Empirical Methods in Applied Economics

1. Linear regression analysis 1.1 Outline of linear regression model 1.2 Statistical test of estimation results 1.3 Multicollinearity 1.4 Basic technique of regression analysis 1.4.1 Qualitative data 1.4.2 Transformation of variables 1.4.3 Interaction effect 1.5 Spurious regression in time-series data 1.5.1 Spurious regression 1.5.2 Unit root test 1.5.3 Cointegration 1.5.4 Independence of residuals 1.6 Heteroscedasticity 1.7 Endogeneity 1.8 Cluster data 1.8.1 Panel data analysis 1.8.2 Hierarchical Linear Regression 1.9 Other notes 1.9.1 Other notes on residuals 1.9.2 Variable selection 1.10 Regularized regression 2. Non-linear regression analysis 2.1 Maximum likelihood estimation 2.2 Random utility model 2.2.1 Models based on utility functions 2.2.2 Variation of models (1) Conditional logit (2) Multinomial logit (3) Incorporation of demographic attributes (4) Nested logit (5) Ordered logit (6) Mixed logit (7) Summary 2.3 Generalized linear regression (GLM) 2.3.1 Poison regression 2.3.2 Logistic regression 2.4 Kernel regression 3. Bayesian regression 3.1 Bayes' theorem and analytical solution 3.2 Numerical solution 3.3 Gaussian Process Regression 4. Causality 4.1 Spurious correlation 4.2 What is causality? 4.3 Methods for verifying causality 4.3.1 Randomized controlled trial 4.3.2 Quasi-experiment 4.3.3 Difference-in-difference 4.3.4 Propensity score matching 4.4Granger causality

A textbook will be provided on UTOL. The first half of the class will be a lecture based on the textbook. In the second half of the class you will do statistical exercises based on the lecture of the day. The answer is due within one week. The original textbook will be made available via UTOL from April 1 onwards. -> The textbook is scheduled to be uploaded by April 5. (Revised on March 31)

Participation Report

A textbook will be provided on UTOL. The first half of the class will be a lecture based on the textbook. In the second half of the class you will do statistical exercises based on the lecture of the day. The answer is due within one week.