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Agoston Reguly

Personal Details

First Name:Agoston
Middle Name:
Last Name:Reguly
Suffix:
RePEc Short-ID:pre688
[This author has chosen not to make the email address public]
https://regulyagoston.github.io/

Affiliation

(10%) Scheller College of Business
Georgia Institute of Technology

Atlanta, Georgia (United States)
http://scheller.gatech.edu/
RePEc:edi:cmgatus (more details at EDIRC)

(90%) Közgazdaságtan Intézet
Budapesti Corvinus Egyetem

Budapest, Hungary
https://www.uni-corvinus.hu/fooldal/egyetemunkrol/intezetek/kozgazdasagtan-intezet/
RePEc:edi:bkeeehu (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Felix Chan & Laszlo Matyas & Agoston Reguly, 2024. "Modelling with Discretized Variables," Papers 2403.15220, arXiv.org.
  2. 'Agoston Reguly, 2021. "Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers 2106.11640, arXiv.org, revised Oct 2021.
  3. Felix Chan & Ágoston Reguly & László Mátyás, 2019. "Modelling with Discretized Ordered Choice Covariates," CEU Working Papers 2019_2, Department of Economics, Central European University.

Articles

  1. Katalin Martinas & Agoston Reguly, 2013. "Reappraisal of Rational Choice Theory," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(1), pages 14-28.

Chapters

  1. Felix Chan & László Mátyás & Ágoston Reguly, 2024. "When and How Much Do Fixed Effects Matter?," Advanced Studies in Theoretical and Applied Econometrics, in: Laszlo Matyas (ed.), The Econometrics of Multi-dimensional Panels, edition 2, chapter 0, pages 39-60, Springer.
  2. Robert P. Lieli & Yu-Chin Hsu & Ágoston Reguly, 2022. "The Use of Machine Learning in Treatment Effect Estimation," Advanced Studies in Theoretical and Applied Econometrics, in: Felix Chan & László Mátyás (ed.), Econometrics with Machine Learning, chapter 0, pages 79-109, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. 'Agoston Reguly, 2021. "Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers 2106.11640, arXiv.org, revised Oct 2021.

    Cited by:

    1. Matias D. Cattaneo & Luke Keele & Rocio Titiunik, 2021. "Covariate Adjustment in Regression Discontinuity Designs," Papers 2110.08410, arXiv.org, revised Aug 2022.

Articles

    Sorry, no citations of articles recorded.

Chapters

  1. Robert P. Lieli & Yu-Chin Hsu & Ágoston Reguly, 2022. "The Use of Machine Learning in Treatment Effect Estimation," Advanced Studies in Theoretical and Applied Econometrics, in: Felix Chan & László Mátyás (ed.), Econometrics with Machine Learning, chapter 0, pages 79-109, Springer.

    Cited by:

    1. Martin Huber, 2024. "An Introduction to Causal Discovery," Papers 2407.08602, arXiv.org.
    2. Yoganathan, Vignesh & Osburg, Victoria-Sophie, 2024. "The mind in the machine: Estimating mind perception's effect on user satisfaction with voice-based conversational agents," Journal of Business Research, Elsevier, vol. 175(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (3) 2019-05-13 2021-07-19 2024-04-29
  2. NEP-BIG: Big Data (1) 2021-07-19
  3. NEP-UPT: Utility Models and Prospect Theory (1) 2019-05-13

Corrections

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