Microeconometrics using STATA 7,5 Credits

Course Contents

The course will provide an up-to-date overview on the most commonly used microeconometric
methods, e.g., propensity matching, instrumental variables methods, panel data methods including
dynamic models, simulation, bootstrapping inference, quantile regression techniques and non-linear
models for binary, multinomial or count outcomes.
The contents of this course include
(i) Regression basics
(ii) Simulation basics
(iii) Experimental versus non-experimental data
(iv) STATA basics including introduction to STATA programming
(v) Linear (dynamic) panel data models including diff-in-diff methods
(vi) Bootstrapping inference
(vii) Regession discontinuity designs
(viii) Quantile regression methods
(ix) Non-linear (panel) models

Prerequisites

Admitted to a doctoral programme in Economics or a related subject of a recognized business school
or university. Basic courses in Statistics, introductory course in Econometrics/Quantitative Methods is
recommended, but not required

Level of Education: XXX
Course code/Ladok code: FJMST37
The course is conducted at: Jönköping International Business School