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Martin Huber

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Huber, Martin & Lechner, Michael & Wunsch, Conny & Walter, Thomas, 2009. "Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work?," IZA Discussion Papers 4090, Institute of Labor Economics (IZA).

    Mentioned in:

    1. Welfare-to-work programs work, sort of
      by Economic Logician in Economic Logic on 2009-04-27 19:00:00

Working papers

  1. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.

    Cited by:

    1. von Zahn, Moritz & Bauer, Kevin & Mihale-Wilson, Cristina & Jagow, Johanna & Speicher, Max & Hinz, Oliver, 2022. "The smart green nudge: Reducing product returns through enriched digital footprints & causal machine learning," SAFE Working Paper Series 363, Leibniz Institute for Financial Research SAFE, revised 2022.

  2. Martin Huber & Jonas Meier & Hannes Wallimann, 2021. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Papers 2105.01426, arXiv.org, revised Jun 2022.

    Cited by:

    1. Thommen, Christoph & Hintermann, Beat, 2023. "Price versus Commitment: Managing the demand for off-peak train tickets in a field experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    2. Kevin Blattler & Hannes Wallimann & Widar von Arx, 2024. "Free public transport to the destination: A causal analysis of tourists' travel mode choice," Papers 2401.14945, arXiv.org, revised Feb 2024.
    3. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    4. Zabaleta, Mercedes Elena Martínez & Luna, Raúl Enrique Rodríguez, 2023. "Inteligencia empresarial y su rol en la generación de valor en los procesos de negocios," Revista Tendencias, Universidad de Narino, vol. 24(1), pages 226-251, January.
    5. Hintermann, Beat & Thommen, Christoph, 2022. "Price versus Commitment: Managing the Demand for Off-peak Train Tickets in a Field Experiment," Working papers 2022/05, Faculty of Business and Economics - University of Basel.
    6. Hannes Wallimann & Kevin Blattler & Widar von Arx, 2021. "Do price reductions attract customers in urban public transport? A synthetic control approach," Papers 2111.14613, arXiv.org, revised Mar 2022.
    7. Hannes Wallimann, 2024. "Austria's KlimaTicket: Assessing the short-term impact of a cheap nationwide travel pass on demand," Papers 2401.06835, arXiv.org, revised Feb 2024.

  3. Huber, Martin & Imhof, David, 2020. "Transnational machine learning with screens for flagging bid-rigging cartels," FSES Working Papers 519, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Hannes Wallimann & David Imhof & Martin Huber, 2023. "A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1669-1720, December.
    2. Hannes Wallimann & Silvio Sticher, 2023. "On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement," Papers 2304.11888, arXiv.org.
    3. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-7, University of Alberta, Department of Economics.
    4. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
    5. Silveira, Douglas & de Moraes, Lucas B. & Fiuza, Eduardo P.S. & Cajueiro, Daniel O., 2023. "Who are you? Cartel detection using unlabeled data," International Journal of Industrial Organization, Elsevier, vol. 88(C).

  4. Ana Fernandes & Martin Huber & Giannina Vaccaro, 2020. "Gender Differences in Wage Expectations," Papers 2003.11496, arXiv.org.

    Cited by:

    1. Sarah Deschênes & Christelle Dumas & Sylvie Lambert, 2020. "Household resources and individual strategies," PSE-Ecole d'économie de Paris (Postprint) hal-02959962, HAL.
    2. Maria A. Cattaneo, 2022. "What wages do people expect for vocational and academic education backgrounds in Switzerland?," Economics of Education Working Paper Series 0197, University of Zurich, Department of Business Administration (IBW).
    3. Osikominu, Aderonke & Briel, Stephanie & Pfeifer, Gregor & Reutter, Mirjam & Satlukal, Sascha, 2021. "Gender Differences in Wage Expectations: The Role of Biased Beliefs," CEPR Discussion Papers 15093, C.E.P.R. Discussion Papers.
    4. Lukas Kiessling & Pia Pinger & Philipp Seegers & Jan Bergerhoff, 2024. "Gender Differences in Wage Expectations and Negotiation," CRC TR 224 Discussion Paper Series crctr224_2024_496, University of Bonn and University of Mannheim, Germany.
    5. Joaquim Silva & Ana Carvalho, 2021. "The Work Values of Portuguese Generation Z in the Higher Education-to-Work Transition Phase," Social Sciences, MDPI, vol. 10(8), pages 1-16, August.
    6. Lukas Kiessling & Pia Pinger & Philipp Seegers & Jan Bergerhoff, 2023. "Gender Differences in Wage Expectations and Negotiation," ECONtribute Discussion Papers Series 268, University of Bonn and University of Cologne, Germany.
    7. Lukas Kiessling & Pia Pinger & Philipp Seegers & Jan Bergerhoff, 2023. "Gender Differences in Wage Expectations and Negotiation," CESifo Working Paper Series 10838, CESifo.
    8. Fröberg, Emelie & Säve-Söderbergh, Jenny & Wahlund, Richard & Wiley Wakeman, S., 2023. "The promise (and peril) in approaching gender parity: Preregistered survey experiments addressing gender inequality in negotiations," Labour Economics, Elsevier, vol. 83(C).

  5. Helmut Farbmacher & Martin Huber & Luk'av{s} Laff'ers & Henrika Langen & Martin Spindler, 2020. "Causal mediation analysis with double machine learning," Papers 2002.12710, arXiv.org, revised Feb 2021.

    Cited by:

    1. AmirEmad Ghassami & Andrew Ying & Ilya Shpitser & Eric Tchetgen Tchetgen, 2021. "Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference," Papers 2104.02929, arXiv.org, revised Mar 2022.
    2. Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
    3. Hugo Bodory & Martin Huber & Lukáš Lafférs, 2022. "Evaluating (weighted) dynamic treatment effects by double machine learning [Identification of causal effects using instrumental variables]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 628-648.
    4. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org.
    5. Rahul Singh & Liyuan Xu & Arthur Gretton, 2020. "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves," Papers 2010.04855, arXiv.org, revised Oct 2022.
    6. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
    7. Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2018. "Automatic Debiased Machine Learning of Causal and Structural Effects," Papers 1809.05224, arXiv.org, revised Oct 2022.
    8. Xinyu Wei & Mingwang Cheng & Kaifeng Duan & Xiangxing Kong, 2024. "Effects of Big Data on PM 2.5 : A Study Based on Double Machine Learning," Land, MDPI, vol. 13(3), pages 1-21, March.
    9. Rahul Singh & Liyuan Xu & Arthur Gretton, 2021. "Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves," Papers 2111.03950, arXiv.org, revised Jul 2023.

  6. Hugo Bodory & Martin Huber & Luk'av{s} Laff'ers, 2020. "Evaluating (weighted) dynamic treatment effects by double machine learning," Papers 2012.00370, arXiv.org, revised Jun 2021.

    Cited by:

    1. Oyenubi, Adeola & Kollamparambil, Umakrishnan, 2023. "Does noncompliance with COVID-19 regulations impact the depressive symptoms of others?," Economic Modelling, Elsevier, vol. 120(C).
    2. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.

  7. Daria Loginova & Marco Portmann & Martin Huber, 2020. "Assessing the effects of seasonal tariff-rate quotas on vegetable prices in Switzerland," Papers 2012.02966, arXiv.org.

    Cited by:

    1. Youzhu Li & Jinsi Liu & Hongyu Yang & Jianxin Chen & Jason Xiong, 2021. "A Bibliometric Analysis of Literature on Vegetable Prices at Domestic and International Markets—A Knowledge Graph Approach," Agriculture, MDPI, vol. 11(10), pages 1-17, September.
    2. Daria Loginova & Stefan Mann, 2022. "Institutional contributions to agricultural producer price stability," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-22, December.
    3. Omid Zamani & Craig Chibanda & Janine Pelikan, 2023. "Unraveling the effects of import bans on domestic poultry production: a case study of Senegal," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-25, December.
    4. Youzhu Li & Miao Zhang & Jinsi Liu & Bingbing Su & Xinzhu Lin & Yuxuan Liang & Yize Bao & Shanshan Yang & Junjie Zhang, 2022. "Research on the Disturbance Sources of Vegetable Price Fluctuation Based on Grounded Theory and LDA Topic Model," Agriculture, MDPI, vol. 12(5), pages 1-14, April.
    5. Santeramo, Fabio Gaetano & Martinez-Gomez, Victor & Márquez-Ramos, Laura & Lamonaca, Emilia, 2019. "The import effects of the Entry Price System," MPRA Paper 113446, University Library of Munich, Germany.
    6. Loginova, Daria, 2022. "Assessing the Short-term Effect of Exchange Rate Liberalisation on Food Import Prices: The Regression Discontinuity in Time Employed for Russian Food Markets in 2014," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 3(3), September.
    7. Herz, Holger & Kistler, Deborah & Zehnder, Christian & Zihlmann, Christian, 2022. "Hindsight Bias and Trust in Government: Evidence from the United States," FSES Working Papers 526, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    8. Daria Loginova & Stefan Mann, 2023. "Measuring stability and structural breaks: Applications in social sciences," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 302-320, April.

  8. Martin Huber & Luk'av{s} Laff'ers, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," Papers 2002.05253, arXiv.org, revised May 2020.

    Cited by:

    1. Daniel Kaliski, 2023. "Identifying the impact of health insurance on subgroups with changing rates of diagnosis," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2098-2112, September.

  9. Hannes Wallimann & David Imhof & Martin Huber, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," Papers 2004.05629, arXiv.org.

    Cited by:

    1. Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022. "Won’t Get Fooled Again: A supervised machine learning approach for screening gasoline cartels," Energy Economics, Elsevier, vol. 105(C).
    2. Hannes Wallimann & David Imhof & Martin Huber, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," Papers 2004.05629, arXiv.org.
    3. Sarah Deschênes & Christelle Dumas & Sylvie Lambert, 2020. "Household resources and individual strategies," PSE-Ecole d'économie de Paris (Postprint) hal-02959962, HAL.
    4. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
    5. David Imhof & Hannes Wallimann, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," Papers 2105.00337, arXiv.org.

  10. Martin Huber & Mark Schelker & Anthony Strittmatter, 2019. "Direct and Indirect Effects based on Changes-in-Changes," Papers 1909.04981, arXiv.org, revised Oct 2019.

    Cited by:

    1. Hannes Wallimann & David Imhof & Martin Huber, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," Papers 2004.05629, arXiv.org.
    2. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    3. Masayuki Sawada, 2019. "Noncompliance in randomized control trials without exclusion restrictions," Papers 1910.03204, arXiv.org, revised Jun 2021.

  11. Huber, Martin & Steinmayr, Andreas, 2019. "A Framework for Separating Individual-Level Treatment Effects From Spillover Effects," Munich Reprints in Economics 78220, University of Munich, Department of Economics.

    Cited by:

    1. Lafférs, Lukáš & Mellace, Giovanni, 2020. "Identification of the average treatment effect when SUTVA is violated," Discussion Papers on Economics 3/2020, University of Southern Denmark, Department of Economics.
    2. Hoang, Thoa & Noy, Ilan, 2023. "The income consequences of a managed retreat," Regional Science and Urban Economics, Elsevier, vol. 100(C).
    3. Di Iasio, Valentina & Wahba, Jackline, 2023. "Expecting Brexit and UK Migration: Should I Go?," IZA Discussion Papers 16156, Institute of Labor Economics (IZA).
    4. Roulleau-Pasdeloup, Jordan, 2020. "A Puncher’s chance: Expected gain and risk taking in a market for superstars," Labour Economics, Elsevier, vol. 66(C).
    5. Ulrike Unterhofer & Conny Wunsch, 2022. "Macroeconomic Effects of Active Labour Market Policies: A Novel Instrumental Variables Approach," Papers 2211.12437, arXiv.org.
    6. Spagnolo, Giancarlo & Lotti, Clarissa & Muco, Arieda & Valletti, Tommaso, 2022. "Indirect Savings from Public Procurement Centralization," CEPR Discussion Papers 17019, C.E.P.R. Discussion Papers.
    7. Mate Kormos & Robert P. Lieli & Martin Huber, 2023. "Treatment Effect Analysis for Pairs with Endogenous Treatment Takeup," Papers 2301.04876, arXiv.org.
    8. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    9. Stefano, Roberta di & Mellace, Giovanni, 2020. "The inclusive synthetic control method," Discussion Papers on Economics 14/2020, University of Southern Denmark, Department of Economics.
    10. Maximilian Kasy & Lukas Lehner, 2023. "Employing the Unemployed of Marienthal: Evaluation of a Guaranteed Job Program," CESifo Working Paper Series 10394, CESifo.
    11. Fangting Chi & Haoying Han, 2023. "The Impact of High-Speed Rail on Economic Development: A County-Level Analysis," Land, MDPI, vol. 12(4), pages 1-22, April.
    12. Wang, Lu & Ruan, Hang & Hong, Yanran & Luo, Keyu, 2023. "Detecting the hidden asymmetric relationship between crude oil and the US dollar: A novel neural Granger causality method," Research in International Business and Finance, Elsevier, vol. 64(C).
    13. Jonathan Roth & Pedro H. C. Sant'Anna & Alyssa Bilinski & John Poe, 2022. "What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature," Papers 2201.01194, arXiv.org, revised Jan 2023.
    14. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    15. Mäkinen, Taneli & Li, Fan & Mercatanti, Andrea & Silvestrini, Andrea, 2022. "Causal analysis of central bank holdings of corporate bonds under interference," Economic Modelling, Elsevier, vol. 113(C).
    16. Ryan Greenaway-McGrevy & Peter C. B. Phillips, 2022. "The Impact of Upzoning on Housing Construction in Auckland," Cowles Foundation Discussion Papers 2330, Cowles Foundation for Research in Economics, Yale University.
    17. Giulio Grossi & Marco Mariani & Alessandra Mattei & Patrizia Lattarulo & Ozge Oner, 2020. "Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach," Papers 2004.05027, arXiv.org, revised Nov 2023.

  12. Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.

    Cited by:

    1. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Selina Gangl, 2021. "Do soda taxes affect the consumption and health of school-aged children? Evidence from France and Hungary," Papers 2111.14521, arXiv.org.
    3. Gangl, Selina, 2021. "Do soda taxes affect the consumption and health of school-aged children? Evidence from France and Hungary," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224577, Verein für Socialpolitik / German Economic Association, revised 2021.
    4. Daria Loginova & Stefan Mann, 2023. "Measuring stability and structural breaks: Applications in social sciences," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 302-320, April.

  13. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.

    Cited by:

    1. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Holger Herz & Deborah Kistler & Christian Zehnder & Christian Zihlmann, 2022. "Hindsight Bias and Trust in Government," CESifo Working Paper Series 9767, CESifo.
    3. Berno Buechel & Selina Gangl & Martin Huber, 2021. "How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein," Papers 2105.11840, arXiv.org.
    4. Jan Priebe, 2020. "Quasi-experimental evidence for the causal link between fertility and subjective well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 839-882, July.
    5. Herz, Holger & Kistler, Deborah & Zehnder, Christian & Zihlmann, Christian, 2022. "Hindsight Bias and Trust in Government: Evidence from the United States," FSES Working Papers 526, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    6. Öberg, Stefan, 2021. "Treatment for natural experiments: How to improve causal estimates using conceptual definitions and substantive interpretations," SocArXiv pkyue, Center for Open Science.

  14. Huber, Martin, 2019. "A review of causal mediation analysis for assessing direct and indirect treatment effects," FSES Working Papers 500, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Sajid, Osama & Bevis, Leah E.M., 2021. "Flooding and child health: Evidence from Pakistan," World Development, Elsevier, vol. 146(C).
    3. Alfonso Flores-Lagunes & Amin Vikesh & Carlos A. Flores, 2019. "The Impact of BMI on Mental Health: Further Evidence from Genetic Markers," Center for Policy Research Working Papers 216, Center for Policy Research, Maxwell School, Syracuse University.
    4. Bonsang, Eric & Costa-Font, Joan, 2022. "Buying control? ‘Locus of control’ and the uptake of supplementary health insurance," LSE Research Online Documents on Economics 117144, London School of Economics and Political Science, LSE Library.
    5. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
    6. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    7. Caterina Giannetti & Pietro Guarnieri & Tommaso Luzzati, 2021. "Pro-environmental attitude and behaviours: an investigation on the role of pro-sociality," Discussion Papers 2021/269, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    8. Eva Six & Matthias Schnetzer, 2022. "Highbrow heritage: the effects of early childhood cultural capital on wealth," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 240, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    9. Andrew McKendrick & Ian Walker, 2020. "The Roles of Faith and Faith Schooling in Educational, Economic, and Faith Outcomes," Working Papers 302455074, Lancaster University Management School, Economics Department.
    10. Marco Doretti & Martina Raggi & Elena Stanghellini, 2022. "Exact parametric causal mediation analysis for a binary outcome with a binary mediator," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 87-108, March.
    11. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    12. Bevis, Leah & Kim, Kichan & Guerena, David, 2023. "Soil zinc deficiency and child stunting: Evidence from Nepal," Journal of Health Economics, Elsevier, vol. 87(C).

  15. Bodory, Hugo & Huber, Martin, 2018. "The causalweight package for causal inference in R," FSES Working Papers 493, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin & Solovyeva, Anna, 2018. "Direct and indirect effects under sample selection and outcome attrition," FSES Working Papers 496, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Tymon Sloczynski & Derya Uysal & Jeffrey Wooldridge, 2023. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Rationality and Competition Discussion Paper Series 424, CRC TRR 190 Rationality and Competition.
    3. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.
    4. Berno Buechel & Selina Gangl & Martin Huber, 2021. "How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein," Papers 2105.11840, arXiv.org.
    5. Tymon Sloczynski & S. Derya Uysal & Jeffrey M. Wooldridge & Derya Uysal, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," CESifo Working Paper Series 9715, CESifo.

  16. Huber, Martin & Solovyeva, Anna, 2018. "Direct and indirect effects under sample selection and outcome attrition," FSES Working Papers 496, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin & Solovyeva, Anna, 2018. "On the sensitivity of wage gap decompositions," FSES Working Papers 497, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Huber, Martin & Laffers, Lukáš, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," FSES Working Papers 514, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

  17. Eckhoff Andresen, Martin & Huber, Martin, 2018. "Instrument-based estimation with binarized treatments: Issues and tests for the exclusion restriction," FSES Working Papers 492, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Nadja van 't Hoff, 2023. "Identifying Causal Effects of Nonbinary, Ordered Treatments using Multiple Instrumental Variables," Papers 2311.17575, arXiv.org.
    2. Baltagi, Badi H. & Flores-Lagunes, Alfonso & Karatas, Haci M., 2022. "The Effect of Higher Education on Women's Obesity and Smoking: Evidence from College Openings in Turkey," IZA Discussion Papers 15297, Institute of Labor Economics (IZA).
    3. Kyunghoon Ban & D'esir'e K'edagni, 2021. "Nonparametric Bounds on Treatment Effects with Imperfect Instruments," Papers 2109.14785, arXiv.org.
    4. Didier Nibbering & Matthijs Oosterveen, 2023. "Instrument-based estimation of full treatment effects with movers," Papers 2306.07018, arXiv.org.
    5. Tymon Sloczynski & Derya Uysal & Jeffrey Wooldridge, 2023. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Rationality and Competition Discussion Paper Series 424, CRC TRR 190 Rationality and Competition.
    6. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    7. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
    8. Martin Eckhoff Andresen & Sturla A. Løkken, 2019. "High school dropout for marginal students. Evidence from randomized exam form," Discussion Papers 894, Statistics Norway, Research Department.
    9. Joppe de Ree & Matthijs Oosterveen & Dinand Webbink, 2023. "The quality of school track assignment decisions by teachers," Papers 2304.10636, arXiv.org.
    10. Gerten, Elisa & Beckmann, Michael & Kräkel, Matthias, 2022. "Information and Communication Technology, Hierarchy, and Job Design," IZA Discussion Papers 15491, Institute of Labor Economics (IZA).
    11. Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Papers 2204.07672, arXiv.org, revised Feb 2024.
    12. Phillip Heiler & Michael C. Knaus, 2021. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," Papers 2110.01427, arXiv.org, revised Aug 2023.
    13. Huber, Martin & Imhof, David, 2019. "Machine learning with screens for detecting bid-rigging cartels," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 277-301.
    14. Nibbering, Didier & Oosterveen, Matthijs & Silva, Pedro Luís, 2022. "Clustered Local Average Treatment Effects: Fields of Study and Academic Student Progress," IZA Discussion Papers 15159, Institute of Labor Economics (IZA).
    15. Tymon Sloczynski & S. Derya Uysal & Jeffrey M. Wooldridge & Derya Uysal, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," CESifo Working Paper Series 9715, CESifo.
    16. Evan K. Rose & Yotam Shem-Tov, 2021. "On Recoding Ordered Treatments as Binary Indicators," Papers 2111.12258, arXiv.org, revised Mar 2024.
    17. Christophe Bruneel-Zupanc, 2023. "Don't (fully) exclude me, it's not necessary! Identification with semi-IVs," Papers 2303.12667, arXiv.org, revised Jul 2023.

  18. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Yuya Sasaki & Takuya Ura & Yichong Zhang, 2020. "Unconditional Quantile Regression with High Dimensional Data," Papers 2007.13659, arXiv.org, revised Feb 2022.
    3. Stefan Tübbicke, 2020. "Entropy Balancing for Continuous Treatments," CEPA Discussion Papers 21, Center for Economic Policy Analysis.
    4. Huber, Martin & Solovyeva, Anna, 2018. "Direct and indirect effects under sample selection and outcome attrition," FSES Working Papers 496, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    5. Wei Huang & Oliver Linton & Zheng Zhang, 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Papers 2102.08063, arXiv.org, revised Sep 2021.
    6. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
    8. Numair Sani & Yizhen Xu & AmirEmad Ghassami & Ilya Shpitser, 2021. "Multiply Robust Causal Mediation Analysis with Continuous Treatments," Papers 2105.09254, arXiv.org, revised Feb 2024.
    9. Yu-Chin Hsu & Martin Huber & Ying-Ying Lee & Chu-An Liu, 2021. "Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data," Papers 2106.04237, arXiv.org, revised Aug 2022.
    10. Isaac Meza & Rahul Singh, 2021. "Nested Nonparametric Instrumental Variable Regression: Long Term, Mediated, and Time Varying Treatment Effects," Papers 2112.14249, arXiv.org, revised Mar 2024.

  19. Huber, Martin & Solovyeva, Anna, 2018. "On the sensitivity of wage gap decompositions," FSES Working Papers 497, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Hanewald, Katja & Jia, Ruo & Liu, Zining, 2021. "Why is inequality higher among the old? Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    2. Valentina S. Consiglio & Denisa M. Sologon, 2022. "The Myth of Equal Opportunity in Germany? Wage Inequality and the Role of (Non-)academic Family Background for Differences in Capital Endowments and Returns on the Labour Market," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(2), pages 455-493, January.

  20. Huber, Martin & Imhof, David, 2018. "Machine Learning with Screens for Detecting Bid-Rigging Cartels," FSES Working Papers 494, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022. "Won’t Get Fooled Again: A supervised machine learning approach for screening gasoline cartels," Energy Economics, Elsevier, vol. 105(C).
    2. Martinez-Carrasco, José & ConceiçaÞo, Otavio & Dezolt, Ana Lúcia, 2023. "More Information, Lower Price? Access Market-based Reference Prices and Gains in Public Procurement Efficiency," IDB Publications (Working Papers) 12754, Inter-American Development Bank.
    3. Hannes Wallimann & David Imhof & Martin Huber, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," Papers 2004.05629, arXiv.org.
    4. Max Berre, 2022. "Which Factors Matter Most? Can Startup Valuation be Micro-Targeted?," Papers 2210.14518, arXiv.org.
    5. Frédéric Marty, 2022. "From Economic Evidence to Algorithmic Evidence: Artificial Intelligence and Blockchain: An Application to Anti-competitive Agreements," GREDEG Working Papers 2022-32, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    6. Hannes Wallimann & Silvio Sticher, 2023. "On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement," Papers 2304.11888, arXiv.org.
    7. Dmitry I. Ivanov & Alexander S. Nesterov, 2019. "Stealed-bid Auctions: Detecting Bid Leakage via Semi-Supervised Learning," Papers 1903.00261, arXiv.org, revised Nov 2020.
    8. Huber, Martin & Imhof, David, 2020. "Transnational machine learning with screens for flagging bid-rigging cartels," FSES Working Papers 519, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    9. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-7, University of Alberta, Department of Economics.
    10. Garcia Pires, Armando J. & Skjeret, Frode, 2023. "Screening for partial collusion in retail electricity markets," Energy Economics, Elsevier, vol. 117(C).
    11. Max Berre, 2022. "Which Factors Matter Most? Can Startup Valuation be Micro-Targeted?," Post-Print hal-03829877, HAL.
    12. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
    13. Hannes Wallimann & Silvio Sticher, 2024. "How to Use Data Science in Economics -- a Classroom Game Based on Cartel Detection," Papers 2401.14757, arXiv.org.
    14. Chengyan Gu, 2023. "Market segmentation and dynamic price discrimination in the U.S. airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(5), pages 338-361, October.
    15. Bovin, Andreas & Bos, Iwan, 2023. "Market Shares as Collusive Marker: Evidence from the European Truck Industry," Research Memorandum 011, Maastricht University, Graduate School of Business and Economics (GSBE).
    16. David Imhof & Hannes Wallimann, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," Papers 2105.00337, arXiv.org.
    17. Silveira, Douglas & de Moraes, Lucas B. & Fiuza, Eduardo P.S. & Cajueiro, Daniel O., 2023. "Who are you? Cartel detection using unlabeled data," International Journal of Industrial Organization, Elsevier, vol. 88(C).

  21. Bolzern, Benjamin & Huber, Martin, 2017. "Testing the validity of the compulsory schooling law instrument," FSES Working Papers 480, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Sophie van Huellen & Duo Qin, 2016. "Compulsory Schooling and the Returns to Education: A Re-examination," Working Papers 199, Department of Economics, SOAS University of London, UK.
    2. Hofmarcher, Thomas, 2021. "The effect of education on poverty: A European perspective," Economics of Education Review, Elsevier, vol. 83(C).

  22. Hsu, Yu-Chin & Huber, Martin & Lai, Tsung Chih, 2017. "Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting," FSES Working Papers 482, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, Institute of Labor Economics (IZA).
    2. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Yu-Chin Hsu & Martin Huber & Yu-Min Yen, 2023. "Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning," Papers 2307.01049, arXiv.org.

  23. Denisova-Schmidt, Elena & Huber, Martin & Leontyeva, Elvira & Solovyeva, Anna, 2017. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," FSES Working Papers 487, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin & Imhof, David, 2019. "Machine learning with screens for detecting bid-rigging cartels," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 277-301.

  24. Frölich, Markus & Huber, Martin, 2017. "Including covariates in the regression discontinuity design," FSES Working Papers 489, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Mazzocchi, Mario & Capacci, Sara & Biondi, Beatrice, 2022. "Causal inference on the impact of nutrition policies using observational data," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 11(1), April.
    2. Bury, Yannick & Feld, Lars P. & Köhler, Ekkehard A., 2022. "Do party ties increase transfer receipts in cooperative federalism? Evidence from Germany," Freiburg Discussion Papers on Constitutional Economics 22/9, Walter Eucken Institut e.V..
    3. Gary Cornwall & Beau Sauley, 2021. "Indirect effects and causal inference: reconsidering regression discontinuity," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-28, December.
    4. Bertocchi, Graziella & Dimico, Arcangelo, 2020. "Bitter Sugar: Slavery and the Black Family," IZA Discussion Papers 13312, Institute of Labor Economics (IZA).
    5. Augusto Cerqua & Guido Pellegrini & Ornella Tarola, 2022. "Can regional policies shape migration flows?," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 515-536, June.
    6. Matias D. Cattaneo & Rocio Titiunik, 2021. "Regression Discontinuity Designs," Papers 2108.09400, arXiv.org, revised Feb 2022.
    7. Yoici Arai & Taisuke Otsu & Myung Hwan Seo, 2022. "Regression discontinuity design with potentially many covariates," STICERD - Econometrics Paper Series 626, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    8. Atı̇la Abdulkadı̇roğlu & Joshua D. Angrist & Yusuke Narita & Parag Pathak, 2022. "Breaking Ties: Regression Discontinuity Design Meets Market Design," Econometrica, Econometric Society, vol. 90(1), pages 117-151, January.
    9. Alexander Krei{ss} & Christoph Rothe, 2021. "Inference in Regression Discontinuity Designs with High-Dimensional Covariates," Papers 2110.13725, arXiv.org, revised May 2022.
    10. Masayuki Sawada & Takuya Ishihara & Daisuke Kurisu & Yasumasa Matsuda, 2024. "Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs," Papers 2402.08941, arXiv.org.
    11. Diana Bonfim & Cláudia Custódio & Clara Raposo, 2022. "Supporting small firms through recessions and recoveries," GEE Papers 0170, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Sep 2022.
    12. Joshua Angrist, 2022. "Empirical Strategies in Economics: Illuminating the Path from Cause to Effect," NBER Working Papers 29726, National Bureau of Economic Research, Inc.
    13. Alexander Kreiss & Christoph Rothe, 2023. "Inference in regression discontinuity designs with high-dimensional covariates," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 105-123.
    14. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    15. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    16. D’Inverno, Giovanna & Smet, Mike & De Witte, Kristof, 2021. "Impact evaluation in a multi-input multi-output setting: Evidence on the effect of additional resources for schools," European Journal of Operational Research, Elsevier, vol. 290(3), pages 1111-1124.
    17. Martin E Andresen & Martin Huber, 2021. "Instrument-based estimation with binarised treatments: issues and tests for the exclusion restriction," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 536-558.
    18. Yu‐Chin Hsu & Shu Shen, 2021. "Testing monotonicity of conditional treatment effects under regression discontinuity designs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 346-366, April.
    19. Yusuke Narita & Kohei Yata, 2021. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Cowles Foundation Discussion Papers 2283, Cowles Foundation for Research in Economics, Yale University.
    20. Jonas Jessen & Daniel Kuehnle & Markus Wagner, 2021. "Is Voting Really Habit-Forming and Transformative? Long-Run Effects of Earlier Eligibility on Turnout and Political Involvement from the UK," Discussion Papers of DIW Berlin 1973, DIW Berlin, German Institute for Economic Research.
    21. Matias D. Cattaneo & Luke Keele & Rocio Titiunik, 2021. "Covariate Adjustment in Regression Discontinuity Designs," Papers 2110.08410, arXiv.org, revised Aug 2022.
    22. Huber, Martin & Imhof, David, 2019. "Machine learning with screens for detecting bid-rigging cartels," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 277-301.
    23. Diana Bonfim & Cláudia Custódio, 2021. "The sensitivity of SME’s investment and employment to the cost of debt financing," Working Papers w202115, Banco de Portugal, Economics and Research Department.
    24. Nicholas A. Bowman & Nayoung Jang & D. Martin Kivlighan & Nancy Schneider & Xiaomeng Ye, 2020. "The Impact of a Goal-Setting Intervention for Engineering Students on Academic Probation," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(1), pages 142-166, February.
    25. Likai Chen & Georg Keilbar & Liangjun Su & Weining Wang, 2023. "Tests for Many Treatment Effects in Regression Discontinuity Panel Data Models," Papers 2312.01162, arXiv.org.
    26. Claudia Noack & Tomasz Olma & Christoph Rothe, 2021. "Flexible Covariate Adjustments in Regression Discontinuity Designs," Papers 2107.07942, arXiv.org, revised May 2023.
    27. Narita, Yusuke & Yata, Kohei, 2022. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," CEI Working Paper Series 2021-05, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    28. Narita, Yusuke & Yata, Kohei, 2022. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Discussion Paper Series 730, Institute of Economic Research, Hitotsubashi University.
    29. Jun Ma & Zhengfei Yu, 2020. "Empirical Likelihood Covariate Adjustment for Regression Discontinuity Designs," Papers 2008.09263, arXiv.org, revised May 2022.
    30. Erasmo Giambona & Rafael P. Ribas, 2023. "Unveiling the Price of Obscenity: Evidence From Closing Prostitution Windows in Amsterdam," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(3), pages 677-705, June.

  25. Dahl, Christian M. & Huber, Martin & Mellace, Giovanni, 2017. "It's never too LATE: A new look at local average treatment effects with or without defiers," Discussion Papers on Economics 2/2017, University of Southern Denmark, Department of Economics.

    Cited by:

    1. Fiorini, Mario & Stevens, Katrien, 2021. "Scrutinizing the Monotonicity Assumption in IV and fuzzy RD designs," Working Papers 2021-01, University of Sydney, School of Economics.
    2. Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
    3. Nadja van ’t Hoff & Arthur Lewbel & Giovanni Mellace, 2023. "Limited Monotonicity and the Combined Compliers LATE," Boston College Working Papers in Economics 1059, Boston College Department of Economics.
    4. Zhenting Sun & Kaspar Wuthrich, 2022. "Pairwise Valid Instruments," Papers 2203.08050, arXiv.org, revised Jan 2024.
    5. Huntington-Klein Nick, 2020. "Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 182-208, January.
    6. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.

  26. Huber, Martin & Steinmayr, Andreas, 2017. "A framework for separating individual treatment effects from spillover, interaction, and general equilibrium effects," FSES Working Papers 481, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Lafférs, Lukáš & Mellace, Giovanni, 2020. "Identification of the average treatment effect when SUTVA is violated," Discussion Papers on Economics 3/2020, University of Southern Denmark, Department of Economics.
    2. Stefano, Roberta di & Mellace, Giovanni, 2020. "The inclusive synthetic control method," Discussion Papers on Economics 14/2020, University of Southern Denmark, Department of Economics.

  27. Denisova-Schmidt, Elena & Huber, Martin & Leontyeva, Elvira, 2016. "On the development of students’ attitudes towards corruption and cheating in Russian universities," FSES Working Papers 467, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Шмелева Е. Д. & Семенова Т. В., 2019. "Академическое мошенничество студентов: учебная мотивация vs образовательная среда," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 101-129.
    2. Evgeniia Shmeleva & Tatiana Semenova, 2019. "Academic Dishonesty among College Students: Academic Motivation vs Contextual Factors," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 101-129.
    3. Anna Abalkina & Alexander Libman, 2020. "The real costs of plagiarism: Russian governors, plagiarized PhD theses, and infrastructure in Russian regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2793-2820, December.
    4. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva, 2016. "Do Anti-Corruption Educational Campaigns Reach Students? Some Evidence from Russia and Ukraine," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 61-83.

  28. Huber, Martin & Camponovo, Lorenzo & Bodory, Hugo & Lechner, Michael, 2016. "A wild bootstrap algorithm for propensity score matching estimators," FSES Working Papers 470, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2016. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," IZA Discussion Papers 9706, Institute of Labor Economics (IZA).
    2. Mengshan Xu & Taisuke Otsu, 2022. "Isotonic propensity score matching," Papers 2207.08868, arXiv.org.
    3. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2020. "The Effect of Investment, LFA and Agri‐environmental Subsidies on the Components of Total Factor Productivity: The Case of Slovenian Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 853-876, September.
    4. Taisuke Otsu & Mengshan Xu, 2022. "Isotonic propensity score matching," STICERD - Econometrics Paper Series 623, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

  29. Huber, Martin & Kotevska, Ana & Martinovska-Stojcheska, A. & Solovyeva, Anna, 2016. "Evaluating an information campaign about rural development policies in (FYR) Macedonia," FSES Working Papers 469, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Huber, Martin & Camponovo, Lorenzo & Bodory, Hugo & Lechner, Michael, 2016. "A wild bootstrap algorithm for propensity score matching estimators," FSES Working Papers 470, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

  30. Bodory, Hugo & Huber, Martin & Camponovo, Lorenzo & Lechner, Michael, 2016. "The finite sample performance of inference methods for propensity score matching and weighting estimators," FSES Working Papers 466, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Chlond, Bettina & Gavard, Claire & Jeuck, Lisa, 2021. "Supporting residential energy conservation under constrained public budget: Cost-effectiveness and redistribution analysis of public financial schemes in France," ZEW Discussion Papers 21-056, ZEW - Leibniz Centre for European Economic Research.
    2. Mohebalian, Phillip M. & Aguilar, Francisco X., 2018. "Beneath the Canopy: Tropical Forests Enrolled in Conservation Payments Reveal Evidence of Less Degradation," Ecological Economics, Elsevier, vol. 143(C), pages 64-73.
    3. Lutz Bellmann & Marco Caliendo & Stefan Tübbicke, 2018. "The Post‐Reform Effectiveness of the New German Start‐Up Subsidy for the Unemployed," LABOUR, CEIS, vol. 32(3), pages 293-319, September.
    4. Pawlowski, Tim & Steckenleiter, Carina & Wallrafen, Tim & Lechner, Michael, 2019. "Individual labor market effects of local public expenditures on sports," Economics Working Paper Series 1906, University of St. Gallen, School of Economics and Political Science.
    5. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    6. Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
    7. Bettina Chlond & Claire Gavard & Lisa Jeuck, 2023. "How to Support Residential Energy Conservation Cost-Effectively? An analysis of Public Financial Schemes in France," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 29-63, May.
    8. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2021. "Empirical Monte Carlo Evidence on Estimation of Timing-of-Events Models," IZA Discussion Papers 14015, Institute of Labor Economics (IZA).
    9. Krumer, Alex & Lechner, Michael, 2016. "Midweek Effect on Performance: Evidence from the German Soccer Bundesliga," Economics Working Paper Series 1609, University of St. Gallen, School of Economics and Political Science.
    10. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    11. Cushman, David O. & De Vita, Glauco, 2017. "Exchange rate regimes and FDI in developing countries: A propensity score matching approach," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 143-163.
    12. Arun Advani & Tymon Sloczynski, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP64/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Donna Feir & Kelly Foley & Maggie E. C. Jones, 2021. "The Distributional Impacts of Active Labor Market Programs for Indigenous Populations," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 216-220, May.
    14. Krumer, Alex & Lechner, Michael, 2016. "First In First Win: Evidence on Unfairness of Round-Robin Tournaments in Mega-Events," Economics Working Paper Series 1611, University of St. Gallen, School of Economics and Political Science.
    15. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2020. "The Effect of Investment, LFA and Agri‐environmental Subsidies on the Components of Total Factor Productivity: The Case of Slovenian Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 853-876, September.
    16. Samuel Dodini, 2023. "Insurance Subsidies, the Affordable Care Act, and Financial Stability," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(1), pages 97-136, January.
    17. Janka Goldan & Lena Nusser & Michael Gebel, 2022. "School-related Subjective Well-being of Children with and without Special Educational Needs in Inclusive Classrooms," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(4), pages 1313-1337, August.
    18. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    19. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
    20. Hugo Bodory & Martin Huber & Michael Lechner, 2022. "The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates," Papers 2212.07379, arXiv.org.
    21. Tübbicke, Stefan, 2023. "How sensitive are matching estimates of active labor market policy effects to typically unobserved confounders?," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-26.
    22. Anthony Strittmatter & Michael Lechner, 2019. "Sorting on the Used-Car Market After the Volkswagen Emission Scandal," Papers 1908.09609, arXiv.org.
    23. Goller, Daniel & Krumer, Alex, 2019. "Let’s meet as usual: Do games on non-frequent days differ? Evidence from top European soccer leagues," Economics Working Paper Series 1907, University of St. Gallen, School of Economics and Political Science.
    24. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    25. Huber, Martin & Camponovo, Lorenzo & Bodory, Hugo & Lechner, Michael, 2016. "A wild bootstrap algorithm for propensity score matching estimators," FSES Working Papers 470, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    26. Finn Tarp & Sam Jones & Felix Schilling, 2021. "Doing business while holding public office: Evidence from Mozambique’s firm registry," DERG working paper series 21-08, University of Copenhagen. Department of Economics. Development Economics Research Group (DERG).
    27. Marco Caliendo & Stefan Tübbicke, 2019. "Do Start-Up Subsidies for the Unemployed Affect Participants’ Well-Being? A Rigorous Look at (Un-)Intended Consequences of Labor Market Policies," CEPA Discussion Papers 14, Center for Economic Policy Analysis.
    28. Goller, Daniel & Krumer, Alex, 2020. "Let's meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues," European Journal of Operational Research, Elsevier, vol. 286(2), pages 740-754.
    29. Krumer, Alex & Lechner, Michael, 2017. "First in first win: Evidence on schedule effects in round-robin tournaments in mega-events," European Economic Review, Elsevier, vol. 100(C), pages 412-427.
    30. Tenglong Li & Jordan Lawson, 2021. "A generalized bootstrap procedure of the standard error and confidence interval estimation for inverse probability of treatment weighting," Papers 2109.00171, arXiv.org.
    31. Philipp Breidenbach & Timo Mitze, 2022. "Large-scale sport events and COVID-19 infection effects: evidence from the German professional football ‘experiment’ [Semiparametric difference-in-differences estimators]," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 15-45.
    32. Alex Krumer & Michael Lechner, 2018. "Midweek Effect On Soccer Performance: Evidence From The German Bundesliga," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 193-207, January.

  31. Eva Deuchert & Martin Huber & Mark Schelker, 2016. "Direct and Indirect Effects Based on Difference-in-Differences with an Application to Political Preferences Following the Vietnam Draft Lottery," CESifo Working Paper Series 6000, CESifo.

    Cited by:

    1. Mike Brewer & Thang Dang & Emma Tominey, 2022. "Universal Credit: Welfare Reform and Mental Health," Working Papers 2022-008, Human Capital and Economic Opportunity Working Group.
    2. Bhalotra, Sonia & , & Nilsson, Therese & Schwarz, Nina, 2022. "Infant health, cognitive performance and earnings: Evidence from inception of the welfare state in Sweden," CEPR Discussion Papers 17257, C.E.P.R. Discussion Papers.
    3. Mellace, Giovanni & Pasquini, Alessandra, 2019. "Identify More, Observe Less: Mediation Analysis: Mediation Analysis Synthetic Control," Discussion Papers on Economics 12/2019, University of Southern Denmark, Department of Economics.
    4. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, Institute of Labor Economics (IZA).
    5. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
    6. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    7. Hersche Markus & Moor Elias, 2020. "Identification and Estimation of Intensive Margin Effects by Difference-in-Difference Methods," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 272-285, January.
    8. Holm, Anders & Breen, Richard, 2023. "Causal Mediation in Panel Data – Estimation Based on Difference in Differences," SocArXiv kwscz, Center for Open Science.
    9. Huber, Martin & Schelker, Mark & Strittmatter, Anthony, 2019. "Direct and Indirect Effects based on Changes-in- Changes," FSES Working Papers 508, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    10. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    11. Giovanni Mellace & Alessandra Pasquini, 2019. "Identify More, Observe Less: Mediation Analysis Synthetic Control," CEIS Research Paper 474, Tor Vergata University, CEIS, revised 20 Nov 2019.
    12. Masayuki Sawada, 2019. "Noncompliance in randomized control trials without exclusion restrictions," Papers 1910.03204, arXiv.org, revised Jun 2021.
    13. Rajkumar, Vidya Bharathi, 2021. "Male Migration and the Emergence of Female Farm Management in India," 2021 Conference, August 17-31, 2021, Virtual 315329, International Association of Agricultural Economists.

  32. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The finite sample performance of semi- and nonparametric estimators for treatment effects and policy evaluation," FSES Working Papers 454, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Andrea Albanese & Lorenzo Cappellari & Marco Leonardi, 2021. "The effects of youth labour market reforms: evidence from Italian apprenticeships," Oxford Economic Papers, Oxford University Press, vol. 73(1), pages 98-121.
    2. Stefan Tübbicke, 2020. "Entropy Balancing for Continuous Treatments," CEPA Discussion Papers 21, Center for Economic Policy Analysis.
    3. Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
    4. Arabsheibani, Gholamreza & Gupta, Prashant & Mishra, Tapas & Parhi, Mamata, 2018. "Wage differential between caste groups: Are younger and older cohorts different?," Economic Modelling, Elsevier, vol. 74(C), pages 10-23.
    5. Czarnitzki, Dirk & Hünermund, Paul & Moshgbar, Nima, 2018. "Public procurement as policy instrument for innovation," ZEW Discussion Papers 18-001, ZEW - Leibniz Centre for European Economic Research.
    6. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2021. "Empirical Monte Carlo Evidence on Estimation of Timing-of-Events Models," IZA Discussion Papers 14015, Institute of Labor Economics (IZA).
    7. Albanese, Andrea & Cockx, Bart & Thuy, Yannick, 2015. "Working Time Reductions at the End of the Career: Do They Prolong the Time Spent in Employment?," IZA Discussion Papers 9619, Institute of Labor Economics (IZA).
    8. Arun Advani & Tymon Sloczynski, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP64/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Nadine Chami & Arthur Sweetman, 2019. "Payment models in primary health care: A driver of the quantity and quality of medical laboratory utilization," Health Economics, John Wiley & Sons, Ltd., vol. 28(10), pages 1166-1178, October.
    10. Stefania, Cardinaleschi & Mirella, Damiani & Fabrizio, Pompei, 2018. "Knowledge-intensive sectors and the role of collective performance-related pay," MPRA Paper 91302, University Library of Munich, Germany.
    11. Mengshan Xu & Taisuke Otsu, 2022. "Isotonic propensity score matching," Papers 2207.08868, arXiv.org.
    12. Zhang, Xue & Sweetman, Arthur, 2018. "Blended capitation and incentives: Fee codes inside and outside the capitated basket," Journal of Health Economics, Elsevier, vol. 60(C), pages 16-29.
    13. Alex Bryson & Michael White, 2019. "HRM and Small-Firm Employee Motivation: Before and After the Great Recession," ILR Review, Cornell University, ILR School, vol. 72(3), pages 749-773, May.
    14. Alan P. Ker & Abdoul G. Sam, 2018. "Semiparametric estimation of the link function in binary-choice single-index models," Computational Statistics, Springer, vol. 33(3), pages 1429-1455, September.
    15. Albanese, Andrea & Cockx, Bart, 2015. "Permanent Wage Cost Subsidies for Older Workers: An Effective Tool for Increasing Working Time and Postponing Early Retirement?," IZA Discussion Papers 8988, Institute of Labor Economics (IZA).
    16. Bensch, Gunther & Kluve, Jochen & Stöterau, Jonathan, 2016. "The market-based dissemination of modern-energy products as a business model for rural entrepreneurs: Evidence from Kenya," Ruhr Economic Papers 635, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    17. Taisuke Otsu & Mengshan Xu, 2022. "Isotonic propensity score matching," STICERD - Econometrics Paper Series 623, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    18. Bryson, Alex & White, Michael, 2017. "HRM and Small-Firm Employee Motivation: Before and after the Recession," IZA Discussion Papers 10737, Institute of Labor Economics (IZA).
    19. Bensch, Gunther & Kluve, Jochen & Stöterau, Jonathan, 2021. "The market-based dissemination of energy-access technologies as a business model for rural entrepreneurs: Evidence from Kenya," Resource and Energy Economics, Elsevier, vol. 66(C).
    20. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    21. Czarnitzki, Dirk & Hünermund, Paul & Moshgbar, Nima, 2020. "Public Procurement of Innovation: Evidence from a German Legislative Reform," International Journal of Industrial Organization, Elsevier, vol. 71(C).
    22. Lee, Ying-Ying, 2018. "Efficient propensity score regression estimators of multivalued treatment effects for the treated," Journal of Econometrics, Elsevier, vol. 204(2), pages 207-222.

  33. Fricke, Hans & Frölich, Markus & Huber, Martin & Lechner, Michael, 2015. "Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments," FSES Working Papers 459, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Fricke, Hans & Lechner, Michael & Steinmayr, Andreas, 2017. "The Effect of Physical Activity on Student Performance in College: An Experimental Evaluation," Economics Working Paper Series 1707, University of St. Gallen, School of Economics and Political Science.
    2. Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
    3. Huber, Martin & Solovyeva, Anna, 2018. "Direct and indirect effects under sample selection and outcome attrition," FSES Working Papers 496, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    4. Sokbae (Simon) Lee & Bernard Salanie, 2018. "Identifying effects of multivalued treatments," CeMMAP working papers CWP34/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Lafférs, Lukáš & Schmidpeter, Bernhard, 2020. "Early Child Development and Parents' Labor Supply," IZA Discussion Papers 13531, Institute of Labor Economics (IZA).
    6. Martin Huber, 2021. "On the Plausibility of the Latent Ignorability Assumption," Econometrics, MDPI, vol. 9(4), pages 1-6, December.
    7. Heng Chen & Geoffrey Dunbar & Q. Rallye Shen, 2020. "The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 341-357, Emerald Group Publishing Limited.
    8. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
    9. Le-Yu Chen & Yu-Min Yen, 2021. "Estimations of the Conditional Tail Average Treatment Effect," Papers 2109.08793, arXiv.org, revised Sep 2021.
    10. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    11. Fricke, Hans & Lechner, Michael & Steinmayr, Andreas, 2018. "The effects of incentives to exercise on student performance in college," Economics of Education Review, Elsevier, vol. 66(C), pages 14-39.
    12. Kedagni, Desire, 2018. "Identifying Treatment Effects in the Presence of Confounded Types," ISU General Staff Papers 201809110700001056, Iowa State University, Department of Economics.
    13. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.

  34. Felfe, Christina & Huber, Martin, 2015. "Does preschool boost the development of minority children? The case of Roma children," FSES Working Papers 455, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Luca Corazzini & Elena Meschi & Caterina Pavese, 2020. "Impact of Early Childcare on Immigrant Children's Educational Performance," Working Papers 452, University of Milano-Bicocca, Department of Economics, revised Oct 2020.
    2. Mette Foged & Linea Hasager & Giovanni Peri & Jacob N. Arendt & Iben Bolvig, 2022. "Intergenerational Spillover Effects of Language Training for Refugees," NBER Working Papers 30341, National Bureau of Economic Research, Inc.
    3. Jose Cuesta & Mario Negre & Ana Revenga & Maika Schmidt, 2018. "Tackling Income Inequality: What Works and Why?," Journal of Income Distribution, Ad libros publications inc., vol. 26(1), pages 1-48, March.
    4. Micha Kaiser & Jan M. Bauer, 2019. "Preschool Child Care and Child Well-Being in Germany: Does the Migrant Experience Differ?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1367-1390, August.

  35. Lechner, Michael & Huber, Martin & Strittmatter, Anthony, 2015. "Direct and indirect effects of training vouchers for the unemployed," CEPR Discussion Papers 10650, C.E.P.R. Discussion Papers.

    Cited by:

    1. Massimiliano Bratti & Corinna Ghirelli & Enkelejda Havari & Giulia Santangelo, 2022. "Vocational training for unemployed youth in Latvia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(2), pages 677-717, April.
    2. Doerr, Annabelle, 2022. "Vocational Training for Female Job Returners - Effects on Employment, Earnings and Job Quality," Working papers 2022/02, Faculty of Business and Economics - University of Basel.
    3. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    4. Patrick Ring & Christoph A. Schütt & Dennis J. Snower, 2023. "Care and anger motives in social dilemmas," Theory and Decision, Springer, vol. 95(2), pages 273-308, August.
    5. Anthony Strittmatter, 2016. "What effect do vocational training vouchers have on the unemployed?," IZA World of Labor, Institute of Labor Economics (IZA), pages 316-316, November.
    6. Huber, Martin & Schelker, Mark & Strittmatter, Anthony, 2019. "Direct and Indirect Effects based on Changes-in- Changes," FSES Working Papers 508, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    7. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    8. Marco Doretti & Martina Raggi & Elena Stanghellini, 2022. "Exact parametric causal mediation analysis for a binary outcome with a binary mediator," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 87-108, March.
    9. Matthew Blackwell & Anton Strezhnev, 2022. "Telescope matching for reducing model dependence in the estimation of the effects of time‐varying treatments: An application to negative advertising," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 377-399, January.
    10. Farbmacher, Helmut & Huber, Martin & Langen, Henrika & Spindler, Martin, 2020. "Causal mediation analysis with double machine learning," FSES Working Papers 515, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    11. Madoń, Karol & Magda, Iga & Palczyńska, Marta & Smoter, Mateusz, 2021. "What Works for Whom? Youth Labour Market Policy in Poland," IZA Discussion Papers 14793, Institute of Labor Economics (IZA).
    12. Bhanot, Syon P. & Crost, Benjamin & Leight, Jessica & Mvukiyehe, Eric & Yedgenov, Bauyrzhan, 2021. "Can community service grants foster social and economic integration for youth? A randomized trial in Kazakhstan," Journal of Development Economics, Elsevier, vol. 153(C).
    13. Bratti, Massimiliano & Ghirelli, Corinna & Havari, Enkelejda & Santangelo, Giulia, 2018. "Vocational Training for Unemployed Youth in Latvia: Evidence from a Regression Discontinuity Design," IZA Discussion Papers 11870, Institute of Labor Economics (IZA).

  36. Denisova-Schmidt, Elena & Huber, Martin & Prytula, Yaroslav, 2015. "An experimental evaluation of an anti-corruption intervention among Ukrainian university students," FSES Working Papers 462, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva & Anna Solovyeva, 2021. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," Empirical Economics, Springer, vol. 60(4), pages 1661-1684, April.
    2. Gans-Morse, Jordan & Borges, Mariana & Makarin, Alexey & Mannah-Blankson, Theresa & Nickow, Andre & Zhang, Dong, 2018. "Reducing bureaucratic corruption: Interdisciplinary perspectives on what works," World Development, Elsevier, vol. 105(C), pages 171-188.
    3. Giulia Mugellini & Sara Della Bella & Marco Colagrossi & Giang Ly Isenring & Martin Killias, 2021. "Public sector reforms and their impact on the level of corruption: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(2), June.
    4. Denisova-Schmidt, Elena & Prytula, Yaroslav, 2018. "Business corruption in Ukraine: A way to get things done?," Business Horizons, Elsevier, vol. 61(6), pages 867-879.
    5. Huber, Martin & Kotevska, Ana & Stojcheska, Aleksandra Martinovska & Solovyeva, Anna, 2019. "Evaluating an Information Campaign about Rural Development Policies in FYR Macedonia," Agricultural and Resource Economics Review, Cambridge University Press, vol. 48(1), pages 117-141, April.

  37. Markus Frölich & Martin Huber, 2014. "Direct and indirect treatment effects: causal chains and mediation analysis with instrumental variables," CeMMAP working papers 31/14, Institute for Fiscal Studies.

    Cited by:

    1. Huber, Martin & Steinmayr, Andreas, 2017. "A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects," IZA Discussion Papers 10648, Institute of Labor Economics (IZA).
    2. Kantorowicz, Jarosław & Köppl-Turyna, Monika, 2017. "Disentangling fiscal effects of local constitutions," Working Papers 06, Agenda Austria.
    3. Monsees, Daniel & Schmitz, Hendrik, 2023. "The effect of compulsory schooling on vaccination against COVID and Influenza," Ruhr Economic Papers 1011, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Fabian Kosse & Thomas Deckers & Hannah Schildberg-Hörisch & Armin Falk, 2016. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," SOEPpapers on Multidisciplinary Panel Data Research 840, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Hoshino, Tadao & Yanagi, Takahide, 2023. "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, vol. 236(2).
    6. Denise Hörner & Adrien Bouguen & Markus Frölich & Meike Wollni, 2019. "The Effects of Decentralized and Video-based Extension on the Adoption of Integrated Soil Fertility Management – Experimental Evidence from Ethiopia," NBER Working Papers 26052, National Bureau of Economic Research, Inc.
    7. Kara E. Rudolph & Iván Díaz, 2022. "When the ends do not justify the means: Learning who is predicted to have harmful indirect effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 573-589, December.
    8. Francesco Longo & Karl Claxton & Stephen Martin & James Lomas, 2023. "More long‐term care for better healthcare and vice versa: investigating the mortality effects of interactions between these public sectors," Fiscal Studies, John Wiley & Sons, vol. 44(2), pages 189-216, June.
    9. Huber, Martin & Solovyeva, Anna, 2018. "Direct and indirect effects under sample selection and outcome attrition," FSES Working Papers 496, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    10. Prifti, Ervin & Daidone, Silvio & Davis, Benjamin, 2019. "Causal pathways of the productive impacts of cash transfers: Experimental evidence from Lesotho," World Development, Elsevier, vol. 115(C), pages 258-268.
    11. Salm, Martin & Siflinger, Bettina & Xie, Mingjia, 2021. "The Effect of Retirement on Mental Health: Indirect Treatment Effects and Causal Mediation," Other publications TiSEM e28efa7f-8219-437c-a26d-2, Tilburg University, School of Economics and Management.
    12. Christian Dippel & Robert Gold & Stephan Heblich & Rodrigo Pinto, 2017. "Instrumental Variables and Causal Mechanisms: Unpacking The Effect of Trade on Workers and Voters," NBER Working Papers 23209, National Bureau of Economic Research, Inc.
    13. Karim Bekhtiar, 2023. "The decline of manufacturing employment and the rise of the far-right in Austria," Economics working papers 2023-09, Department of Economics, Johannes Kepler University Linz, Austria.
    14. Martin Huber, 2016. "Disentangling policy effects into causal channels," IZA World of Labor, Institute of Labor Economics (IZA), pages 259-259, May.
    15. Alexia Lochmann & Hillel Rapoport & Biagio Speciale, 2019. "The effect of language training on immigrants’ economic integration: Empirical evidence from France," PSE-Ecole d'économie de Paris (Postprint) halshs-02096347, HAL.
    16. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, Institute of Labor Economics (IZA).
    17. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
    18. Guo, Xu & Li, Runze & Liu, Jingyuan & Zeng, Mudong, 2023. "Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 235(1), pages 166-179.
    19. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    20. Ohrnberger, Julius & Anselmi, Laura & Fichera, Eleonora & Sutton, Matt, 2020. "The effect of cash transfers on mental health: Opening the black box – A study from South Africa," Social Science & Medicine, Elsevier, vol. 260(C).
    21. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
    22. Le-Yu Chen & Yu-Min Yen, 2021. "Estimations of the Conditional Tail Average Treatment Effect," Papers 2109.08793, arXiv.org, revised Sep 2021.
    23. Liu, Shilei & Xu, Jintao, 2019. "Livelihood mushroomed: Examining household level impacts of non-timber forest products (NTFPs) under new management regime in China's state forests," Forest Policy and Economics, Elsevier, vol. 98(C), pages 44-53.
    24. Manu Navjeevan & Rodrigo Pinto & Andres Santos, 2023. "Identification and Estimation in a Class of Potential Outcomes Models," Papers 2310.05311, arXiv.org.
    25. Breda, Thomas & Grenet, Julien & Monnet, Marion & Van Effenterre, Clémentine, 2020. "Do Female Role Models Reduce the Gender Gap in Science? Evidence from French High Schools," IZA Discussion Papers 13163, Institute of Labor Economics (IZA).
    26. Huber, Martin & Schelker, Mark & Strittmatter, Anthony, 2019. "Direct and Indirect Effects based on Changes-in- Changes," FSES Working Papers 508, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    27. Bashar, Omar & Mallick, Debdulal, 2021. "Frequency of Shocks, Resilience and Shock Persistence: Evidence from Natural Disasters," MPRA Paper 107517, University Library of Munich, Germany.
    28. Marco Doretti & Martina Raggi & Elena Stanghellini, 2022. "Exact parametric causal mediation analysis for a binary outcome with a binary mediator," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 87-108, March.
    29. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    30. Deuchert, Eva & Huber, Martin & Schelker, Mark, 2017. "Direct and indirect effects based on difference-in-differences with an application to political preferences following the Vietnam draft lottery," FSES Working Papers 473, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    31. Yu-Chin Hsu & Martin Huber & Yu-Min Yen, 2023. "Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning," Papers 2307.01049, arXiv.org.
    32. Yi-feng Zhang & Min-xuan Ji & Xiu-zhi Zheng, 2023. "Digital Economy, Agricultural Technology Innovation, and Agricultural Green Total Factor Productivity," SAGE Open, , vol. 13(3), pages 21582440231, August.
    33. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    34. Muhammad Shoukat Malik & Lubna Kanwal, 2018. "Impact of Corporate Social Responsibility Disclosure on Financial Performance: Case Study of Listed Pharmaceutical Firms of Pakistan," Journal of Business Ethics, Springer, vol. 150(1), pages 69-78, June.
    35. Avdeenko, Alexandra & Frölich, Markus, 2020. "Research standards in empirical development economics: What’s well begun, is half done," World Development, Elsevier, vol. 127(C).
    36. Sung Jae Jun & Joris Pinkse & Haiqing Xu & Neşe Yıldız, 2016. "Multiple Discrete Endogenous Variables in Weakly-Separable Triangular Models," Econometrics, MDPI, vol. 4(1), pages 1-21, February.
    37. Shishir Shakya & Nabamita Dutta, 2024. "How Individualism Influences Female Financial Inclusion through Education: Evidence from Historical Prevalence of Infectious Diseases," Working Papers 24-03, Department of Economics, Appalachian State University.
    38. Bijwaard, G.E.; & Jones, A.M.;, 2019. "Education and life-expectancy and how the relationship is mediated through changes in behaviour: a principal stratification approach for hazard rates," Health, Econometrics and Data Group (HEDG) Working Papers 19/05, HEDG, c/o Department of Economics, University of York.

  38. Huber, Martin & Mellace, Giovanni & Lechner, Michael, 2014. "The finite sample performance of estimators for mediation analysis under sequential conditional independence," Economics Working Paper Series 1415, University of St. Gallen, School of Economics and Political Science, revised Nov 2014.

    Cited by:

    1. Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
    2. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2021. "Empirical Monte Carlo Evidence on Estimation of Timing-of-Events Models," IZA Discussion Papers 14015, Institute of Labor Economics (IZA).
    3. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    4. Mellace, Giovanni & Pasquini, Alessandra, 2019. "Identify More, Observe Less: Mediation Analysis: Mediation Analysis Synthetic Control," Discussion Papers on Economics 12/2019, University of Southern Denmark, Department of Economics.
    5. Giovanni Mellace & Alessandra Pasquini, 2022. "Mediation Analysis Synthetic Control," Temi di discussione (Economic working papers) 1389, Bank of Italy, Economic Research and International Relations Area.
    6. Arun Advani & Tymon Sloczynski, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP64/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2016. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," IZA Discussion Papers 9706, Institute of Labor Economics (IZA).
    8. Hugo Bodory & Martin Huber & Michael Lechner, 2022. "The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates," Papers 2212.07379, arXiv.org.
    9. Giovanni Mellace & Alessandra Pasquini, 2019. "Identify More, Observe Less: Mediation Analysis Synthetic Control," CEIS Research Paper 474, Tor Vergata University, CEIS, revised 20 Nov 2019.
    10. Bijwaard, Govert & Alessie, Rob & Angelini, Viola, 2018. "The Effect of Early Life Health on Later Life Home Care Use: The Mediating Role of Household Composition," IZA Discussion Papers 11729, Institute of Labor Economics (IZA).
    11. Bellani, Luna & Bia, Michela, 2017. "The Long-Run Impact of Childhood Poverty and the Mediating Role of Education," IZA Discussion Papers 10677, Institute of Labor Economics (IZA).
    12. Stephen Whelan, 2017. "Does homeownership affect education outcomes?," IZA World of Labor, Institute of Labor Economics (IZA), pages 342-342, April.

  39. Denisova-Schmidt, Elena & Huber, Martin, 2014. "Regional Differences in Perceived Corruption among Ukrainian Firms," Economics Working Paper Series 1407, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Huber, Martin & Tyahlo, Svitlana, 2016. "How war affects political attitudes: evidence from eastern Ukraine," FSES Working Papers 472, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Denisova-Schmidt, Elena & Huber, Martin & Prytula, Yaroslav, 2015. "An experimental evaluation of an anti-corruption intervention among Ukrainian university students," FSES Working Papers 462, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Teichmann, Fabian & Falker, Marie-Christin & Sergi, Bruno S., 2020. "Extractive industries, corruption and potential solutions. The case of Ukraine," Resources Policy, Elsevier, vol. 69(C).
    4. Denisova-Schmidt, Elena & Prytula, Yaroslav, 2018. "Business corruption in Ukraine: A way to get things done?," Business Horizons, Elsevier, vol. 61(6), pages 867-879.

  40. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2014. "Workplace health promotion and labour market performance of employees," Working papers 2014/06, Faculty of Business and Economics - University of Basel.

    Cited by:

    1. Marwah Badr Zaya Yousif & Taicir Moalla Loukil, 2022. "Determining the Effect of Narcissistic Leadership on Employee Performance: An applied Study in a Private College in Iraq," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 11, September.
    2. Doerr, Annabelle, 2022. "Vocational Training for Female Job Returners - Effects on Employment, Earnings and Job Quality," Working papers 2022/02, Faculty of Business and Economics - University of Basel.
    3. Broszeit, Sandra & Laible, Marie-Christine, 2017. "Examining the link between health measures, management practices and establishment performance," IAB-Discussion Paper 201726, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    5. Ong, Rachel & Nguyen, Toan & Kendall, Garth, 2018. "The impact of intergenerational financial transfers on health and wellbeing outcomes: A longitudinal study," Social Science & Medicine, Elsevier, vol. 214(C), pages 179-186.

  41. Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," FSES Working Papers 453, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

    Cited by:

    1. Andrei Barbos & Minglu Sun, 2021. "The effect of awarding disability benefits on opioid consumption," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2794-2807, November.
    2. Sallin, Aurelién, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series 2109, University of St. Gallen, School of Economics and Political Science.
    3. Massimiliano Bratti & Mariapia Mendola & Alfonso Miranda, 2016. "Hard to forget:The long-lasting impact of war on mental health," HiCN Working Papers 206, Households in Conflict Network.
    4. Bensch, Gunther & Gotz, Gunnar & Peters, Jörg, 2020. "Effects of Rural Electrification on Employment: A Comment on Dinkelman (2011)," MetaArXiv zhn9b, Center for Open Science.
    5. Schaubert, Marianna, 2022. "Do courts know how to incentivize? Behavioral response of non-resident parents to child support obligations," Children and Youth Services Review, Elsevier, vol. 137(C).
    6. Riedel, Nadine & Simmler, Martin & Wittrock, Christian, 2020. "Local fiscal policies and their impact on the number and spatial distribution of new firms," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    7. Chadi, Adrian, 2014. "Dissatisfied with Life or with Being Interviewed? Happiness and Motivation to Participate in a Survey," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100505, Verein für Socialpolitik / German Economic Association.
    8. Fenton Villar, Paul, 2020. "The Extractive Industries Transparency Initiative (EITI) and trust in politicians," Resources Policy, Elsevier, vol. 68(C).
    9. Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," FSES Working Papers 453, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    10. Xintong Wang & Alfonso Flores-Lagunes, 2022. "Conscription and Military Service: Do They Result in Future Violent and Nonviolent Incarcerations and Recidivism?," Journal of Human Resources, University of Wisconsin Press, vol. 57(5), pages 1715-1757.
    11. Gerten, Elisa & Beckmann, Michael & Kräkel, Matthias, 2022. "Information and Communication Technology, Hierarchy, and Job Design," IZA Discussion Papers 15491, Institute of Labor Economics (IZA).
    12. Dertinger, Andrea & Hirth, Lion, 2020. "Reforming the electric power industry in developing economies evidence on efficiency and electricity access outcomes," Energy Policy, Elsevier, vol. 139(C).
    13. Tran, My & Gannon, Brenda & Rose, Christiern, 2023. "The effect of housing wealth on older adults’ health care utilization: Evidence from fluctuations in the U.S. housing market," Journal of Health Economics, Elsevier, vol. 88(C).
    14. Breen, Richard & Ermisch, John, 2021. "Instrumental Variable Estimation in Demographic Studies: The LATE interpretation of the IV estimator with heterogenous effects," SocArXiv vx9m7, Center for Open Science.
    15. Kaspar W thrich, 2014. "A Comparison of two Quantile Models with Endogeneity," Diskussionsschriften dp1408, Universitaet Bern, Departement Volkswirtschaft.
    16. Deuchert, Eva & Huber, Martin & Schelker, Mark, 2017. "Direct and indirect effects based on difference-in-differences with an application to political preferences following the Vietnam draft lottery," FSES Working Papers 473, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    17. Aepli, Manuel, 2019. "Technological change and occupation mobility: A task-based approach to horizontal mismatch," GLO Discussion Paper Series 361, Global Labor Organization (GLO).
    18. Masayuki Sawada, 2019. "Noncompliance in randomized control trials without exclusion restrictions," Papers 1910.03204, arXiv.org, revised Jun 2021.
    19. Glynn, Adam & Rueda, miguel & Schuessler, Julian, 2023. "Post-Instrument Bias in Linear Models," SocArXiv axn4t, Center for Open Science.
    20. Aur'elien Sallin, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Papers 2110.08807, arXiv.org, revised Feb 2022.
    21. Schaubert, Marianna, 2018. "Behavioral Response of Non-Resident Parents to Child Support Obligations: Evidence From SOEP," EconStor Preprints 203675, ZBW - Leibniz Information Centre for Economics.

  42. Frölich, Markus & Huber, Martin, 2014. "Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition," IZA Discussion Papers 7972, Institute of Labor Economics (IZA).

    Cited by:

    1. Kaitlin Anderson & Gema Zamarro & Jennifer Steele & Trey Miller, 2021. "Comparing Performance of Methods to Deal With Differential Attrition in Randomized Experimental Evaluations," Evaluation Review, , vol. 45(1-2), pages 70-104, February.
    2. Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
    3. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    4. Huber, Martin & Solovyeva, Anna, 2018. "Direct and indirect effects under sample selection and outcome attrition," FSES Working Papers 496, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    5. Salm, Martin & Siflinger, Bettina & Xie, Mingjia, 2021. "The Effect of Retirement on Mental Health: Indirect Treatment Effects and Causal Mediation," Other publications TiSEM e28efa7f-8219-437c-a26d-2, Tilburg University, School of Economics and Management.
    6. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
    7. Martin Huber, 2021. "On the Plausibility of the Latent Ignorability Assumption," Econometrics, MDPI, vol. 9(4), pages 1-6, December.
    8. Christophe Bell'ego & David Benatia & Vincent Dortet-Bernardet, 2023. "The Chained Difference-in-Differences," Papers 2301.01085, arXiv.org, revised Dec 2023.
    9. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
    10. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    11. Akanksha Negi, 2020. "Doubly weighted M-estimation for nonrandom assignment and missing outcomes," Papers 2011.11485, arXiv.org.
    12. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    13. Kevin L. Cope, 2023. "Measuring law's normative force," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 20(4), pages 1005-1044, December.
    14. Avdeenko, Alexandra & Frölich, Markus, 2020. "Research standards in empirical development economics: What’s well begun, is half done," World Development, Elsevier, vol. 127(C).

  43. Huber, Martin, 2014. "Causal pitfalls in the decomposition of wage gaps," Economics Working Paper Series 1405, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Hanewald, Katja & Jia, Ruo & Liu, Zining, 2021. "Why is inequality higher among the old? Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    2. Huber, Martin & Solovyeva, Anna, 2018. "Direct and indirect effects under sample selection and outcome attrition," FSES Working Papers 496, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Prifti, Ervin & Daidone, Silvio & Davis, Benjamin, 2019. "Causal pathways of the productive impacts of cash transfers: Experimental evidence from Lesotho," World Development, Elsevier, vol. 115(C), pages 258-268.
    4. Boris Kaiser, 2013. "Decomposing Differences in Arithmetic Means: A Doubly-Robust Estimation Approach," Diskussionsschriften dp1308, Universitaet Bern, Departement Volkswirtschaft.
    5. Brown, Martin & Henchoz, Caroline & Spycher, Thomas, 2018. "Culture and financial literacy: Evidence from a within-country language border," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 62-85.
    6. Wunsch, Conny & Strittmatter, Anthony, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," CEPR Discussion Papers 15840, C.E.P.R. Discussion Papers.
    7. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    8. Anthony Strittmatter, 2019. "Heterogeneous Earnings Effects of the Job Corps by Gender Earnings: A Translated Quantile Approach," Papers 1908.08721, arXiv.org.
    9. Sloczynski, Tymon, 2015. "Average Wage Gaps and Oaxaca–Blinder Decompositions," IZA Discussion Papers 9036, Institute of Labor Economics (IZA).
    10. Martin Huber, 2016. "Disentangling policy effects into causal channels," IZA World of Labor, Institute of Labor Economics (IZA), pages 259-259, May.
    11. Fernandes, Ana & Huber, Martin & Vaccaro, Giannina, 2020. "Gender Differences in Wage Expectations," FSES Working Papers 516, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    12. Karolina Goraus & Joanna Tyrowicz & Lucas Velde, 2017. "Which Gender Wage Gap Estimates to Trust? A Comparative Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 118-146, March.
    13. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
    14. Tymon Sloczynski, 2018. "Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," Working Papers 127, Brandeis University, Department of Economics and International Business School.
    15. Collischon, Matthias, 2016. "Personality, ability, marriage and the gender wage gap: Evidence from Germany," FAU Discussion Papers in Economics 08/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    16. Huber, Martin & Solovyeva, Anna, 2018. "On the sensitivity of wage gap decompositions," FSES Working Papers 497, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    17. Valentina S. Consiglio & Denisa M. Sologon, 2022. "The Myth of Equal Opportunity in Germany? Wage Inequality and the Role of (Non-)academic Family Background for Differences in Capital Endowments and Returns on the Labour Market," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(2), pages 455-493, January.
    18. Peter Huber & Ulrike Huemer, 2015. "Gender Differences in Lifelong Learning: An Empirical Analysis of the Impact of Marriage and Children," LABOUR, CEIS, vol. 29(1), pages 32-51, March.
    19. Huber, Martin & Schelker, Mark & Strittmatter, Anthony, 2019. "Direct and Indirect Effects based on Changes-in- Changes," FSES Working Papers 508, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    20. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    21. Tymon Słoczyński, 2020. "Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," ILR Review, Cornell University, ILR School, vol. 73(3), pages 705-729, May.
    22. Farbmacher, Helmut & Huber, Martin & Langen, Henrika & Spindler, Martin, 2020. "Causal mediation analysis with double machine learning," FSES Working Papers 515, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    23. Bensch, Gunther & Kluve, Jochen & Stöterau, Jonathan, 2021. "The market-based dissemination of energy-access technologies as a business model for rural entrepreneurs: Evidence from Kenya," Resource and Energy Economics, Elsevier, vol. 66(C).
    24. Yamamoto, Yuki & Matsumoto, Ken’ichi & Kawata, Keisuke & Kaneko, Shinji, 2019. "Gender-based differences in employment opportunities and wage distribution in Nepal," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
    25. Jeremiah Richey & Nikolas Tromp, 2021. "The Black–White wage gap among young men in 1990 versus 2011: With sample selection adjustments," Bulletin of Economic Research, Wiley Blackwell, vol. 73(4), pages 780-805, October.
    26. Biewen, Martin & Fitzenberger, Bernd & Seckler, Matthias, 2020. "Counterfactual quantile decompositions with selection correction taking into account Huber/Melly (2015): An application to the German gender wage gap," Labour Economics, Elsevier, vol. 67(C).
    27. Nicolas Herault & Francisco Azpitarte, 2016. "Understanding Changes in the Distribution and Redistribution of Income: A Unifying Decomposition Framework," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(2), pages 266-282, June.
    28. Brown, Martin & Henchoz, Caroline & Spycher, Thomas, 2017. "Culture and Financial Literacy," Working Papers on Finance 1703, University of St. Gallen, School of Finance.
    29. Strittmatter, Anthony, 2019. "Heterogeneous earnings effects of the job corps by gender: A translated quantile approach," Labour Economics, Elsevier, vol. 61(C).
    30. Tromp, Nikolas & Kwak, Juwon, 2022. "Graduating to a gender wage gap in South Korea," Journal of Asian Economics, Elsevier, vol. 78(C).

  44. Huber, Martin & Mellace, Giovanni & Lechner, Michael, 2014. "Why do tougher caseworkers increase employment? The role of programme assignment as a causal mechanism," Economics Working Paper Series 1414, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    2. N. N., 2017. "WIFO-Monatsberichte, Heft 6/2017," WIFO Monatsberichte (monthly reports), WIFO, vol. 90(6), June.
    3. Amelie Schiprowski, 2020. "The Role of Caseworkers in Unemployment Insurance: Evidence From Unplanned Absences," CRC TR 224 Discussion Paper Series crctr224_2020_165, University of Bonn and University of Mannheim, Germany.
    4. Lechner, Michael & Knaus, Michael C. & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," CEPR Discussion Papers 13402, C.E.P.R. Discussion Papers.
    5. Vikström, Johan & Söderström, Martin & Cederlöf, Jonas, 2021. "What makes a good caseworker?," Working Paper Series 2021:9, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," IZA Discussion Papers 10961, Institute of Labor Economics (IZA).
    7. Lechner, Michael & Huber, Martin & Strittmatter, Anthony, 2015. "Direct and indirect effects of training vouchers for the unemployed," CEPR Discussion Papers 10650, C.E.P.R. Discussion Papers.
    8. Prifti, Ervin & Daidone, Silvio & Davis, Benjamin, 2019. "Causal pathways of the productive impacts of cash transfers: Experimental evidence from Lesotho," World Development, Elsevier, vol. 115(C), pages 258-268.
    9. Ville Vehkasalo, 2020. "Effects of face-to-face counselling on unemployment rate and duration: evidence from a Public Employment Service reform," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-14, December.
    10. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    11. Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
    12. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, Institute of Labor Economics (IZA).
    13. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
    14. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    15. David G. Lugo‐Palacios & Jonathan M. Clarke & Søren Rud Kristensen, 2023. "Back to basics: A mediation analysis approach to addressing the fundamental questions of integrated care evaluations," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2080-2097, September.
    16. Huber, Martin & Solovyeva, Anna, 2018. "On the sensitivity of wage gap decompositions," FSES Working Papers 497, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    17. Joachim Wilde, 2022. "What drives trust of the long‐term unemployed in their caseworkers?," LABOUR, CEIS, vol. 36(2), pages 231-250, June.
    18. Huber, Martin & Schelker, Mark & Strittmatter, Anthony, 2019. "Direct and Indirect Effects based on Changes-in- Changes," FSES Working Papers 508, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    19. Martin Huber & Michael Lechner & Giovanni Mellace, 2016. "The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
    20. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    21. Farbmacher, Helmut & Huber, Martin & Langen, Henrika & Spindler, Martin, 2020. "Causal mediation analysis with double machine learning," FSES Working Papers 515, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    22. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    23. Huber, Martin & Laffers, Lukáš, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," FSES Working Papers 514, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    24. Ulrike Huemer & Rainer Eppel & Marion Kogler & Helmut Mahringer & Lukas Schmoigl & David Pichler, 2021. "Effektivität von Instrumenten der aktiven Arbeitsmarktpolitik in unterschiedlichen Konjunkturphasen," WIFO Studies, WIFO, number 67250, April.
    25. Steinmayr, Andreas, 2014. "When a random sample is not random: Bounds on the effect of migration on household members left behind," Kiel Working Papers 1975, Kiel Institute for the World Economy (IfW Kiel).
    26. Rainer Eppel & Helmut Mahringer & Petra Sauer, 2017. "Österreich 2025 – Arbeitslosigkeit und die Rolle der aktiven Arbeitsmarktpolitik," WIFO Monatsberichte (monthly reports), WIFO, vol. 90(6), pages 493-505, June.

  45. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The effect of firms' partial retirement policies on the labour market outcomes of their employees," Working papers 2013/12, Faculty of Business and Economics - University of Basel.

    Cited by:

    1. Börsch-Supan, A. & Härtl, K. & Leite, D.N., 2016. "Social Security and Public Insurance," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 781-863, Elsevier.
    2. Camacho, Carmen & Mariani, Fabio & Pensieroso, Luca, 2015. "Illegal Immigration and the Shadow Economy," IZA Discussion Papers 9545, Institute of Labor Economics (IZA).
    3. Börsch-Supan, Axel & Härtl, Klaus & Leite, Duarte Nuno & Ludwig, Alexander, 2018. "Endogenous Retirement Behavior of Heterogeneous Households Under Pension Reforms," MEA discussion paper series 201804, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    4. Peter Berg & Mary K. Hamman & Matthew Piszczek & Christopher J. Ruhm, 2015. "Can Policy Facilitate Partial Retirement? Evidence from Germany," NBER Working Papers 21478, National Bureau of Economic Research, Inc.
    5. Muriel Dejemeppe & Catherine Smith & Bruno der Linden, 2015. "Did the Intergenerational Solidarity Pact increase the employment rate of older workers in Belgium? A macro-econometric evaluation," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-23, December.
    6. Börsch-Supan, Axel & Härtl, Klaus & Leite, Duarte N., 2018. "Earnings test, non-actuarial adjustments and flexible retirement," Economics Letters, Elsevier, vol. 173(C), pages 78-83.
    7. Börsch-Supan, Axel & Bucher-Koenen, Tabea & Kluth, Sebastian & Haupt, Marlene & Goll, Nicolas, 2015. "Vor- und Nachteile höherer Flexibilität als Instrument zur Erhöhung der Beschäftigung Älterer," MEA discussion paper series 201506, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    8. Songül Tolan, 2015. "Die Flexibilisierung des Rentenübergangs in Deutschland," DIW Roundup: Politik im Fokus 82, DIW Berlin, German Institute for Economic Research.

  46. Huber, Martin, 2013. "A simple test for the ignorability of non-compliance in experiments," Economics Working Paper Series 1312, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Tarek Azzam & Michael Bates & David Fairris, 2020. "Do Learning Communities Increase First Year College Retention? Testing Sample Selection and External Validity of Randomized Control Trials," Working Papers 202022, University of California at Riverside, Department of Economics, revised Jul 2020.
    2. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
    4. Azzam, Tarek & Bates, Michael D. & Fairris, David, 2022. "Do learning communities increase first year college retention? Evidence from a randomized control trial," Economics of Education Review, Elsevier, vol. 89(C).
    5. Amanda E. Kowalski, 2018. "Behavior within a Clinical Trial and Implications for Mammography Guidelines," NBER Working Papers 25049, National Bureau of Economic Research, Inc.
    6. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
    7. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    8. Martin Huber & Jannis Kueck, 2022. "Testing the identification of causal effects in observational data," Papers 2203.15890, arXiv.org, revised Jun 2023.
    9. Khalil, Umair & Yıldız, Neşe, 2022. "A test of the selection on observables assumption using a discontinuously distributed covariate," Journal of Econometrics, Elsevier, vol. 226(2), pages 423-450.

  47. Huber, Martin, 2012. "Statistical verification of a natural "natural experiment": Tests and sensitivity checks for the sibling sex ratio instrument," Economics Working Paper Series 1219, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Angelov, Nikolay & Karimi, Arizo, 2012. "Mothers’ income recovery after childbearing," Working Paper Series 2012:20, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    2. Iva Trako, 2018. "Fertility and Parental Labor-Force Participation: New Evidence from a Developing Country in the Balkans," PSE Working Papers halshs-01828471, HAL.
    3. Clément de Chaisemartin, 2017. "Tolerating defiance? Local average treatment effects without monotonicity," Quantitative Economics, Econometric Society, vol. 8(2), pages 367-396, July.
    4. Iva Trako, 2018. "Fertility and Parental Labor-Force Participation: New Evidence from a Developing Country in the Balkans," Working Papers halshs-01828471, HAL.

  48. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.

    Cited by:

    1. Chlond, Bettina & Gavard, Claire & Jeuck, Lisa, 2021. "Supporting residential energy conservation under constrained public budget: Cost-effectiveness and redistribution analysis of public financial schemes in France," ZEW Discussion Papers 21-056, ZEW - Leibniz Centre for European Economic Research.
    2. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    3. Martin Huber & Michael Lechner & Giovanni Mellace, 2017. "Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 180-183, March.
    4. Bettina Chlond & Claire Gavard & Lisa Jeuck, 2023. "How to Support Residential Energy Conservation Cost-Effectively? An analysis of Public Financial Schemes in France," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 29-63, May.
    5. Frank Nagle, 2019. "Open Source Software and Firm Productivity," Management Science, INFORMS, vol. 65(3), pages 1191-1215, March.
    6. Martin Huber, 2015. "Causal Pitfalls in the Decomposition of Wage Gaps," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 179-191, April.
    7. Mellace, Giovanni & Pasquini, Alessandra, 2019. "Identify More, Observe Less: Mediation Analysis: Mediation Analysis Synthetic Control," Discussion Papers on Economics 12/2019, University of Southern Denmark, Department of Economics.
    8. Hofer, Katharina E., 2015. "Does Female Suffrage Increase Public Support for Government Spending? Evidence from Swiss Ballots," Economics Working Paper Series 1502, University of St. Gallen, School of Economics and Political Science.
    9. Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," FSES Working Papers 453, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    10. Martin Huber & Michael Lechner & Giovanni Mellace, 2016. "The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
    11. Giovanni Mellace & Alessandra Pasquini, 2019. "Identify More, Observe Less: Mediation Analysis Synthetic Control," CEIS Research Paper 474, Tor Vergata University, CEIS, revised 20 Nov 2019.

  49. Huber, Martin & Mellace, Giovanni, 2012. "Relaxing monotonicity in the identification of local average treatment effects," Economics Working Paper Series 1212, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Will Dobbie & Jae Song, 2014. "Debt Relief and Debtor Outcomes: Measuring the Effects of Consumer Bankruptcy Protection," NBER Working Papers 20520, National Bureau of Economic Research, Inc.
    2. Clément de Chaisemartin, 2017. "Tolerating defiance? Local average treatment effects without monotonicity," Quantitative Economics, Econometric Society, vol. 8(2), pages 367-396, July.
    3. Clément de Chaisemartin & Xavier d'Haultfoeuille, 2012. "Late Again with Defiers," Working Papers halshs-00699646, HAL.
    4. Fiorini, Mario & Katrien Stevens, 2014. "Assessing the Monotonicity Assumption in IV and fuzzy RD designs," Working Papers 2014-13, University of Sydney, School of Economics.

  50. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Cabane, Charlotte & Hille, Adrian & Lechner, Michael, 2015. "Mozart or Pelé? The Effects of Teenagers' Participation in Music and Sports," IZA Discussion Papers 8987, Institute of Labor Economics (IZA).
    2. Hanrui Zeng & Terence Tai-Leung Chong, 2018. "Does studying in Hong Kong affect the ideological preferences of Chinese mainland undergraduates?," Economic and Political Studies, Taylor & Francis Journals, vol. 6(4), pages 431-444, October.
    3. Michael C. Knaus & Steffen Otterbach, 2016. "Work Hour Mismatch and Job Mobility: Adjustment Channels and Resolution Rates," SOEPpapers on Multidisciplinary Panel Data Research 825, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Olaf Hübler, 2019. "The Role of Body Weight for Health, Earnings, and Life Satisfaction," SOEPpapers on Multidisciplinary Panel Data Research 1024, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Felfe, Christina & Lechner, Michael & Steinmayr, Andreas, 2016. "Sports and Child Development," Munich Reprints in Economics 37862, University of Munich, Department of Economics.
    6. Lutz Bellmann & Marco Caliendo & Stefan Tübbicke, 2018. "The Post‐Reform Effectiveness of the New German Start‐Up Subsidy for the Unemployed," LABOUR, CEIS, vol. 32(3), pages 293-319, September.
    7. Romain Gauriot Author e-mail: romain.gauriot@nyu.edu & Lionel Page Author e-mail: lionel.page@uts.edu.au, 2021. "How Market Prices React to Information: Evidence from Binary Options Markets," Working Papers 20200058, New York University Abu Dhabi, Department of Social Science, revised Oct 2021.
    8. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2019. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed," Economics Working Paper Series 1910, University of St. Gallen, School of Economics and Political Science.
    9. Lechner, Michael & Sari, Nazmi, 2014. "Labor market effects of sports and exercise: Evidence from Canadian panel data," Economics Working Paper Series 1402, University of St. Gallen, School of Economics and Political Science.
    10. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    11. Pawlowski, Tim & Steckenleiter, Carina & Wallrafen, Tim & Lechner, Michael, 2019. "Individual labor market effects of local public expenditures on sports," Economics Working Paper Series 1906, University of St. Gallen, School of Economics and Political Science.
    12. Pawlowski, Tim & Schüttoff, Ute & Downward, Paul & Lechner, Michael, 2014. "Sport participation and Child Development in Less Developed Countries," Economics Working Paper Series 1433, University of St. Gallen, School of Economics and Political Science.
    13. Hille, Adrian & Schupp, Jürgen, 2015. "How learning a musical instrument affects the development of skills," Economics of Education Review, Elsevier, vol. 44(C), pages 56-82.
    14. Hübler Olaf, 2020. "The Gender-specific Role of Body Weight for Health, Earnings and Life Satisfaction in Piecewise and Simultaneous Equations Models," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(5), pages 653-676, October.
    15. Tobias Brändle & Lukas Fervers, 2017. "Give it Another Try: What are the Effects of a Public Employment Scheme Especially Designed for Hard-to-Place Workers?," IAW Discussion Papers 129, Institut für Angewandte Wirtschaftsforschung (IAW).
    16. Judit Krekó & Balázs Munkácsy & Márton Csillag & Ágota Scharle, 2022. "A job trial subsidy for youth:cheap labour or a screening device?," CERS-IE WORKING PAPERS 2222, Institute of Economics, Centre for Economic and Regional Studies.
    17. Badruddoza, Syed & Amin, Modhurima Dey, 2023. "Impacts of Teaching Modality on U.S. COVID-19 Spread in Fall 2020 Semester," Applied Economics Teaching Resources (AETR), Agricultural and Applied Economics Association, vol. 5(1), January.
    18. Lechner, Michael & Strittmatter, Anthony, 2017. "Practical Procedures to Deal with Common Support Problems in Matching Estimation," IZA Discussion Papers 10532, Institute of Labor Economics (IZA).
    19. Gerhard Krug, 2017. "Augmenting propensity score equations to avoid misspecification bias – Evidence from a Monte Carlo simulation [Erweiterung der Propensity Score Gleichung zur Vermeidung von Fehlspezifikationen? Ein," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 11(3), pages 205-231, December.
    20. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    21. Iqbal, Hamzah & Krumer, Alex, 2017. "Discouragement Effect and Intermediate Prizes in Multi-Stage Contests: Evidence from Tennis’s Davis Cup," Economics Working Paper Series 1719, University of St. Gallen, School of Economics and Political Science.
    22. Schmidl, Ricarda, 2015. "The Effectiveness of Early Vacancy Information in the Presence of Monitoring and ALMP," IZA Discussion Papers 9575, Institute of Labor Economics (IZA).
    23. Gorman, Emma & Walker, Ian, 2020. "Heterogeneous Effects of Missing out on a Place at a Preferred Secondary School in England," IZA Discussion Papers 13167, Institute of Labor Economics (IZA).
    24. Lechner, Michael & Hille, Adrian & Cabane, Charlotte, 2015. "Mozart or Pelé? The effects of teenagers? participation in music and sports," CEPR Discussion Papers 10556, C.E.P.R. Discussion Papers.
    25. Zeno Enders & Franziska Hünnekes & Gernot Müller, 2019. "Firm expectations and economic activity," CESifo Working Paper Series 7623, CESifo.
    26. Tim Pawlowski & Ute Schüttoff & Paul Downward & Michael Lechner, 2018. "Can Sport Really Help to Meet the Millennium Development Goals? Evidence From Children in Peru," Journal of Sports Economics, , vol. 19(4), pages 498-521, May.
    27. Juan S. MUNOZ-MORALES & Ruchi SINGH, 2021. "Do School Shootings Erode Property Values?," Working Papers 2021-iFlame-01, IESEG School of Management.
    28. Delius, Antonia & Sterck, Olivier, 2024. "Cash transfers and micro-enterprise performance: Theory and quasi-experimental evidence from Kenya," Journal of Development Economics, Elsevier, vol. 167(C).
    29. Uehleke, Reinhard & Petrick, Martin & Hüttel, Silke, 2022. "Evaluations of agri-environmental schemes based on observational farm data: The importance of covariate selection," Land Use Policy, Elsevier, vol. 114(C).
    30. Adrian Hille, 2015. "How a Universal Music Education Program Affects Time Use, Behavior, and School Attitude," SOEPpapers on Multidisciplinary Panel Data Research 810, DIW Berlin, The German Socio-Economic Panel (SOEP).
    31. Caliendo, Marco & Künn, Steffen & Weißenberger, Martin, 2016. "Personality Traits and the Evaluation of Start-Up Subsidies," IZA Discussion Papers 9628, Institute of Labor Economics (IZA).
    32. Brändle, Tobias & Fervers, Lukas, 2018. "Give it Another Try: What are the Effects of a Job Creation Scheme Especially Designed for Hard-to-Place Workers?," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181536, Verein für Socialpolitik / German Economic Association.
    33. Felix Ehrenfried & Christian Holzner, 2018. "Dynamics and Endogeneity of Firms' Recruitment Behaviour," CESifo Working Paper Series 7283, CESifo.
    34. Michael Lechner & Paul Downward, 2017. "Heterogeneous sports participation and labour market outcomes in England," Applied Economics, Taylor & Francis Journals, vol. 49(4), pages 335-348, January.
    35. Doerr, Annabelle, 2017. "Back to work: The long-term effects of vocational training for female job returners," Freiburg Discussion Papers on Constitutional Economics 17/02, Walter Eucken Institut e.V..
    36. Hagen, Tobias, 2016. "Econometric evaluation of a placement coaching program for recipients of disability insurance benefits in Switzerland," Working Paper Series 10, Frankfurt University of Applied Sciences, Faculty of Business and Law.
    37. M. Deidda & A. Di Liberto & M. Foddi & G. Sulis, 2012. "Employment Subsidies, Informal Economy and Women's Transition into Work in a Depressed Area: Evidence from a Matching Approach," Working Paper CRENoS 201216, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    38. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2016. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," IZA Discussion Papers 9706, Institute of Labor Economics (IZA).
    39. Cannas, Massimo & Puggioni, Gavino, 2017. "On the support of matching algorithms," Statistics & Probability Letters, Elsevier, vol. 131(C), pages 72-77.
    40. Marc Höglinger & Brigitte Wirth & Maria Carlander & Cornelia Caviglia & Christian Frei & Birgitta Rhomberg & Adrian Rohrbasser & Maria Trottmann & Klaus Eichler, 2023. "Impact of a diabetes disease management program on guideline-adherent care, hospitalization risk and health care costs: a propensity score matching study using real-world data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(3), pages 469-478, April.
    41. Kenza Benhima & Omar Chafik & Min Fang & Wenxia Tang, 2022. "Short-term Finance, Long-term Effects: Theory and Evidence from Morocco," Working Papers 002003, University of Florida, Department of Economics.
    42. Julien, Jacques C. & Bravo-Ureta, Boris E. & Rada, Nicholas E., 2023. "Gender and agricultural Productivity: Econometric evidence from Malawi, Tanzania, and Uganda," World Development, Elsevier, vol. 171(C).
    43. Estifanos, Tafesse Kefyalew & Polyakov, Maksym & Pandit, Ram & Hailu, Atakelty & Burton, Michael, 2020. "The impact of protected areas on the rural households’ incomes in Ethiopia," Land Use Policy, Elsevier, vol. 91(C).
    44. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    45. Gasmi, Farid & Kouakou, Dorgyles & Sanni, Maruf, 2022. "The effect of firm informality on sustainable and responsible innovation in developing countries: Evidence from Nigeria," TSE Working Papers 22-1368, Toulouse School of Economics (TSE).
    46. Pawlowski, Tim & Schüttoff, Ute & Downward, Paul & Lechner, Michael, 2014. "Children’s skill formation in less developed countries – The impact of sports participation," Economics Working Paper Series 1412, University of St. Gallen, School of Economics and Political Science.
    47. Tübbicke, Stefan, 2023. "How sensitive are matching estimates of active labor market policy effects to typically unobserved confounders?," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-26.
    48. Cohen-Zada, Danny & Krumer, Alex & Shapir, Offer Moshe, 2018. "Testing the effect of serve order in tennis tiebreak," Journal of Economic Behavior & Organization, Elsevier, vol. 146(C), pages 106-115.
    49. Michael Zimmert, 2018. "The Finite Sample Performance of Treatment Effects Estimators based on the Lasso," Papers 1805.05067, arXiv.org.
    50. Goller, Daniel & Krumer, Alex, 2019. "Let’s meet as usual: Do games on non-frequent days differ? Evidence from top European soccer leagues," Economics Working Paper Series 1907, University of St. Gallen, School of Economics and Political Science.
    51. Denisova-Schmidt, Elena & Huber, Martin, 2014. "Regional Differences in Perceived Corruption among Ukrainian Firms," Economics Working Paper Series 1407, University of St. Gallen, School of Economics and Political Science.
    52. Inha Oh & Dongnyok Shim, 2020. "IT Adoption and Sustainable Growth of Firms in Different Industries—Are the Benefits Still Expected?," Sustainability, MDPI, vol. 12(22), pages 1-29, November.
    53. Kongstad, L.P. & Mellace, G. & Olsen, K.R., 2016. "Can the use of Electronic Health Records in General Practice reduce hospitalizations for diabetes patients? Evidence from a natural experiment," Health, Econometrics and Data Group (HEDG) Working Papers 16/25, HEDG, c/o Department of Economics, University of York.
    54. Ondřej Dvouletý & Ivana Blažková, 2019. "The Impact of Public Grants on Firm-Level Productivity: Findings from the Czech Food Industry," Sustainability, MDPI, vol. 11(2), pages 1-24, January.
    55. Iqbal, Hamzah & Krumer, Alex, 2019. "Discouragement effect and intermediate prizes in multi-stage contests: Evidence from Davis Cup," European Economic Review, Elsevier, vol. 118(C), pages 364-381.
    56. Marco Caliendo & Stefan Tübbicke, 2019. "Do Start-Up Subsidies for the Unemployed Affect Participants’ Well-Being? A Rigorous Look at (Un-)Intended Consequences of Labor Market Policies," CEPA Discussion Papers 14, Center for Economic Policy Analysis.
    57. Dvouletý Ondřej & Čadil Jan & Mirošník Karel, 2019. "Do Firms Supported by Credit Guarantee Schemes Report Better Financial Results 2 Years After the End of Intervention?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(1), pages 1-20, January.
    58. Lukas Fervers, 2016. "Fast track to the labour market or highway to hell? The effect of activation policies on quantity and quality of labour market integration," IAW Discussion Papers 125, Institut für Angewandte Wirtschaftsforschung (IAW).
    59. Christian Hopp & Francis J. Greene & Benson Honig & Tomas Karlsson & Mikael Samuelsson, 2018. "Revisiting the influence of institutional forces on the written business plan: a replication study," Management Review Quarterly, Springer, vol. 68(4), pages 361-398, November.
    60. Cohen-Zada, Danny & Krumer, Alex & Shapir, Offer Moshe, 2017. "Take a Chance on ABBA," IZA Discussion Papers 10878, Institute of Labor Economics (IZA).
    61. Goller, Daniel & Krumer, Alex, 2020. "Let's meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues," European Journal of Operational Research, Elsevier, vol. 286(2), pages 740-754.
    62. Hagen, Tobias, 2016. "Econometric Evaluation of a Placement Coaching Program for Recipients of Disability Insurance Benefits in Switzerland," VfS Annual Conference 2016 (Augsburg): Demographic Change 145736, Verein für Socialpolitik / German Economic Association.

  51. Huber, Martin & Melly, Blaise, 2011. "Quantile Regression in the Presence of Sample Selection," Economics Working Paper Series 1109, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Aysit Tansel & Halil Ibrahim Keskin & Zeynel Abidin Ozdemir, 2018. "Public Versus Private Sector Wage Gap in Egypt: Evidence from Quantile Regression on Panel Data," Working Papers 1265, Economic Research Forum, revised 10 Dec 2018.
    2. Martin Huber & Giovanni Mellace, 2015. "Sharp Bounds on Causal Effects under Sample Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 129-151, February.
    3. Olivier Bargain & Prudence Kwenda, 2013. "The Informal Sector Wage Gap: New Evidence using Quantile Estimations on Panel Data," Working Papers halshs-00967324, HAL.
    4. Schwiebert, Jörg, 2012. "Semiparametric Estimation of a Sample Selection Model in the Presence of Endogeneity," Hannover Economic Papers (HEP) dp-504, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. VAN KERM Philippe, 2009. "Generalized measures of wage differentials," IRISS Working Paper Series 2009-08, IRISS at CEPS/INSTEAD.
    6. Christopoulou, Rebekka & Monastiriotis, Vassilis, 2016. "Public-private wage duality during the Greek crisis," LSE Research Online Documents on Economics 62743, London School of Economics and Political Science, LSE Library.
    7. Philippe Van Kerm & Seunghee Yu & Chung Choe, 2016. "Decomposing quantile wage gaps: a conditional likelihood approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(4), pages 507-527, August.
    8. Ekaterina Selezneva & Philippe Van Kerm, 2013. "Inequality-adjusted gender wage differentials in Germany," Working Papers 334, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    9. DOORLEY Karina & SIERMINSKA Eva, 2011. "Beauty and the beast in the labor market: Evidence from a distribution regression approach," LISER Working Paper Series 2011-62, Luxembourg Institute of Socio-Economic Research (LISER).
    10. Ekaterina Selezneva & Philippe Van Kerm, 2016. "A distribution-sensitive examination of the gender wage gap in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 21-40, March.
    11. Stefan Hoderlein & Bettina Siflinger & Joachim Winter, 2015. "Identification of structural models in the presence of measurement error due to rounding in survey responses," Boston College Working Papers in Economics 869, Boston College Department of Economics.
    12. Christofides, Louis N. & Polycarpou, Alexandros & Vrachimis, Konstantinos, 2013. "Gender wage gaps, ‘sticky floors’ and ‘glass ceilings’ in Europe," Labour Economics, Elsevier, vol. 21(C), pages 86-102.
    13. Bargain, Olivier & Doorley, Karina & Van Kerm, Philippe, 2018. "Minimum Wages and the Gender Gap in Pay: New Evidence from the UK and Ireland," IZA Discussion Papers 11502, Institute of Labor Economics (IZA).
    14. Zheng Fang & Chris Sakellariou, 2015. "Glass Ceilings versus Sticky Floors: Evidence from Southeast Asia and an International Update," Asian Economic Journal, East Asian Economic Association, vol. 29(3), pages 215-242, September.
    15. Rebekka Christopoulou & Vassilis Monastiriotis, 2014. "The Greek Public Sector Wage Premium before the Crisis: Size, Selection and Relative Valuation of Characteristics," British Journal of Industrial Relations, London School of Economics, vol. 52(3), pages 579-602, September.

  52. Huber, Martin & Mellace, Giovanni, 2011. "Sharp bounds on causal effects under sample selection," Economics Working Paper Series 1134, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Huber, Martin & Melly, Blaise, 2011. "Quantile Regression in the Presence of Sample Selection," Economics Working Paper Series 1109, University of St. Gallen, School of Economics and Political Science.
    2. Phillip Heiler, 2022. "Heterogeneous Treatment Effect Bounds under Sample Selection with an Application to the Effects of Social Media on Political Polarization," Papers 2209.04329, arXiv.org, revised Jan 2024.
    3. Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023. "Identifying marginal treatment effects in the presence of sample selection," Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.
    4. Blanco, German & Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2018. "Bounds on Average and Quantile Treatment Effects on Duration Outcomes under Censoring, Selection, and Noncompliance," GLO Discussion Paper Series 288, Global Labor Organization (GLO).
    5. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    6. Lutz Depenbusch & Pepijn Schreinemachers & Stuart Brown & Ralph Roothaert, 2022. "Impact and distributional effects of a home garden and nutrition intervention in Cambodia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(4), pages 865-881, August.
    7. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    8. Martin Huber & Giovanni Mellace, 2010. "Sharp IV bounds on average treatment effects under endogeneity and noncompliance," University of St. Gallen Department of Economics working paper series 2010 2010-31, Department of Economics, University of St. Gallen.
    9. Daniel Brüggmann, 2020. "Women’s employment, income and divorce in West Germany: a causal approach," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-22, December.

  53. Huber, Martin & Mellace, Giovanni, 2011. "Testing instrument validity for LATE identification based on inequality moment constraints," Economics Working Paper Series 1143, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Ismael Mourifie & Yuanyuan Wan, 2014. "Testing Local Average Treatment Effect Assumptions," Working Papers tecipa-514, University of Toronto, Department of Economics.
    2. Thomas Carr & Toru Kitagawa, 2021. "Testing Instrument Validity with Covariates," Papers 2112.08092, arXiv.org, revised Sep 2023.
    3. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    4. Patrick Kline & Christopher R. Walters, 2017. "On Heckits, LATE, and Numerical Equivalence," Papers 1706.05982, arXiv.org, revised Oct 2018.
    5. Santiago Acerenza & Otávio Bartalotti & Désiré Kédagni, 2023. "Testing identifying assumptions in bivariate probit models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 407-422, April.
    6. Joeri Smits & Jeffrey S. Racine, 2013. "Testing Exclusion Restrictions in Nonseparable Triangular Models," Department of Economics Working Papers 2013-02, McMaster University.
    7. Nadja van 't Hoff, 2023. "Identifying Causal Effects of Nonbinary, Ordered Treatments using Multiple Instrumental Variables," Papers 2311.17575, arXiv.org.
    8. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    9. Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
    10. Felipe González & Luis R. Martínez & María Angélica Bautista & Pablo Muñoz & María Mounu Prem, 2019. "Geography of Dictatorship and Support for Democracy," Working Papers ClioLab 28, EH Clio Lab. Instituto de Economía. Pontificia Universidad Católica de Chile.
    11. Martin Huber & Giovanni Mellace, 2014. "Testing exclusion restrictions and additive separability in sample selection models," Empirical Economics, Springer, vol. 47(1), pages 75-92, August.
    12. Bolzern, Benjamin & Huber, Martin, 2017. "Testing the validity of the compulsory schooling law instrument," Economics Letters, Elsevier, vol. 159(C), pages 23-27.
    13. Fiorini, Mario & Stevens, Katrien, 2021. "Scrutinizing the Monotonicity Assumption in IV and fuzzy RD designs," Working Papers 2021-01, University of Sydney, School of Economics.
    14. Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
    15. Salm, Martin & Siflinger, Bettina & Xie, Mingjia, 2021. "The Effect of Retirement on Mental Health: Indirect Treatment Effects and Causal Mediation," Other publications TiSEM e28efa7f-8219-437c-a26d-2, Tilburg University, School of Economics and Management.
    16. Markus Frölich & Martin Huber, 2014. "Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1697-1711, December.
    17. Christina Felfe & Martin Huber, 2017. "Does preschool boost the development of minority children?: the case of Roma children," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 475-502, February.
    18. Eduardo Fé, 2021. "Pension eligibility rules and the local causal effect of retirement on cognitive functioning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 812-841, July.
    19. Carmen Aina & Daniela Sonedda, 2022. "Sooner or later? The impact of child education on household consumption," Empirical Economics, Springer, vol. 63(4), pages 2071-2099, October.
    20. Toru Kitagawa, 2013. "A bootstrap test for instrument validity in heterogeneous treatment effect models," CeMMAP working papers CWP53/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Patrick Kline & Christopher R. Walters, 2016. "Evaluating Public Programs with Close Substitutes: The Case of HeadStart," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1795-1848.
    22. Joshua Angrist, 2022. "Empirical Strategies in Economics: Illuminating the Path from Cause to Effect," NBER Working Papers 29726, National Bureau of Economic Research, Inc.
    23. Tymon Sloczynski & Derya Uysal & Jeffrey Wooldridge, 2023. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Rationality and Competition Discussion Paper Series 424, CRC TRR 190 Rationality and Competition.
    24. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
    25. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
    26. Sarnetzki, Florian & Dzemski, Andreas, 2014. "Overidentification test in a nonparametric treatment model with unobserved heterogeneity," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100620, Verein für Socialpolitik / German Economic Association.
    27. Hussain, M. Azhar & Siersbæk, Nikolaj & Østerdal, Lars Peter, 2017. "Multidimensional Welfare Comparisons of EU Member States Before, During, and After the Financial Crisis: A Dominance Approach," Discussion Papers on Economics 10/2017, University of Southern Denmark, Department of Economics.
    28. Brigham Frandsen & Lars Lefgren & Emily Leslie, 2023. "Judging Judge Fixed Effects," American Economic Review, American Economic Association, vol. 113(1), pages 253-277, January.
    29. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    30. Yu-Chin Hsu & Ji-Liang Shiu & Yuanyuan Wan, 2023. "Testing Identification Conditions of LATE in Fuzzy Regression Discontinuity Designs," Working Papers tecipa-761, University of Toronto, Department of Economics.
    31. Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2017. "Using Instrumental Variables for Inference about Policy Relevant Treatment Effects," NBER Working Papers 23568, National Bureau of Economic Research, Inc.
    32. Xintong Wang & Alfonso Flores-Lagunes, 2022. "Conscription and Military Service: Do They Result in Future Violent and Nonviolent Incarcerations and Recidivism?," Journal of Human Resources, University of Wisconsin Press, vol. 57(5), pages 1715-1757.
    33. Lukas Laffers & Giovanni Mellace, 2017. "A note on testing instrument validity for the identification of LATE," Empirical Economics, Springer, vol. 53(3), pages 1281-1286, November.
    34. Dionissi Aliprantis & Francisca G.-C. Richter, 2020. "Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 633-647, October.
    35. Christian M Dahl & Martin Huber & Giovanni Mellace, 2023. "It is never too LATE: a new look at local average treatment effects with or without defiers," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 378-404.
    36. Martin E Andresen & Martin Huber, 2021. "Instrument-based estimation with binarised treatments: issues and tests for the exclusion restriction," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 536-558.
    37. Linbo Wang & James M. Robins & Thomas S. Richardson, 2017. "On falsification of the binary instrumental variable model," Biometrika, Biometrika Trust, vol. 104(1), pages 229-236.
    38. Kedagni, Desire, 2018. "Identifying Treatment Effects in the Presence of Confounded Types," ISU General Staff Papers 201809110700001056, Iowa State University, Department of Economics.
    39. Darío Tortarolo, 2014. "Female Labor Supply and Fertility. Causal Evidence for Latin America," CEDLAS, Working Papers 0166, CEDLAS, Universidad Nacional de La Plata.
    40. Hongyi Jiang & Zhenting Sun, 2023. "Testing Partial Instrument Monotonicity," Papers 2308.08390, arXiv.org, revised Aug 2023.
    41. James Bisbee & Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2015. "Local Instruments, Global Extrapolation: External Validity of the Labor Supply-Fertility Local Average Treatment Effect," NBER Working Papers 21663, National Bureau of Economic Research, Inc.
    42. Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Papers 2204.07672, arXiv.org, revised Feb 2024.
    43. Rui Wang, 2023. "Point Identification of LATE with Two Imperfect Instruments," Papers 2303.13795, arXiv.org.
    44. Julia Schmieder, 2020. "Fertility as a Driver of Maternal Employment," Discussion Papers of DIW Berlin 1882, DIW Berlin, German Institute for Economic Research.
    45. Jan Priebe, 2020. "Quasi-experimental evidence for the causal link between fertility and subjective well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 839-882, July.
    46. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    47. Tymon Sloczynski & S. Derya Uysal & Jeffrey M. Wooldridge & Derya Uysal, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," CESifo Working Paper Series 9715, CESifo.
    48. Machado, Cecilia & Shaikh, Azeem M. & Vytlacil, Edward J., 2019. "Instrumental variables and the sign of the average treatment effect," Journal of Econometrics, Elsevier, vol. 212(2), pages 522-555.
    49. Evan K. Rose & Yotam Shem-Tov, 2021. "On Recoding Ordered Treatments as Binary Indicators," Papers 2111.12258, arXiv.org, revised Mar 2024.
    50. Hofmarcher, Thomas, 2021. "The effect of education on poverty: A European perspective," Economics of Education Review, Elsevier, vol. 83(C).
    51. Brunello, Giorgio & Fort, Margherita & Weber, Guglielmo & Weiss, Christoph T., 2013. "Testing the Internal Validity of Compulsory School Reforms as Instrument for Years of Schooling," IZA Discussion Papers 7533, Institute of Labor Economics (IZA).
    52. Huber, Martin & Mellace, Giovanni, 2011. "Testing instrument validity in sample selection models," Economics Working Paper Series 1145, University of St. Gallen, School of Economics and Political Science.
    53. Yinchu Zhu, 2021. "Phase transition of the monotonicity assumption in learning local average treatment effects," Papers 2103.13369, arXiv.org.
    54. Guber, Raphael, 2018. "Instrument Validity Tests with Causal Trees: With an Application to the Same-sex Instrument," MEA discussion paper series 201805, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    55. Zhenting Sun & Kaspar Wuthrich, 2022. "Pairwise Valid Instruments," Papers 2203.08050, arXiv.org, revised Jan 2024.
    56. Francis DiTraglia & Camilo García-Jimeno, 2016. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," NBER Working Papers 22621, National Bureau of Economic Research, Inc.
    57. Kédagni, Désiré, 2023. "Identifying treatment effects in the presence of confounded types," Journal of Econometrics, Elsevier, vol. 234(2), pages 479-511.
    58. Carolina Castagnetti & Luisa Rosti & Marina Töpfer, 2020. "Discriminate me — If you can! The disappearance of the gender pay gap among public‐contest selected employees in Italy," Gender, Work and Organization, Wiley Blackwell, vol. 27(6), pages 1040-1076, November.
    59. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.
    60. Öberg, Stefan, 2021. "The casual effect of fertility: The multiple problems with instrumental variables for the number of children in families," SocArXiv peuvz, Center for Open Science.

  54. Bernhard Boockmann & Stephan L. Thomsen & Thomas Walter & Christian Göbel & Martin Huber, 2010. "Should Welfare Administration be Centralized or Decentralized? Evidence from a Policy Experiment," IAW Discussion Papers 69, Institut für Angewandte Wirtschaftsforschung (IAW).

    Cited by:

    1. Oliver Falck & Siegfried Schönherr, 2016. "An Economic Reform Agenda for Croatia: a comprehensive economic reform package prepared for the Croatian Statehood Foundation," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 70, October.
    2. Weber, Michael, 2017. "Public employment services under decentralization: Evidence from a natural experiment," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168277, Verein für Socialpolitik / German Economic Association.
    3. Lukas Mergele & Michael Weber & Michael Weber, 2020. "Job Center: Opting Municipalities Are Less Likely to Place the Unemployed in Employment," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(02), pages 39-44, February.
    4. Christian Holzner & Sonja Munz, 2013. "Should local public employment services be merged with local social benefit administrations? [Sollten kommunale Arbeitsvermittlungsagenturen mit der kommunalen Sozialverwaltung fusioniert werden?]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 46(2), pages 83-102, June.
    5. Regina T. Riphahn & Christoph Wunder, 2015. "State Dependence in Welfare Receipt: Transitions before and after a Reform," SOEPpapers on Multidisciplinary Panel Data Research 758, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Ohto Kanninen & Hannu Karhunen & Jeremias Nieminen, 2021. "Behavior and Effectiveness of Decentralized Employment Offices," Working Papers 332, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    7. Michael Weber, 2016. "The short-run and long-run effects of decentralizing public employment services," ifo Working Paper Series 209, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Wolfgang Nagl & Michael Weber, 2016. "Stuck in a trap? Long-term unemployment under two-tier unemployment compensation schemes," ifo Working Paper Series 231, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

  55. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2010. "How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score," IZA Discussion Papers 5268, Institute of Labor Economics (IZA).

    Cited by:

    1. Dolton, Peter & Smith, Jeffrey A., 2011. "The Impact of the UK New Deal for Lone Parents on Benefit Receipt," IZA Discussion Papers 5491, Institute of Labor Economics (IZA).
    2. Felfe, Christina & Lechner, Michael & Steinmayr, Andreas, 2016. "Sports and Child Development," Munich Reprints in Economics 37862, University of Munich, Department of Economics.
    3. Mario Liebensteiner, 2012. "Estimating the Income Gain of Seasonal Labour Migration," WIFO Working Papers 430, WIFO.
    4. Martin Biewen & Bernd Fitzenberger & Aderonke Osikominu & Marie Paul, 2014. "The Effectiveness of Public-Sponsored Training Revisited: The Importance of Data and Methodological Choices," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 837-897.
    5. Daniel L. Millimet & Jayjit Roy, 2011. "Three New Empirical Tests of the Pollution Haven Hypothesis When Environmental Regulation is Endogenous," Working Papers 11-10, Department of Economics, Appalachian State University.
    6. Lechner, Michael & Wunsch, Conny, 2011. "Sensitivity of matching-based program evaluations to the availability of control variables," Economics Working Paper Series 1105, University of St. Gallen, School of Economics and Political Science.
    7. Paweł Strawiński, 2012. "Small sample properties of matching with caliper," Working Papers 2012-13, Faculty of Economic Sciences, University of Warsaw.
    8. Tyrowicz, Joanna & van der Velde, Lucas & Goraus-Tanska, Karolina, 2018. "How (Not) to Make Women Work?," IZA Discussion Papers 11639, Institute of Labor Economics (IZA).
    9. Johannes VAN BIESEBROECK & Emily YU & Shenjie CHEN, 2010. "The impact of trade promotion services on Canadian exporter performance," Working Papers of Department of Economics, Leuven ces10.14, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    10. Paweł Strawiński, 2013. "Controlling for overlap in matching," Working Papers 2013-10, Faculty of Economic Sciences, University of Warsaw.
    11. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    12. L. Behrenz & L. Delander & J. Månsson, 2016. "Is Starting a Business a Sustainable way out of Unemployment? Treatment Effects of the Swedish Start-up Subsidy," Journal of Labor Research, Springer, vol. 37(4), pages 389-411, December.
    13. Bühler, Stefan & Helm, Marco & Lechner, Michael, 2011. "Trade Liberalization and Growth: Plant-Level Evidence from Switzerland," Economics Working Paper Series 1133, University of St. Gallen, School of Economics and Political Science.
    14. Rotger, Gabriel Pons & Gørtz, Mette & Storey, David J., 2012. "Assessing the effectiveness of guided preparation for new venture creation and performance: Theory and practice," Journal of Business Venturing, Elsevier, vol. 27(4), pages 506-521.
    15. Lechner, Michael, 2011. "The Estimation of Causal Effects by Difference-in-Difference Methods," Foundations and Trends(R) in Econometrics, now publishers, vol. 4(3), pages 165-224, November.
    16. Karolina Goraus & Joanna Tyrowicz, 2013. "The Goodwill Effect? Female Access to the Labor Market Over Transition: A Multicountry Analysis," Working Papers 2013-19, Faculty of Economic Sciences, University of Warsaw.
    17. Ferraro, Paul J. & Miranda, Juan José, 2014. "The performance of non-experimental designs in the evaluation of environmental programs: A design-replication study using a large-scale randomized experiment as a benchmark," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 344-365.
    18. Enoch M. Kikulwe & Joseph Lule Kyanjo & Edward Kato & Reuben T. Ssali & Rockefeller Erima & Samuel Mpiira & Walter Ocimati & William Tinzaara & Jerome Kubiriba & Elisabetta Gotor & Dietmar Stoian & El, 2019. "Management of Banana Xanthomonas Wilt: Evidence from Impact of Adoption of Cultural Control Practices in Uganda," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    19. Garbero, A., 2016. "IFAD RESEARCH SERIES 7 - Measuring IFAD’s impact: background paper to the IFAD9 Impact Assessment Initiative," IFAD Research Series 280045, International Fund for Agricultural Development (IFAD).
    20. Dragana Radicic & Geoffrey Pugh, 2017. "R&D Programmes, Policy Mix, and the ‘European Paradox’: Evidence from European SMEs," Science and Public Policy, Oxford University Press, vol. 44(4), pages 497-512.
    21. Caliendo, Marco & Künn, Steffen & Schmidl, Ricarda, 2011. "Fighting Youth Unemployment: The Effects of Active Labor Market Policies," IZA Discussion Papers 6222, Institute of Labor Economics (IZA).
    22. Göbel, Christian & Zwick, Thomas, 2013. "Are personnel measures effective in increasing productivity of old workers?," Labour Economics, Elsevier, vol. 22(C), pages 80-93.

  56. Martin Huber, 2010. "Identification of average treatment effects in social experiments under different forms of attrition," University of St. Gallen Department of Economics working paper series 2010 2010-22, Department of Economics, University of St. Gallen.

    Cited by:

    1. Martin Huber & Giovanni Mellace, 2015. "Sharp Bounds on Causal Effects under Sample Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 129-151, February.
    2. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
    3. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    4. Barbara Sianesi, 2013. "Dealing with randomisation bias in a social experiment exploiting the randomisation itself: the case of ERA," IFS Working Papers W13/15, Institute for Fiscal Studies.

  57. Martin Huber & Giovanni Mellace, 2010. "Sharp IV bounds on average treatment effects under endogeneity and noncompliance," University of St. Gallen Department of Economics working paper series 2010 2010-31, Department of Economics, University of St. Gallen.

    Cited by:

    1. Amanda E. Kowalski, 2016. "Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments," NBER Working Papers 22363, National Bureau of Economic Research, Inc.
    2. Laffers, Lukas & Mellace, Giovanni, 2015. "A Note on Testing the LATE Assumptions," Discussion Papers on Economics 4/2015, University of Southern Denmark, Department of Economics.
    3. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    4. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2017. "Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training," GLO Discussion Paper Series 93, Global Labor Organization (GLO).
    5. Huber, Martin & Mellace, Giovanni, 2012. "Relaxing monotonicity in the identification of local average treatment effects," Economics Working Paper Series 1212, University of St. Gallen, School of Economics and Political Science.
    6. Huber, Martin, 2012. "Statistical verification of a natural "natural experiment": Tests and sensitivity checks for the sibling sex ratio instrument," Economics Working Paper Series 1219, University of St. Gallen, School of Economics and Political Science.
    7. Amanda E. Kowalski, 2016. "Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments for the Young and Privately Insured"," Cowles Foundation Discussion Papers 2045, Cowles Foundation for Research in Economics, Yale University.
    8. Martin Huber & Giovanni Mellace, 2015. "Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 398-411, May.
    9. Murard, Elie, 2019. "The Impact of Migration on Family Left Behind: Estimation in Presence of Intra-Household Selection of Migrants," IZA Discussion Papers 12094, Institute of Labor Economics (IZA).
    10. Steinmayr, Andreas, 2014. "When a random sample is not random: Bounds on the effect of migration on household members left behind," Kiel Working Papers 1975, Kiel Institute for the World Economy (IfW Kiel).

  58. Martin Huber, 2010. "Testing for covariate balance using quantile regression and resampling methods," University of St. Gallen Department of Economics working paper series 2010 2010-18, Department of Economics, University of St. Gallen.

    Cited by:

    1. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    2. Magdalena Smyk & Joanna Tyrowicz & Lucas van der Velde, 2021. "A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator," Sociological Methods & Research, , vol. 50(1), pages 429-464, February.
    3. Martin Huber & Michael Lechner & Conny Wunsch, 2010. "How to control for many covariates? Reliable estimators based on the propensity score," University of St. Gallen Department of Economics working paper series 2010 2010-30, Department of Economics, University of St. Gallen.
    4. Egger, Peter & ,, 2017. "Comparing Apples to Apples: Estimating Consistent Partial Effects of Preferential Economic Integration Agreements," CEPR Discussion Papers 11894, C.E.P.R. Discussion Papers.
    5. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    6. Dehejia Rajeev, 2015. "Experimental and Non-Experimental Methods in Development Economics: A Porous Dialectic," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 47-69, June.

  59. Martin Huber, 2009. "Treatment evaluation in the presence of sample selection," University of St. Gallen Department of Economics working paper series 2009 2009-07, Department of Economics, University of St. Gallen.

    Cited by:

    1. VAN KERM Philippe, 2009. "Generalized measures of wage differentials," IRISS Working Paper Series 2009-08, IRISS at CEPS/INSTEAD.
    2. Gerry H. Makepeace & Michael J. Peel, 2013. "Combining information from Heckman and matching estimators: testing and controlling for hidden bias," Economics Bulletin, AccessEcon, vol. 33(3), pages 2422-2436.
    3. Takeshima, Hiroyuki & Hatzenbuehler, Patrick L. & Edeh, Hyacinth O., 2020. "Effects of agricultural mechanization on economies of scope in crop production in Nigeria," Agricultural Systems, Elsevier, vol. 177(C).
    4. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.
    5. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
    6. Heng Chen & Geoffrey Dunbar & Q. Rallye Shen, 2020. "The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 341-357, Emerald Group Publishing Limited.
    7. James J. Heckman & Ganesh Karapakula, 2019. "Intergenerational and Intragenerational Externalities of the Perry Preschool Project," NBER Working Papers 25889, National Bureau of Economic Research, Inc.
    8. Martin Huber, 2010. "Identification of average treatment effects in social experiments under different forms of attrition," University of St. Gallen Department of Economics working paper series 2010 2010-22, Department of Economics, University of St. Gallen.
    9. Bargain, Olivier & Doorley, Karina & Van Kerm, Philippe, 2018. "Minimum Wages and the Gender Gap in Pay: New Evidence from the UK and Ireland," IZA Discussion Papers 11502, Institute of Labor Economics (IZA).
    10. Akanksha Negi, 2020. "Doubly weighted M-estimation for nonrandom assignment and missing outcomes," Papers 2011.11485, arXiv.org.
    11. Huber, Martin & Laffers, Lukáš, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," FSES Working Papers 514, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    12. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    13. Maasoumi, Esfandiar & Wang, Le, 2017. "What can we learn about the racial gap in the presence of sample selection?," Journal of Econometrics, Elsevier, vol. 199(2), pages 117-130.
    14. Rahul Singh, 2021. "Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection," Papers 2111.05277, arXiv.org.
    15. Jenna Nobles & Amar Hamoudi, 2019. "Detecting the Effects of Early-Life Exposures: Why Fecundity Matters," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(6), pages 783-809, December.

  60. Lechner, Michael & Wunsch, Conny & Huber, Martin, 2009. "Does Leaving Welfare Improve Health? Evidence for Germany," CEPR Discussion Papers 7421, C.E.P.R. Discussion Papers.

    Cited by:

    1. Ivanov, Boris & Pfeiffer, Friedhelm & Pohlan, Laura, 2020. "Do job creation schemes improve the social integration and well-being of the long-term unemployed?," Labour Economics, Elsevier, vol. 64(C).
    2. Eggs, Johannes, 2013. "Unemployment benefit II, unemployment and health," IAB-Discussion Paper 201312, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The effect of firms' partial retirement policies on the labour market outcomes of their employees," Economics Working Paper Series 1316, University of St. Gallen, School of Economics and Political Science.
    4. Schmitz, Hendrik, 2011. "Why are the unemployed in worse health? The causal effect of unemployment on health," Labour Economics, Elsevier, vol. 18(1), pages 71-78, January.
    5. Caliendo, Marco & Mahlstedt, Robert & van den Berg, Gerard & Vikström, Johan, 2020. "Side effects of labor market policies," Working Paper Series 2020:20, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Pei‐An Liao & Hung‐Hao Chang & Yi‐Ju Su, 2020. "Cash transfer program and child underweight—Empirical evidence from a causal mediation analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 291-303, March.
    7. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
    8. Ahammer, Alexander & Grübl, Dominik & Winter-Ebmer, Rudolf, 2021. "The Health Externalities of Downsizing," CINCH Working Paper Series (since 2020) 74533, Duisburg-Essen University Library, DuEPublico.
    9. Israel Escudero-Castillo & Fco. Javier Mato-Díaz & Ana Rodríguez-Alvarez, 2023. "Psychological Well-Being during the COVID-19 Lockdown: Labour Market and Gender Implications," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(1), pages 71-91, February.
    10. Reichert, Arndt R. & Tauchmann, Harald, 2017. "Workforce reduction, subjective job insecurity, and mental health," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 187-212.
    11. Ayala, Luis & Rodríguez, Magdalena, 2013. "Health-related effects of welfare-to-work policies," Social Science & Medicine, Elsevier, vol. 93(C), pages 103-112.
    12. Gebel, Michael & Voßemer, Jonas, 2014. "The impact of employment transitions on health in Germany. A difference-in-differences propensity score matching approach," Social Science & Medicine, Elsevier, vol. 108(C), pages 128-136.
    13. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    14. Remco van Eijkel & Sander Gerritsen & Klarita Sadiraj & Maroesjka Versantvoort, 2021. "The causal effects of employment on mental health and criminality for disabled workers," CPB Discussion Paper 425, CPB Netherlands Bureau for Economic Policy Analysis.
    15. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2014. "Workplace Health Promotion and Labour Market Performance of Employees," IZA Discussion Papers 8297, Institute of Labor Economics (IZA).
    16. Achatz, Juliane & Trappmann, Mark, 2011. "Arbeitsmarktvermittelte Abgänge aus der Grundsicherung : der Einfluss von personen- und haushaltsgebundenen Barrieren," IAB-Discussion Paper 201102, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    18. Ong, Rachel & Nguyen, Toan & Kendall, Garth, 2018. "The impact of intergenerational financial transfers on health and wellbeing outcomes: A longitudinal study," Social Science & Medicine, Elsevier, vol. 214(C), pages 179-186.
    19. Curnock, Esther & Leyland, Alastair H. & Popham, Frank, 2016. "The impact on health of employment and welfare transitions for those receiving out-of-work disability benefits in the UK," Social Science & Medicine, Elsevier, vol. 162(C), pages 1-10.
    20. Reichert, Arndt & Tauchmann, Harald, 2011. "The Causal Impact of Fear of Unemployment on Psychological Health," Ruhr Economic Papers 266, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    21. Devillanova, Carlo & Raitano, Michele & Struffolino, Emanuela, 2019. "Longitudinal employment trajectories and health in middle life: Insights from linked administrative and survey data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 40, pages 1375-1412.
    22. Crost, Benjamin, 2016. "Can workfare programs offset the negative effect of unemployment on subjective well-being?," Economics Letters, Elsevier, vol. 140(C), pages 42-47.
    23. Schiele, Valentin & Schmitz, Hendrik, 2016. "Quantile treatment effects of job loss on health," Journal of Health Economics, Elsevier, vol. 49(C), pages 59-69.

  61. Lechner, Michael & Wunsch, Conny & Huber, Martin & Walter, Thomas, 2009. "Do German Welfare-to-Work Programmes Reduce Welfare and Increase Work?," CEPR Discussion Papers 7238, C.E.P.R. Discussion Papers.

    Cited by:

    1. Bergemann, Annette & Caliendo, Marco & van den Berg, Gerard J. & Zimmermann, Klaus F., 2011. "The Threat Effect of Participation in Active Labor Market Programs on Job Search Behavior of Migrants in Germany," IZA Discussion Papers 5485, Institute of Labor Economics (IZA).
    2. Aldashev, Alisher & Thomsen, Stephan L. & Walter, Thomas, 2010. "Short-term training programs for immigrants: do effects differ from natives and why?," ZEW Discussion Papers 10-021, ZEW - Leibniz Centre for European Economic Research.
    3. Schneider, Hilmar & Uhlendorff, Arne & Zimmermann, Klaus F., 2011. "Ökonometrie vs. Projektdesign: Lehren aus der Evaluation eines Modellprojekts zur Umsetzung des Workfare-Konzepts," IZA Discussion Papers 5599, Institute of Labor Economics (IZA).
    4. Butschek, Sebastian & Walter, Thomas, 2013. "What active labour market programmes work for immigrants in Europe? A meta-analysis of the evaluation literature," ZEW Discussion Papers 13-056, ZEW - Leibniz Centre for European Economic Research.
    5. Zabel, Cordula, 2013. "Effects of participating in skill training and workfare on employment entries for lone mothers receiving means-tested benefits in Germany," IAB-Discussion Paper 201303, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Anne Britt Djuve & Hanne Cecilie Kavli, 2019. "Refugee integration policy the Norwegian way – why good ideas fail and bad ideas prevail," Transfer: European Review of Labour and Research, , vol. 25(1), pages 25-42, February.
    7. Hohendanner Christian, 2011. "Ein-Euro-Jobs und reguläre Beschäftigung / One-Euro-Jobs and Regular Employment: Eine Analyse potenzieller Substitutionseffekte mit Daten des IAB-Betriebspanels / An Analysis of Potential Substitution," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(2), pages 210-246, April.
    8. Haisken-DeNew, John P. & Vorell, Matthias, 2009. "Killing them with Kindness: Negative Distributional Externalities of Increasing UI Benefits," Ruhr Economic Papers 121, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Wolff, Joachim & Hohmeyer, Katrin, 2011. "Direct job creation revisited: Is it effective for welfare recipients and does it matter whether participants receive a wage?," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48722, Verein für Socialpolitik / German Economic Association.
    10. Walter, Thomas & Butschek, Sebastian, 2013. "What Active Labour Market Programmes Work for Immigrants in Europe?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79745, Verein für Socialpolitik / German Economic Association.
    11. Stephan L. Thomsen & Thomas Walter, 2010. "Temporary Extra Jobs for Immigrants: Merging Lane to Employment or Dead‐End Road in Welfare?," LABOUR, CEIS, vol. 24(s1), pages 114-140, December.
    12. Bernhard Boockmann & Stephan Thomsen & Thomas Walter, 2011. "Aktivierung der erwerbsfähigen Hilfebedürftigen mit arbeitsmarktpolitischen Maßnahmen – Wer wird gefördert?," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 4(4), pages 269-292, January.
    13. Reinhard Hujer, 2011. "Mikroökonometrie und Kausalität: Zur Bedeutung arbeitsmarktpolitischer Evaluationsstudien," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(1), pages 5-18, March.

Articles

  1. Martin Huber & Mark Schelker & Anthony Strittmatter, 2022. "Direct and Indirect Effects based on Changes-in-Changes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 432-443, January.
    See citations under working paper version above.
  2. Martin Huber & Lukáš Lafférs, 2022. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," Econometric Reviews, Taylor & Francis Journals, vol. 41(10), pages 1141-1163, November.
    See citations under working paper version above.
  3. Hugo Bodory & Martin Huber & Lukáš Lafférs, 2022. "Evaluating (weighted) dynamic treatment effects by double machine learning [Identification of causal effects using instrumental variables]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 628-648.
    See citations under working paper version above.
  4. Martin Huber & David Imhof & Rieko Ishii, 2022. "Transnational machine learning with screens for flagging bid‐rigging cartels," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1074-1114, July.
    See citations under working paper version above.
  5. Elena Denisova-Schmidt & Martin Huber & Yaroslav Prytula, 2022. "Perceived Anonymity and Cheating in an Online Experiment," Eastern European Economics, Taylor & Francis Journals, vol. 60(6), pages 540-558, November.

    Cited by:

    1. Feess, Eberhard & Schilling, Thomas & Timofeyev, Yuriy, 2023. "Misreporting in teams with individual decision making: The impact of information and communication," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 509-532.

  6. Helmut Farbmacher & Martin Huber & Lukáš Lafférs & Henrika Langen & Martin Spindler, 2022. "Causal mediation analysis with double machine learning [Mediation analysis via potential outcomes models]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 277-300.
    See citations under working paper version above.
  7. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.
    See citations under working paper version above.
  8. Martin E Andresen & Martin Huber, 2021. "Instrument-based estimation with binarised treatments: issues and tests for the exclusion restriction," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 536-558.
    See citations under working paper version above.
  9. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva & Anna Solovyeva, 2021. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," Empirical Economics, Springer, vol. 60(4), pages 1661-1684, April.
    See citations under working paper version above.
  10. Daria Loginova & Marco Portmann & Martin Huber, 2021. "Assessing the Effects of Seasonal Tariff‐rate Quotas on Vegetable Prices in Switzerland," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 607-627, June.
    See citations under working paper version above.
  11. Martin Huber & Andreas Steinmayr, 2021. "A Framework for Separating Individual-Level Treatment Effects From Spillover Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 422-436, March.
    See citations under working paper version above.
  12. Ana Fernandes & Martin Huber & Giannina Vaccaro, 2021. "Gender differences in wage expectations," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-24, June.
    See citations under working paper version above.
  13. Holger Herz & Martin Huber & Tjaša Maillard-Bjedov & Svitlana Tyahlo, 2021. "Time Preferences Across Language Groups: Evidence on Intertemporal Choices from the Swiss Language Border," The Economic Journal, Royal Economic Society, vol. 131(639), pages 2920-2954.

    Cited by:

    1. Wang, Yanbing & Schaub, Sergei & Wuepper, David & Finger, Robert, 2022. "Culture and Agricultural Biodiversity Conservation," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321224, Agricultural Economics Society - AES.
    2. Katharina Erhardt & Simon Haenni, 2021. "The Cultural Roots of Firm Entry, Exit, and Growth," CESifo Working Paper Series 9198, CESifo.
    3. Clist, Paul & Hong, Ying-yi, 2023. "Do international students learn foreign preferences? The interplay of language, identity and assimilation," Journal of Economic Psychology, Elsevier, vol. 98(C).
    4. Maurizio Strazzeri & Chantal Oggenfuss & Stefan C. Wolter, 2022. "Much Ado about Nothing? School Curriculum Reforms and Students' Educational Trajectories," CESifo Working Paper Series 9912, CESifo.

  14. Martin Huber & Anna Solovyeva, 2020. "Direct and Indirect Effects under Sample Selection and Outcome Attrition," Econometrics, MDPI, vol. 8(4), pages 1-25, December.
    See citations under working paper version above.
  15. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
    See citations under working paper version above.
  16. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    See citations under working paper version above.
  17. Martin Huber & Anna Solovyeva, 2020. "On the Sensitivity of Wage Gap Decompositions," Journal of Labor Research, Springer, vol. 41(1), pages 1-33, June.
    See citations under working paper version above.
  18. Martin Huber & Henrika Langen, 2020. "Timing matters: the impact of response measures on COVID-19-related hospitalization and death rates in Germany and Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-19, December.

    Cited by:

    1. Regina Pleninger & Sina Streicher & Jan-Egbert Sturm, 2021. "Do COVID-19 Containment Measures Work? Evidence from Switzerland," KOF Working papers 21-494, KOF Swiss Economic Institute, ETH Zurich.
    2. Rodríguez-Pose, Andrés & Charron, Nicholas & Lapuente, Victor, 2022. "Uncooperative Society, Uncooperative Politics or Both? Trust, Polarisation, Populism and COVID-19 Deaths across European region," CEPR Discussion Papers 17046, C.E.P.R. Discussion Papers.
    3. Felder, Stefan & Robra, Bernt-Peter, 2020. "Effectiveness of Corona Lockdowns: Homburg's Flawed Analysis," Working papers 2020/08, Faculty of Business and Economics - University of Basel.
    4. John M. Bizjak & Swaminathan L. Kalpathy & Vassil T. Mihov & Jue Ren, 2022. "CEO Political Leanings and Store‐Level Economic Activity during the COVID‐19 Crisis: Effects on Shareholder Value and Public Health," Journal of Finance, American Finance Association, vol. 77(5), pages 2949-2986, October.
    5. Aparicio Fenoll, Ainoa & Grossbard, Shoshana, 2020. "Intergenerational Residence Patterns and COVID-19 Fatalities in the EU and the US," IZA Discussion Papers 13452, Institute of Labor Economics (IZA).
    6. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2022. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy," Post-Print hal-03789141, HAL.
    7. Rihab Baltaji & Ali Fakih & Nagham Sayour, 2023. "How did COVID‐19 lockdowns affect firms and workers? Evidence from Jordan and Morocco," Development Policy Review, Overseas Development Institute, vol. 41(6), November.
    8. Amit Summan & Arindam Nandi, 2022. "Timing of non-pharmaceutical interventions to mitigate COVID-19 transmission and their effects on mobility: a cross-country analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(1), pages 105-117, February.
    9. Kathleen McColl & Marion Debin & Cecile Souty & Caroline Guerrisi & Clement Turbelin & Alessandra Falchi & Isabelle Bonmarin & Daniela Paolotti & Chinelo Obi & Jim Duggan & Yamir Moreno & Ania Wisniak, 2021. "Are People Optimistically Biased about the Risk of COVID-19 Infection? Lessons from the First Wave of the Pandemic in Europe," IJERPH, MDPI, vol. 19(1), pages 1-23, December.
    10. Nikos Askitas & Konstantinos Tatsiramos & Bertrand Verheyden, 2020. "Lockdown Strategies, Mobility Patterns and COVID-19," Papers 2006.00531, arXiv.org.
    11. Mellacher, Patrick, 2020. "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," MPRA Paper 103661, University Library of Munich, Germany.
    12. Matthew Spiegel & Heather Tookes, 2021. "Business Restrictions and COVID-19 Fatalities [The immediate effect of COVID-19 policies on social distancing behavior in the United States]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5266-5308.
    13. Adil Al Wahaibi & Amal Al Maani & Fatma Alyaquobi & Abdullah Al Manji & Khalid Al Harthy & Bader Al Rawahi & Abdullah Alqayoudhi & Sulien Al Khalili & Amina Al-Jardani & Seif Al-Abri, 2021. "The Impact of Mobility Restriction Strategies in the Control of the COVID-19 Pandemic: Modelling the Relation between COVID-19 Health and Community Mobility Data," IJERPH, MDPI, vol. 18(19), pages 1-10, October.

  19. Hugo Bodory & Lorenzo Camponovo & Martin Huber & Michael Lechner, 2020. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 183-200, January.
    See citations under working paper version above.
  20. Eva Deuchert & Martin Huber & Mark Schelker, 2019. "Direct and Indirect Effects Based on Difference-in-Differences With an Application to Political Preferences Following the Vietnam Draft Lottery," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 710-720, October.
    See citations under working paper version above.
  21. Hsu Yu-Chin & Huber Martin & Lai Tsung-Chih, 2019. "Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-20, January.
    See citations under working paper version above.
  22. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    See citations under working paper version above.
  23. Markus Frölich & Martin Huber, 2019. "Including Covariates in the Regression Discontinuity Design," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 736-748, October.
    See citations under working paper version above.
  24. Huber, Martin & Imhof, David, 2019. "Machine learning with screens for detecting bid-rigging cartels," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 277-301.
    See citations under working paper version above.
  25. Huber, Martin & Kotevska, Ana & Stojcheska, Aleksandra Martinovska & Solovyeva, Anna, 2019. "Evaluating an Information Campaign about Rural Development Policies in FYR Macedonia," Agricultural and Resource Economics Review, Cambridge University Press, vol. 48(1), pages 117-141, April.
    See citations under working paper version above.
  26. Martin Huber & Michael Lechner & Anthony Strittmatter, 2018. "Direct and indirect effects of training vouchers for the unemployed," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(2), pages 441-463, February.
    See citations under working paper version above.
  27. Christina Felfe & Martin Huber, 2017. "Does preschool boost the development of minority children?: the case of Roma children," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 475-502, February.
    See citations under working paper version above.
  28. Eva Deuchert & Martin Huber, 2017. "A Cautionary Tale About Control Variables in IV Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(3), pages 411-425, June.
    See citations under working paper version above.
  29. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    See citations under working paper version above.
  30. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    See citations under working paper version above.
  31. Martin Huber & Lukas Laffers & Giovanni Mellace, 2017. "Sharp IV Bounds on Average Treatment Effects on the Treated and Other Populations Under Endogeneity and Noncompliance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 56-79, January.

    Cited by:

    1. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    2. Nadja van 't Hoff, 2023. "Identifying Causal Effects of Nonbinary, Ordered Treatments using Multiple Instrumental Variables," Papers 2311.17575, arXiv.org.
    3. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
    4. Xintong Wang & Alfonso Flores-Lagunes, 2022. "Conscription and Military Service: Do They Result in Future Violent and Nonviolent Incarcerations and Recidivism?," Journal of Human Resources, University of Wisconsin Press, vol. 57(5), pages 1715-1757.
    5. Lukas Laffers & Giovanni Mellace, 2017. "A note on testing instrument validity for the identification of LATE," Empirical Economics, Springer, vol. 53(3), pages 1281-1286, November.
    6. Christelis, Dimitris & Messina, Julián, 2019. "Partial Identification of Population Average and Quantile Treatment Effects in Observational Data under Sample Selection," IDB Publications (Working Papers) 9520, Inter-American Development Bank.
    7. Michela Bia & German Blanco & Marie Valentova, 2021. "The Causal Impact of Taking Parental Leave on Wages: Evidence from 2005 to 2015," LISER Working Paper Series 2021-08, Luxembourg Institute of Socio-Economic Research (LISER).
    8. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2017. "Going beyond LATE: Bounding Average Treatment Effects of Job Corps Training," GLO Discussion Paper Series 93, Global Labor Organization (GLO).
    9. Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023. "Identifying marginal treatment effects in the presence of sample selection," Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.
    10. Amanda E. Kowalski, 2018. "Extrapolation using Selection and Moral Hazard Heterogeneity from within the Oregon Health Insurance Experiment," Cowles Foundation Discussion Papers 2135, Cowles Foundation for Research in Economics, Yale University.
    11. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    12. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    13. Kédagni, Désiré, 2023. "Identifying treatment effects in the presence of confounded types," Journal of Econometrics, Elsevier, vol. 234(2), pages 479-511.
    14. Aizawa, T.;, 2019. "Reviewing the Existing Evidence of the Conditional Cash Transfer in India through the Partial Identification Approach," Health, Econometrics and Data Group (HEDG) Working Papers 19/24, HEDG, c/o Department of Economics, University of York.
    15. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.

  32. Martin Huber & Michael Lechner & Giovanni Mellace, 2017. "Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 180-183, March.
    See citations under working paper version above.
  33. Bolzern, Benjamin & Huber, Martin, 2017. "Testing the validity of the compulsory schooling law instrument," Economics Letters, Elsevier, vol. 159(C), pages 23-27.
    See citations under working paper version above.
  34. Martin Huber & Michael Lechner & Giovanni Mellace, 2016. "The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
    See citations under working paper version above.
  35. Martin Huber, 2016. "Disentangling policy effects into causal channels," IZA World of Labor, Institute of Labor Economics (IZA), pages 259-259, May.

    Cited by:

    1. Prifti, Ervin & Daidone, Silvio & Davis, Benjamin, 2019. "Causal pathways of the productive impacts of cash transfers: Experimental evidence from Lesotho," World Development, Elsevier, vol. 115(C), pages 258-268.
    2. Alexia Lochmann & Hillel Rapoport & Biagio Speciale, 2019. "The effect of language training on immigrants’ economic integration: Empirical evidence from France," PSE-Ecole d'économie de Paris (Postprint) halshs-02096347, HAL.
    3. Rob Pryce & Ian Walker & Rhys Wheeler, 2017. "How much of a problem is problem gambling?," Working Papers 167235280, Lancaster University Management School, Economics Department.

  36. Martin Huber & Michael Lechner & Conny Wunsch, 2016. "The Effect of Firms’ Phased Retirement Policies on the Labor Market Outcomes of Their Employees," ILR Review, Cornell University, ILR School, vol. 69(5), pages 1216-1248, October.

    Cited by:

    1. Johannes Geyer & Svenja Lorenz & Thomas Zwick & Mona Bruns, 2021. "Early Retirement of Employees in Demanding Jobs: Evidence from a German Pension Reform," Discussion Papers of DIW Berlin 1978, DIW Berlin, German Institute for Economic Research.
    2. Haan, Peter & Tolan, Songül, 2019. "Labor supply and fiscal effects of partial retirement – The role of entry age and the timing of pension benefits," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    3. Albanese, Andrea & Cockx, Bart & Thuy, Yannick, 2015. "Working Time Reductions at the End of the Career: Do They Prolong the Time Spent in Employment?," IZA Discussion Papers 9619, Institute of Labor Economics (IZA).
    4. Rebecca Schrader, 2021. "The causal effect of partial retirement on older workers’ labor force participation," Working Papers 215, Bavarian Graduate Program in Economics (BGPE).
    5. Vigtel, Trond Christian, 2018. "The retirement age and the hiring of senior workers," Labour Economics, Elsevier, vol. 51(C), pages 247-270.
    6. Songül Tolan, 2017. "The Effect of Partial Retirement on Labor Supply, Public Balances and the Income Distribution: Evidence from a Structural Analysis," Discussion Papers of DIW Berlin 1679, DIW Berlin, German Institute for Economic Research.

  37. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva, 2016. "Do Anti-Corruption Educational Campaigns Reach Students? Some Evidence from Russia and Ukraine," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 61-83.

    Cited by:

    1. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva & Anna Solovyeva, 2021. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," Empirical Economics, Springer, vol. 60(4), pages 1661-1684, April.

  38. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2015. "Workplace health promotion and labour market performance of employees," Journal of Health Economics, Elsevier, vol. 43(C), pages 170-189.
    See citations under working paper version above.
  39. Martin Huber & Giovanni Mellace, 2015. "Sharp Bounds on Causal Effects under Sample Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 129-151, February.
    See citations under working paper version above.
  40. Martin Huber & Michael Lechner & Andreas Steinmayr, 2015. "Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour," Empirical Economics, Springer, vol. 49(1), pages 1-31, August.
    See citations under working paper version above.
  41. Martin Huber, 2015. "Testing the Validity of the Sibling Sex Ratio Instrument," LABOUR, CEIS, vol. 29(1), pages 1-14, March.

    Cited by:

    1. Thomas Carr & Toru Kitagawa, 2021. "Testing Instrument Validity with Covariates," Papers 2112.08092, arXiv.org, revised Sep 2023.
    2. Stacey H. Chen & Yen-Chien Chen & Jin-Tan Liu, 2019. "The Impact of Family Composition on Educational Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 54(1), pages 122-170.
    3. Janna Bergsvik & Sara Cools & Rannveig K. Hart, 2023. "Explaining Residential Clustering of Large Families," European Journal of Population, Springer;European Association for Population Studies, vol. 39(1), pages 1-28, December.
    4. James Bisbee & Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2015. "Local Instruments, Global Extrapolation: External Validity of the Labor Supply-Fertility Local Average Treatment Effect," NBER Working Papers 21663, National Bureau of Economic Research, Inc.
    5. Julia Schmieder, 2020. "Fertility as a Driver of Maternal Employment," Discussion Papers of DIW Berlin 1882, DIW Berlin, German Institute for Economic Research.
    6. Jan Priebe, 2020. "Quasi-experimental evidence for the causal link between fertility and subjective well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 839-882, July.
    7. Sara Cools & Simen Markussen & Marte Strøm, 2017. "Children and Careers: How Family Size Affects Parents’ Labor Market Outcomes in the Long Run," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1773-1793, October.
    8. Guber, Raphael, 2018. "Instrument Validity Tests with Causal Trees: With an Application to the Same-sex Instrument," MEA discussion paper series 201805, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    9. Öberg, Stefan, 2021. "The casual effect of fertility: The multiple problems with instrumental variables for the number of children in families," SocArXiv peuvz, Center for Open Science.

  42. Martin Huber, 2015. "Causal Pitfalls in the Decomposition of Wage Gaps," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 179-191, April.
    See citations under working paper version above.
  43. Bernhard Boockmann & Stephan L. Thomsen & Thomas Walter & Christian Göbel & Martin Huber, 2015. "Should Welfare Administration be Centralized or Decentralized? Evidence from a Policy Experiment," German Economic Review, Verein für Socialpolitik, vol. 16(1), pages 13-42, February.
    See citations under working paper version above.
  44. Martin Huber & Blaise Melly, 2015. "A Test of the Conditional Independence Assumption in Sample Selection Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1144-1168, November.

    Cited by:

    1. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    2. Westphal, Matthias & Kamhöfer, Daniel A. & Schmitz, Hendrik, 2020. "Marginal College Wage Premiums under Selection into Employment," IZA Discussion Papers 13382, Institute of Labor Economics (IZA).
    3. Bernd Fitzenberger & Jakob Lazzer, 2022. "Changing selection into full-time work and its effect on wage inequality in Germany," Empirical Economics, Springer, vol. 62(1), pages 247-277, January.
    4. Valentina Corradi & Daniel Gutknecht, 2019. "Testing for Quantile Sample Selection," Papers 1907.07412, arXiv.org, revised Jan 2021.
    5. Christl, Michael & Köppl-Turyna, Monika, 2017. "Gender wage gap and the role of skills: evidence from PIAAC dataset," GLO Discussion Paper Series 63, Global Labor Organization (GLO).
    6. Azam, Mehtabul & Prakash, Nishith, 2010. "A Distributional Analysis of the Public-Private Wage Differential in India," IZA Discussion Papers 5132, Institute of Labor Economics (IZA).
    7. Manuel Arellano & Stéphane Bonhomme, 2017. "Sample Selection in Quantile Regression: A Survey," Working Papers wp2017_1702, CEMFI.
    8. Maria Koumenta & Mario Pagliero & Davud Rostam-Afschar, 2020. "Occupational Licensing and the Gender Wage Gap," Working Papers 563, ECINEQ, Society for the Study of Economic Inequality.
    9. Bianchi, Pascal & Elgui, Kevin & Portier, François, 2023. "Conditional independence testing via weighted partial copulas," Journal of Multivariate Analysis, Elsevier, vol. 193(C).
    10. Hao, Shiming, 2021. "True structure change, spurious treatment effect? A novel approach to disentangle treatment effects from structure changes," MPRA Paper 108679, University Library of Munich, Germany.
    11. Liu, Ruixuan & Yu, Zhengfei, 2022. "Sample selection models with monotone control functions," Journal of Econometrics, Elsevier, vol. 226(2), pages 321-342.
    12. Michela Bia & Martin Huber & Luk'av{s} Laff'ers, 2020. "Double machine learning for sample selection models," Papers 2012.00745, arXiv.org, revised Jul 2021.
    13. Ulf Nielsson & Herdis Steingrimsdottir, 2018. "The signalling value of education across genders," Empirical Economics, Springer, vol. 54(4), pages 1827-1854, June.
    14. Bernd Fitzenberger & Roger Koenker & José Machado & Blaise Melly, 2022. "Economic applications of quantile regression 2.0," Empirical Economics, Springer, vol. 62(1), pages 1-6, January.
    15. Akanksha Negi, 2020. "Doubly weighted M-estimation for nonrandom assignment and missing outcomes," Papers 2011.11485, arXiv.org.
    16. Bargain, Olivier & Etienne, Audrey & Melly, Blaise, 2018. "Public Sector Wage Gaps over the Long-Run: Evidence from Panel Administrative Data," IZA Discussion Papers 11924, Institute of Labor Economics (IZA).
    17. Mikhail Zhelonkin & Marc G. Genton & Elvezio Ronchetti, 2016. "Robust inference in sample selection models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(4), pages 805-827, September.
    18. David Powell & Dana Goldman, 2016. "Disentangling Moral Hazard and Adverse Selection in Private Health Insurance," NBER Working Papers 21858, National Bureau of Economic Research, Inc.
    19. Jeremiah Richey & Nikolas Tromp, 2021. "The Black–White wage gap among young men in 1990 versus 2011: With sample selection adjustments," Bulletin of Economic Research, Wiley Blackwell, vol. 73(4), pages 780-805, October.
    20. Biewen, Martin & Fitzenberger, Bernd & Seckler, Matthias, 2020. "Counterfactual quantile decompositions with selection correction taking into account Huber/Melly (2015): An application to the German gender wage gap," Labour Economics, Elsevier, vol. 67(C).
    21. Jay Dev Dubey, 2021. "Measuring Income Elasticity of Healthcare-Seeking Behavior in India: A Conditional Quantile Regression Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 767-793, December.
    22. Garbay, Sergio & Barrera, Raquel, 2021. "¿Mujeres en suelos pegajosos? Un análisis de la evolución de las distribuciones de ingresos laborales en Bolivia en el periodo 2011-2019," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 36, pages 123-168, Noviembre.
    23. Tromp, Nikolas, 2019. "The narrowing gender wage gap in South Korea," Journal of the Japanese and International Economies, Elsevier, vol. 53(C), pages 1-1.
    24. Tromp, Nikolas & Kwak, Juwon, 2022. "Graduating to a gender wage gap in South Korea," Journal of Asian Economics, Elsevier, vol. 78(C).

  45. Martin Huber & Giovanni Mellace, 2015. "Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 398-411, May.
    See citations under working paper version above.
  46. Huber, Martin, 2014. "Sensitivity checks for the local average treatment effect," Economics Letters, Elsevier, vol. 123(2), pages 220-223.

    Cited by:

    1. 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.
    2. Martin Huber, 2015. "Testing the Validity of the Sibling Sex Ratio Instrument," LABOUR, CEIS, vol. 29(1), pages 1-14, March.
    3. Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
    4. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    5. Kaspar W thrich, 2014. "A Comparison of two Quantile Models with Endogeneity," Diskussionsschriften dp1408, Universitaet Bern, Departement Volkswirtschaft.
    6. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    7. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.

  47. Markus Frölich & Martin Huber, 2014. "Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1697-1711, December.
    See citations under working paper version above.
  48. Martin Huber, 2014. "Treatment Evaluation in the Presence of Sample Selection," Econometric Reviews, Taylor & Francis Journals, vol. 33(8), pages 869-905, November.
    See citations under working paper version above.
  49. Martin Huber, 2014. "Identifying Causal Mechanisms (Primarily) Based On Inverse Probability Weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 920-943, September.

    Cited by:

    1. Huber, Martin & Steinmayr, Andreas, 2017. "A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects," IZA Discussion Papers 10648, Institute of Labor Economics (IZA).
    2. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    4. Lechner, Michael & Huber, Martin & Strittmatter, Anthony, 2015. "Direct and indirect effects of training vouchers for the unemployed," CEPR Discussion Papers 10650, C.E.P.R. Discussion Papers.
    5. Prifti, Ervin & Daidone, Silvio & Davis, Benjamin, 2019. "Causal pathways of the productive impacts of cash transfers: Experimental evidence from Lesotho," World Development, Elsevier, vol. 115(C), pages 258-268.
    6. Takeshima, Hiroyuki & Houssou, Nazaire & Diao, Xinshen, 2018. "Effects of tractor ownership on returns-to-scale in agriculture: Evidence from maize in Ghana," Food Policy, Elsevier, vol. 77(C), pages 33-49.
    7. Martin Huber, 2016. "Disentangling policy effects into causal channels," IZA World of Labor, Institute of Labor Economics (IZA), pages 259-259, May.
    8. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, Institute of Labor Economics (IZA).
    9. Bijwaard, Govert & Jones, Andrew M., 2016. "Cognitive Ability and the Mortality Gradient by Education: Selection or Mediation?," IZA Discussion Papers 9798, Institute of Labor Economics (IZA).
    10. Guanglei Hong & Fan Yang & Xu Qin, 2023. "Posttreatment confounding in causal mediation studies: A cutting‐edge problem and a novel solution via sensitivity analysis," Biometrics, The International Biometric Society, vol. 79(2), pages 1042-1056, June.
    11. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    12. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    13. Lampach, Nicolas & To-The, Nguyen & Nguyen-Anh, Tuan, 2021. "Technical efficiency and the adoption of multiple agricultural technologies in the mountainous areas of Northern Vietnam," Land Use Policy, Elsevier, vol. 103(C).
    14. Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," FSES Working Papers 453, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    15. Huber, Martin & Solovyeva, Anna, 2018. "On the sensitivity of wage gap decompositions," FSES Working Papers 497, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    16. Govert E. Bijwaard & Andrew M. Jones, 2019. "An IPW estimator for mediation effects in hazard models: with an application to schooling, cognitive ability and mortality," Empirical Economics, Springer, vol. 57(1), pages 129-175, July.
    17. Luna Bellani & Michela Bia, 2016. "Intergenerational poverty transmission in Europe: The role of education," Working Paper Series of the Department of Economics, University of Konstanz 2016-02, Department of Economics, University of Konstanz.
    18. Hsu Yu-Chin & Huber Martin & Lai Tsung-Chih, 2019. "Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-20, January.
    19. Kee H. Chung & Choonsik Lee & Carl Hsin‐han Shen, 2020. "Passive blockholders, informational efficiency of prices, and firm value," Review of Financial Economics, John Wiley & Sons, vol. 38(3), pages 494-512, July.
    20. José F Baños-Pino & David Boto-García & Eduardo Del Valle & Inés Sustacha, 2023. "The impact of COVID-19 on tourists’ length of stay and daily expenditures," Tourism Economics, , vol. 29(2), pages 437-459, March.
    21. Takeshima, Hiroyuki & Akramov, Kamiljon T. & Park, Allen & Ilyasov, Jarilkasin & Ergasheva, Tanzila, 2019. "Agriculture-nutrition linkages, cooking-time, intrahousehold equality among women and children: Evidence from Tajikistan:," IFPRI discussion papers 1882, International Food Policy Research Institute (IFPRI).
    22. Huber, Martin & Schelker, Mark & Strittmatter, Anthony, 2019. "Direct and Indirect Effects based on Changes-in- Changes," FSES Working Papers 508, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    23. Dongyang Yang & Wei Xu, 2023. "Estimation of Mediation Effect on Zero-Inflated Microbiome Mediators," Mathematics, MDPI, vol. 11(13), pages 1-16, June.
    24. Anita Lindmark, 2022. "Sensitivity analysis for unobserved confounding in causal mediation analysis allowing for effect modification, censoring and truncation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 785-814, October.
    25. Bijwaard, G.E. & Jones, A.M., 2015. "Intelligence and the Mortality Difference by Education: Selection or mediation?," Health, Econometrics and Data Group (HEDG) Working Papers 15/07, HEDG, c/o Department of Economics, University of York.
    26. Xu Qin & Jonah Deutsch & Guanglei Hong, 2021. "Unpacking Complex Mediation Mechanisms And Their Heterogeneity Between Sites In A Job Corps Evaluation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(1), pages 158-190, January.
    27. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    28. Pannenberg, Markus & Friehe, Tim, 2017. "Time preferences and political regimes: Evidence from reunified Germany," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168173, Verein für Socialpolitik / German Economic Association.
    29. Farbmacher, Helmut & Huber, Martin & Langen, Henrika & Spindler, Martin, 2020. "Causal mediation analysis with double machine learning," FSES Working Papers 515, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    30. Egger, Peter & ,, 2017. "Comparing Apples to Apples: Estimating Consistent Partial Effects of Preferential Economic Integration Agreements," CEPR Discussion Papers 11894, C.E.P.R. Discussion Papers.
    31. Vincenzo Atella & Edoardo Di Porto & Joanna Kopinska & Maarten Lindeboom, 2022. "Traumatic Experiences Adversely Affect Life Cycle Labor Market Outcomes of the Next Generation - Evidence from WWII Nazi Raids," CEIS Research Paper 549, Tor Vergata University, CEIS, revised 19 Dec 2022.
    32. Steinmayr, Andreas, 2014. "When a random sample is not random: Bounds on the effect of migration on household members left behind," Kiel Working Papers 1975, Kiel Institute for the World Economy (IfW Kiel).
    33. Bellani, Luna & Bia, Michela, 2017. "The Long-Run Impact of Childhood Poverty and the Mediating Role of Education," IZA Discussion Papers 10677, Institute of Labor Economics (IZA).

  50. Martin Huber & Giovanni Mellace, 2014. "Testing exclusion restrictions and additive separability in sample selection models," Empirical Economics, Springer, vol. 47(1), pages 75-92, August.

    Cited by:

    1. Henning Hermes & Marina Krauß & Philipp Lergetporer & Frauke Peter & Simon Wiederhold, 2022. "Early Child Care and Labor Supply of Lower-SES Mothers: A Randomized Controlled Trial," CESifo Working Paper Series 10178, CESifo.
    2. Antonio Paolo & Aysit Tansel, 2019. "English skills, labour market status and earnings of Turkish women," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(4), pages 669-690, November.
    3. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    4. Shannon Seitz & Geoffrey Sanzenbacher & Andrew Beauchamp & Meghan Skira, 2014. "Deadbeat Dads," 2014 Meeting Papers 435, Society for Economic Dynamics.
    5. Thomas Bolli & Katherine Caves & Maria Esther Oswald-Egg, 2021. "Valuable Experience: How University Internships Affect Graduates’ Income," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(8), pages 1198-1247, December.
    6. Kenza Elass, 2022. "The multiple dimensions of selection into employment," AMSE Working Papers 2219, Aix-Marseille School of Economics, France.
    7. Christian K. Darko & Kennedy K. Abrokwa, 2020. "Do you really need it? Educational mismatch and earnings in Ghana," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1365-1392, November.
    8. Brendon McConnell, 2022. "Racial Sentencing Disparities and Differential Progression Through the Criminal Justice System: Evidence From Linked Federal and State Court Data," Papers 2203.14282, arXiv.org, revised Apr 2022.
    9. Biavaschi, Costanza, 2016. "Recovering the counterfactual wage distribution with selective return migration," Labour Economics, Elsevier, vol. 38(C), pages 59-80.
    10. Castagnetti, Carolina & Rosti, Luisa & Töpfer, Marina, 2018. "Discriminate me - if you can! The disappearance of the gender pay gap among public-contest selected employees," Discussion Papers 103, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    11. Harry Anthony Patrinos & George Psacharopoulos & Aysit Tansel, 2019. "GLOBALISATION AND GOVERNANCE: Returns to Investment in Education: The Case of Turkey," ERC Working Papers 1903, ERC - Economic Research Center, Middle East Technical University, revised Mar 2019.
    12. Dante Contreras & Roberto Gillmore & Esteban Puentes, 2017. "Self‐Employment and Queues for Wage Work: Evidence from Chile," Journal of International Development, John Wiley & Sons, Ltd., vol. 29(4), pages 473-499, May.
    13. Patrinos, Harry Anthony & Psacharopoulos, George & Tansel, Aysit, 2019. "Returns to Investment in Education: The Case of Turkey," GLO Discussion Paper Series 335, Global Labor Organization (GLO).
    14. Masayuki Hirukawa & Di Liu & Irina Murtazashvili & Artem Prokhorov, 2023. "DS-HECK: double-lasso estimation of Heckman selection model," Empirical Economics, Springer, vol. 64(6), pages 3167-3195, June.
    15. Huber, Martin & Solovyeva, Anna, 2018. "On the sensitivity of wage gap decompositions," FSES Working Papers 497, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    16. Josephine Jacobs & Courtney Van Houtven & Audrey Laporte & Peter Coyte, 2014. "Baby Boomer caregivers in the workforce: Do they fare better or worse than their predecessors?," Working Papers 140001, Canadian Centre for Health Economics.
    17. Chunbei Wang & Le Wang, 2017. "Knot yet: minimum marriage age law, marriage delay, and earnings," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(3), pages 771-804, July.
    18. Abby Alpert & David Powell, 2020. "Estimating Intensive And Extensive Tax Responsiveness," Economic Inquiry, Western Economic Association International, vol. 58(4), pages 1855-1873, October.
    19. Jaehee Hwang, 2022. "Who Becomes a Fisherman? A Two-Stage Sample Selection Analysis on Small-Scale Fishery Choice and Income in Korea," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    20. Feng‐Yi Lin & Shen‐Ho Chang & Shaio‐Yan Huang & Teng‐Shih Wang, 2021. "Self‐interested board of director and stock price crash risk in loss‐making firms," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 2853-2890, June.
    21. Kenza Elass, 2022. "The multiple dimensions of selection into employment," French Stata Users' Group Meetings 2022 06, Stata Users Group.
    22. Kenza Elass, 2022. "The multiple dimensions of selection into employment," Working Papers hal-03788508, HAL.
    23. Biewen, Martin & Fitzenberger, Bernd & Seckler, Matthias, 2020. "Counterfactual quantile decompositions with selection correction taking into account Huber/Melly (2015): An application to the German gender wage gap," Labour Economics, Elsevier, vol. 67(C).
    24. Maasoumi, Esfandiar & Wang, Le, 2017. "What can we learn about the racial gap in the presence of sample selection?," Journal of Econometrics, Elsevier, vol. 199(2), pages 117-130.
    25. Ahn, Soojung & Steinbach, Sandro, 2021. "COVID-19 Trade Actions in the Agricultural and Food Sector," Journal of Food Distribution Research, Food Distribution Research Society, vol. 52(2), July.
    26. Garbay, Sergio & Barrera, Raquel, 2021. "¿Mujeres en suelos pegajosos? Un análisis de la evolución de las distribuciones de ingresos laborales en Bolivia en el periodo 2011-2019," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 36, pages 123-168, Noviembre.
    27. Dhamija, Gaurav & Roychowdhury, Punarjit, 2018. "The impact of women's age at marriage on own and spousal labor market outcomes in India: causation or selection?," MPRA Paper 86686, University Library of Munich, Germany.
    28. Carolina Castagnetti & Luisa Rosti & Marina Töpfer, 2020. "Discriminate me — If you can! The disappearance of the gender pay gap among public‐contest selected employees in Italy," Gender, Work and Organization, Wiley Blackwell, vol. 27(6), pages 1040-1076, November.

  51. Huber, Martin, 2013. "A simple test for the ignorability of non-compliance in experiments," Economics Letters, Elsevier, vol. 120(3), pages 389-391.
    See citations under working paper version above.
  52. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.

    Cited by:

    1. Cabane, Charlotte & Hille, Adrian & Lechner, Michael, 2015. "Mozart or Pelé? The Effects of Teenagers' Participation in Music and Sports," IZA Discussion Papers 8987, Institute of Labor Economics (IZA).
    2. Gunes, Pinar Mine & Tsaneva, Magda, 2020. "The effects of teenage childbearing on education, physical health, and mental distress: evidence from Mexico," Journal of Demographic Economics, Cambridge University Press, vol. 86(2), pages 183-206, June.
    3. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    4. Joanna Tyrowicz & Lucas van der Velde, 2019. "When the opportunity knocks: large structural shocks and gender wage gaps," Working Papers 379, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    5. Cerqua, Augusto & Urwin, Peter & Thomson, Dave & Bibby, David, 2020. "Evaluation of education and training impacts for the unemployed: Challenges of new data," Labour Economics, Elsevier, vol. 67(C).
    6. Pohlan, Laura, 2019. "Unemployment and social exclusion," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 273-299.
    7. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    8. Olaf Hübler, 2019. "The Role of Body Weight for Health, Earnings, and Life Satisfaction," SOEPpapers on Multidisciplinary Panel Data Research 1024, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. Hamidou Jawara, 2020. "Access to savings and household welfare evidence from a household survey in The Gambia," African Development Review, African Development Bank, vol. 32(2), pages 138-149, June.
    10. Nathalie Greenan & Pierre-Jean Messe, 2018. "Transmission of vocational skills in the second part of careers: the effect of ICT and management changes [Transmission des compétences professionnelles dans la seconde partie des carrières: l'effe," Post-Print hal-01824090, HAL.
    11. Erlend E. Bø & Elin Halvorsen & Thor O. Thoresen, 2019. "Heterogeneity of the Carnegie Effect," Journal of Human Resources, University of Wisconsin Press, vol. 54(3), pages 726-759.
    12. Felfe, Christina & Lechner, Michael & Steinmayr, Andreas, 2016. "Sports and Child Development," Munich Reprints in Economics 37862, University of Munich, Department of Economics.
    13. Emmler, Julian & Fitzenberger, Bernd, 2021. "Temporary Overpessimism: Job Loss Expectations Following a Large Negative Employment Shock," IZA Discussion Papers 14149, Institute of Labor Economics (IZA).
    14. Cockx, Bart & Lechner, Michael & Bollens, Joost, 2023. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Labour Economics, Elsevier, vol. 80(C).
    15. Cheung, Diana & Padieu, Ysaline, 2015. "Heterogeneity of the Effects of Health Insurance on Household Savings: Evidence from Rural China," World Development, Elsevier, vol. 66(C), pages 84-103.
    16. Lutz Bellmann & Marco Caliendo & Stefan Tübbicke, 2018. "The Post‐Reform Effectiveness of the New German Start‐Up Subsidy for the Unemployed," LABOUR, CEIS, vol. 32(3), pages 293-319, September.
    17. Julian Emmler & Bernd Fitzenberger, 2022. "Temporary overpessimism: Job loss expectations following a large negative employment shock," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(3), pages 621-661, July.
    18. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2019. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed," Economics Working Paper Series 1910, University of St. Gallen, School of Economics and Political Science.
    19. Walke, Adam G. & Fullerton, Thomas M. & Tokle, Robert J., 2018. "Risk-based loan pricing consequences for credit unions," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 105-119.
    20. Lechner, Michael & Knaus, Michael C. & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," CEPR Discussion Papers 13402, C.E.P.R. Discussion Papers.
    21. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    22. Lechner, Michael & Sari, Nazmi, 2014. "Labor market effects of sports and exercise: Evidence from Canadian panel data," Economics Working Paper Series 1402, University of St. Gallen, School of Economics and Political Science.
    23. Stefan Tübbicke, 2020. "Entropy Balancing for Continuous Treatments," CEPA Discussion Papers 21, Center for Economic Policy Analysis.
    24. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    25. Pawlowski, Tim & Steckenleiter, Carina & Wallrafen, Tim & Lechner, Michael, 2019. "Individual labor market effects of local public expenditures on sports," Economics Working Paper Series 1906, University of St. Gallen, School of Economics and Political Science.
    26. Knaus, Michael C. & Lechner, Michael & Reimers, Anne K., 2018. "For Better or Worse? The Effects of Physical Education on Child Development," IZA Discussion Papers 11268, Institute of Labor Economics (IZA).
    27. Martin Huber & Michael Lechner & Giovanni Mellace, 2017. "Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 180-183, March.
    28. Ferman, Bruno, 2017. "Matching Estimators with Few Treated and Many Control Observations," MPRA Paper 78940, University Library of Munich, Germany.
    29. Adeola Oyenubi & Martin Wittenberg, 2021. "Does the choice of balance-measure matter under genetic matching?," Empirical Economics, Springer, vol. 61(1), pages 489-502, July.
    30. Jun Hyung Kim & Yu Kyung Koh & Jinseong Park, 2023. "Mental Health Consequences of Working from Home during the Pandemic," Global Economic Review, Taylor & Francis Journals, vol. 52(1), pages 18-50, January.
    31. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The effect of firms' partial retirement policies on the labour market outcomes of their employees," Economics Working Paper Series 1316, University of St. Gallen, School of Economics and Political Science.
    32. Weber, Michael, 2017. "Public employment services under decentralization: Evidence from a natural experiment," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168277, Verein für Socialpolitik / German Economic Association.
    33. Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
    34. Pawlowski, Tim & Schüttoff, Ute & Downward, Paul & Lechner, Michael, 2014. "Sport participation and Child Development in Less Developed Countries," Economics Working Paper Series 1433, University of St. Gallen, School of Economics and Political Science.
    35. Lechner, Michael & Huber, Martin & Strittmatter, Anthony, 2015. "Direct and indirect effects of training vouchers for the unemployed," CEPR Discussion Papers 10650, C.E.P.R. Discussion Papers.
    36. Robert J. R. Elliott & Liza Jabbour & Liyun Zhang, 2016. "Firm productivity and importing: Evidence from Chinese manufacturing firms," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 1086-1124, August.
    37. Hille, Adrian & Schupp, Jürgen, 2015. "How learning a musical instrument affects the development of skills," Economics of Education Review, Elsevier, vol. 44(C), pages 56-82.
    38. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    39. Aurélien Baillon & Joseph Capuno & Owen O'Donnell & Carlos Tan & Kim van Wilgenburg, 2019. "Persistent Effects of Temporary Incentives: Evidence from a Nationwide Health Insurance Experiment," Tinbergen Institute Discussion Papers 19-078/V, Tinbergen Institute.
    40. Jaana Rahko, 2016. "Internationalization of corporate R&D activities and innovation performance," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(6), pages 1019-1038.
    41. Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," Papers 1909.02210, arXiv.org, revised Jul 2020.
    42. Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
    43. Salm, Martin & Siflinger, Bettina & Xie, Mingjia, 2021. "The Effect of Retirement on Mental Health: Indirect Treatment Effects and Causal Mediation," Other publications TiSEM e28efa7f-8219-437c-a26d-2, Tilburg University, School of Economics and Management.
    44. Paredes, Dusan & Komarek, Timothy & Loveridge, Scott, 2015. "Income and employment effects of shale gas extraction windfalls: Evidence from the Marcellus region," Energy Economics, Elsevier, vol. 47(C), pages 112-120.
    45. Tobias Brändle & Lukas Fervers, 2017. "Give it Another Try: What are the Effects of a Public Employment Scheme Especially Designed for Hard-to-Place Workers?," IAW Discussion Papers 129, Institut für Angewandte Wirtschaftsforschung (IAW).
    46. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2021. "Empirical Monte Carlo Evidence on Estimation of Timing-of-Events Models," IZA Discussion Papers 14015, Institute of Labor Economics (IZA).
    47. Krumer, Alex & Lechner, Michael, 2016. "Midweek Effect on Performance: Evidence from the German Soccer Bundesliga," Economics Working Paper Series 1609, University of St. Gallen, School of Economics and Political Science.
    48. Markus Frölich & Martin Huber, 2014. "Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1697-1711, December.
    49. Lechner, Michael & Strittmatter, Anthony, 2017. "Practical Procedures to Deal with Common Support Problems in Matching Estimation," IZA Discussion Papers 10532, Institute of Labor Economics (IZA).
    50. Alan Fernihough, 2017. "Human capital and the quantity–quality trade-off during the demographic transition," Journal of Economic Growth, Springer, vol. 22(1), pages 35-65, March.
    51. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
    52. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    53. Michael C. Knaus, 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers 1805.10300, arXiv.org, revised Jan 2019.
    54. Iqbal, Hamzah & Krumer, Alex, 2017. "Discouragement Effect and Intermediate Prizes in Multi-Stage Contests: Evidence from Tennis’s Davis Cup," Economics Working Paper Series 1719, University of St. Gallen, School of Economics and Political Science.
    55. Schmidl, Ricarda, 2015. "The Effectiveness of Early Vacancy Information in the Presence of Monitoring and ALMP," IZA Discussion Papers 9575, Institute of Labor Economics (IZA).
    56. Hajime Seya & Takahiro Yoshida, 2017. "Propensity score matching for multiple treatment levels: A CODA-based contribution," Papers 1710.08558, arXiv.org.
    57. Emmler, Julian & Fitzenberger, Bernd, 2020. "The role of unemployment and job change when estimating the returns to migration," IAB-Discussion Paper 202037, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    58. Sisira Sarma & Nirav Mehta & Rose Anne Devlin & Koffi Ahoto Kpelitse & Lihua Li, 2018. "Family physician remuneration schemes and specialist referrals: Quasi‐experimental evidence from Ontario, Canada," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1533-1549, October.
    59. Doerr, Annabelle, 2022. "Vocational Training for Female Job Returners - Effects on Employment, Earnings and Job Quality," Working papers 2022/02, Faculty of Business and Economics - University of Basel.
    60. Albanese, Andrea & Cockx, Bart & Thuy, Yannick, 2015. "Working Time Reductions at the End of the Career: Do They Prolong the Time Spent in Employment?," IZA Discussion Papers 9619, Institute of Labor Economics (IZA).
    61. Sant’Anna, Pedro H.C. & Song, Xiaojun, 2019. "Specification tests for the propensity score," Journal of Econometrics, Elsevier, vol. 210(2), pages 379-404.
    62. Marloes Lammers & Lucy Kok, 2021. "Are active labor market policies (cost-)effective in the long run? Evidence from the Netherlands," Empirical Economics, Springer, vol. 60(4), pages 1719-1746, April.
    63. Emmler, Julian & Fitzenberger, Bernd, 2021. "Temporary overpessimism: Job loss expectations following a large negative employment shock," IAB-Discussion Paper 202105, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    64. Lechner, Michael & Scioch, Patrycja & Wunsch, Conny, 2013. "Do Firms Benefit from Active Labour Market Policies?," Working papers 2013/11, Faculty of Business and Economics - University of Basel.
    65. Lechner, Michael & Hille, Adrian & Cabane, Charlotte, 2015. "Mozart or Pelé? The effects of teenagers? participation in music and sports," CEPR Discussion Papers 10556, C.E.P.R. Discussion Papers.
    66. Yang, Shu & Imbens, Guido W. & Cui, Zhanglin & Faries, Douglas E. & Kadziola, Zbigniew, 2015. "Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments," Research Papers 3381, Stanford University, Graduate School of Business.
    67. Lombardi, Stefano, 2019. "Threat effects of monitoring and unemployment insurance sanctions: evidence from two reforms," Working Paper Series 2019:22, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    68. Wunsch, Conny & Strobl, Renate, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Designs," IZA Discussion Papers 11626, Institute of Labor Economics (IZA).
    69. Tim Pawlowski & Ute Schüttoff & Paul Downward & Michael Lechner, 2018. "Can Sport Really Help to Meet the Millennium Development Goals? Evidence From Children in Peru," Journal of Sports Economics, , vol. 19(4), pages 498-521, May.
    70. Marco Caliendo & Steffen Künn, 2015. "Getting back into the labor market: the effects of start-up subsidies for unemployed females," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(4), pages 1005-1043, October.
    71. Juan S. MUNOZ-MORALES & Ruchi SINGH, 2021. "Do School Shootings Erode Property Values?," Working Papers 2021-iFlame-01, IESEG School of Management.
    72. Pohlmeier, Winfried & Seiberlich, Ruben & Uysal, Selver Derya, 2016. "A simple and successful shrinkage method for weighting estimators of treatment effects," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 512-525.
    73. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org.
    74. Felfe, Christina & Lechner, Michael & Thiemann, Petra, 2016. "After-school care and parents' labor supply," Labour Economics, Elsevier, vol. 42(C), pages 64-75.
    75. Schuenemann, Benjamin & Lechner, Michael & Wunsch, Conny, 2011. "Do Long-term Unemployed Workers Benefit from Targeted Wage Subsidies," Economics Working Paper Series 1126, University of St. Gallen, School of Economics and Political Science.
    76. Delius, Antonia & Sterck, Olivier, 2024. "Cash transfers and micro-enterprise performance: Theory and quasi-experimental evidence from Kenya," Journal of Development Economics, Elsevier, vol. 167(C).
    77. Jawid, Asadullah & Khadjavi, Menusch, 2019. "Adaptation to climate change in Afghanistan: Evidence on the impact of external interventions," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 64-82.
    78. Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    79. Nazmi Sari & Michael Lechner, 2015. "Long-Run Health Effects of Sports And Exercise In Canada," Working Papers 150018, Canadian Centre for Health Economics.
    80. Lietzmann, Torsten & Schmelzer, Paul & Wiemers, Jürgen, 2017. "Marginal employment for welfare recipients: stepping stone or obstacle?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 31(4), pages 394-414.
    81. Münch, Florian Anselm & Scheifele, Fabian, 2023. "Nurturing national champions? Local content in solar auctions and firm innovation," Energy Policy, Elsevier, vol. 179(C).
    82. Arun Advani & Tymon Sloczynski, 2013. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP64/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    83. Feng, Tong & Lin, Zhongguo & Du, Huibin & Qiu, Yueming & Zuo, Jian, 2021. "Does low-carbon pilot city program reduce carbon intensity? Evidence from Chinese cities," Research in International Business and Finance, Elsevier, vol. 58(C).
    84. Caliendo, Marco & Künn, Steffen & Weißenberger, Martin, 2016. "Personality Traits and the Evaluation of Start-Up Subsidies," IZA Discussion Papers 9628, Institute of Labor Economics (IZA).
    85. Brändle, Tobias & Fervers, Lukas, 2018. "Give it Another Try: What are the Effects of a Job Creation Scheme Especially Designed for Hard-to-Place Workers?," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181536, Verein für Socialpolitik / German Economic Association.
    86. Andrew M. Jones & James Lomas & Peter T. Moore & Nigel Rice, 2016. "A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 951-974, October.
    87. Marilena Furno & Francesco Caracciolo, 2020. "Multi-valued Double Robust quantile treatment effect," Empirical Economics, Springer, vol. 58(5), pages 2545-2571, May.
    88. Ruud Gerards & Riccardo Welters, 2020. "Liquidity Constraints, Unemployed Job Search and Labour Market Outcomes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 625-646, June.
    89. Renate Strobl & Conny Wunsch, 2017. "Does Voluntary Risk Taking Affect Solidarity? Experimental Evidence from Kenya," CESifo Working Paper Series 6578, CESifo.
    90. Kathrine Graevenitz & Daniel Römer & Alexander Rohlf, 2018. "The Effect of Emission Information on Housing Prices: Quasi-Experimental Evidence from the European Pollutant Release and Transfer Register," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 23-74, January.
    91. Houda Mazhoud & Fraj Chemak & Hatem Belhouchette & Roza Chenoune, 2022. "A Bio-Economic Model for Improving Irrigated Durum Wheat Performance and Regional Profits under Mediterranean Conditions," Agriculture, MDPI, vol. 12(5), pages 1-25, April.
    92. Ongena, Steven & Conlon, Thomas & Huan, Xing, 2020. "Operational Risk Capital," CEPR Discussion Papers 15096, C.E.P.R. Discussion Papers.
    93. Marco Caliendo & Robert Mahlstedt & Oscar A. Mitnik, 2014. "Unobservable, but Unimportant?: The Influence of Personality Traits (and Other Usually Unobserved Variables) for the Evaluation of Labor Market Policies," Discussion Papers of DIW Berlin 1407, DIW Berlin, German Institute for Economic Research.
    94. Michael Lechner & Paul Downward, 2017. "Heterogeneous sports participation and labour market outcomes in England," Applied Economics, Taylor & Francis Journals, vol. 49(4), pages 335-348, January.
    95. Doerr, Annabelle, 2017. "Back to work: The long-term effects of vocational training for female job returners," Freiburg Discussion Papers on Constitutional Economics 17/02, Walter Eucken Institut e.V..
    96. Torsten Lietzmann & Paul Schmelzer & Jürgen Wiemers, 2017. "Marginal employment for welfare recipients: stepping stone or obstacle?," LABOUR, CEIS, vol. 31(4), pages 394-414, December.
    97. Sven Neelsen & Owen O'Donnell, 2017. "Progressive universalism? The impact of targeted coverage on health care access and expenditures in Peru," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 179-203, December.
    98. Cole, Matthew A. & Elliott, Robert J.R. & Okubo, Toshihiro & Zhang, Liyun, 2021. "Importing, outsourcing and pollution offshoring," Energy Economics, Elsevier, vol. 103(C).
    99. Yan, Ji, 2022. "Is WIC effective in improving pregnancy-related outcomes? An empirical reassessment," Economics & Human Biology, Elsevier, vol. 47(C).
    100. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2016. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," IZA Discussion Papers 9706, Institute of Labor Economics (IZA).
    101. Vanessa Ress & Eva‐Maria Wild, 2024. "The impact of integrated care on health care utilization and costs in a socially deprived urban area in Germany: A difference‐in‐differences approach within an event‐study framework," Health Economics, John Wiley & Sons, Ltd., vol. 33(2), pages 229-247, February.
    102. L. Behrenz & L. Delander & J. Månsson, 2016. "Is Starting a Business a Sustainable way out of Unemployment? Treatment Effects of the Swedish Start-up Subsidy," Journal of Labor Research, Springer, vol. 37(4), pages 389-411, December.
    103. Anže Burger & Jochen Kluve & Milan Vodopivec & Matija Vodopivec, 2022. "A comprehensive impact evaluation of active labour market programmes in Slovenia," Empirical Economics, Springer, vol. 62(6), pages 3015-3039, June.
    104. Krumer, Alex & Lechner, Michael, 2016. "First In First Win: Evidence on Unfairness of Round-Robin Tournaments in Mega-Events," Economics Working Paper Series 1611, University of St. Gallen, School of Economics and Political Science.
    105. Joseph Cummins & Brock Smith & Douglas L. Miller & David Eliot Simon, 2023. "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Working papers 2023-07, University of Connecticut, Department of Economics.
    106. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    107. Ellen B. Goldring & Melissa A. Clark & Mollie Rubin & Laura K. Rogers & Jason A. Grissom & Brian Gill & Tim Kautz & Moira McCullough & Michael Neel & Alyson Burnett, "undated". "Changing the Principal Supervisor Role to Better Support Principals: Evidence from the Principal Supervisor Initiative," Mathematica Policy Research Reports 29303291d5a945e1a772aa529, Mathematica Policy Research.
    108. Kenza Benhima & Omar Chafik & Min Fang & Wenxia Tang, 2022. "Short-term Finance, Long-term Effects: Theory and Evidence from Morocco," Working Papers 002003, University of Florida, Department of Economics.
    109. Pedro H. C. Sant'Anna, 2016. "Program Evaluation with Right-Censored Data," Papers 1604.02642, arXiv.org.
    110. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar, 2014. "Unobservable, but Unimportant? The Influence of Personality Traits (and Other Usually Unobserved Variables) for the Estimation of Treatment Effects," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100502, Verein für Socialpolitik / German Economic Association.
    111. Riccardo Di Francesco, 2022. "Aggregation Trees," CEIS Research Paper 546, Tor Vergata University, CEIS, revised 20 Nov 2023.
    112. Heiler, Phillip & Kazak, Ekaterina, 2021. "Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores," Journal of Econometrics, Elsevier, vol. 222(2), pages 1083-1108.
    113. Abdellatif Chatri & Khadija Hadef & Naima Samoudi, 2021. "Micro-econometric evaluation of subsidized employment in morocco: the case of the "Idmaj" program," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-13, December.
    114. Tamara Bischof & Boris Kaiser, 2019. "Who Cares When You Close Down? The Effects of Primary Care Practice Closures on Patients," Diskussionsschriften dp1907, Universitaet Bern, Departement Volkswirtschaft.
    115. Do Xuan Luan & Nguyen Thanh Vu & Kieu Thi Thu Huong & Duong Hang & Siegfried Bauer, 2016. "Is Access to Agribank Credit an Effective Tool in Improving Household Income? Evidence from the Northern Mountainous Region of Vietnam," Asian Social Science, Canadian Center of Science and Education, vol. 12(8), pages 110-110, August.
    116. Zhexiao Lin & Fang Han, 2022. "On regression-adjusted imputation estimators of the average treatment effect," Papers 2212.05424, arXiv.org, revised Jan 2023.
    117. Martin Huber & Michael Lechner & Giovanni Mellace, 2016. "The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 139-160, January.
    118. Gerard J. van den Berg & Johan Vikström, 2022. "Long‐Run Effects of Dynamically Assigned Treatments: A New Methodology and an Evaluation of Training Effects on Earnings," Econometrica, Econometric Society, vol. 90(3), pages 1337-1354, May.
    119. Pedersen, Morten Saaby & Arendt, Jacob Nielsen, 2014. "Bargaining for health: A case study of a collective agreement-based health program for manual workers," Journal of Health Economics, Elsevier, vol. 37(C), pages 123-136.
    120. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    121. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2014. "Workplace Health Promotion and Labour Market Performance of Employees," IZA Discussion Papers 8297, Institute of Labor Economics (IZA).
    122. Alauddin, Mohammad & Rashid Sarker, Md. Abdur & Islam, Zeenatul & Tisdell, Clement, 2020. "Adoption of alternate wetting and drying (AWD) irrigation as a water-saving technology in Bangladesh: Economic and environmental considerations," Land Use Policy, Elsevier, vol. 91(C).
    123. Rotar Laura Južnik, 2018. "The Effects of Expenditures for Labour Market Policy on Unemployment Rate," Business Systems Research, Sciendo, vol. 9(1), pages 55-64, March.
    124. Albanese, Andrea & Cockx, Bart, 2015. "Permanent Wage Cost Subsidies for Older Workers: An Effective Tool for Increasing Working Time and Postponing Early Retirement?," IZA Discussion Papers 8988, Institute of Labor Economics (IZA).
    125. Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779, arXiv.org.
    126. Yihui He & Fang Han, 2023. "On propensity score matching with a diverging number of matches," Papers 2310.14142, arXiv.org, revised Nov 2023.
    127. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    128. Lars Thiel, 2015. "Leave the Drama on the Stage: The Effect of Cultural Participation on Health," SOEPpapers on Multidisciplinary Panel Data Research 767, DIW Berlin, The German Socio-Economic Panel (SOEP).
    129. Gasmi, Farid & Kouakou, Dorgyles & Sanni, Maruf, 2022. "The effect of firm informality on sustainable and responsible innovation in developing countries: Evidence from Nigeria," TSE Working Papers 22-1368, Toulouse School of Economics (TSE).
    130. Emran,M. Shahe & Sun,Yan - GSP05, 2015. "Are the children of uneducated farmers doubly disadvantaged ? farm, nonfarm and intergenerational educational mobility in rural China," Policy Research Working Paper Series 7459, The World Bank.
    131. Pawlowski, Tim & Schüttoff, Ute & Downward, Paul & Lechner, Michael, 2014. "Children’s skill formation in less developed countries – The impact of sports participation," Economics Working Paper Series 1412, University of St. Gallen, School of Economics and Political Science.
    132. Hugo Bodory & Martin Huber & Michael Lechner, 2022. "The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates," Papers 2212.07379, arXiv.org.
    133. Cohen-Zada, Danny & Krumer, Alex & Shapir, Offer Moshe, 2018. "Testing the effect of serve order in tennis tiebreak," Journal of Economic Behavior & Organization, Elsevier, vol. 146(C), pages 106-115.
    134. Anthony Strittmatter & Michael Lechner, 2019. "Sorting on the Used-Car Market After the Volkswagen Emission Scandal," Papers 1908.09609, arXiv.org.
    135. Goller, Daniel & Krumer, Alex, 2019. "Let’s meet as usual: Do games on non-frequent days differ? Evidence from top European soccer leagues," Economics Working Paper Series 1907, University of St. Gallen, School of Economics and Political Science.
    136. van den Berg, Gerard J. & Vikström, Johan, 2019. "Long-Run Effects of Dynamically Assigned Treatments: A New Methodology and an Evaluation of Training Effects on Earnings," IZA Discussion Papers 12470, Institute of Labor Economics (IZA).
    137. Denisova-Schmidt, Elena & Huber, Martin, 2014. "Regional Differences in Perceived Corruption among Ukrainian Firms," Economics Working Paper Series 1407, University of St. Gallen, School of Economics and Political Science.
    138. Conlon, Thomas & Huan, Xing, 2019. "Scaling the twin peaks: Systemic risk and dual regulation," Economics Letters, Elsevier, vol. 178(C), pages 98-101.
    139. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    140. Morikawa, So & Aoyama, Miwa & Kato, Hironori, 2023. "Development of railway station plazas: Impact on land prices of surrounding areas," Transport Policy, Elsevier, vol. 142(C), pages 1-14.
    141. Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
    142. Hagemeier, Jan & Svejnar, Jan & Tyrowicz, Joanna, 2018. "Are Rushed Privatizations Substandard? Analyzing Firm-Level Privatization under Fiscal Pressure," IZA Discussion Papers 11517, Institute of Labor Economics (IZA).
    143. Lechner, Michael, 2013. "Treatment effects and panel data," Economics Working Paper Series 1314, University of St. Gallen, School of Economics and Political Science.
    144. Joanna Tyrowicz & Lucas Augusto van der Velde, 2021. "When Opportunity Knocks: Confronting Theory and Empirics About Dynamics of Gender Wage Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 837-864, June.
    145. Dusan Paredes & Timothy Komarek & Scott Loveridge, 2014. "Assessing the Income and Employment Effects of Shale Gas Extraction Windfalls: Evidence from the Marcellus Region," Documentos de Trabajo en Economia y Ciencia Regional 49, Universidad Catolica del Norte, Chile, Department of Economics, revised Mar 2014.
    146. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    147. Daly, Moira, 2015. "The long term returns of attempting self-employment with regular employment as a fall back option," Labour Economics, Elsevier, vol. 35(C), pages 26-52.
    148. Iqbal, Hamzah & Krumer, Alex, 2019. "Discouragement effect and intermediate prizes in multi-stage contests: Evidence from Davis Cup," European Economic Review, Elsevier, vol. 118(C), pages 364-381.
    149. Diana Cheung & Ysaline Padieu, 2013. "Heterogeneity of the effects of health insurance on household savings: Evidence from rural China," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00848061, HAL.
    150. Marco Caliendo & Stefan Tübbicke, 2019. "Do Start-Up Subsidies for the Unemployed Affect Participants’ Well-Being? A Rigorous Look at (Un-)Intended Consequences of Labor Market Policies," CEPA Discussion Papers 14, Center for Economic Policy Analysis.
    151. Matteo Picchio, 2023. "Microchipped bags and waste sorting," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(1), pages 1-30, January.
    152. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert J. & Smith, Jeffrey A. & Taylor, Evan J., 2015. "Simple Tests for Selection Bias: Learning More from Instrumental Variables," IZA Discussion Papers 9346, Institute of Labor Economics (IZA).
    153. Lukas Fervers, 2016. "Fast track to the labour market or highway to hell? The effect of activation policies on quantity and quality of labour market integration," IAW Discussion Papers 125, Institut für Angewandte Wirtschaftsforschung (IAW).
    154. Davide Viviano & Jelena Bradic, 2021. "Dynamic covariate balancing: estimating treatment effects over time with potential local projections," Papers 2103.01280, arXiv.org, revised Jan 2024.
    155. Lee, Ying-Ying, 2018. "Efficient propensity score regression estimators of multivalued treatment effects for the treated," Journal of Econometrics, Elsevier, vol. 204(2), pages 207-222.
    156. Emmler, Julian & Fitzenberger, Bernd, 2020. "The Role of Unemployment and Job Change When Estimating the Returns to Migration," IZA Discussion Papers 13740, Institute of Labor Economics (IZA).
    157. Nadja van ’t Hoff & Arthur Lewbel & Giovanni Mellace, 2023. "Limited Monotonicity and the Combined Compliers LATE," Boston College Working Papers in Economics 1059, Boston College Department of Economics.
    158. Mörk, Eva & Ottosson, Lillit & Vikman, Ulrika, 2022. "To Work or Not to Work? Effects of Temporary Public Employment on Future Employment and Benefits," IZA Discussion Papers 15071, Institute of Labor Economics (IZA).
    159. Sandra M. Sánchez‐Cañizares & L. Javier Cabeza‐Ramírez & M. Dolores Guerrero‐Baena, 2020. "Evaluation of self‐employment support policies using survival analysis. The discounted flat rate in Andalusia (Spain)," Papers in Regional Science, Wiley Blackwell, vol. 99(5), pages 1389-1411, October.
    160. Emran, M. Shahe & Sun, Yan, 2014. "Are the Children of Uneducated Farmers Doubly Doomed? Farm, Nonfarm and Intergenerational Educational Mobility in Rural China," MPRA Paper 59230, University Library of Munich, Germany.
    161. Cohen-Zada, Danny & Krumer, Alex & Shapir, Offer Moshe, 2017. "Take a Chance on ABBA," IZA Discussion Papers 10878, Institute of Labor Economics (IZA).
    162. Goller, Daniel & Krumer, Alex, 2020. "Let's meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues," European Journal of Operational Research, Elsevier, vol. 286(2), pages 740-754.
    163. Bazzi, Samuel & Sumarto, Sudarno & Suryahadi, Asep, 2015. "It's all in the timing: Cash transfers and consumption smoothing in a developing country," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 267-288.
    164. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
    165. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2017. "Unobservable, but unimportant? The relevance of usually unobserved variables for the evaluation of labor market policies," Labour Economics, Elsevier, vol. 46(C), pages 14-25.
    166. Krumer, Alex & Lechner, Michael, 2017. "First in first win: Evidence on schedule effects in round-robin tournaments in mega-events," European Economic Review, Elsevier, vol. 100(C), pages 412-427.
    167. Brajaraja Mishra, 2019. "Households’ attitude about ecosystem conservation after implementation of the Forest Rights Act, 2006, in Lakhari Valley Wildlife Sanctuary, India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(1), pages 1-23, June.
    168. Diana Cheung & Ysaline Padieu, 2013. "Heterogeneity of the effects of health insurance on household savings: Evidence from rural China," Documents de travail du Centre d'Economie de la Sorbonne 13056, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    169. Siying Guo & Jianxuan Liu & Qiu Wang, 2022. "Effective Learning During COVID-19: Multilevel Covariates Matching and Propensity Score Matching," Annals of Data Science, Springer, vol. 9(5), pages 967-982, October.
    170. Krzysztof Gajowniczek & Tomasz Ząbkowski, 2018. "Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting," Complexity, Hindawi, vol. 2018, pages 1-21, April.
    171. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.
    172. Bertoni, Fabio & Colombo, Massimo G. & Quas, Anita, 2023. "The long-term effects of loan guarantees on SME performance," Journal of Corporate Finance, Elsevier, vol. 80(C).
    173. Alex Krumer & Michael Lechner, 2018. "Midweek Effect On Soccer Performance: Evidence From The German Bundesliga," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 193-207, January.
    174. Cabane, Charlotte & Hille, Adrian & Lechner, Michael, 2016. "Mozart or Pelé? The effects of adolescents' participation in music and sports," Labour Economics, Elsevier, vol. 41(C), pages 90-103.

  53. Martin Huber, 2012. "Identification of Average Treatment Effects in Social Experiments Under Alternative Forms of Attrition," Journal of Educational and Behavioral Statistics, , vol. 37(3), pages 443-474, June.

    Cited by:

    1. Fabrizia Mealli & Barbara Pacini & Elena Stanghellini, 2016. "Identification of Principal Causal Effects Using Additional Outcomes in Concentration Graphs," Journal of Educational and Behavioral Statistics, , vol. 41(5), pages 463-480, October.
    2. Bodory, Hugo & Huber, Martin, 2018. "The causalweight package for causal inference in R," FSES Working Papers 493, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Huber, Martin & Solovyeva, Anna, 2018. "Direct and indirect effects under sample selection and outcome attrition," FSES Working Papers 496, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    4. Markus Frölich & Martin Huber, 2014. "Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1697-1711, December.
    5. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
    6. Hans Fricke & Markus Frölich & Martin Huber & Michael Lechner, 2020. "Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 481-504, August.
    7. Heng Chen & Geoffrey Dunbar & Q. Rallye Shen, 2020. "The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 341-357, Emerald Group Publishing Limited.
    8. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    9. Michela Bia & Martin Huber & Luk'av{s} Laff'ers, 2020. "Double machine learning for sample selection models," Papers 2012.00745, arXiv.org, revised Jul 2021.
    10. Sianesi, Barbara, 2017. "Evidence of randomisation bias in a large-scale social experiment: The case of ERA," Journal of Econometrics, Elsevier, vol. 198(1), pages 41-64.
    11. Barbara Sianesi, 2013. "Dealing with randomisation bias in a social experiment exploiting the randomisation itself: the case of ERA," IFS Working Papers W13/15, Institute for Fiscal Studies.
    12. Simon Calmar Andersen & Louise Beuchert & Phillip Heiler & Helena Skyt Nielsen, 2023. "A Guide to Impact Evaluation under Sample Selection and Missing Data: Teacher's Aides and Adolescent Mental Health," Papers 2308.04963, arXiv.org.
    13. Barbara Sianesi, 2014. "Dealing with randomisation bias in a social experiment: the case of ERA," IFS Working Papers W14/10, Institute for Fiscal Studies.
    14. Dalia Ghanem & Sarojini Hirshleifer & D'esir'e K'edagni & Karen Ortiz-Becerra, 2022. "Correcting Attrition Bias using Changes-in-Changes," Papers 2203.12740, arXiv.org, revised Mar 2024.
    15. Rahul Singh, 2021. "Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection," Papers 2111.05277, arXiv.org.

  54. Martin Huber & Michael Lechner & Conny Wunsch, 2011. "Does leaving welfare improve health? Evidence for Germany," Health Economics, John Wiley & Sons, Ltd., vol. 20(4), pages 484-504, April.
    See citations under working paper version above.
  55. Martin Huber & Michael Lechner & Conny Wunsch & Thomas Walter, 2011. "Do German Welfare‐to‐Work Programmes Reduce Welfare Dependency and Increase Employment?," German Economic Review, Verein für Socialpolitik, vol. 12(2), pages 182-204, May.

    Cited by:

    1. Matsumoto, Kodai, 2022. "The effects of employment support programs on public assistance recipients: The case of a Japanese municipality program," Journal of the Japanese and International Economies, Elsevier, vol. 63(C).
    2. Ivanov, Boris & Pfeiffer, Friedhelm & Pohlan, Laura, 2020. "Do job creation schemes improve the social integration and well-being of the long-term unemployed?," Labour Economics, Elsevier, vol. 64(C).
    3. Andreas Knabe & Ronnie Schöb & Joachim Weimann, 2017. "The subjective well-being of workfare participants: insights from a day reconstruction survey," Applied Economics, Taylor & Francis Journals, vol. 49(13), pages 1311-1325, March.
    4. Katrin Hohmeyer, 2011. "Effectiveness of One-Euro-Jobs: Do programme characteristics matter?," Post-Print hal-00719485, HAL.
    5. Regina T. Riphahn & Christoph Wunder, 2015. "State Dependence in Welfare Receipt: Transitions before and after a Reform," SOEPpapers on Multidisciplinary Panel Data Research 758, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Dengler, Katharina, 2013. "Effectiveness of sequences of One-Euro-Jobs : is it better to do more One-Euro-Jobs or to wait?," IAB-Discussion Paper 201316, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Butschek, Sebastian & Walter, Thomas, 2013. "What active labour market programmes work for immigrants in Europe? A meta-analysis of the evaluation literature," ZEW Discussion Papers 13-056, ZEW - Leibniz Centre for European Economic Research.
    8. Brändle, Tobias & Fervers, Lukas, 2018. "Give it Another Try: What are the Effects of a Job Creation Scheme Especially Designed for Hard-to-Place Workers?," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181536, Verein für Socialpolitik / German Economic Association.
    9. Wapler, Rüdiger & Wolf, Katja & Wolff, Joachim, 2018. "Do active labour market policies for welfare recipients in Germany raise their regional outflow into work? : A matching function approach," IAB-Discussion Paper 201808, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    10. Dengler, Katharina, 2015. "Effectiveness of Sequences of Classroom Training for Welfare Recipients: What works best in West Germany?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113119, Verein für Socialpolitik / German Economic Association.
    11. Hohmeyer, Katrin & Wolff, Joachim, 2015. "Selektivität von Ein-Euro-Job-Ankündigungen," IAB-Forschungsbericht 201502, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Tübbicke, Stefan, 2023. "How sensitive are matching estimates of active labor market policy effects to typically unobserved confounders?," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-26.
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    15. Stephan L. Thomsen & Thomas Walter, 2010. "Temporary Extra Jobs for Immigrants: Merging Lane to Employment or Dead‐End Road in Welfare?," LABOUR, CEIS, vol. 24(s1), pages 114-140, December.
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  56. Martin Huber, 2011. "Testing for covariate balance using quantile regression and resampling methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(12), pages 2881-2899, February.
    See citations under working paper version above.

Software components

  1. Martin Huber & Michael Lechner & Andreas Steinmayr, 2012. "RADIUSMATCH: Stata module to perform distance-weighted radius matching with bias adjustment," Statistical Software Components S457575, Boston College Department of Economics, revised 19 Aug 2014.

    Cited by:

    1. Marloes Lammers & Lucy Kok, 2021. "Are active labor market policies (cost-)effective in the long run? Evidence from the Netherlands," Empirical Economics, Springer, vol. 60(4), pages 1719-1746, April.
    2. Gonzalo Cómbita Mora & Óscar Pérez Rodríguez, 2020. "International Remittances and Child Welfare: A Case Study on Cali Colombia," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 86(3), pages 73-103, November.

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