Work in Progress
Treatment Effects for Discrete Misreported Outcomes (under Endogeneity) (with Daniel Gutknecht and Giovanni Mellace)
Working Papers
Testing identification in mediation and dynamic treatment models (with Martin Huber and Kevin Kloiber, arXiv:2406.13826, slides)
Mothers' Job Search after Childbirth and Earnings (with Bernhard Schmidpeter, 8/2022 version)
Choosing the right workplace experience - A dynamic evaluation of three activation programmes for young job seekers in Slovakia (with Miroslav Štefánik)
Locking-in or Pushing-out: The Caseworker Dilemma (with Miroslav Štefánik, slides, IER WP)
Afraid of Automation? Choose your Training Carefully (with Zuzana Koštálová, Miroslav Štefánik, IER WP)
Identification of the average treatment effect when SUTVA is violated (with Giovanni Mellace, SDU discussion paper 3/2020)
Publications
Double machine learning for sample selection models (with Michela Bia and Martin Huber, Journal of Business & Economic Statistics, 2024, 42, (3), 958-969, previous WP arXiv:2012.00745, presentation: UCL by MH, implemented in R - causalweight package or in Python in DoubleML by Michaela Kecskésová)
Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition (with Martin Huber, Econometric Reviews, 2022, 41 (10), 1141—1163, previous WP arXiv:2002.05253, presentation: EEA 2020)
Evaluating (weighted) dynamic treatment effects by double machine learning (Econometrics Journal, 2022, 25 (3), 628—648, with Hugo Bodory and Martin Huber, implemented in R - causalweight package)
Causal mediation analysis with double machine learning (Econometrics Journal, 2022, 25 (2), 277—300, with Helmut Farbmacher, Martin Huber, Henrika Langen and Martin Spindler, May 2022 Editor’s choice article, presentations: MonashU, ESWC 2020 by MH, implemented in R - causalweight package)
Sensitivity of Bounds on ATEs under Survey Non-response (forthcoming in Econometrics and Statistics, with Roman Nedela)
The Impact of Repeated Mass Antigen Testing for COVID-19 on the Prevalence of the Disease (Journal of Population Economics, 2021, 34, 1105—1040, with Martin Kahanec and Bernhard Schmidpeter, media coverage: Denník N)
Early Child Development and Parents’ Labor Supply (Journal of Applied Econometrics, 2021, 36, (2), 190-208, IZA discussion paper 13531 with Bernhard Schmidpeter)
Bounding Average Treatment Effects using Linear Programming (Empirical Economics, 2019, 57, (3), 727-767, view-only link, based on chapter 3 here, previous version Cemmap CWP70/15, MATLAB code)
Identification in Models with Discrete Variables (Computational Economics, 2019, 53, (2), 657-698, view-only link, based on chapter 1 here, previous version NHH discussion paper 01/2013)
Sharp IV Bounds on Average Treatment Effects on the Treated and other Populations under Endogeneity and Noncompliance (Journal of Applied Econometrics, 2017, 32, (1), 56-79, with Martin Huber and Giovanni Mellace, appendix, MATLAB code, “Economicus” prize awarded (VÚB foundation))
Sensitivity of the Bounds on the ATE in the Presence of Sample Selection (Economics Letters, 2017, 158, 84-87, with Roman Nedela, MATLAB code)
A Note on Testing Instrument Validity for the Identification of LATE (Empirical Economics, 2017, 53, (3), 1281–1286, with Giovanni Mellace, view-only link, WP version: pdf)
A Note on Bounding Average Treatment Effects (Economics Letters, 2013, 120, (3), 424-428, MATLAB code)
Research Interests
Econometrics
Partial Identification
Causal Inference
Labor Economics
Grants
VEGA 1/0398/23 — Causality and machine learning in econometric models (principal investigator, 2023—ongoing)
APVV-21-0360 — Applying machine learning methods to support labour market policy making (2022—ongoing)
COST-CA21163 — Text, functional and other high-dimensional data in econometrics: New models, methods, applications (member of MC for Slovakia)
VEGA 1/0692/20 — Sensitivity analysis in econometric models (principal investigator, project chosen among those that achieved high significance. 2020—2022)
APVV-17-0329 — Generating scientific information to support labour market policy making (received rating: Excellent, 2017—2021)
VEGA 1/0843/17 - Econometric methods for identification of average treatment effects (principal investigator, project chosen among those that achieved high significance. 2017—2019)
Theses
doc. Essays in econometrics of model uncertainty (2024, MUNI)
PhD. Essays in Partial Identification (2014, NHH)
Mgr. Empirical likelihood estimation of interest rate diffusion model (2009, UK)
Refereeing
Journal of Econometrics, Journal of the Royal Statistical Society: Series C (Applied Statistics), Oxford Bulletin of Economics and Statistics, Biometrics, Journal of Human Resources, Empirical Economics, Advances in Statistical Analysis, Journal of Econometric Methods, European Journal of Operations Research, Journal of Environmental Economics and Management, Research in Statistics
Social Policy Insitute, Institute for Healthcare Analyses, VEGA grant scheme, Riksbankens jubileumsfond
Refereeing
Journal of Econometrics, Journal of the Royal Statistical Society: Series C (Applied Statistics), Oxford Bulletin of Economics and Statistics, Biometrics, Journal of Human Resources, Empirical Economics, Advances in Statistical Analysis, Journal of Econometric Methods, European Journal of Operations Research, Journal of Environmental Economics and Management, Research in Statistics
Social Policy Insitute, Institute for Healthcare Analyses, VEGA grant scheme, Riksbankens jubileumsfond