youtube-economist

Inaugural speech on how individuals make choices in the health context

Wooldridge Econometrics for Economics BSc students Ch. 5: OLS Asymptotics

Wooldridge Econometrics for Economics BSc students Ch. 4: Inference

Wooldridge Econometrics for Economics BSc students Ch. 3: Multiple Regression Analysis: Estimation

Wooldridge Econometrics for Economics BSc students Ch. 2: The Simple Regression Model

Wooldridge Econometrics for Economics BSc students Ch. 1: Nature of Econometrics and Economic Data

Data Science Research Methods: Regression discontinuity design

Data Science Research Methods: Differences-in-differences estimation

Data Science Research Methods: Selection on observables and matching

Data Science Research Methods: Causality and selection

Econometrics for data scientists

Econometrics for Ph.D. students: 8 Censoring and truncation

Econometrics for Ph.D. students: 7 Generalisations to the multinomial logit model

Econometrics for Ph.D. students: 6 Multinomial choice and the multinomial logit model

Econometrics for Ph.D. students: 5 Ordered choice

Econometrics for Ph.D. students: 4 Binary choice models, more generally

Econometrics for Ph.D. students: 3 Binary choice

Econometrics for Ph.D. students: 2 Preliminaries

Econometrics for Ph.D. students: 1 Introduction

Empirical IO: Two-Stage Estimation of Dynamic Games

Wooldridge Econometrics for Economics BSc students Ch. 15/16: Instrumental variables estimation

Wooldridge Econometrics for Economics BSc students Ch. 12: Serial corr. and heterosk. in time series

Empirical IO: Dynamic Discrete Choice and Dynamic Demand

Wooldridge Econometrics for Economics BSc students Ch. 8: Heteroskedasticity

Wooldridge Econometrics for Economics BSc students Ch. 10: Regression Analysis with Time Series Data

Empirical IO: Search

first steps in OBS for teaching

introduction: how to take nicer videos for teaching