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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. Maik Hamjediers & Maximilian Sprengholz, 2023. "Measuring associations and evaluating forecasts of categorical and discrete variables," German Stata Conference 2023 06, Stata Users Group.
    2. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024. "Model Averaging and Double Machine Learning," Papers 2401.01645, arXiv.org.
    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. 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).
    5. 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.
    6. 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.
    7. 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.

  3. 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. 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.
    2. 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.
    3. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2021. "Optimal Price Targeting," CESifo Working Paper Series 9439, CESifo.

  4. 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. 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.
    2. 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.
    3. 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.
    4. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
    5. Feine, Gregor & Groh, Elke D. & von Loessl, Victor & Wetzel, Heike, 2023. "The double dividend of social information in charitable giving: Evidence from a framed field experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    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).

  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. Dainis Zegners & Uwe Sunde & Anthony Strittmatter, 2020. "Decisions and Performance Under Bounded Rationality: A Computational Benchmarking Approach," CESifo Working Paper Series 8341, CESifo.
    2. Uwe Sunde & Dainis Zegners & Anthony Strittmatter, 2022. "Speed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence," CESifo Working Paper Series 9546, CESifo.
    3. 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.
    4. 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).
    5. Künn, Steffen & Seel, Christian & Zegners, Dainis, 2020. "Cognitive Performance in the Home Office - Evidence from Professional Chess," IZA Discussion Papers 13491, Institute of Labor Economics (IZA).
    6. 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.
    7. Jose De Sousa & Benoit Schmutz, 2022. "Peer Competition: Evidence from 5- to 95-Year-olds," Working Papers 2022-04, Center for Research in Economics and Statistics.
    8. Farbmacher, Helmut & Kögel, Heinrich & Spindler, Martin, 2021. "Heterogeneous effects of poverty on attention," Labour Economics, Elsevier, vol. 71(C).

  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.

    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).

  7. 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.

  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. Aggarwal, Mayank & Chakrabarti, Anindya S. & Chatterjee, Chirantan & Higgins, Matthew J., 2023. "Research and market structure: Evidence from an antibiotic-resistant pathogenic outbreak," Research Policy, Elsevier, vol. 52(1).
    2. Inge van den Bijgaart & Davide Cerruti, 2020. "The Effect of Information on Market Activity; Evidence from Vehicle Recalls," CESifo Working Paper Series 8636, CESifo.
    3. 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).
    4. Hasan, Iftekhar & Noth, Felix & Tonzer, Lena, 2020. "Cultural norms and corporate fraud: Evidence from the Volkswagen scandal," IWH Discussion Papers 24/2020, Halle Institute for Economic Research (IWH).
    5. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    6. Gøril L. Andreassen & Jo Thori Lind, 2022. "Climate, Technology and Value: Insights from the First Decade with Mass-Consumption of Electric Vehicles," CESifo Working Paper Series 9814, CESifo.

  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. 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.

  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. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.

  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. 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.
    2. 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).
    3. 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.
    4. 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).

  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. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    2. 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.
    3. 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.
    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. Quigley, David T. & Che, Yuyuan & Yasar, Mahmut & Rejesus, Roderick M., 2023. "Cover Crop Adoption and Climate Risks: An Application of Causal Random Forests," 2023 Annual Meeting, July 23-25, Washington D.C. 335586, Agricultural and Applied Economics Association.

  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).

  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. Daniel Goller, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Papers 2008.07165, arXiv.org.
    2. Harsh Parikh & Carlos Varjao & Louise Xu & Eric Tchetgen Tchetgen, 2022. "Validating Causal Inference Methods," Papers 2202.04208, arXiv.org, revised Jul 2022.
    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. 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).
    5. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    6. 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.
    7. 'Agoston Reguly, 2021. "Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers 2106.11640, arXiv.org, revised Oct 2021.
    8. 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.
    9. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
    10. 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.
    11. 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.
    12. Xinru WANG & Nina DELIU & NARITA Yusuke & 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).
    13. 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".
    14. 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.
    15. 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.
    16. Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
    17. 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.
    18. Daniel Jacob, 2021. "CATE meets ML -- The Conditional Average Treatment Effect and Machine Learning," Papers 2104.09935, arXiv.org, revised Apr 2021.
    19. 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).
    20. 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.
    21. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Apr 2024.
    22. Boller, Daniel & Lechner, Michael & Okasa, Gabriel, 2021. "The Effect of Sport in Online Dating: Evidence from Causal Machine Learning," IZA Discussion Papers 14259, Institute of Labor Economics (IZA).
    23. Yiyi Huo & Yingying Fan & Fang Han, 2023. "On the adaptation of causal forests to manifold data," Papers 2311.16486, arXiv.org, revised Dec 2023.
    24. 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.
    25. 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.
    26. Haupt, Johannes & Lessmann, Stefan, 2022. "Targeting customers under response-dependent costs," European Journal of Operational Research, Elsevier, vol. 297(1), pages 369-379.
    27. 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.
    28. 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.
    29. Riccardo Di Francesco, 2022. "Aggregation Trees," CEIS Research Paper 546, Tor Vergata University, CEIS, revised 20 Nov 2023.
    30. 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.
    31. Joshua Angrist & Brigham Frandsen, 2019. "Machine Labor," NBER Working Papers 26584, National Bureau of Economic Research, Inc.
    32. 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".
    33. 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.
    34. Michael Zimmert & Michael Lechner, 2019. "Nonparametric estimation of causal heterogeneity under high-dimensional confounding," Papers 1908.08779, arXiv.org.
    35. 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".
    36. Daniel Jacob, 2019. "Group Average Treatment Effects for Observational Studies," Papers 1911.02688, arXiv.org, revised Mar 2020.
    37. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    38. 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.
    39. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
    40. Johannes Haupt & Stefan Lessmann, 2020. "Targeting customers under response-dependent costs," Papers 2003.06271, arXiv.org, revised Aug 2021.
    41. 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.
    42. Elliott Ash & Sergio Galletta & Tommaso Giommoni, 2021. "A Machine Learning Approach to Analyze and Support Anti-Corruption Policy," CESifo Working Paper Series 9015, CESifo.
    43. 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.
    44. 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.
    45. Rafael Quintana, 2023. "Embracing complexity in social science research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 15-38, February.
    46. Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
    47. 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.
    48. 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).
    49. 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.
    50. 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.

  16. 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. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    2. 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).
    3. 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.
    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. 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).
    7. Paul Clarke & Annalivia Polselli, 2023. "Double Machine Learning for Static Panel Models with Fixed Effects," Papers 2312.08174, arXiv.org, revised Dec 2023.
    8. 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.
    9. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
    10. Ulrike Unterhofer & Conny Wunsch, 2022. "Macroeconomic Effects of Active Labour Market Policies: A Novel Instrumental Variables Approach," Papers 2211.12437, arXiv.org.
    11. 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.
    12. 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.
    13. Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
    14. Miller, Steve, 2020. "Causal forest estimation of heterogeneous and time-varying environmental policy effects," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    15. 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.
    16. 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.
    17. Nora Bearth & Michael Lechner, 2024. "Causal Machine Learning for Moderation Effects," Papers 2401.08290, arXiv.org, revised Apr 2024.
    18. 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.
    19. Anna Baiardi & Andrea A. Naghi, 2021. "The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies," Papers 2101.00878, arXiv.org.
    20. Sansone, Dario & Zhu, Anna, 2021. "Using Machine Learning to Create an Early Warning System for Welfare Recipients," IZA Discussion Papers 14377, Institute of Labor Economics (IZA).
    21. Strittmatter, Anthony, 2019. "What is the Value Added by using Causal Machine Learning Methods in a Welfare Experiment Evaluation?," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203499, Verein für Socialpolitik / German Economic Association.
    22. Pytka, Krzysztof & Gulyas, Andreas, 2021. "Understanding the Sources of Earnings Losses After Job Displacement: A Machine-Learning Approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242402, Verein für Socialpolitik / German Economic Association.
    23. 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.
    24. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    25. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    26. 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.
    27. 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).
    28. 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.

  17. 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. Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
    2. 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.
    3. Pohlan, Laura, 2019. "Unemployment and social exclusion," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 273-299.
    4. 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).
    5. 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.
    6. 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".
    7. 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.
    8. 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.
    9. Stefan Tübbicke, 2020. "Entropy Balancing for Continuous Treatments," CEPA Discussion Papers 21, Center for Economic Policy Analysis.
    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. 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.
    12. 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.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. 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).
    18. 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.
    19. 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.
    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. 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.
    22. 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.
    23. Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
    24. 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.
    25. 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).
    26. Iga Magda & Katarzyna Sałach, 2021. "Gender pay gaps in domestic and foreign-owned firms," Empirical Economics, Springer, vol. 61(4), pages 2237-2263, October.
    27. Albanese, Andrea & Gallo, Giovanni, 2020. "Buy Flexible, Pay More: The Role of Temporary Contracts on Wage Inequality," IZA Discussion Papers 13008, Institute of Labor Economics (IZA).
    28. 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.
    29. 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.
    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. 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.
    32. 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.
    33. Boller, Daniel & Lechner, Michael & Okasa, Gabriel, 2021. "The Effect of Sport in Online Dating: Evidence from Causal Machine Learning," IZA Discussion Papers 14259, Institute of Labor Economics (IZA).
    34. 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.
    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. Strittmatter, Anthony, 2019. "What is the Value Added by using Causal Machine Learning Methods in a Welfare Experiment Evaluation?," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203499, Verein für Socialpolitik / German Economic Association.
    37. 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).
    38. 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.
    39. 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.
    40. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    41. 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).
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
    47. 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.
    48. Anthony Strittmatter & Michael Lechner, 2019. "Sorting on the Used-Car Market After the Volkswagen Emission Scandal," Papers 1908.09609, arXiv.org.
    49. Michael Lechner & Jana Mareckova, 2022. "Modified Causal Forest," Papers 2209.03744, arXiv.org.
    50. 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.
    51. 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.
    52. 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.
    53. 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).

  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. 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. Junquera, Álvaro F., 2024. "More money, more effect? Employment effects of job search programs in Veneto," SocArXiv rjshu, Center for Open Science.
    12. 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).
    13. 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).
    14. 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).

  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. 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.
    2. Alexander Spermann, 2015. "How to fight long-term unemployment: lessons from Germany," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-15, December.
    3. 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.
    4. Ulrike Unterhofer & Conny Wunsch, 2022. "Macroeconomic Effects of Active Labour Market Policies: A Novel Instrumental Variables Approach," Papers 2211.12437, arXiv.org.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    11. Bernhard Boockmann & Tobias Brändle, 2019. "Coaching, Counseling, Case‐Working: Do They Help the Older Unemployed Out of Benefit Receipt and Back Into the Labor Market?," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 436-468, November.
    12. 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].
    13. 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..
    14. Miroslav Stefanik, 2021. "Shifting the Training Choice Decision to the Jobseeker—The Slovak Experience," LABOUR, CEIS, vol. 35(2), pages 192-213, June.
    15. Stefan Denzler & Jens Ruhose & Stefan C. Wolter, 2022. ""The double-dividend of training" - Labour market effects of work-related continuous education in Switzerland," Economics of Education Working Paper Series 0196, University of Zurich, Department of Business Administration (IBW).
    16. 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].
    17. 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.
    18. Spermann, Alexander, 2014. "Zehn Jahre Hartz IV – Was hilft Langzeitarbeitslosen wirklich?," IZA Standpunkte 76, Institute of Labor Economics (IZA).
    19. Doerr, Annabelle, 2022. "Vocational training for female job returners - Effects on employment, earnings and job quality," Labour Economics, Elsevier, vol. 75(C).
    20. 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.
    21. 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.
    22. Junquera, Álvaro F., 2024. "More money, more effect? Employment effects of job search programs in Veneto," SocArXiv rjshu, Center for Open Science.
    23. 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.
    24. 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).
    25. 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).
    26. 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.
    27. 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).

  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. 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.
    2. 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.
    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. 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.
    2. 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.
    3. 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.
    4. Bauernschuster, Stefan & Driva, Anastasia & Hornung, Erik, 2018. "Bismarck's Health Insurance and the Mortality Decline," IZA Discussion Papers 11628, Institute of Labor Economics (IZA).
    5. 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.
    6. 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.
    7. Daniel Gallardo‐Albarrán, 2020. "Sanitary infrastructures and the decline of mortality in Germany, 1877–1913," Economic History Review, Economic History Society, vol. 73(3), pages 730-757, August.
    8. Otrachshenko, Vladimir & Popova, Olga & Solomin, Pavel, 2017. "Health Consequences of the Russian Weather," Ecological Economics, Elsevier, vol. 132(C), pages 290-306.
    9. 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.
    10. Zhang, Jianhong, 2022. "Liability of emergingness and EMNEs’ cross-border acquisition completion: A legitimacy perspective," International Business Review, Elsevier, vol. 31(2).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. T Azomahou & Bity Diene & Mbaye Diene & Luc Soete, 2015. "Optimal health investment and preferences structure," CERDI Working papers halshs-01144802, HAL.
    16. 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.
    17. Gallardo-Albarrán, Daniel, 2018. "Health and economic development since 1900," Economics & Human Biology, Elsevier, vol. 31(C), pages 228-237.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Fretz Stephan & Gorgas Christoph, 2015. "Regionaler Nutzen von Verkehrsinfrastruktur-Erweiterungen: Evidenz vom Schweizer Autobahnnetz," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(15), pages 57-71, March.
    23. 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.

  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. 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.
    2. Biewen, Martin & Fitzenberger, Bernd & de Lazzer, Jakob, 2017. "Rising wage inequality in Germany: Increasing heterogeneity and changing selection into full-time work," ZEW Discussion Papers 17-048, ZEW - Leibniz Centre for European Economic Research.
    3. 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.
    4. Melanie Arntz & Stephan Dlugosz & Ralf A. Wilke, 2017. "The Sorting of Female Careers after First Birth: A Competing Risks Analysis of Maternity Leave Duration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 689-716, October.
    5. 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.

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. 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.
  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. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.

  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," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(2), pages 677-717, April.
    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. Miroslav Stefanik, 2021. "Shifting the Training Choice Decision to the Jobseeker—The Slovak Experience," LABOUR, CEIS, vol. 35(2), pages 192-213, June.
    4. 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. 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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