Claim up to $500 in flight credits!
Get up to $500 in flight credits or grants toward study or internship programs abroad when you apply by January 01, 2025. See our Official Rules for full details.
Advanced Statistical Methods
History, Politics & International Studies Program
Madrid, Spain
Dates: 1/19/23 - 6/3/23
Advanced Statistical Methods
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Mathematics
Instruction in: English
Course Code: 16644
Transcript Source: Partner Institution
Course Details: Level 400
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: Statistics for Social Sciences I: Introduction to Statistics, Statistics for Social Sciences II: Multivariate Techniques
DESCRIPTION
1. Introduction
2. Survey sampling
2.1. Survey techniques
2.2. Estimation of socio-economic indicators based on survey data
3. Panel data analysis: models with fixed effects
3.1. Model fitting and prediction
3.2. Analysis of socio-economic indicators based on panel data
4. Panel data analysis: models with random effects
4.1. Model fitting and prediction
4.2. Estimation of socio-economic indicators based on panel data
5. Heterocedasticity and serial correlation in panel data.
5.1. Models with heteroscedasticity
5.2. Models with serial correlation
6. Evaluation of the effects of public interventions
6.1. Modeling the effects of public interventions
6.2. Causality
2. Survey sampling
2.1. Survey techniques
2.2. Estimation of socio-economic indicators based on survey data
3. Panel data analysis: models with fixed effects
3.1. Model fitting and prediction
3.2. Analysis of socio-economic indicators based on panel data
4. Panel data analysis: models with random effects
4.1. Model fitting and prediction
4.2. Estimation of socio-economic indicators based on panel data
5. Heterocedasticity and serial correlation in panel data.
5.1. Models with heteroscedasticity
5.2. Models with serial correlation
6. Evaluation of the effects of public interventions
6.1. Modeling the effects of public interventions
6.2. Causality