Introduction to Statistical Method in Economics >> Content Detail

Study Materials


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This section includes assigned readings from the three main texts used in the course.

Required Text

Amazon logo [ROS]: Ross, Sheldon M. Probability and Statistics for Engineers and Scientists. 3rd ed. San Diego, CA: Academic Press, 2004. ISBN: 0125980574.

Recommended Texts

Amazon logo [LM]: Larsen, Richard J., and Morris L. Marx. An Introduction to Mathematical Statistics and its Applications. 3rd ed. Upper Saddle River, NJ: Prentice Hall, 2001. ISBN: 0139223037.

Amazon logo [DS]: DeGroot, Morris H., and Mark J. Schervish. Probability and Statistics. 3rd ed. Boston, MA: Addison-Wesley, 2002. ISBN: 0201524880.

Larsen and Marx's book is a bit more chatty than Ross', while DeGroot and Schervish's is a very good book but somewhat more difficult. You can find additional resources in the related resources section.

Assigned Readings

Readings are from Ross [ROS], Larsen and Marx [LM], and DeGroot and Schervish [DS]. Note that ROS does not cover all the topics but more closely follows the material taught in class.

1Set and Probability TheoryChapter 3Chapters 1.1–1.3, 2.1–2.10Chapters 1, 2.1–2.3
2Random Variables, Probability Mass/Density Function, Cumulative Distribution Function (Univariate Model)Chapters 4.1–4.2, 5.1, pp. 160-1Chapter 3.1–3.4Chapter 3.1–3.3
3Multiple Random Variables, Bivariate Distribution, Marginal Distribution, Conditional Distribution, Independence, Multivariate Distribution (Multivariate Model)Chapter 4.3Chapter 3.5–3.6, 3.9Chapter 3.4–3.7
4Expectation (Moments)Chapter 4.4–4.9Chapter 3.10–3.13, 3.15–3.16Chapter 4.1–4.7
5Review for Exam 1
6Random Variable and Random Vector Transformations (Univariate and Multivariate Models)Chapter 3.7Chapter 3.8–3.9
7Special Distributions (Discrete and Continuous)Chapter 5.1–5.8Chapters 3.3, 4.1–4.3, 4.5–4.6Chapter 5.1–5.6, 5.9
8Review for Exam 2
9Random Sample, Law of Large Numbers, Central Limit TheoremChapters 6, 4.9, 1, 2Chapters 3.14, pp. 272-5, 5.1, 5.4Chapters 4.8, 5.7, 7.1, 7.7
10Point Estimators and Point Estimation MethodsChapter 7.7 and 7.1–7.2Chapter 5.2Chapter 6.5–6.6
11Interval Estimation and Confidence IntervalsChapters 7.3–7.6, 5.8.2–5.8.3Chapter 5.3Chapter 7.5
12Hypothesis TestingChapter 8Chapters 6, 9.1–9.2Chapter 8
13Review for Exam 3

Advanced topics, time permitting: Bayesian Analysis and Nonparamatric Methods.


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