Statistics Applied to Economics
This is a second quarter in Statistics, for students who have previously taken a quarter in Descriptive Statistics and Probability. It is taught to students in Economics.Syllabus and bibliography
The syllabus and a collection of past exams can be obtained from Lankopi, in the basement. The syllabus lists several textbooks that can be used in this course.Class notes, data files, handouts, etc.
All course materials while the course is being taught are in e-Gela; here are old copies. Other than slides, I usually put here copies of the handouts given in class, with brief outlines of the lectures. Note that for each topic you will find either a handout or slides, but not both.Lecture outlines
- Review (probability distributuions, moment generating function, etc.) .
- Binomial distribution and normal approximation .
- Binomial distribution and normal approximation. Solutions .
- Case studies illustrating the use of some common distributions .
- Problems: gamma, chi-square, Student's t distribution .
- Problems: maximum likelihood estimation, unbiasedness .
- Problems: more maximum likelihood estimation .
- Problems: unbiasedness and consistency .
- Problems: consistency, unbiasedness, Cramer-Rao lower bound .
Slides
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Distributions (Poisson, gamma...).
Format 4 x page without   or with   space for notes -
Estimation: properties of estimators (I).
Format 4 x page without   or with   space for notes -
Estimation: consistency, Cramer-RAo lower bound, sufficiency (II).
Format 4 x page without   or with   space for notes . -
Hypothesis tests. Neyman-Pearson theorem (I).
Format 4 x page without   or with   space for notes. -
Hypothesis tests (II).
Format 4 x page without   or with   space for notes. - Sampling. Format 1 x page  
R code used in lectures
Flat text files so that you can reproduce everything we did in class.-   Introductory sesion to R. Updated: 31-01-2013.
-   Illustrating the normal approximation to the binomial. Updated: 09-02-2012.
-   Illustrating the use of simulation (Poisson). Updated: 26-12-2016.
Seminars and activities
-   A simple example using the Monte Carlo method . Updated: 11-02-2014.
-   Activity 1. Using the Monte Carlo method . Updated: 12-02-2013.
-   Activity 2 preparation . Updated: 14-03-2013.
-   Activity 2. Convergence in probability, distribution, CLT . Updated: 27-03-2013.
-   Sufficiency, maximum likelihood (Seminar 2.5) . Updated: 13-12-2012.
-   Seminar 3. Contingency tables, hypothesis testing . Updated: 16-04-2013.
-   Activity 3. Statistical hypothesis testing: intellectual monopoly. . Updated: 16-04-2013.
Exams with answers
See in e-Gela. You also have exams of the last five years in Lankopi (only in Spanish). For the current year,-   First quiz 2011-2012 (binomial, Poisson, gamma, etc.), with answers .
-   Second quiz 2011-2012 (estimation, hypothesis testing etc.), with answers .
-   Final May, 31, 2012 with answers .
Software
The students are responsible to know how to perform all required calculations with the only help of a pocket calculator and statistical tables. However, you are encouraged to use R for homework and everyday use. See also the page about R in the departamental server.