CEU Electronic Theses and Dissertations, 2022
| Author | Reguly Ágoston |
|---|---|
| Title | Three Essays on Econometrics |
| Summary | The thesis consists of three chapters: the first, single-authored chapter proposes a supervised machine learning algorithm to discover heterogeneous treatment effects in regression discontinuity designs. The second and third chapter, co-authored with László Mátyás and Felix Chan proposes a new data gathering method, which allows the identification and consistent estimation of parameters in the linear regression model when variables are observed through a discretization process. The second chapter discusses the so-called split sampling data gathering method in detail and investigates the properties of the least-squares estimator when the discretized variable is on the right-hand side. Chapter 3 discusses the identification and estimation when the discretized variable is on the left-hand side. |
| Supervisor | Lieli Róbert, Mátyás László |
| Department | Economics PhD |
| Full text | https://www.etd.ceu.edu/2022/reguly_agoston.pdf |
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