Econometrics for Ph.D. students: 2 Preliminaries
This video is part of the course Econometrics 2 for Research Master students at Tilburg University. I discuss some preliminaries to bring everybody on the same page. In particular, I talk about the difference between a model and an estimator, explain what identification means and what a Monte Carlo study is, and we briefly review Maximum Likelihood estimation.

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Econometrics for Ph.D. students: 3 Binary choice

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

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

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Linear mixed effects models

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Econometrics for Ph.D. students: 5 Ordered choice

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Econometrics for Ph.D. students: 1 Introduction

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

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Master | Econometrics | University of Amsterdam

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