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Anthony Strittmatter

Citations

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

Working papers

  1. Uwe Sunde & Dainis Zegners & Anthony Strittmatter, 2022. "Speed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence," Papers 2201.10808, arXiv.org.

    Cited by:

    1. Oliver Gürtler & Lennart Struth & Max Thon, 2022. "Competition and Risk-Taking," ECONtribute Discussion Papers Series 181, University of Bonn and University of Cologne, Germany.
    2. Johannes Carow & Niklas M. Witzig, 2024. "Time Pressure and Strategic Risk-Taking in Professional Chess," Working Papers 2404, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.

  2. Anthony Strittmatter & Conny Wunsch, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," Papers 2102.09207, arXiv.org, revised Feb 2021.

    Cited by:

    1. Marina Bonaccolto-Töpfer & Giovanni Bonaccolto, 2023. "Gender wage inequality: new evidence from penalized expectile regression," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 511-535, September.
    2. Maik Hamjediers & Maximilian Sprengholz, 2023. "Measuring associations and evaluating forecasts of categorical and discrete variables," German Stata Conference 2023 06, Stata Users Group.
    3. Matthias Draheim & Peter Schanbacher & Ruben Seiberlich, 2021. "On the effectiveness of case management for people with disabilities," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-16, December.
    4. Pies, Ingo, 2021. "Kapitalismus als System zur Verwirklichung moralischer Anliegen - Ordonomische Denkanstöße," Discussion Papers 2021-01, Martin Luther University of Halle-Wittenberg, Chair of Economic Ethics.
    5. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024. "Model Averaging and Double Machine Learning," Papers 2401.01645, arXiv.org, revised Sep 2024.
    6. Koopmans, Pim & van Lent, Max & Been, Jim, 2024. "Child Penalties and the Gender Gap in Home Production and the Labor Market," IZA Discussion Papers 16871, Institute of Labor Economics (IZA).
    7. Jarle Aarstad & Olav Andreas Kvitastein, 2021. "Is Industry Size a Carrier for Wage Inequality? A Panel Study Addressing Independent Variables of Inherently Different Sizes across Units," JRFM, MDPI, vol. 14(9), pages 1-9, September.
    8. Olga Takács & János Vincze, 2023. "Where is the pain the most acute? The market segments particularly affected by gender wage discrimination in Hungary," CERS-IE WORKING PAPERS 2304, Institute of Economics, Centre for Economic and Regional Studies.
    9. Bonaccolto-Töpfer, Marina & Satlukal, Sascha, 2024. "Gender differences in reservation wages: New evidence for Germany," Labour Economics, Elsevier, vol. 91(C).
    10. Dorothée Averkamp & Christian Bredemeier & Falko Juessen, 2024. "Decomposing gender wage gaps: a family economics perspective," Scandinavian Journal of Economics, Wiley Blackwell, vol. 126(1), pages 3-37, January.

  3. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Causal Machine-Learning Approach," Papers 2103.10251, arXiv.org, revised Sep 2021.

    Cited by:

    1. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
    2. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
    3. Pol Campos-Mercade & Armando N. Meier & Stephan Meier & Devin Pope & Florian H. Schneider & Erik Wengström, 2024. "Incentives to Vaccinate," CESifo Working Paper Series 11379, CESifo.
      • Pol Campos-Mercade & Armando N. Meier & Stephan Meier & Devin Pope & Florian H. Schneider & Erik Wengstroem, 2025. "Incentives to Vaccinate," CEBI working paper series 24-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
      • Pol Campos-Mercade & Armando N. Meier & Stephan Meier & Devin G. Pope & Florian H. Schneider & Erik Wengström, 2024. "Incentives to Vaccinate," NBER Working Papers 32899, National Bureau of Economic Research, Inc.
    4. Achim Ahrens & Alessandra Stampi-Bombelli & Selina Kurer & Dominik Hangartner, 2023. "Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization," Papers 2305.00545, arXiv.org, revised Feb 2024.
    5. Feine, Gregor & Groh, Elke D. & von Loessl, Victor & Wetzel, Heike, 2021. "The double dividend of social information in charitable giving: Evidence from a framed field experiment," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242437, Verein für Socialpolitik / German Economic Association.
    6. Strittmatter, Anthony, 2023. "What is the value added by using causal machine learning methods in a welfare experiment evaluation?," Labour Economics, Elsevier, vol. 84(C).
    7. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2022. "Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs," NBER Working Papers 30469, National Bureau of Economic Research, Inc.

  4. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Machine-Learning Approach," CESifo Working Paper Series 9037, CESifo.

    Cited by:

    1. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
    2. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2021. "Optimal Price Targeting," CESifo Working Paper Series 9439, CESifo.
    3. Achim Ahrens & Alessandra Stampi-Bombelli & Selina Kurer & Dominik Hangartner, 2023. "Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization," Papers 2305.00545, arXiv.org, revised Feb 2024.

  5. Strittmatter, Anthony & Sunde, Uwe & Zegners, Dainis, 2020. "Life cycle patterns of cognitive performance over the long run," Munich Reprints in Economics 84764, University of Munich, Department of Economics.

    Cited by:

    1. Jose De Sousa, "undated". "Peer competition: Evidence from 5- to 95-year-olds," French Stata Users' Group Meetings 2022 03, Stata Users Group.
    2. Künn, Steffen & Seel, Christian & Zegners, Dainis, 2020. "Cognitive Performance in the Home Office - Evidence from Professional Chess," Research Memorandum 021, Maastricht University, Graduate School of Business and Economics (GSBE).
    3. Uwe Sunde & Dainis Zegners & Anthony Strittmatter, 2022. "Speed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence," Papers 2201.10808, arXiv.org.
    4. Farbmacher, Helmut & Kögel, Heinrich & Spindler, Martin, 2021. "Heterogeneous effects of poverty on attention," Labour Economics, Elsevier, vol. 71(C).
    5. Vélez-Coto, María & Rute-Pérez, Sandra & Pérez-García, Miguel & Caracuel, Alfonso, 2021. "Unemployment and general cognitive ability: A review and meta-analysis," Journal of Economic Psychology, Elsevier, vol. 87(C).
    6. Minkyu Shin & Jin Kim & Minkyung Kim, 2020. "Measuring Human Adaptation to AI in Decision Making: Application to Evaluate Changes after AlphaGo," Papers 2012.15035, arXiv.org, revised Jan 2021.
    7. Makarski, Krzysztof & Tyrowicz, Joanna & Komada, Oliwia, 2024. "Capital income taxation and reforming social security in an OLG economy," Journal of Economic Dynamics and Control, Elsevier, vol. 165(C).
    8. Dainis Zegners & Uwe Sunde & Anthony Strittmatter, 2020. "Decisions and Performance Under Bounded Rationality: A Computational Benchmarking Approach," Papers 2005.12638, arXiv.org, revised Dec 2020.
    9. Matthews, Michael J. & Anglin, Aaron H. & Drover, Will & Wolfe, Marcus T., 2024. "Just a number? Using artificial intelligence to explore perceived founder age in entrepreneurial fundraising," Journal of Business Venturing, Elsevier, vol. 39(1).
    10. Mehmet S. Ismail, 2023. "Human and Machine Intelligence in n-Person Games with Partial Knowledge: Theory and Computation," Papers 2302.13937, arXiv.org, revised Feb 2024.
    11. Bilen, Eren & Matros, Alexander, 2023. "The Queen's Gambit: Explaining the superstar effect using evidence from chess," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 307-324.

  6. Dainis Zegners & Uwe Sunde & Anthony Strittmatter, 2020. "Decisions and Performance Under Bounded Rationality: A Computational Benchmarking Approach," Papers 2005.12638, arXiv.org, revised Dec 2020.

    Cited by:

    1. Mehmet S. Ismail, 2023. "Human and Machine Intelligence in n-Person Games with Partial Knowledge: Theory and Computation," Papers 2302.13937, arXiv.org, revised Feb 2024.
    2. Johannes Carow & Niklas M. Witzig, 2024. "Time Pressure and Strategic Risk-Taking in Professional Chess," Working Papers 2404, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.

  7. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.

    Cited by:

    1. 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.
    2. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).

  8. Anthony Strittmatter & Michael Lechner, 2019. "Sorting on the Used-Car Market After the Volkswagen Emission Scandal," Papers 1908.09609, arXiv.org.

    Cited by:

    1. Gøril L. Andreassen & Jo Thori Lind, 2024. "Climate, Technology and Value: Insights from the First Decade with Mass-Consumption of Electric Vehicles," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(7), pages 1783-1844, July.
    2. Hasan, Iftekhar & Noth, Felix & Tonzer, Lena, 2019. "Thou shalt not bear false witness against your customers: Cultural norms and the Volkswagen scandal," IWH Discussion Papers 21/2019, Halle Institute for Economic Research (IWH).
    3. van den Bijgaart, Inge & Cerruti, Davide, 2020. "The effect of information on market activity; evidence from vehicle recalls," Working Papers in Economics 792, University of Gothenburg, Department of Economics.
    4. Mayank Aggarwal & Anindya Chakrabarti & Chirantan Chatterjee & Matthew J. Higgins, 2021. "Research and Market Structure: Evidence from an Antibiotic-Resistant Pathogenic Outbreak," NBER Working Papers 28840, National Bureau of Economic Research, Inc.
    5. Hasan, Iftekhar & Noth, Felix & Tonzer, Lena, 2023. "Cultural norms and corporate fraud: Evidence from the Volkswagen scandal," Journal of Corporate Finance, Elsevier, vol. 82(C).
    6. Marino, M. & Parrotta, P. & Sala, D. & Valletta, G., 2024. "The Volkswagen emissions scandal: Exploring the role of environmental concern and social norms," Journal of Environmental Economics and Management, Elsevier, vol. 127(C).
    7. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.

  9. 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. Masayuki Sawada, 2019. "Noncompliance in randomized control trials without exclusion restrictions," Papers 1910.03204, arXiv.org, revised Jun 2021.
    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. Wallimann, Hannes & Imhof, David & Huber, Martin, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," FSES Working Papers 513, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

  10. Anthony Strittmatter, 2019. "Heterogeneous Earnings Effects of the Job Corps by Gender Earnings: A Translated Quantile Approach," Papers 1908.08721, arXiv.org.

    Cited by:

    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.
    2. Walter D'Lima & Timothy Komarek & Luis A. Lopez, 2023. "Risk perception in housing markets: Evidence from a fighter jet crash," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(4), pages 819-854, July.
    3. Jau-er Chen & Chen-Wei Hsiang, 2019. "Causal Random Forests Model Using Instrumental Variable Quantile Regression," Econometrics, MDPI, vol. 7(4), pages 1-22, December.
    4. 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.
    5. Doss, Christopher & Fricke, Hans & Loeb, Susanna & Doromal, Justin B., 2022. "Engaging girls in math: The unequal effects of text messaging to help parents support early math development," Economics of Education Review, Elsevier, vol. 88(C).

  11. Ralph-C. Bayer & Roland Hodler & Paul A. Raschky & Anthony Strittmatter, 2018. "Expropriations, Property Confiscations and New Offshore Entities: Evidence from the Panama Papers," School of Economics and Public Policy Working Papers 2018-15, University of Adelaide, School of Economics and Public Policy.

    Cited by:

    1. Thea How Choon & Giovanna Marcolongo & Paolo Pinotti, 2024. "Money Talks to Autocrats, Bullets Whistle to Democrats: Political Influence under Different Regimes," CESifo Working Paper Series 11323, CESifo.
    2. Niels Johannesen, 2024. "Offshore tax evasion in developing countries: Evidence and policy discussion," WIDER Working Paper Series wp-2024-15, World Institute for Development Economic Research (UNU-WIDER).
    3. Deku, Solomon Y. & Lim, King Yoong, 2024. "Oil price effects on optimal extraction–exploration and offshore entities: An applied-theoretical and empirical investigation in oil-rich economies," Energy Economics, Elsevier, vol. 129(C).
    4. Kern, Andreas & Nosrati, Elias & Reinsberg, Bernhard & Sevinc, Dilek, 2023. "Crash for cash: Offshore financial destinations and IMF programs," European Journal of Political Economy, Elsevier, vol. 78(C).
    5. Di Maio,Michele & Elmallakh,Nelly Youssef Louis William & Leone Sciabolazza,Valerio, 2024. "News Sentiment in Destination Countries and Migration Choices : Evidence from Libya," Policy Research Working Paper Series 10754, The World Bank.
    6. Silvia Marchesi & Giovanna Marcolongo, 2023. "Knockin' on H(e)aven's door. Financial crises and hidden wealth," Working Papers 518, University of Milano-Bicocca, Department of Economics.
    7. Keith E. Maskus & Alessandro Peri & Anna Rubinchik, 2021. "Hiding Filthy Lucre in Plain Sight: Theory and Identification of Business-Based Money Laundering," CESifo Working Paper Series 9019, CESifo.

  12. Anthony Strittmatter, 2018. "What Is the Value Added by Using Causal Machine Learning Methods in a Welfare Experiment Evaluation?," Papers 1812.06533, arXiv.org, revised Dec 2021.

    Cited by:

    1. Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021. "Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
    2. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," Economics Working Paper Series 1901, University of St. Gallen, School of Economics and Political Science.
    3. Kevin Credit & Matthew Lehnert, 2024. "A structured comparison of causal machine learning methods to assess heterogeneous treatment effects in spatial data," Journal of Geographical Systems, Springer, vol. 26(4), pages 483-510, October.
    4. Anna Baiardi & Andrea A. Naghi, 2021. "The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies," Papers 2101.00878, arXiv.org.
    5. Anna Baiardi & Andrea A. Naghi, 2021. "The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies," Tinbergen Institute Discussion Papers 21-001/V, Tinbergen Institute.

  13. Roland Hodler & Paul Raschky & Anthony Strittmatter, 2018. "Religion and Terrorism: Evidence from Ramadan Fasting," Papers 1810.09869, arXiv.org, revised Mar 2020.

    Cited by:

    1. Kikuta,Kyosuke, 2022. "Rainy Friday: religious participation and protests," IDE Discussion Papers 859, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    2. Kyosuke Kikuta, 2024. "Rainy Friday: Religious Participation and Protests," Journal of Conflict Resolution, Peace Science Society (International), vol. 68(7-8), pages 1608-1635, August.

  14. Roland Hodler & Paul A. Raschky & Anthony Strittmatter, 2018. "Religiosity and Terrorism: Evidence from Ramadan Fasting," CESifo Working Paper Series 7313, CESifo.

    Cited by:

    1. Mahmood, Rafat & Jetter, Michael, 2019. "Military Intervention via Drone Strikes," IZA Discussion Papers 12318, Institute of Labor Economics (IZA).
    2. Birkholz, Carlo & Gomtsyan, David, 2023. "Immigrant religious practices and criminality: The case of Ramadan," Journal of Comparative Economics, Elsevier, vol. 51(1), pages 90-104.

  15. Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Papers 1810.13237, arXiv.org, revised Dec 2018.

    Cited by:

    1. Federica Mascolo & Nora Bearth & Fabian Muny & Michael Lechner & Jana Mareckova, 2024. "From Average Effects to Targeted Assignment: A Causal Machine Learning Analysis of Swiss Active Labor Market Policies," Papers 2410.23322, arXiv.org, revised May 2025.
    2. Engberg, Erik & Görg, Holger & Lodefalk, Magnus & Javed, Farrukh & Längkvist, Martin & Monteiro, Natália & Kyvik Nordås, Hildegunn & Pulito, Giuseppe & Schroeder, Sarah & Tang, Aili, 2023. "AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries," Working Papers 2023:13, Örebro University, School of Business.
    3. Patrick Rehill & Nicholas Biddle, 2022. "Policy learning for many outcomes of interest: Combining optimal policy trees with multi-objective Bayesian optimisation," Papers 2212.06312, arXiv.org, revised Oct 2023.
    4. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Jan 2025.
    5. Fougère, Denis & Jacquemet, Nicolas, 2020. "Policy Evaluation Using Causal Inference Methods," IZA Discussion Papers 12922, Institute of Labor Economics (IZA).
    6. Evan D. Peet & Dana Schultz & Susan Lovejoy & Fuchiang (Rich) Tsui, 2023. "Variation in the infant health effects of the women, infants, and children program by predicted risk using novel machine learning methods," Health Economics, John Wiley & Sons, Ltd., vol. 32(1), pages 194-217, January.
    7. Riccardo Di Francesco, 2022. "Aggregation Trees," CEIS Research Paper 546, Tor Vergata University, CEIS, revised 20 Nov 2023.
    8. Harsh Parikh & Carlos Varjao & Louise Xu & Eric Tchetgen Tchetgen, 2022. "Validating Causal Inference Methods," Papers 2202.04208, arXiv.org, revised Jul 2022.
    9. Jacob, Daniel, 2020. "Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects," IRTG 1792 Discussion Papers 2020-014, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    10. Bart Cockx & Michael Lechner & Joost Bollens, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/998, Ghent University, Faculty of Economics and Business Administration.
    11. Daniele Ballinari & Nora Bearth, 2024. "Improving the Finite Sample Estimation of Average Treatment Effects using Double/Debiased Machine Learning with Propensity Score Calibration," Papers 2409.04874, arXiv.org, revised Jan 2025.
    12. 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.
    13. Daniel Jacob, 2021. "CATE meets ML -- The Conditional Average Treatment Effect and Machine Learning," Papers 2104.09935, arXiv.org, revised Apr 2021.
    14. Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
    15. Matthew L. Comey & Amanda R. Eng & Pauline Leung & Zhuan Pei, 2022. "Supercompliers," Papers 2212.14105, arXiv.org, revised Dec 2024.
    16. Haupt, Johannes & Lessmann, Stefan, 2022. "Targeting customers under response-dependent costs," European Journal of Operational Research, Elsevier, vol. 297(1), pages 369-379.
    17. Robin M. Gubela & Stefan Lessmann & Björn Stöcker, 2024. "Multiple Treatment Modeling for Target Marketing Campaigns: A Large-Scale Benchmark Study," Information Systems Frontiers, Springer, vol. 26(3), pages 875-898, June.
    18. Daniel Jacob, 2019. "Group Average Treatment Effects for Observational Studies," Papers 1911.02688, arXiv.org, revised Mar 2020.
    19. Daniel Boller & Michael Lechner & Gabriel Okasa, 2021. "The Effect of Sport in Online Dating: Evidence from Causal Machine Learning," Papers 2104.04601, arXiv.org.
    20. Daniel Goller & Tamara Harrer & Michael Lechner & Joachim Wolff, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Papers 2106.10141, arXiv.org, revised May 2023.
    21. Burlat, Héloïse, 2024. "Everybody’s got to learn sometime? A causal machine learning evaluation of training programmes for jobseekers in France," Labour Economics, Elsevier, vol. 89(C).
    22. Finn Lattimore & Daniel M. Steinberg & Anna Zhu, 2023. "The Economic Effect of Gaining a New Qualification Later in Life," Papers 2304.01490, arXiv.org, revised Apr 2023.
    23. 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," IZA Discussion Papers 12526, Institute of Labor Economics (IZA).
    24. Climent Quintana-Domeque & Jingya Zeng, 2023. "COVID-19 and mental health: natural experiments of the costs of lockdowns," Discussion Papers 2314, University of Exeter, Department of Economics.
    25. Daniel Goller, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Papers 2008.07165, arXiv.org.
    26. Susan Athey & Guido W. Imbens & Jonas Metzger & Evan M. Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," NBER Working Papers 26566, National Bureau of Economic Research, Inc.
    27. Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org, revised Feb 2025.
    28. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    29. Sushant More & Priya Kotwal & Sujith Chappidi & Dinesh Mandalapu & Chris Khawand, 2024. "Double Machine Learning at Scale to Predict Causal Impact of Customer Actions," Papers 2409.02332, arXiv.org.
    30. 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.
    31. Dana Turjeman & Fred M. Feinberg, 2024. "When the Data Are Out: Measuring Behavioral Changes Following a Data Breach," Marketing Science, INFORMS, vol. 43(2), pages 440-461, March.
    32. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
    33. Silvia Coderoni & Roberto Esposti & Alessandro Varacca, 2024. "How Differently Do Farms Respond to Agri-environmental Policies? A Probabilistic Machine-Learning Approach," Land Economics, University of Wisconsin Press, vol. 100(2), pages 370-397.
    34. Gert Bijnens & Shyngys Karimov & Jozef Konings, 2023. "Does Automatic Wage Indexation Destroy Jobs? A Machine Learning Approach," De Economist, Springer, vol. 171(1), pages 85-117, March.
    35. Vishalie Shah & Julia Hatamyar & Taufik Hidayat & Noemi Kreif, 2025. "Exploring the heterogeneous impacts of Indonesia's conditional cash transfer scheme (PKH) on maternal health care utilisation using instrumental causal forests," Papers 2501.12803, arXiv.org.
    36. Verbeke, Wouter & Olaya, Diego & Guerry, Marie-Anne & Van Belle, Jente, 2023. "To do or not to do? Cost-sensitive causal classification with individual treatment effect estimates," European Journal of Operational Research, Elsevier, vol. 305(2), pages 838-852.
    37. Yiyi Huo & Yingying Fan & Fang Han, 2023. "On the adaptation of causal forests to manifold data," Papers 2311.16486, arXiv.org, revised Dec 2023.
    38. Roberto Esposti, 2022. "The Coevolution of Policy Support and Farmers' Behaviour. An investigation on Italian agriculture over the 2008-2019 period," Working Papers 464, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    39. Santiago Carbo-Valverde & Pedro Cuadros-Solas & Francisco Rodríguez-Fernández, 2020. "A machine learning approach to the digitalization of bank customers: Evidence from random and causal forests," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-39, October.
    40. Riccardo Di Francesco, 2024. "Aggregation Trees," Papers 2410.11408, arXiv.org.
    41. Evan D. Peet & Dana Schultz & Susan Lovejoy & Fuchiang (Rich) Tsui, 2024. "The infant health effects of doulas: Leveraging big data and machine learning to inform cost‐effective targeting," Health Economics, John Wiley & Sons, Ltd., vol. 33(6), pages 1387-1411, June.
    42. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
    43. 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.
    44. Joshua D. Angrist & Brigham Frandsen, 2022. "Machine Labor," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 97-140.
    45. 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.
    46. Achim Ahrens & Alessandra Stampi-Bombelli & Selina Kurer & Dominik Hangartner, 2023. "Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization," Papers 2305.00545, arXiv.org, revised Feb 2024.
    47. Haupt, Johannes & Lessmann, Stefan, 2020. "Targeting Cutsomers Under Response-Dependent Costs," IRTG 1792 Discussion Papers 2020-005, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    48. 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.
    49. Strittmatter, Anthony, 2023. "What is the value added by using causal machine learning methods in a welfare experiment evaluation?," Labour Economics, Elsevier, vol. 84(C).
    50. Kleifgen, Eva & Lang, Julia, 2022. "Should I Train Or Should I Go? Estimating Treatment Effects of Retraining on Regional and Occupational Mobility," VfS Annual Conference 2022 (Basel): Big Data in Economics 264069, Verein für Socialpolitik / German Economic Association.
    51. Olga Takács & János Vincze, 2023. "Where is the pain the most acute? The market segments particularly affected by gender wage discrimination in Hungary," CERS-IE WORKING PAPERS 2304, Institute of Economics, Centre for Economic and Regional Studies.
    52. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    53. Pons Rotger, Gabriel & Rosholm, Michael, 2020. "The Role of Beliefs in Long Sickness Absence: Experimental Evidence from a Psychological Intervention," IZA Discussion Papers 13582, Institute of Labor Economics (IZA).
    54. Rafael Quintana, 2023. "Embracing complexity in social science research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 15-38, February.
    55. Olga Takács & János Vincze, 2023. "Heterogeneous wage structure effects: a partial European East-West comparison," CERS-IE WORKING PAPERS 2305, Institute of Economics, Centre for Economic and Regional Studies.
    56. Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779, arXiv.org.
    57. Axenbeck, Janna & Berner, Anne & Kneib, Thomas, 2022. "What drives the relationship between digitalization and industrial energy demand? Exploring firm-level heterogeneity," ZEW Discussion Papers 22-059, ZEW - Leibniz Centre for European Economic Research.
    58. Xinru WANG & Nina DELIU & Yusuke NARITA & Bibhas CHAKRABORTY, 2023. "SMART-EXAM: Incorporating Participants' Welfare into Sequential Multiple Assignment Randomized Trials," Discussion papers 23081, Research Institute of Economy, Trade and Industry (RIETI).
    59. Roberto Esposti, 2022. "Non-Monetary Motivations Of Agroenvironmental Policies Adoption. A Causal Forest Approach," Working Papers 459, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    60. Haupt, Johannes & Jacob, Daniel & Gubela, Robin M. & Lessmann, Stefan, 2019. "Affordable Uplift: Supervised Randomization in Controlled Exprtiments," IRTG 1792 Discussion Papers 2019-026, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    61. Johannes Haupt & Stefan Lessmann, 2020. "Targeting customers under response-dependent costs," Papers 2003.06271, arXiv.org, revised Aug 2021.
    62. Elliott Ash & Sergio Galletta & Tommaso Giommoni, 2021. "A Machine Learning Approach to Analyze and Support Anti-Corruption Policy," CESifo Working Paper Series 9015, CESifo.
    63. 'Agoston Reguly, 2021. "Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers 2106.11640, arXiv.org, revised Oct 2021.
    64. David Rey-Blanco & Pelayo Arbués & Fernando A. López & Antonio Páez, 2024. "Using machine learning to identify spatial market segments. A reproducible study of major Spanish markets," Environment and Planning B, , vol. 51(1), pages 89-108, January.

  16. 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).

    Cited by:

    1. Laura Pohlan, 2024. "Unemployment’s long shadow: the persistent impact on social exclusion," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 58(1), pages 1-16, December.
    2. Barrera-Osorio, Felipe & Gertler,Paul J. & Nakajima,Nozomi & Patrinos,Harry Anthony, 2020. "Promoting Parental Involvement in Schools : Evidence from Two Randomized Experiments," Policy Research Working Paper Series 9462, The World Bank.
    3. Federica Mascolo & Nora Bearth & Fabian Muny & Michael Lechner & Jana Mareckova, 2024. "From Average Effects to Targeted Assignment: A Causal Machine Learning Analysis of Swiss Active Labor Market Policies," Papers 2410.23322, arXiv.org, revised May 2025.
    4. Anthony Strittmatter & Conny Wunsch, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," Papers 2102.09207, arXiv.org, revised Feb 2021.
    5. Albanese, Andrea & Cappellari, Lorenzo & Leonardi, Marco, 2017. "The Effects of Youth Labor Market Reforms: Evidence from Italian Apprenticeships," IZA Discussion Papers 10766, Institute of Labor Economics (IZA).
    6. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
    7. 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.
    8. Annabelle Doerr & Bernd Fitzenberger & Thomas Kruppe & Marie Paul & Anthony Strittmatter, 2017. "Employment and Earnings Effects of Awarding Training Vouchers in Germany," ILR Review, Cornell University, ILR School, vol. 70(3), pages 767-812, May.
    9. Massimiliano Mazzanti & Antonio Musolesi, 2020. "Modeling Green Knowledge Production and Environmental Policies with Semiparametric Panel Data Regression models," SEEDS Working Papers 1420, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2020.
    10. Anthony Strittmatter & Michael Lechner, 2019. "Sorting on the Used-Car Market After the Volkswagen Emission Scandal," Papers 1908.09609, arXiv.org.
    11. Andrea Albanese & Bart Cockx & Yannick Thuy, 2016. "Working Time Reductions at the End of the Career. Do they Prolong the Time Spent in Employment?," CESifo Working Paper Series 5695, CESifo.
    12. Pohlan, Laura, 2019. "Unemployment and Social Exclusion," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203594, Verein für Socialpolitik / German Economic Association.
    13. Anthony Strittmatter, 2018. "What Is the Value Added by Using Causal Machine Learning Methods in a Welfare Experiment Evaluation?," Papers 1812.06533, arXiv.org, revised Dec 2021.
    14. Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021. "Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
    15. 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.
    16. 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.
    17. Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2020. "Empirical Monte Carlo evidence on estimation of Timing-of-Events models," Working Paper Series 2020:26, IFAU - Institute for Evaluation of Labour Market and Education Policy, revised 05 Jan 2021.
    18. 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.
    19. 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.
    20. 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).
    21. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," Economics Working Paper Series 1901, University of St. Gallen, School of Economics and Political Science.
    22. Weltin, Meike & Hüttel, Silke, 2019. "Farm eco-efficiency: Can sustainable intensification make the difference?," FORLand Working Papers 10 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    23. Doerr, Annabelle, 2017. "Back to work: The Long-term Effects of Vocational Training for Female Job Returners," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168213, Verein für Socialpolitik / German Economic Association.
    24. 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.
    25. 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.
    26. 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.
    27. Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
    28. Diegmann, Andre & Pohlan, Laura & Weber, Andrea, 2024. "Do Politicians Affect Firm Outcomes? Evidence from Connections to the German Federal Parliament," CEPR Discussion Papers 19119, C.E.P.R. Discussion Papers.
    29. 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).
    30. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    31. Felix von Meyerinck & Jonas Romer & Markus Schmid, 2023. "CEO Turnover and Director Reputation," Swiss Finance Institute Research Paper Series 23-87, Swiss Finance Institute.
    32. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
    33. Matthias Draheim & Peter Schanbacher & Ruben Seiberlich, 2021. "On the effectiveness of case management for people with disabilities," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-16, December.
    34. Daniel Boller & Michael Lechner & Gabriel Okasa, 2021. "The Effect of Sport in Online Dating: Evidence from Causal Machine Learning," Papers 2104.04601, arXiv.org.
    35. Mary Ying-Fang Wang & Paul Tuss & Lihong Qi, 2019. "Augmented Weighted Estimators Dealing with Practical Positivity Violation to Causal inferences in a Random Coefficient Model," Psychometrika, Springer;The Psychometric Society, vol. 84(2), pages 447-467, June.
    36. 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," IZA Discussion Papers 12526, Institute of Labor Economics (IZA).
    37. Franziska Zimmert, 2023. "Early child care and the employment potential of mothers: evidence from semi-parametric difference-in-differences estimation," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-22, December.
    38. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    39. Susan Athey & Guido W. Imbens & Jonas Metzger & Evan M. Munro, 2019. "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," NBER Working Papers 26566, National Bureau of Economic Research, Inc.
    40. Albanese, Andrea & Gallo, Giovanni, 2020. "Buy flexible, pay more: The role of temporary contracts on wage inequality," Labour Economics, Elsevier, vol. 64(C).
    41. Lechner, Michael & Strittmatter, Anthony & Knaus, Michael C., 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," CEPR Discussion Papers 12224, C.E.P.R. Discussion Papers.
    42. 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.
    43. Doerr, Annabelle & Strittmatter, Anthony, 2014. "Assignment Mechanisms, Selection Criteria, and the Effectiveness of Training Programs," Economics Working Paper Series 1421, University of St. Gallen, School of Economics and Political Science, revised May 2017.
    44. 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.
    45. Franziska Zimmert & Michael Zimmert, 2024. "Part‐time subsidies and maternal reemployment: Evidence from a difference‐in‐differences analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1149-1171, September.
    46. Michael C. Knaus, 2024. "Treatment Effect Estimators as Weighted Outcomes," Papers 2411.11559, arXiv.org, revised Dec 2024.
    47. Hong Kai, 2017. "School Bond Referendum, Capital Expenditure, and Student Achievement," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 17(4), pages 1-26, October.
    48. Stefan Tubbicke, 2020. "Entropy Balancing for Continuous Treatments," Papers 2001.06281, arXiv.org, revised May 2020.
    49. 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.
    50. Meike Weltin & Silke Hüttel, 2023. "Sustainable Intensification Farming as an Enabler for Farm Eco-Efficiency?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 315-342, January.
    51. Iga Magda & Katarzyna Sałach, 2021. "Gender pay gaps in domestic and foreign-owned firms," Empirical Economics, Springer, vol. 61(4), pages 2237-2263, October.
    52. Sakaue, Katsuki & Wokadala, James, 2022. "Effects of including refugees in local government schools on pupils’ learning achievement: Evidence from West Nile, Uganda," International Journal of Educational Development, Elsevier, vol. 90(C).
    53. Marco Caliendo & Stefan Tübbicke, 2019. "New Evidence on Long-Term Effects of Start-Up Subsidies: Matching Estimates and their Robustness," CEPA Discussion Papers 06, Center for Economic Policy Analysis.
    54. Strittmatter, Anthony, 2023. "What is the value added by using causal machine learning methods in a welfare experiment evaluation?," Labour Economics, Elsevier, vol. 84(C).
    55. Massimiliano Mazzanti & Antonio Musolesi, 2020. "A Semiparametric Analysis of Green Inventions and Environmental Policies," SEEDS Working Papers 0920, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2020.
    56. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    57. Robson, Matthew & Vollmer, Frank & Doğan, Basak Berçin & Grede, Nils, 2024. "Distributional impacts of cash transfers on the multidimensional poverty of refugees: The Emergency Social Safety Net in Turkey," World Development, Elsevier, vol. 179(C).
    58. Bernhard Schmidpeter, 2024. "Does Stress Shorten Your Life? Evidence from Parental Bereavement," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(3), pages 485-518, June.
    59. 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.
    60. Chen, Bowen & Gramig, Ben & Yun, Seong Do, 2020. "A Causal Analysis of the Effect of Conservation Tillage on U.S. Corn and Soybean Yield and Profitability," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304296, Agricultural and Applied Economics Association.
    61. Chen, Jiayuan & Gong, Di & Muckley, Cal, 2020. "Stock market illiquidity, bargaining power and the cost of borrowing," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 181-206.
    62. West, Thales A.P., 2024. "Formal designation of Brazilian indigenous lands linked to small but consistent reductions in deforestation," Ecological Economics, Elsevier, vol. 218(C).

  17. Michael Knaus & Michael Lechner & Anthony Strittmatter, 2017. "Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach," Papers 1709.10279, arXiv.org, revised May 2018.

    Cited by:

    1. Federica Mascolo & Nora Bearth & Fabian Muny & Michael Lechner & Jana Mareckova, 2024. "From Average Effects to Targeted Assignment: A Causal Machine Learning Analysis of Swiss Active Labor Market Policies," Papers 2410.23322, arXiv.org, revised May 2025.
    2. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Jan 2025.
    3. Fougère, Denis & Jacquemet, Nicolas, 2020. "Policy Evaluation Using Causal Inference Methods," IZA Discussion Papers 12922, Institute of Labor Economics (IZA).
    4. Anthony Strittmatter, 2018. "What Is the Value Added by Using Causal Machine Learning Methods in a Welfare Experiment Evaluation?," Papers 1812.06533, arXiv.org, revised Dec 2021.
    5. Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021. "Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
    6. 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.
    7. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," Economics Working Paper Series 1901, University of St. Gallen, School of Economics and Political Science.
    8. Anna Baiardi & Andrea A Naghi, 2024. "The value added of machine learning to causal inference: evidence from revisited studies," The Econometrics Journal, Royal Economic Society, vol. 27(2), pages 213-234.
    9. Bart Cockx & Michael Lechner & Joost Bollens, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/998, Ghent University, Faculty of Economics and Business Administration.
    10. 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.
    11. Daniele Ballinari & Nora Bearth, 2024. "Improving the Finite Sample Estimation of Average Treatment Effects using Double/Debiased Machine Learning with Propensity Score Calibration," Papers 2409.04874, arXiv.org, revised Jan 2025.
    12. Dario Sansone & Anna Zhu, 2020. "Using Machine Learning to Create an Early Warning System for Welfare Recipients," Papers 2011.12057, arXiv.org, revised May 2021.
    13. Andreas Gulyas & Krzysztof Pytka, 2019. "Understanding the Sources of Earnings Losses After Job Displacement: A Machine-Learning Approach," CRC TR 224 Discussion Paper Series crctr224_2019_131, University of Bonn and University of Mannheim, Germany.
    14. Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
    15. Denis Fougère & Nicolas Jacquemet, 2019. "Causal Inference and Impact Evaluation," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 181-200.
    16. Ulrike Unterhofer & Conny Wunsch, 2022. "Macroeconomic Effects of Active Labour Market Policies: A Novel Instrumental Variables Approach," Papers 2211.12437, arXiv.org.
    17. Daniel Goller & Tamara Harrer & Michael Lechner & Joachim Wolff, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Papers 2106.10141, arXiv.org, revised May 2023.
    18. Finn Lattimore & Daniel M. Steinberg & Anna Zhu, 2023. "The Economic Effect of Gaining a New Qualification Later in Life," Papers 2304.01490, arXiv.org, revised Apr 2023.
    19. Ballinari, Daniele, 2024. "Calibrating doubly-robust estimators with unbalanced treatment assignment," Economics Letters, Elsevier, vol. 241(C).
    20. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    21. Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org, revised Feb 2025.
    22. Buhl-Wiggers, Julie & Kerwin, Jason & Muñoz-Morales, Juan S. & Smith, Jeffrey A. & Thornton, Rebecca L., 2020. "Some Children Left Behind: Variation in the Effects of an Educational Intervention," IZA Discussion Papers 13598, Institute of Labor Economics (IZA).
    23. Tomoko Nagai & Takayuki Okuda & Tomoya Nakamura & Yuichiro Sato & Yusuke Sato & Kensaku Kinjo & Kengo Kawamura & Shin Kikuta & Naoto Kumano-go, 2024. "Educational Effects in Mathematics: Conditional Average Treatment Effect depending on the Number of Treatments," Papers 2411.01498, arXiv.org.
    24. Miller, Steve, 2020. "Causal forest estimation of heterogeneous and time-varying environmental policy effects," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    25. 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.
    26. Achim Ahrens & Alessandra Stampi-Bombelli & Selina Kurer & Dominik Hangartner, 2023. "Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization," Papers 2305.00545, arXiv.org, revised Feb 2024.
    27. Pamela Giustinelli & Matthew D. Shapiro, 2018. "SeaTE: Subjective ex ante Treatment Effect of Health on Retirement," Working Papers wp382, University of Michigan, Michigan Retirement Research Center.
    28. Paul S. Clarke & Annalivia Polselli, 2023. "Double Machine Learning for Static Panel Models with Fixed Effects," Papers 2312.08174, arXiv.org, revised Dec 2024.
    29. Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.
    30. Strittmatter, Anthony, 2023. "What is the value added by using causal machine learning methods in a welfare experiment evaluation?," Labour Economics, Elsevier, vol. 84(C).
    31. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    32. Anna Baiardi & Andrea A. Naghi, 2021. "The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies," Papers 2101.00878, arXiv.org.
    33. Olga Takács & János Vincze, 2023. "Heterogeneous wage structure effects: a partial European East-West comparison," CERS-IE WORKING PAPERS 2305, Institute of Economics, Centre for Economic and Regional Studies.
    34. Anna Baiardi & Andrea A. Naghi, 2021. "The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies," Tinbergen Institute Discussion Papers 21-001/V, Tinbergen Institute.
    35. 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.

  18. 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. 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.
    2. Karol Madoń & Iga Magda & Marta Palczyńska & Mateusz Smoter, 2024. "What Works for Whom? Youth Labour Market Policy in Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 1-34.
    3. Junquera, Álvaro F., 2024. "More money, more effect? Employment effects of job search programs in Veneto," SocArXiv rjshu, Center for Open Science.
    4. Massimiliano Bratti & Corinna Ghirelli & Enkelejda Havari & Giulia Santangelo, 2022. "Vocational training for unemployed youth in Latvia," Post-Print hal-03595691, HAL.
    5. 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.
    6. 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.
    7. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    8. 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.
    9. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    10. 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.
    11. 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).
    12. 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).
    13. 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.
    14. 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.

  19. Doerr, Annabelle & Fitzenberger, Bernd & Kruppe, Thomas & Paul, Marie & Strittmatter, Anthony, 2014. "Employment and earnings effects of awarding training vouchers in Germany," IAB-Discussion Paper 201423, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    Cited by:

    1. Dauth, Christine, 2017. "Regional discontinuities and the effectiveness of further training subsidies for low-skilled employees," IAB-Discussion Paper 201707, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Karol Madoń & Iga Magda & Marta Palczyńska & Mateusz Smoter, 2024. "What Works for Whom? Youth Labour Market Policy in Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 1-34.
    3. Stephan, Gesine & Uthmann, Sven, 2014. "Akzeptanz von Vergeltungsmaßnahmen am Arbeitsplatz : Befunde aus einer quasi-experimentellen Untersuchung," IAB-Discussion Paper 201427, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Huber, Martin & Lechner, Michael & Strittmatter, Anthony, 2015. "Direct and Indirect Effects of Training Vouchers for the Unemployed," IZA Discussion Papers 9138, Institute of Labor Economics (IZA).
    5. Junquera, Álvaro F., 2024. "More money, more effect? Employment effects of job search programs in Veneto," SocArXiv rjshu, Center for Open Science.
    6. Massimiliano Bratti & Corinna Ghirelli & Enkelejda Havari & Giulia Santangelo, 2022. "Vocational training for unemployed youth in Latvia," Post-Print hal-03595691, HAL.
    7. 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.
    8. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2014. "Unobservable, but Unimportant? The Influence of Personality Traits (and Other Usually Unobserved Variables) for the Evaluation of Labor Market Policies," IZA Discussion Papers 8337, Institute of Labor Economics (IZA).
    9. Doerr, Annabelle, 2017. "Back to work: The Long-term Effects of Vocational Training for Female Job Returners," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168213, Verein für Socialpolitik / German Economic Association.
    10. Fitzenberger, Bernd & Osikominu, Aderonke & Paul, Marie, 2023. "The effects of training incidence and planned training duration on labor market transitions," Journal of Econometrics, Elsevier, vol. 235(1), pages 256-279.
    11. Nadine Fabritz & Oliver Falck, 2016. "Human Capital in Croatia," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(01), pages 39-42, April.
    12. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    13. Ulrike Unterhofer & Conny Wunsch, 2022. "Macroeconomic Effects of Active Labour Market Policies: A Novel Instrumental Variables Approach," Papers 2211.12437, arXiv.org.
    14. 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," IZA Discussion Papers 12526, Institute of Labor Economics (IZA).
    15. Spermann, Alexander, 2015. "How to Fight Long-Term Unemployment: Lessons from Germany," IZA Discussion Papers 9134, Institute of Labor Economics (IZA).
    16. Lechner, Michael & Strittmatter, Anthony, 2014. "Practical Procedures to Deal with Common Support Problems in Matching Estimation," Economics Working Paper Series 1410, University of St. Gallen, School of Economics and Political Science.
    17. Chiara Natalie Focacci, 2020. "“You reap what you sow”: Do active labour market policies always increase job security? Evidence from the Youth Guarantee," European Journal of Law and Economics, Springer, vol. 49(3), pages 373-429, June.
    18. Rainer Eppel, 2017. "The Effects of a Job-Creation Scheme: Evidence from Regional Variation in Program Capacities," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 56(1), pages 161-190, January.
    19. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    20. Brussig, Martin & Kirsch, Johannes & Schilling, Katharina & Kirchmann, Andrea & Klee, Günther & Kusche, Michel & Maier, Anastasia & Scheu, Tobias, 2022. "Arbeitsförderung von Geflüchteten - Maßnahmen zur Aktivierung und beruflichen Eingliederung," IAQ-Report 2022-03, University of Duisburg-Essen, Institute for Work, Skills and Training (IAQ).
    21. Boockmann, Bernhard & Brändle, Tobias, 2015. "Coaching, Counseling, Case-Working: Do They Help the Older Unemployed Out of Benefit Receipt and Back into the Labor Market?," IZA Discussion Papers 8811, Institute of Labor Economics (IZA).
    22. Denzler, Stefan & Ruhose, Jens & Wolter, Stefan C., 2022. "'The Double Dividend of Training' – Labor Market Effects of Work-Related Continuous Education in Switzerland," IZA Discussion Papers 15619, Institute of Labor Economics (IZA).
    23. 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).
    24. Dauth, Christine, 2016. "Do low-skilled employed workers benefit from further training subsidies?," VfS Annual Conference 2016 (Augsburg): Demographic Change 145533, Verein für Socialpolitik / German Economic Association.
    25. Spermann, Alexander, 2014. "Zehn Jahre Hartz IV – Was hilft Langzeitarbeitslosen wirklich?," IZA Standpunkte 76, Institute of Labor Economics (IZA).
    26. Miroslav Stefanik, 2021. "Shifting the Training Choice Decision to the Jobseeker—The Slovak Experience," LABOUR, CEIS, vol. 35(2), pages 192-213, June.
    27. Kleifgen, Eva & Lang, Julia, 2022. "Should I Train Or Should I Go? Estimating Treatment Effects of Retraining on Regional and Occupational Mobility," VfS Annual Conference 2022 (Basel): Big Data in Economics 264069, Verein für Socialpolitik / German Economic Association.
    28. Bläsche, Alexandra & Brandherm, Ruth & Eckhardt, Christoph & Käpplinger, Bernd & Knuth, Matthias & Kruppe, Thomas & Kuhnhenne, Michaela & Schütt, Petra, 2017. "Qualitätsoffensive strukturierte Weiterbildung in Deutschland," Working Paper Forschungsförderung 025, Hans-Böckler-Stiftung, Düsseldorf.

  20. Doerr, Annabelle & Strittmatter, Anthony, 2014. "Assignment Mechanisms, Selection Criteria, and the Effectiveness of Training Programs," Economics Working Paper Series 1421, University of St. Gallen, School of Economics and Political Science, revised May 2017.

    Cited by:

    1. Huber, Martin & Lechner, Michael & Strittmatter, Anthony, 2015. "Direct and Indirect Effects of Training Vouchers for the Unemployed," IZA Discussion Papers 9138, Institute of Labor Economics (IZA).
    2. Massimiliano Bratti & Corinna Ghirelli & Enkelejda Havari & Giulia Santangelo, 2022. "Vocational training for unemployed youth in Latvia," Post-Print hal-03595691, HAL.
    3. 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.

  21. Paul, Marie & Dörr, Annabelle & Fitzenberger, Bernd & Kruppe, Thomas & Strittmatter, Anthony, 2013. "The Award of a Training Voucher and Labor Market Outcomes," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79918, Verein für Socialpolitik / German Economic Association.

    Cited by:

    1. Thomas Kruppe & Julia Lang, 2018. "Labour market effects of retraining for the unemployed: the role of occupations," Applied Economics, Taylor & Francis Journals, vol. 50(14), pages 1578-1600, March.
    2. Doerr, Annabelle & Strittmatter, Anthony, 2014. "Assignment Mechanisms, Selection Criteria, and the Effectiveness of Training Programs," Economics Working Paper Series 1421, University of St. Gallen, School of Economics and Political Science, revised May 2017.

  22. Strittmatter, Anthony & Sunde, Uwe, 2011. "Health and Economic Development: Evidence from the Introduction of Public Health Care," IZA Discussion Papers 5901, Institute of Labor Economics (IZA).

    Cited by:

    1. Gallardo-Albarrán, Daniel, 2018. "Health and economic development since 1900," Economics & Human Biology, Elsevier, vol. 31(C), pages 228-237.
    2. Laurent Brembilla, 2016. "Endogenous lifetime and economic growth: the roleof the tax rate," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 4(2), pages 247-263, October.
    3. T Azomahou & Bity Diene & Mbaye Diene & Luc Soete, 2015. "Optimal health investment and preferences structure," CERDI Working papers halshs-01144802, HAL.
    4. Olufunmilayo Olayemi Jemiluyi & Ifeoluwa Alao-Owunna, 2020. "A Reconsideration of the Health Status – Economic Growth Nexus: Evaluation of the Gender Differential Effect in Nigeria," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 8(4), pages 217-230.
    5. Pablo Garcia Sanchez & Luca Marchiori & Olivier Pierrard, 2025. "Long-term care expenditures and investment decisions under uncertainty," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(1), pages 1-23, March.
    6. Yang Song & Wenkai Sun, 2016. "Health Consequences of Rural‐to‐Urban Migration: Evidence from Panel Data in China," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1252-1267, October.
    7. Bernard Sarpong & Edward Nketiah-Amponsah & Nkechi S. Owoo, 2020. "Health and Economic Growth Nexus: Evidence from Selected Sub-Saharan African (SSA) Countries," Global Business Review, International Management Institute, vol. 21(2), pages 328-347, April.
    8. Driva, Anastasia & Bauernschuster, Stefan & Hornung, Erik, 2016. "Bismarck’s Health Insurance and the Mortality Decline," VfS Annual Conference 2016 (Augsburg): Demographic Change 145577, Verein für Socialpolitik / German Economic Association.
    9. Yueming Zheng & Yaqian Chen, 2023. "Influence of healthy human capital and environmental regulation on green total factor productivity in China," American Journal of Economics and Sociology, Wiley Blackwell, vol. 82(3), pages 241-261, May.
    10. Ahsan, Henna & Idrees, Dr Muhammad, 2014. "Impact of Health on Earnings: Individual and District Level Analysis for Pakistan," MPRA Paper 56769, University Library of Munich, Germany, revised 20 Jun 2014.
    11. Fretz Stephan & Gorgas Christoph, 2015. "Regionaler Nutzen von Verkehrsinfrastruktur-Erweiterungen: Evidenz vom Schweizer Autobahnnetz," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(1), pages 57-71, March.
    12. Ignacio Amate-Fortes & Almudena Guarnido-Rueda & Agustin Molina-Morales, 2017. "Economic and Social Determinants of Human Development: A New Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 561-577, September.
    13. Gallardo Albarran, Daniel, 2018. "Sanitary infrastructures and the decline of mortality in Germany, 1877-1913," GGDC Research Memorandum GD-176, Groningen Growth and Development Centre, University of Groningen.
    14. Moheddine Younsi & Marwa Bechtini & Mongi Lassoued, 2024. "The relationship between insurance development, population, economic growth, and health expenditures in OECD countries: a panel causality analysis," Future Business Journal, Springer, vol. 10(1), pages 1-19, December.
    15. Xiang Kang & Mingxi Du & Siqin Wang & Haifeng Du, 2022. "Exploring the Effect of Health on Migrants’ Social Integration in China," IJERPH, MDPI, vol. 19(8), pages 1-20, April.
    16. Raffaela Giordano & Mr. Sergi Lanau & Pietro Tommasino & Petia Topalova, 2015. "Does Public Sector Inefficiency Constrain Firm Productivity: Evidence from Italian Provinces," IMF Working Papers 2015/168, International Monetary Fund.
    17. Fabian Siuda & Uwe Sunde, 2021. "Disease and demographic development: the legacy of the plague," Journal of Economic Growth, Springer, vol. 26(1), pages 1-30, March.
    18. Fumagalli, Elena & Pinna Pintor, M & Suhrcke, Marc, 2024. "The impact of health on economic growth: A narrative literature review," Health Policy, Elsevier, vol. 143(C).
    19. Olawumi Dele Awolusi, 2021. "Economic Growth and Socioeconomic Sustainability in BRICS Countries: A Vector Error Correction Modeling Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 13(3), pages 1-23.
    20. Bohne Albrecht & Heinemann Friedrich & Niebel Thomas & Thöne Michael, 2024. "Die Zukunftsquote: ein neuer Kompass für den Bundeshaushalt," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 25(2), pages 113-129.
    21. Brook, Anna & Rendall, Georgia & Hearty, Wendy & Meier, Petra & Thomson, Hilary & Macnamara, Alexandra & Westborne, Rachel & Campbell, Mhairi & McCartney, Gerry, 2024. "What is the relationship between changes in the size of economies and mortality derived population health measures in high income countries: A causal systematic review," Social Science & Medicine, Elsevier, vol. 357(C).
    22. Zhang, Jianhong, 2022. "Liability of emergingness and EMNEs’ cross-border acquisition completion: A legitimacy perspective," International Business Review, Elsevier, vol. 31(2).
    23. Muhammad Arshad & Faisal Abbas & Harald Kächele & Yasir Mehmood & Nasir Mahmood & Klaus Mueller, 2022. "Analyzing the Impact of Government Social Spending, Population Growth and Foreign Remittances on Human Development in Pakistan: Implications for Policy," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(3), pages 1607-1626, June.
    24. Makoto Hirono, 2024. "Population aging, human capital accumulation, and coordination of policies," Journal of Economics, Springer, vol. 143(1), pages 67-85, September.
    25. Saad, Suhaila & Mohamed Nor, Norashidah, 2018. "Health Expenditure and Economic Development in Low-and Middle-Income Countries," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(3), pages 181-189.
    26. Otrachshenko, Vladimir & Popova, Olga & Solomin, Pavel, 2017. "Health Consequences of the Russian Weather," Ecological Economics, Elsevier, vol. 132(C), pages 290-306.
    27. Lee Yong-Shik, 2015. "Call for a New Analytical Model for Law and Development," The Law and Development Review, De Gruyter, vol. 8(1), pages 1-67, June.
    28. Föllmi, Reto & Minsch, Rudolf & Schnell, Fabian, 2016. "What Determines Price Changes and the Distribution of Prices? Evidence from the Swiss CPI," Economics Working Paper Series 1610, University of St. Gallen, School of Economics and Political Science.
    29. Mohammad Mazharul Islam & Mohammad Nazrul Islam Mondal & Haitham Khoj, 2023. "Effects of Health Factors on GDP Growth: Empirical Evidence from Saudi Arabia," Sustainability, MDPI, vol. 15(11), pages 1-22, May.

  23. Fitzenberger, Bernd & Steffes, Susanne & Strittmatter, Anthony, 2010. "Return-to-job during and after maternity leave," ZEW Discussion Papers 10-103, ZEW - Leibniz Centre for European Economic Research.

    Cited by:

    1. Arntz, Melanie & Dlugosz, Stephan & Wilke, Ralf A., 2014. "The sorting of female careers after first birth: A competing risks analysis of maternity leave duration," ZEW Discussion Papers 14-125, ZEW - Leibniz Centre for European Economic Research.
    2. Erdsiek, Daniel, 2017. "Dynamics of overqualification: Evidence from the early career of graduates," ZEW Discussion Papers 17-020, ZEW - Leibniz Centre for European Economic Research.
    3. Martin Biewen & Bernd Fitzenberger & Jakob de Lazzer, 2018. "The role of employment interruptions and part-time work for the rise in wage inequality," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-34, December.
    4. Biewen, Martin & Fitzenberger, Bernd & de Lazzer, Jakob, 2017. "Rising Wage Inequality in Germany: Increasing Heterogeneity and Changing Selection into Full-Time Work," IZA Discussion Papers 11072, Institute of Labor Economics (IZA).
    5. Jonas Wood & Karel Neels, 2019. "Does Mothers’ Parental Leave Uptake Stimulate Continued Employment and Family Formation? Evidence for Belgium," Social Sciences, MDPI, vol. 8(10), pages 1-24, October.

Articles

  1. Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2022. "Heterogeneous Employment Effects of Job Search Programs: A Machine Learning Approach," Journal of Human Resources, University of Wisconsin Press, vol. 57(2), pages 597-636.
    See citations under working paper version above.
  2. 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.
  3. Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021. "Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
    See citations under working paper version above.
  4. Doerr Annabelle & Strittmatter Anthony, 2021. "Identifying Causal Channels of Policy Reforms with Multiple Treatments and Different Types of Selection," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 67-88, January.
    See citations under working paper version above.
  5. Strittmatter, Anthony & Lechner, Michael, 2020. "Sorting in the used-car market after the Volkswagen emission scandal," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    See citations under working paper version above.
  6. Bayer, Ralph-C. & Hodler, Roland & Raschky, Paul A. & Strittmatter, Anthony, 2020. "Expropriations, property confiscations and new offshore entities: Evidence from the Panama Papers," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 132-152.
    See citations under working paper version above.
  7. Anthony Strittmatter & Uwe Sunde & Dainis Zegners, 2020. "Life cycle patterns of cognitive performance over the long run," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(44), pages 27255-27261, November.
    See citations under working paper version above.
  8. Michael Lechner & Anthony Strittmatter, 2019. "Practical procedures to deal with common support problems in matching estimation," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 193-207, February.
    See citations under working paper version above.
  9. Strittmatter, Anthony, 2019. "Heterogeneous earnings effects of the job corps by gender: A translated quantile approach," Labour Economics, Elsevier, vol. 61(C).

    Cited by:

    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.
    2. Walter D'Lima & Timothy Komarek & Luis A. Lopez, 2023. "Risk perception in housing markets: Evidence from a fighter jet crash," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(4), pages 819-854, July.
    3. Jau-er Chen & Chen-Wei Hsiang, 2019. "Causal Random Forests Model Using Instrumental Variable Quantile Regression," Econometrics, MDPI, vol. 7(4), pages 1-22, December.
    4. 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.
    5. Doss, Christopher & Fricke, Hans & Loeb, Susanna & Doromal, Justin B., 2022. "Engaging girls in math: The unequal effects of text messaging to help parents support early math development," Economics of Education Review, Elsevier, vol. 88(C).

  10. 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.
  11. Annabelle Doerr & Bernd Fitzenberger & Thomas Kruppe & Marie Paul & Anthony Strittmatter, 2017. "Employment and Earnings Effects of Awarding Training Vouchers in Germany," ILR Review, Cornell University, ILR School, vol. 70(3), pages 767-812, May.
    See citations under working paper version above.
  12. 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.

    Cited by:

    1. Massimiliano Bratti & Corinna Ghirelli & Enkelejda Havari & Giulia Santangelo, 2022. "Vocational training for unemployed youth in Latvia," Post-Print hal-03595691, HAL.
    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. 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).
    4. Miroslav Stefanik, 2021. "Shifting the Training Choice Decision to the Jobseeker—The Slovak Experience," LABOUR, CEIS, vol. 35(2), pages 192-213, June.
    5. Birca Alic, 2024. "Increasing Sustainable Employment By Involving Organisations In The Vocational Training Of The Unemployed," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 4, pages 34-44, August.

  13. Anthony Strittmatter & Uwe Sunde, 2013. "Health and economic development—evidence from the introduction of public health care," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1549-1584, October.
    See citations under working paper version above.
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