harmless Econometrics: An Empiricist's Companion
Joshua D. Angrist
4.7
The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.
In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.
An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications
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Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.
By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.
Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?
Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.
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Recommended by Jj. Omojuwa and Ron Fournier.
Jj. Omojuwa
@SympLySimi Lol. Read this book. You’d love it. https://t.co/d2cLOyoiZ9 [source]
Ron Fournier
Just finished, “Everybody Lies” by @SethS_D, which in addition to being a tremendous education on Big Data, includes the best conclusion to a non-fiction book I’ve ever read. Read it. -30- [source]
An economist's version of The Way Things Work, this engaging volume is part field guide to economics and part expose of the economic principles lurking behind daily events, explaining everything from traffic jams to high coffee prices. The Undercover Economist is for anyone who's wondered why the gap between rich and poor nations is so great, or why they can't seem to find a decent second-hand car, or how to outwit Starbucks. This book offers the hidden story behind these and other questions, as economist Tim Harford ranges from Africa, Asia, Europe, and of course the United States to reveal how supermarkets, airlines, and coffee chains--to name just a few--are vacuuming money from our wallets. Harford punctures the myths surrounding some of today's biggest controversies, including the high cost of health-care; he reveals why certain environmental laws can put a smile on a landlord's face; and he explains why some industries can have high profits for innocent reasons, while in other industries something sinister is going on. Covering an array of economic concepts including scarce resources, market power, efficiency, price gouging, market failure, inside information, and game theory, Harford sheds light on how these forces shape our day-to-day lives, often without our knowing it. Showing us the world through the eyes of an economist, Tim Harford reveals that everyday events are intricate games of negotiations, contests of strength, and battles of wits. Written with a light touch and sly wit, The Undercover Economist turns "the dismal science" into a true delight.
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Recommended by Fabrice Grinda and Ola Olusoga.
Fabrice Grinda
I have lots of books to recommend, but they are not related to my career path. The only one that is remotely related is Peter Thiel’s Zero to One. That said here are books I would recommend. [source]
Ola Olusoga
Like Charlie Munger once said: “I’ve long believed that a certain system - which almost any intelligent person can learn - works way better than the systems most people use to understand the world. What you need is a latticework of mental models in your head. And, with that system, things gradually fit together in a way that enhances cognition. Just as multiple factors shape every system, multiple mental models from a variety of disciplines are necessary to understand that system". You can read this book to start building a "latticework of mental models in your head". [source]
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A Guide to Econometrics,
Peter Kennedy
4.3
A Guide to Econometrics has established itself as the first-choice text for teachers and students throughout the world. It provides an overview of the subject and an intuitive feel for its concepts and techniques without the notation and technical detail that necessarily characterize an econometrics textbook. The fourth edition updates the contents and references thoughout, while retaining the basic structure and flavor of earlier editions. New material has been added on several topics, such as bootstrapping, count data, duration models, generalized method of moments, instrumental variable estimation, linear structural relations, Monte Carlo studies, neural nets, time series analysis, and VARs. A new appendix and a new type of exercise underline the importance of the sampling distribution concept.
The best intuition builder in both statitics and econometrics. I have been reading the various editions throught my career. Please, keep updating it, Peter Kennedy! [source]
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Mastering 'Metrics: The Path from Cause to Effect
Joshua D. Angrist
4.3
An accessible and fun guide to the essential tools of econometric research
Applied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu-themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful.
The five most valuable econometric methods, or what the authors call the Furious Five--random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences--are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda's Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife's life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse.
Wielding econometric tools with skill and confidence, Mastering 'Metrics uses data and statistics to illuminate the path from cause to effect.
Shows why econometrics is important Explains econometric research through humorous and accessible discussion Outlines empirical methods central to modern econometric practice Works through interesting and relevant real-world examples
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The Art of War (Deluxe Hardbound Edition) (Fingerprint! Classics)
Sun Tzu
4.3
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Time Series Analysis
James Douglas Hamilton
4.3
The last decade has brought dramatic changes in the way that researchers analyze economic and financial time series. This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results.
The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.
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The Reckoning
David Halberstam
4.3
"In just 25 years we have gone from the American century to the American crisis," Felix Rohatyn, financier & social critic, sets the theme: the fateful challenge to American industrial supremacy. Five years in the making, THE RECKONING reveals a society that got too rich for its own good, racing thru its postwar prosperity, developing wasteful habits. Finally in the mid-70s it fell prey to an unlikely rival: Japan, a nation only recently scorned for the low quality of its goods. This chastening study, portrays the conflict between the culture of affluence & that of adversity. It's a high-minded reminder that America's greatness is on the line & that vigilance is the price of survival. Maxwell's warning -- Amaya surveys the oil age -- Detroit's bleak winter of 1982 -- The founder -- The destroyer -- The victor -- The banker -- The turning point -- The crushing of Masuda -- Tough little rich boy -- The whiz kids -- Ford goes public -- The quiet man -- The Gaijin teachers -- The engineer -- The first victory -- Deming finds an audience -- Henry Kaiser tries Detroit -- The organizer -- The Mustang -- The rivals -- The statue -- The boss -- The pioneer -- The liberation of Yukata Katayama -- The Emperor Shioji -- War and oil -- Henry Ford besieged -- The alienated -- Citizen Nader -- Datsun saves -- The struggle at the top -- Big cars again -- A vacancy at Chrysler -- The arrivistes -- Greathouse in Tokyo -- A man of the system -- Hard times come home -- The fall of a free trader -- Amaya ends an era -- The defection of Marvin Runyon -- The hammer and the nail -- A grateful worker -- Bonus time again -- The scion -- The new American hero -- The raiders -- OPEC unravels -- The upstarts -- The jobs depart -- Instant replay : the rise of Korea -- The venerables -- The reckoning -- The past becomes the future Author's Note Bibliography Index
This one sort of speaks to something I’ve long been interested in. We get this general education in schools that follows the basic themes of presidents and wars and that kind of thing and then there’s this alternative history of finance and economics, and Lords of Finance impressed me because it gives you that alternative history, particularly through the inter-war years from the end of World War I into the Great Depression. A buddy of mine described it as The Guns of August for global finance and I think that sums it up nicely. It’s a great history. [source]
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Bounce: Mozart, Federer, Picasso, Beckham, and the Science of Success
Matthew Syed
4.2
In the vein of the international bestselling Freakonomics, award-winning journalist Matthew Syed reveals the hidden clues to success—in sports, business, school, and just about anything else that you’d want to be great at. Fans of Predictably Irrational and Malcolm Gladwell’s The Tipping Point will find many interesting and helpful insights in Bounce.
Recommended by James Altucher, Max Mosley, and Melody Hossaini.
And while you are at it, throw in “Bounce” by Mathew Syed, who was the UK Ping Pong champion when he was younger. I love any book where someone took their passion, documented it, and shared it with us. That’s when you can see the subtleties, the hard work, the luck, the talent, the skill, all come together to form a champion. Heck, throw in, “An Astronaut’s Guide to Earth” by Commander Chris Hadfield. [source]
Max Mosley
Bounce is fascinating. Matthew Syed was Britain’s number one table-tennis player for about 10 years and he’s now a top sports journalist on The Times. He writes extremely well. His thesis is that talent isn’t what matters, it’s all about hours and hours of training. The conventional view, and certainly my view before reading this book, is that some people are supremely gifted and therefore rise to the top of sport. But he says talent has got little, if anything, to do with success and it’s all to do with circumstances and the amount of practice they get. He gives example after example. To me the most fascinating example is of a Hungarian called Polgar in the 1960s who formed the same view. He advertised for a wife, found a wife and had three daughters. Then he thought: ‘What can I train them to do that has unquestionable standards and it’s not judged subjectively?’ He hit on chess. So, he set about making them interested in and practising chess and all three daughters became, successively, the best in the world – first female grandmaster, championships at the age of 14 and so on. [source]
Melody Hossaini
I came across this book by chance, read a few pages and was intrigued by the examples to prove how experts in their field (in this case, drawn mostly from the world of Sports) come to be experts. The book will leave you empowered that one can truly become anything, and that you can defy genetical and circumstantial hinderances through the input of time and practice in your chosen field. I found the real-life examples and stories the most fascinating. Well-written and to the point. [source]
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Introductory Econometrics: A Modern Approach
Jeffrey M. Wooldridge
4.2
Discover how empirical researchers today actually consider and apply econometric methods with the practical approach in Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E. Unlike traditional texts, this book uniquely demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions in business, policy evaluation, and forecasting. INTRODUCTORY ECONOMETRICS is organized around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant applications, the text incorporates more than 100 intriguing data sets, available in six formats. Updates introduce the latest emerging developments in the field. Gain a full understanding of the impact of econometrics in practice today with the insights and applications found only in INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E.
Folks frequently ask “What are the books that changed your life?” If I tell them, they are usually radically disappointed. I find that curious. I just cleared out of an office, and these are 4 shelves of spines of books that mattered enough to me to bring home. So here they are. [source]
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Applied Econometric Time Series
Walter Enders
4.2
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. The first edition of Applied Econometric Time Series was among those chosen. This new edition reflects recent advances in time-series econometrics, such as out-of-sample forecasting techniques, non-linear time-series models, Monte Carlo analysis, and bootstrapping. Numerous examples from fields ranging from agricultural economics to transnational terrorism illustrate various techniques.
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Econometric Analysis
William H. Greene
4.2
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Econometrics
Fumio Hayashi
4.2
Hayashi's Econometrics promises to be the next great synthesis of modern econometrics. It introduces first year Ph.D. students to standard graduate econometrics material from a modern perspective. It covers all the standard material necessary for understanding the principal techniques of econometrics from ordinary least squares through cointegration. The book is also distinctive in developing both time-series and cross-section analysis fully, giving the reader a unified framework for understanding and integrating results.
Econometrics has many useful features and covers all the important topics in econometrics in a succinct manner. All the estimation techniques that could possibly be taught in a first-year graduate course, except maximum likelihood, are treated as special cases of GMM (generalized methods of moments). Maximum likelihood estimators for a variety of models (such as probit and tobit) are collected in a separate chapter. This arrangement enables students to learn various estimation techniques in an efficient manner. Eight of the ten chapters include a serious empirical application drawn from labor economics, industrial organization, domestic and international finance, and macroeconomics. These empirical exercises at the end of each chapter provide students a hands-on experience applying the techniques covered in the chapter. The exposition is rigorous yet accessible to students who have a working knowledge of very basic linear algebra and probability theory. All the results are stated as propositions, so that students can see the points of the discussion and also the conditions under which those results hold. Most propositions are proved in the text.
For those who intend to write a thesis on applied topics, the empirical applications of the book are a good way to learn how to conduct empirical research. For the theoretically inclined, the no-compromise treatment of the basic techniques is a good preparation for more advanced theory courses.
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The Economic Consequences of the Peace
John Maynard Keynes
4.2
A new edition of the seminal text by the father of modern economics.
First published in 1919, John Maynard Keynes’s The Economic Consequences of the Peace created immediate controversy. Keynes was a firsthand witness to the negotiations of the Paris Peace Conference, as an official representative of the British Treasury, and he simultaneously sat as deputy for the chancellor of the Exchequer on the Supreme Economic Council. In these roles, he was able to perceive with great clarity the tenor and perspective that would come to shape Europe after the First World War. What he saw disturbed him greatly, and eventually he resigned from both these roles, convinced that there was no longer any way to avoid an unjust peace treaty.
After his resignation, Keynes began work on The Economic Consequences of the Peace, which argues that the peace made at the end of World War I was an unfair, dehumanizing one for Germany and the other vanquished countries. Keynes’s warning proved prophetic when Hitler and the Nazi Party rose to power fourteen years later as a direct result of the disastrous economic condition in Germany. Keynes’s predictions helped cement his status as one of history’s leading economists. His works are essential reading today for anyone who wishes to understand modern governments and economies. This edition also includes an introduction from former Chairman of the Federal Reserve Paul Volcker, who elegantly contextualizes the continuing relevance of Keynes’s work to contemporary society.
It’s among the dozen—perhaps half-dozen—most influential economics books that have ever been written. [source]
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The Art of War (Deluxe Hardbound Edition)
Sun Tzu
4.2
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Econometric Analysis of Cross Section and Panel Data
Jeffrey M. Wooldridge
4.2
This text provides a rigorous treatment of contemporary methods used in microeconometric research. The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association.
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Schaum's Outline of Statistics and Econometrics (Schaum's Outline Series)
Dominick Salvatore
4.2
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How Not to Be Wrong: The Power of Mathematical Thinking
Jordan Ellenberg
4.2
The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands
The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.
Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?
How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God.
Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.
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Recommended by Bill Gates, Auston Bunsen, and Nick Ganju.
The writing is funny, smooth, and accessible -- not what you might expect from a book about math. What Ellenberg has written is ultimately a love letter to math. If the stories he tells add up to a larger lesson, it’s that 'to do mathematics is to be, at once, touched by fire and bound by reason' -- and that there are ways in which we’re all doing math, all the time. [source]
Auston Bunsen
I’ve got a few, one book that really impacted me early on as someone coming from a middle-class family was “Rich dad, Poor dad”. Since then I’ve read many books but one that really stands out is “How not to be wrong” by Jordan Ellenberg which really reignited my appetite & appreciation for math. [source]
Nick Ganju
Written for an audience of people who have historically been intimidated by math … and introduces things in a very simple way, and then works up to more complex concepts. [source]
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Real Econometrics: The Right Tools to Answer Important Questions
Michael Bailey
4.2
An engaging and practical introduction to econometrics, Real Econometrics: The Right Tools to Answer Important Questions provides thorough coverage of the most frequently used methods of analysis and a diverse array of examples and case studies. Grounded in contemporary understandings of causal inference, the text invites students to see how econometric tools can help answer interesting questions ranging from whether police reduce crime, to how drinking affects students' grades, and to whether or not tall people make higher wages. This emphasis on practical applications, combined with a lively and conversational narrative, provides students with a solid foundation in the analytical tools they will use throughout their academic and professional careers.
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Experimental Economics: Theory and Practice
John A. List
4.2
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Econometrics
Bruce Hansen
4.1
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El arte de gastar dinero: Pequeñas decisiones para una vida más rica
Morgan Housel, Arnau Figueras Deulofeu - translator
4.1
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The Richest Man in Babylon (DF Self-Help Treasure Book 3)
George S. Clason
4.1
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Theory of Games and Economic Behavior
John von Neumann, Oskar Morgenstern, et al.
4.1
This is the classic work upon which modern-day game theory is based. What began more than sixty years ago as a modest proposal that a mathematician and an economist write a short paper together blossomed, in 1944, when Princeton University Press published Theory of Games and Economic Behavior. In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry it yielded--game theory--has since been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations. And it is today established throughout both the social sciences and a wide range of other sciences.
This sixtieth anniversary edition includes not only the original text but also an introduction by Harold Kuhn, an afterword by Ariel Rubinstein, and reviews and articles on the book that appeared at the time of its original publication in the New York Times, tthe American Economic Review, and a variety of other publications. Together, these writings provide readers a matchless opportunity to more fully appreciate a work whose influence will yet resound for generations to come.
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Recommended by Ariel Rubinstein.
Ariel Rubinstein
This was the first comprehensive attempt to put many game theoretical ideas together. They set up the style, the concepts and the level of abstraction. [source]
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Introductory Econometrics for Finance
Chris Brooks
4.1
A complete resource for finance students, this textbook presents the most common empirical approaches in finance in a comprehensive and well-illustrated manner that shows how econometrics is used in practice, and includes detailed case studies to explain how the techniques are used in relevant financial contexts. Maintaining the accessible prose and clear examples of previous editions, the new edition of this best-selling textbook provides support for the main industry-standard software packages, expands the coverage of introductory mathematical and statistical techniques into two chapters for students without prior econometrics knowledge, and includes a new chapter on advanced methods. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Online resources include extensive teacher and student support materials, including EViews, Stata, R, and Python software guides.
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The 21 KEYS Of Success: Ridin’ With Rick
Kolie Crutcher and Rick Ross
4.1
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Basic Econometrics
Damodar N. Gujarati
4.1
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Capitalism, Alone: The Future of the System That Rules the World
Branko Milanovic
4.1
Recommended by Alberto Garzón.
Alberto Garzón
@BrankoMilan Great news! thank you very much and congratulations, your book is very good. [source]
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The Handbook of Historical Economics
Alberto Bisin
4.1
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Mathematical Formulas for Economists
Bernd Luderer, Volker Nollau, and Klaus Vetters
4.1
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The Model Thinker: What You Need to Know to Make Data Work for You
Scott E. Page
4.1
How anyone can become a data ninja
From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models--from linear regression to random walks and far beyond--that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.
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Predicting Presidential Elections and Other Things, Second Edition
Ray Fair
4.1
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Palgrave Handbook of Econometrics: Volume 2: Applied Econometrics (Palgrave Handbook of Econometrics (Paperback))
Terence C. Mills and Kerry Patterson
4.1
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The Vampire State: And Other Myths and Fallacies About the U.S. Economy
Fred L. Block
4.1
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The Book of R: A First Course in Programming and Statistics
Tilman M. Davies
4.1
"The Book of R" is a comprehensive, beginner-friendly guide to R, the world's most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you'll find everything you need to begin using R effectively for statistical analysis.
You'll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You'll even learn how to create impressive data visualizations with R's basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.
Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loopsStatistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in RHow to access R's thousands of functions, libraries, and data setsHow to draw valid and useful conclusions from your dataHow to create publication-quality graphics of your resultsCombining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R's functionality. Make "The Book of R" your doorway into the growing world of data analysis.
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Recommended by Kirk Borne.
Kirk Borne
Love this!! —> "The Book of R: A First Course in Programming & #Statistics" https://t.co/aaJOBaBEFT 🌟830-page complete book of R #coding fundamentals🌟 —————— #Rstats #BigData #DataScience #AI #MachineLearning #DataViz #Algorithms #DataScientists #DataMining #AppliedMathematics https://t.co/lfc3LTQana [source]
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38
Macroeconomic Policy: Demystifying Monetary and Fiscal Policy (Springer Texts in Business and Economics)
Farrokh K. Langdana
4.1
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39
Dynamic General Equilibrium Modeling: Computational Methods and Applications (Springer Texts in Business and Economics)
Burkhard Heer and Alfred Maußner
4.1
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40
Statistics for Business & Economics
James McClave, P. Benson, and Terry Sincich
4.0
Cover unavailable
41
Collectivist economic planning;: Critical studies on the possibilities of socialism, (Reprints of economic classics)
N. G.; Ludwig von Mises; Friedrich A. von Hayek; George Halm; Enrico Ba Pierson
4.0
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42
DSGE Models for Real Business Cycle and New Keynesian Macroeconomics: Theoretical Methods and Numerical Solutions with DYNARE
Giuseppe Chirichiello
4.0
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43
Modern Money Theory: A Primer on Macroeconomics for Sovereign Monetary Systems
L. Randall Wray
4.0
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44
Innovation by Design: Innovation Management Systems for Global Impact (The Complete Guide to Business Innovation Book 3)
Magnus Penker, Gerry Purcell, Christer Fuglesang, and Jack Roberts
4.0
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45
Order Book: Sales Order Log Book/ Customer Order Forms / Order Book Small Business / Keep Track of Your Customer Orders / 108
o merwas
4.0
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46
Hot Money and the Politics of Debt, Third edition
R.T. Naylor
4.0
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47
Analyzing Dependent Data with Vine Copulas: A Practical Guide With R (Lecture Notes in Statistics, 222)
Claudia Czado
4.0
Cover unavailable
48
Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R
Christian Heumann
4.0
This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital.
The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
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Cover unavailable
49
Using Julia for Introductory Econometrics
Florian Heiss and Daniel Brunner
4.0
Cover unavailable
50
Risk and Portfolio Analysis: Principles and Methods (Springer Series in Operations Research and Financial Engineering)
Henrik Hult, Filip Lindskog, Ola Hammarlid, and Carl Johan Rehn
4.0
Cover unavailable
51
The Methodology of Economic Model Building (Routledge Revivals): Methodology after Samuelson
Lawrence A. Boland
4.0
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52
Deconstructing Credit Cycles
Steven Ricchiuto
4.0
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53
Solutions Manual to Elements of Econometrics
Jan Kmenta
4.0
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54
Bayesian Estimation of DSGE Models (The Econometric and Tinbergen Institutes Lectures)
Edward P. Herbst and Frank Schorfheide
4.0
Cover unavailable
55
Computational Solution of Large-Scale Macroeconometric Models (Advances in Computational Economics, 7)
Giorgio Pauletto
4.0
Cover unavailable
56
The World in the Model
Mary S. Morgan
4.0
Recommended by Niall Kishtainy.
Niall Kishtainy
If you think of the starting point of modern economics as, say, Adam Smith, what she’s really trying to explain is how we got from him…to today’s economics, which is these tightly specified models. [source]
Cover unavailable
57
Laws of Chaos: A Probabilistic Approach to Political Economy
From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming (EURO Advanced Tutorials on Ope
Paolo Brandimarte
4.0
Cover unavailable
60
Applied Econometrics
Dimitrios Asteriou
4.0
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61
Spatial Microeconometrics (Routledge Advanced Texts in Economics and Finance)
Giuseppe Arbia
4.0
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62
Hypernomics: Using Hidden Dimensions to Solve Unseen Problems
Doug Howarth
4.0
Cover unavailable
63
Stochastic Choice Theory (Econometric Society Monographs)
Tomasz Strzalecki
4.0
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64
Revealed Preference Theory (Econometric Society Monographs Book 56)
Christopher P. Chambers and Federico Echenique
4.0
Cover unavailable
65
PRINCIPLES OF MONEY.: (Rules of Money)
MATHEW MULWA
4.0
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66
Introductory Business Statistics by OpenStax
OpenStax
4.0
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67
Analysis of Financial Time Series
Ruey S Tsay
4.0
This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described.The author begins with basic characteristics of financial time series data before covering three main topics: Analysis and application of univariate financial time seriesThe return series of multiple assetsBayesian inference in finance methods
Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets.
The overall objective of the book is to provide some knowledge of financial time series, introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods.
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68
Introduction to Econometrics
James Stock
4.0
In this new textbook by distinguished econometricians James H. Stock and Mark W. Watson, real-world questions and data from actual empirical studies open a window through which the vitality and relevance of econometrics come into clear focus. The breadth of topics - including an introduction to program evaluation, panel data methods, instrumental variables regression, and regression with time series data - reflects the best of contemporary applied econometrics.
Eric Weinstein recommended this book on Twitter. [source]
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69
Efficiency Wage Models of the Labor Market
George A. Akerlof and Janet L. Yellen
4.0
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70
Advanced Econometrics
Takeshi Amemiya
4.0
Advanced Econometrics is both a comprehensive text for graduate students and a reference work for econometricians. It will also be valuable to those doing statistical analysis in the other social sciences. Its main features are a thorough treatment of cross-section models, including qualitative response models, censored and truncated regression models, and Markov and duration models, as well as a rigorous presentation of large sample theory, classical least-squares and generalized least-squares theory, and nonlinear simultaneous equation models.
Although the treatment is mathematically rigorous, the author has employed the theorem-proof method with simple, intuitively accessible assumptions. This enables readers to understand the basic structure of each theorem and to generalize it for themselves depending on their needs and abilities. Many simple applications of theorems are given either in the form of examples in the text or as exercises at the end of each chapter in order to demonstrate their essential points.
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71
Continuous-Time Models in Corporate Finance, Banking, and Insurance: A User's Guide
Santiago Moreno-Bromberg and Jean-Charles Rochet
4.0
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72
Economic Forecasting
Graham Elliott and Allan Timmermann
4.0
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73
Probability and Statistics for Economists
Bruce Hansen
4.0
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74
Rugbynomics: Using Data to Tackle Rugby’s Biggest Myths and Misconceptions
Chris Carter
4.0
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75
The Oxford Handbook of Banking: Third Edition (Oxford Handbooks)
Allen N. Berger, Philip Molyneux, and John O.S. Wilson
4.0
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76
Quantum Methods In Social Science: A First Course
Emmanuel Haven
4.0
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77
Generalized Vectorization, Cross-Products, and Matrix Calculus
Darrell A. Turkington
4.0
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78
The Karmic Cycle: Achieving A Job And Life Balance: Self-Help Book
Argentina Binstock
4.0
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79
Analysis of Panel Data
Cheng Hsiao
4.0
This book provides a comprehensive, coherent, and intuitive review of panel data methodologies that are useful for empirical analysis. Substantially revised from the second edition, it includes two new chapters on modeling cross-sectionally dependent data and dynamic systems of equations. Some of the more complicated concepts have been further streamlined. Other new material includes correlated random coefficient models, pseudo-panels, duration and count data models, quantile analysis, and alternative approaches for controlling the impact of unobserved heterogeneity in nonlinear panel data models.
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80
Python in Excel Advanced: Mastering Data Analysis and Financial Modeling with Python Automation in Excel
Hayden Van Der Post and Alice Schwartz
4.0
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81
Theory of Rank Tests (Probability and Mathematical Statistics)
Zbynek Sidak, Pranab K. Sen, and Jaroslav Hajek
4.0
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82
The GVAR Handbook: Structure and Applications of a Macro Model of the Global Economy for Policy Analysis
Filippo di Mauro and M. Hashem Pesaran
4.0
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83
Invertir en Bolsa partiendo de cero y aprendiendo de los mejores: una guía para principiantes para aprender los secretos: trading online, pattern, inversiones y análisis fundamental (Spanish Edition)
Gianmarco Venturisi
4.0
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84
The Shapley Value: Essays in Honor of Lloyd S. Shapley
Alvin E. Roth
4.0
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85
Economics: Principles and Practices
Gary E. Clayton
4.0
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86
Disorganized Crimes: Why Corporate Governance and Government Intervention Failed, and What We Can Do About It
Bernard E. Munk
4.0
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87
Handbook of Econometrics (Volume 6B) (Handbooks in Economics, Volume 6B)
James J. Heckman and Edward Leamer
4.0
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88
The Spectral Analysis of Time Series (Probability and Mathematical Statistics)
Lambert H. Koopmans
4.0
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89
R for Economic Research: Essential tools for modern economic analysis
J. Leripio
4.0
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90
Introductory Econometrics: A Modern Approach
Jeffrey Wooldridge
4.0
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91
The Linear Complementarity Problem (Computer Science and Scientific Computing)
Richard W. Cottle, Jong-Shi Pang, and Richard E. Stone
4.0
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92
Handbook of Computational Economics: Agent-Based Computational Economics (Volume 2) (Handbooks in Economics, Volume 2)
Leigh Tesfatsion and Kenneth L. Judd
4.0
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93
STAGFLATION AND THE GLOBAL ECONOMY: ALL YOU NEED TO KNOW ABOUT STAGFLATION AND HOW TO BEAT IT
CHRISTOPHER HOLMES
4.0
Cover unavailable
94
Official Statistics 4.0: Verified Facts for People in the 21st Century
Walter J. Radermacher
4.0
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95
Problems Book to accompany Mathematics for Economists
Tamara Todorova
4.0
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96
US Error Coin Guidebook: The Collector's Handbook for Navigating the World of Error Coins with Expert Insights and Clear Visu
Thaddeus Fennel
4.0
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97
The Oxford Handbook of Credit Derivatives (Oxford Handbooks in Finance)
Alexander Lipton and Andrew Rennie
4.0
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98
Financial Economics and Econometrics (Routledge Advanced Texts in Economics and Finance)
Nikiforos T. Laopodis
4.0
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99
Foundations of Mathematical Economics (Mit Press)
Michael Carter
4.0
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100
In All Likelihood: Statistical Modelling and Inference Using Likelihood