Nicolas Apfel
Personal Details
| First Name: | Nicolas |
| Middle Name: | |
| Last Name: | Apfel |
| Suffix: | |
| RePEc Short-ID: | pap93 |
| [This author has chosen not to make the email address public] | |
Affiliation
Fakultät für Volkswirtschaft und Statistik
Leopold-Franzens-Universität Innsbruck
Innsbruck, Austriahttp://www.uibk.ac.at/fakultaeten/volkswirtschaft_und_statistik/
RePEc:edi:wuibkat (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Nicolas Apfel & Holger Breinlich & Nick Green & Dennis Novy & J. M. C. Santos Silva & Tom Zylkin, 2025. "Out-of-sample gravity predictions and trade policy counterfactuals," Papers 2509.11271, arXiv.org, revised Sep 2025.
- Nicolas Apfel & Julia Hatamyar & Martin Huber & Jannis Kueck, 2024. "Learning control variables and instruments for causal analysis in observational data," Papers 2407.04448, arXiv.org, revised Sep 2025.
- Nicolas Apfel & Frank Windmeijer, 2022. "The Falsification Adaptive Set in Linear Models with Instrumental Variables that Violate the Exclusion or Conditional Exogeneity Restriction," Papers 2212.04814, arXiv.org, revised Apr 2024.
- Nicolas Apfel & Helmut Farbmacher & Rebecca Groh & Martin Huber & Henrika Langen, 2022. "Detecting Grouped Local Average Treatment Effects and Selecting True Instruments," Papers 2207.04481, arXiv.org, revised Oct 2023.
- Nicolas Apfel, 2019. "Relaxing the Exclusion Restriction in Shift-Share Instrumental Variable Estimation," Papers 1907.00222, arXiv.org, revised Jul 2022.
Articles
- Nicolas Apfel & Xiaoran Liang, 2024. "Agglomerative hierarchical clustering for selecting valid instrumental variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1201-1219, November.
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
- Nicolas Apfel & Julia Hatamyar & Martin Huber & Jannis Kueck, 2024.
"Learning control variables and instruments for causal analysis in observational data,"
Papers
2407.04448, arXiv.org, revised Sep 2025.
Cited by:
- Gregor Steiner & Mark Steel, 2025. "Bayesian Model Averaging in Causal Instrumental Variable Models," Papers 2504.13520, arXiv.org, revised Sep 2025.
- Nicolas Apfel & Helmut Farbmacher & Rebecca Groh & Martin Huber & Henrika Langen, 2022.
"Detecting Grouped Local Average Treatment Effects and Selecting True Instruments,"
Papers
2207.04481, arXiv.org, revised Oct 2023.
Cited by:
- Nicolas Apfel & Julia Hatamyar & Martin Huber & Jannis Kueck, 2024. "Learning control variables and instruments for causal analysis in observational data," Papers 2407.04448, arXiv.org, revised Sep 2025.
- Nicolas Apfel, 2019.
"Relaxing the Exclusion Restriction in Shift-Share Instrumental Variable Estimation,"
Papers
1907.00222, arXiv.org, revised Jul 2022.
Cited by:
- David Klenert & Enrique Fernández-MacÃas & José-Ignacio Antón, 2023.
"Do robots really destroy jobs? Evidence from Europe,"
Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 44(1), pages 280-316, February.
- David Klenert & Enrique Fernandez-Macias & Jose-Ignacio Anton, 2020. "Do robots really destroy jobs? Evidence from Europe," JRC Working Papers on Labour, Education and Technology 2020-01, Joint Research Centre.
- David Klenert & Enrique Fernández-MacÃas & José-Ignacio Antón, 2023.
"Do robots really destroy jobs? Evidence from Europe,"
Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 44(1), pages 280-316, February.
Articles
- Nicolas Apfel & Xiaoran Liang, 2024.
"Agglomerative hierarchical clustering for selecting valid instrumental variables,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1201-1219, November.
Cited by:
- Gregor Steiner & Mark Steel, 2025. "Bayesian Model Averaging in Causal Instrumental Variable Models," Papers 2504.13520, arXiv.org, revised Sep 2025.
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 5 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.- NEP-ECM: Econometrics (4) 2019-07-22 2022-08-22 2023-01-09 2024-07-29. Author is listed
- NEP-BIG: Big Data (1) 2025-09-29
- NEP-CMP: Computational Economics (1) 2024-07-29
- NEP-FOR: Forecasting (1) 2025-09-29
- NEP-INT: International Trade (1) 2025-09-29
- NEP-URE: Urban and Real Estate Economics (1) 2019-07-22
Corrections
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