Course Outline | Target | Program | Course Instructors | Date & Schedule | Location | Price | References | Registration | Contacts

Timberlake (Portugal) and CEF.UP (U. Porto) are jointly organizing a set of applied Econometrics courses using Stata. The aim of these courses is to familiarize the participants with key econometric tools commonly used in applied research.

The courses include a quick discussion of the relevant econometric theory as well as an in-depth discussion of empirical applications using real data. The course will take place at FEP (U. Porto) on January 2016.

Course Outline

Day 1 Introduction to Stata
Day 2 Regression Analysis & Causality
Day 3 Panel Data
Day 4 Discrete Choice Models
Day 5 Count Data Models

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Day 1 - Miguel Portela: Introduction to Stata

1. Introduction to Stata: from menus to ‘do’ files
2. Handling data with different data types: Stata, ASCII, Excel, CSV, Web Data and ODBC
3. Data Reshaping
4. Combining different data sets: merge and fuzzy merge
5. Exploratory data analysis: descriptive statistics and graphic manipulation
6. From Stata to LaTex, Word and Excel: efficient procedures to export descriptive statistics, graphs and regression tables

Day 2 - João Cerejeira: Regression analysis & causality

1. Econometric concepts: Regression analysis — OLS & GLS
2. Basic issues in program evaluation; Causality and the problem of selection bias
3. Regression and causality
4. Instrumental variables (two stage least squares (2SLS); weak instruments; overidentification tests)
5. Propensity score matching
6. Longitudinal data: Differences-in-differences (DD)

Day 3 - Miguel Portela & Paulo Guimarães: Panel data

1. Panel data regression: dealing with endogeneity issues
2. Data structure & formulation of the model
4. Fixed and Random Effects in Static Models
5. Hausman test for the validity of the random effects model
6. Hypothesis testing, Test for the presence of fixed effects, Wald tests, testing multiple hypothesis
7. Heteroscedasticity, Autocorrelation, Robust Estimation
8. Dynamic Panel Data: endogeneity & GMM - First-differences & the System GMM estimator
9. High dimensional panel models

Day 4 - Anabela Carneiro: Discrete Choice Models

1. Binary Response Models
1.1. Maximum Likelihood Estimation
1.2. Measures of Fit
1.3. Marginal Effects
1.4. Hypothesis tests
2. Multinomial Models
3. Conditional Logit Models
4. Ordered models

Day 5 - Paulo Guimarães: Count Data Models

1. Discrete distributions
2. Poisson regression
3. Negative Binomial Regression
4. Conditional Counts
5. Zero Truncated Regression
6. Excess Zeros
7. Endogenous Regressors
8. Panel data

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The course is designed for Academic Staff and Master/PhD students with basic knowledge on statistics, econometrics and Stata. Those who are not familiarized with Stata should attend the first Day of the Winter School.

The course is also of interest to other Professionals with an interest on data analysis from an econometric perspective.

Practitioners who are interested in learning advanced techniques and raise their awareness of applied econometric methodologies will greatly benefit from this course.

The course will be taught in English.

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Course Instructors

Anabela Carneiro, FEP and CEF.UP, Universidade do Porto
João Cerejeira, Escola de Economia e Gestão and NIPE, Universidade do Minho
Miguel Portela, Escola de Economia e Gestão and NIPE, Universidade do Minho
Paulo Guimarães, Banco de Portugal, FEP and CEF.UP, Universidade do Porto

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Date & Schedule
  • Date: 25-29 January 2016
  • Duration: 30 hours (= 6*5)
  • Schedule: 09h30m – 17h30m [coffee-breaks: 11:00-11:30 + 15:30-16:00; lunch: 13:00 – 14:00]

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University of Porto – Faculty of Economics

Rua Dr. Roberto Frias
4200-464 Porto

* 10/12 minutes from city centre by public transports

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Prices in EUR / VAT (23%) not included
Note: If you belong to an organization outside Portugal, the course is VAT exempt (VAT number is required)

Academics/Students Non Academics
1-day course 180 300
2-day course 300 470
3-day course 400 630
4-day course 480 780
5-day course 540 860

The fee includes coffee-breaks and lunches. The course materials will be provided in electronic format. Payment of course fees required prior to the course start date.

Available places: 25

Participants must bring their own laptop. A temporary Stata license will be provided.

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Angrist, J. and Pischke, J.-S. (2008). Mostly Harmless Econometrics: An Empiricist's Companion, Princeton University Press.
Arellano, M. (2003). Panel Data Econometrics Advanced Texts in Econometrics, Oxford University Press.
Baum, K. (2006). An Introduction to Modern Econometrics using Stata, Stata Press.
Cameron, A. C. and Trivedi, P. K. (2005). Microeconometrics: Methods and Applications, Cambridge University Press.
Cameron, A. C. and Trivedi, P. K. (2010). Microeconometrics using Stata, Revised Edition, Stata Press.
Cleves, M., Gould, W., Gutierrez, R. G. and Marchenko, Yulia V. (2010). An Introduction to Survival Analysis Using Stata, 3rd Ed., Stata Press.
Lancaster, T. (1990). The Econometric Analysis of Transition Data, Cambridge University Press, New York.
Long, J. S. and Freese, J. (2014). Regression Models for Categorical Dependent Variables Using Stata, 3rd Ed., Stata Press.
Diebold, F. X. (2006). Elements of Forecasting, 4th Ed., South-Western College Pub.
Wooldridge, J. (2010). Econometric Analysis of Cross Section and Panel Data, 2nd Ed., MIT Press.
Verbeek, M. (2012). A Guide to Modern Econometrics, 4th Ed., Wiley.

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You can register by filling this registration form

If you have any questions, please contact Timberlake Consultores -
by email ( ) or by phone: 00351 214240143

Select wanted modules (At least one is mandatory)
Day 1 - Module
Introduction to Stata
Day 2 - Module
Regression Analysis & Causality
Day 3 - Module
Panel Data
Day 4 - Module
Discrete Choice Models
Day 5 - Module
Count Data Models

* Name
* Institution
* Email
* Type Student Academic Non Academic 
Fields with * are mandatory

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Accomodation (some suggestions)

Hotel IBIS S. João**
HF Tuela Porto **

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Timberlake Consultores

Tagus Park - Edifício Núcleo Central - Escritório 481
(2740-122 Oeiras)
Phone: (+351) 21 424 01 43

University of Porto – Faculty of Economics

Rua Dr. Roberto Frias
4200-464 Porto
Phone: (+351) 226153270

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