Econometrics
links and files
- course syllabus
- message board
- problem set (PDF)
- answers to #1 (PDF)
- answers to #2 (PDF)
- answers to #3 (PDF)
- answers to #4 (PDF)
- monopsonist and minimum wage
- my statistics course
- statistics references and software
- my OLS lesson
datasets
- datasets for course project
- my Analysis of the "Biagi Law" (PDF)
- Teaching with the "Biagi Law" Data
- Italian data: CSV file R script Gretl data
- OECD data: CSV file R script Gretl data
- Phillips Curve: wikipedia doviak.net
- OECD Indicators of Employment Protection
- EPL dataset description (PDF)
- Wikipedia. Minimum Wage
- Schmitt (CEPR, 2013). effect on employment
course outline
- introductory discussions
- statistics vs. machine learning
- Bender and Koller (2020). "Climbing towards NLU"
- the octopus test – notes on Bender and Koller's paper
- Wdowiak. monopsonist and minimum wage
- Wdowiak (2017). minimum wage, employment and annual pay
- background -- statistics and probability
- bivariate normal distribution, (wxM) (PDF)
- lecture 1 -- ordinary least squares
- Studenmund, chaps. 1, 2 and 3
- notes on regression, (PDF)
- OLS regression, (PDF)
- OLS regression, (R script)
- OLS regression, (wxM) (PDF)
- problems #4 and #1
- lecture 2 -- maximum likelihood
- Kennedy, chaps. 1, 2 and 3
- MLE mean-variance, (wxM) (PDF)
- MLE regression, (wxM) (PDF)
- MLE 2nd o.c., (wxM) (PDF)
- problem #2
- lecture 3 -- hypothesis testing
- Studenmund, chaps. 4 and 5
- Kennedy, chap. 4
- MLE explanations, (wxM) (PDF)
- distribution of beta hat, (R script)
- problems #3 and #4
- lecture 4 -- violations of the Gauss-Markov assumptions
- Kennedy, chaps. 5, 6 and 7
- lecture 5 -- panel data
- Studenmund, chap. 16
- Kennedy, chap. 18
- lecture 6 -- heteroskedascity
- Studenmund, chap. 10
- Kennedy, chap. 8
- heteroskedascity in the logit model
- lecture 7 -- probability models
- Studenmund, chap. 13
- Kennedy, chaps. 16 and 17
- logit model, (wxM) (PDF)
- lecture 8 -- time-series
- Studenmund, chaps. 9, 12 and 15
- Kennedy, chaps. 10, 19 and 20
- non-stationary residuals, (wxM) (PDF)
- lecture 9 -- simultaneous equations
- Studenmund, chap. 14
- Kennedy, chap. 11
references and software
- statistics
- my statistics course
- L.&H. Friedman's statistics course
- statistical software
- mathematical software
- Maxima and wxMaxima
- wxMaxima installation instructions (U. New Haven)
- Josef Leydold's Maxima for Economics
- Zachary Hannan's wxMaxima for Calculus
textbooks
- required:
- A.H. Studenmund. Using Econometrics: A Practical Guide.
- P. Kennedy. A Guide to Econometrics.
- other suggestions:
- L. Adkins (2018). Using gretl for Principles of Econometrics.
- note: Lee Adkins is the author of LearnEconometrics.com
- DeGroot and Schervish. Probability and Statistics.
- Pearce. The MIT Dictionary of Modern Economics.
Copyright © 2002-2025 Eryk Wdowiak
