Statistical Method in Economics >> Content Detail

Study Materials


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Part 1

The text, which will be followed closely, is:

Amazon logo Casella, George, and Roger Berger. Statistical Inference . 2nd ed. Pacific Grove, CA: Thomson Learning, 2002. ISBN: 9780534243128.

This book covers all of the material in Part 1 and provides many problems for practice as well as excellent references.

Part 2

Amazon logo Greene, William. Econometric Analysis. 5th ed. Upper Saddle River, NJ: Prentice-Hall, 2003. ISBN: 9780130661890.

Errors in the 5th edition may be found here.

You can also find the material in any standard text on regression.

Readings by Topic

Part I

A. Brief review of probability
Brief review of probabilityCasella and Berger. Statistical Inference. Chapters 1-4.
B. Random samples and asymptotic methods
Sampling and sums of random variablesCasella and Berger. Statistical Inference. Sections 5.1-5.3.
Laws of large numbers and central limit theoremCasella and Berger. Statistical Inference. Section 5.5.
C. Statistical Theory
Point estimationCasella and Berger. Statistical Inference. Sections 7.2 and 6.2.1.
Evaluation of estimators: Unbiasedness, sufficiency, consistency, and the Cramer-Rao theoremCasella and Berger. Statistical Inference. Sections 7.3, 6.2.1, 6.2.2, and 10.1.
Interval estimationCasella and Berger. Statistical Inference. Chapter 9 and section 10.4.

Part II

D. Fundamentals of regression
Regression in economics

Greene. Econometric Analysis. Chapters 2 and 3 (skim chapters 7 and 8.)

Amazon logo Varian, H. "Econometrics." Chapter 12 in Microeconomic Analysis. 3rd ed. New York, NY: W.W. Norton and Company, 1992, pp. 198-214. ISBN: 9780393957358.

Newey, W. "Convergence Rates and Asymptotic Normality for Series Estimators." Journal of Econometrics 79 (1997): 147-168.

Amazon logo Judd, K. "Approximation Methods." Chapter 6 in Numerical Methods in Economics. Cambridge, MA: MIT Press, 1998, pp. 195-249. ISBN: 9780262100717.

Best linear predictor
Best linear approximation
Conditional expectation function
Building functional forms
E. Regression in finite samples
Basic regression algebraGreene. Econometric Analysis. Chapters 4 and 6.
Gauss-Markov optimality
Finite-sample inference under normality and non-normality
F. Regression in large samples

Greene. Econometric Analysis. Chapters 5, 6, 11, and 12.

Newey, W. "Asymptotic Theory of Least Squares." 14.382 Lecture Notes, Spring 2000.

Remarks on normality (PDF)

Asymptotic Normality
G. Special topics (if time permits)

Additional Readings

Appendices in Greene collect background material on matrices and large sample theory. See also the lecture notes.


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