Great Textbooks for Graduate Students

[Maroeconomics] [Econometrics] [Time Series] [Math&Statistics]
[Microtheory] [Math Economics] [Game&Auction] [Int'l Economics]
[Ind. Organization] [Computational] [Finance]

    Be sure to check "Economists" for free economics lecture notes.

     Macroeconomics

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    Econometrics

  • A Course in Econometrics by Arthur S. Goldberger: Traditional textbook; simple but very clear explanations

  • Econometric Analysis by William H. Greene: Encyclopedia!; very practical textbook when you do empirical stuff

  • Econometrics by Hayashi: Excellent textbook; if you are leaning toward to time series, you should have this book, since it covers lots of time series topics with easy to follow explanation; you may not like this book when you read it first, be patient, and try to read it again. 

  • An Introduction to Classical Econometric Theory by Ruud: Very comprehensive and rigorous textbook; it uses geometrical illustration often, and it can be very helpful when you are lost in algebra

  • Topics in Advanced Econometrics by Bierens: This book does not cover all area as Greene does. But it gives very rigorous illustration on select topics; Excellent chapters on modes of convergence and nonstationary time series

  • Advanced Econometrics by Takeshi Amemiya: Rather hard to understand if you are not good at math; use elegant and rigorous approach

  • Econometric Methods by Johnston and Dinardo: Simple, easy to understand; good for smart undergraduates, too 

  • Handbook of Econometrics (Handbooks in Economics 2), Vol.4  (edited by Engle and McFadden): Absolutely fantastic book; If you are in econometrics field, you must have one.; very expensive, though

  • Time Series Analysis by James D. Hamilton: Fabulous textbook; every thing you need

  • The Econometrics of Financial Markets by Campbell, Lo, and MacKinlay: It delivers most econometric methods for financial market analysis; Fabulous reference for empirical finance economists

  • A Guide to Econometrics by Peter Kennedy; Simple and intuitive explanations on a wide range of topics; good for smart undergraduates, too

  • Nonparametric Econometrics by Pagan and Ullah: easier to follow; Very popular textbook for non(semi)parametric econometrics

  • Applied Nonparametric Regression by Wolfgang Härdle: Another popular textbook for nonparametric econometrics; excellent illustration on why and how to smooth

  • Limited-Dependent and Qualitative Variables in Econometrics by G.S. Maddala: Classic but excellent textbook especially for microeconometricians; too sad we cannot expect new edition

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    Time Series

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    Mathematics and Statistics

  • Elementary Classical Analysis by Marsden: Excellent reference book for Economics graduate students; easier to follow and lots of examples to help you understand concepts

  • Mathematical Analysis by Apostol: Good for Economics graduate students who needs firm mathematics background

  • Real Analysis by Royden: Very good real analysis book; if you want to study time series, this is what you have to start with; very good illustration about linear spaces

  • Introduction to Stochastic Dynamic Programming by Sheldon Ross: Dynamic Programming book; concise; great examples

  • Statistical Inference by Casella and Berger: Newly recognized book; good for 1st year Economics graduate students

  • Probability and Measure by Billingsley: Classic and outstanding reference for those in time series field; very comprehensive

  • Optimization by Vector Space Methods by Luenberger: Excellent exposition of Hilbert Space; if you plan to study time series, you may need this book

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    Microtheory

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    Mathematical Economics

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    Game and Auction

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    International Economics

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    Industrial Organization

  • The Theory of Industrial Organization by Jean Tirole: The first primary textbook to treat new industrial organization theory (I don't know much about this field. However, many people in this field recommend this book for a starter.)

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   Computational Economics

  • Numerical Methods in Economics by Kenneth Judd: As you know, theorists these days solve dynamic programming problem using computer program more often rather than solving simple models analytically by hand. And we also use computer for calibration and simulation to evaluate your models. You may start with this book if you consider such methodology.

  • Applied Computational Economics and Finance by Miranda and Fackler: This book is very practical and you can use variety of well-written Matlab codes from authors. Check out here for Matlab toolbox.

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   Finance 

  • Dynamic Asset Pricing Theory by Duffie: Best textbook for those specializes in asset pricing; May not be suitable for master students

  • Asset Pricing by Cochrane: If you think Duffie's book  is too challenging, you want this book. Check the author's website to get a sample chapter

  • The Econometrics of Financial Markets by Campbell, Lo, and MacKinlay: It delivers most econometric methods for financial market analysis; Fabulous reference for empirical finance economists

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