TY - JOUR A1 - Bellmann, Lutz A1 - Caliendo, Marco A1 - Tübbicke, Stefan T1 - The post-reform effectiveness of the new German start-up subsidy for the unemployed JF - Labour-England N2 - The current German start-up subsidy for unemployed individuals underwent a major reform in 2011 that altered key parameters of the program, leading to ambiguous ex ante predictions on the post-reform effectiveness of the program, making a new evaluation necessary. In our descriptive analysis, we find that participants after the reform differ significantly from pre-reform participants in terms of important characteristics and subsequent labor market performance. Our causal analysis reveals positive and sizable treatment effects on the treated regarding employment and income that are larger effects than what was estimated for the pre-reform program. Potential reasons for this are discussed. Y1 - 2018 U6 - https://doi.org/10.1111/labr.12126 SN - 1121-7081 SN - 1467-9914 VL - 32 IS - 3 SP - 293 EP - 319 PB - Wiley CY - Hoboken ER - TY - RPRT A1 - Caliendo, Marco A1 - Tübbicke, Stefan T1 - Design and Effectiveness of Start-Up Subsidies BT - Evidence from a Policy Reform in Germany T2 - CEPA Discussion Papers N2 - While a growing body of literature finds positive impacts of Start-Up Subsidies (SUS) on labor market outcomes of participants, little is known about how the design of these programs shapes their effectiveness and hence how to improve policy. As experimental variation in program design is unavailable, we exploit the 2011 reform of the current German SUS program for the unemployed which strengthened case-workers’ discretionary power, increased entry requirements and reduced monetary support. We estimate the impact of the reform on the program’s effectiveness using samples of participants and non-participants from before and after the reform. To control for time-constant unobserved heterogeneity as well as differential selection patterns based on observable characteristics over time, we combine Difference-in-Differences with inverse probability weighting using covariate balancing propensity scores. Holding participants’ observed characteristics as well as macroeconomic conditions constant, the results suggest that the reform was successful in raising employment effects on average. As these findings may be contaminated by changes in selection patterns based on unobserved characteristics, we assess our results using simulation-based sensitivity analyses and find that our estimates are highly robust to changes in unobserved characteristics. Hence, the reform most likely had a positive impact on the effectiveness of the program, suggesting that increasing entry requirements and reducing support in-creased the program’s impacts while reducing the cost per participant. T3 - CEPA Discussion Papers - 30 KW - Start-Up Subsidies KW - Institutions KW - Policy Reform KW - Difference-in-Differences Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-500056 SN - 2628-653X IS - 30 ER - TY - JOUR A1 - Caliendo, Marco A1 - Tübbicke, Stefan T1 - Design and effectiveness of start-up subsidies BT - evidence from a policy reform in Germany JF - Economic analysis and policy N2 - While a growing body of literature finds positive impacts of Start-Up Subsidies (SUS) on labor market outcomes of participants, little is known about how the design of these programs shapes their effectiveness and hence how to improve policy. As experimental variation in program design is unavailable, we exploit the 2011 reform of the current German SUS program for the unemployed which strengthened caseworkers' discretionary power, increased entry requirements and reduced monetary support. We estimate the impact of the reform on the program's effectiveness using samples of participants and non-participants from before and after the reform. To control for time-constant unobserved heterogeneity as well as differential selection patterns based on observable characteristics over time, we combine Difference-in-Differences with inverse probability weighting using covariate balancing propensity scores. Holding participants' observed characteristics as well as macroeconomic conditions constant, the results suggest that the reform was successful in raising employment effects on average. As these findings may be contaminated by changes in selection patterns based on unobserved characteristics, we assess our results using simulation-based sensitivity analyses and find that our estimates are highly robust to changes in unobserved characteristics. Hence, the reform most likely had a positive impact on the effectiveness of the program, suggesting that increasing entry requirements and reducing support increased the program's impacts while reducing the cost per participant. (C) 2021 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved. KW - start-up subsidies KW - institutions KW - policy reform KW - difference-in-differences Y1 - 2021 U6 - https://doi.org/10.1016/j.eap.2021.02.015 SN - 0313-5926 VL - 70 SP - 333 EP - 340 PB - Elsevier CY - Amsterdam ER - TY - RPRT A1 - Caliendo, Marco A1 - Tübbicke, Stefan T1 - New Evidence on Long-Term Effects of Start-Up Subsidies BT - Matching Estimates and their Robustness T2 - CEPA Discussion Papers N2 - The German start-up subsidy (SUS) program for the unemployed has recently undergone a major make-over, altering its institutional setup, adding an additional layer of selection and leading to ambiguous predictions of the program’s effectiveness. Using propensity score matching (PSM) as our main empirical approach, we provide estimates of long-term effects of the post-reform subsidy on individual employment prospects and labor market earnings up to 40 months after entering the program. Our results suggest large and persistent long-term effects of the subsidy on employment probabilities and net earned income. These effects are larger than what was estimated for the pre-reform program. Extensive sensitivity analyses within the standard PSM framework reveal that the results are robust to different choices regarding the implementation of the weighting procedure and also with respect to deviations from the conditional independence assumption. As a further assessment of the results’ sensitivity, we go beyond the standard selection-on-observables approach and employ an instrumental variable setup using regional variation in the likelihood of receiving treatment. Here, we exploit the fact that the reform increased the discretionary power of local employment agencies in allocating active labor market policy funds, allowing us to obtain a measure of local preferences for SUS as the program of choice. The results based on this approach give rise to similar estimates. Thus, our results indicating that SUS are still an effective active labor market program after the reform do not appear to be driven by “hidden bias”. T3 - CEPA Discussion Papers - 6 KW - Start-Up Subsidies KW - Policy Reform KW - Matching KW - Instrumental Variables Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-426798 SN - 2628-653X IS - 6 ER - TY - JOUR A1 - Caliendo, Marco A1 - Tübbicke, Stefan T1 - Do start-up subsidies for the unemployed affect participants’ well-being? BT - a rigorous look at (un-)intended consequences of labor market policies JF - Evaluation review N2 - Background: The literature on start-up subsidies (SUS) for the unemployed finds positive effects on objective outcome measures such as employment or income. However, little is known about effects on subjective well-being of participants. Knowledge about this is especially important because subsidizing the transition into self-employment may have unintended adverse effects on participants’ well-being due to its risky nature and lower social security protection, especially in the long run. Objective: We study the long-term effects of SUS on subjective outcome indicators of well-being, as measured by the participants’ satisfaction in different domains. This extends previous analyses of the current German SUS program (“Gründungszuschuss”) that focused on objective outcomes—such as employment and income—and allows us to make a more complete judgment about the overall effects of SUS at the individual level. Research design: Having access to linked administrative-survey data providing us with rich information on pretreatment characteristics, we base our analysis on the conditional independence assumption and use propensity score matching to estimate causal effects within the potential outcomes framework. We perform several sensitivity analyses to inspect the robustness of our findings. Results: We find long-term positive effects on job satisfaction but negative effects on individuals’ satisfaction with their social security situation. Supplementary findings suggest that the negative effect on satisfaction with social security may be driven by negative effects on unemployment and retirement insurance coverage. Our heterogeneity analysis reveals substantial variation in effects across gender, age groups, and skill levels. Estimates are highly robust. Y1 - 2020 U6 - https://doi.org/10.1177/0193841X20927237 SN - 1552-3926 SN - 0193-841X VL - 46 IS - 5 SP - 517 EP - 554 PB - Sage Publications CY - Thousand Oaks ER - TY - JOUR A1 - Caliendo, Marco A1 - Tübbicke, Stefan T1 - New evidence on long-term effects of start-up subsidies BT - matching estimates and their robustness JF - Empirical economics N2 - The German start-up subsidy (SUS) program for the unemployed has recently undergone a major makeover, altering its institutional setup, adding an additional layer of selection and leading to ambiguous predictions of the program's effectiveness. Using propensity score matching (PSM) as our main empirical approach, we provide estimates of long-term effects of the post-reform subsidy on individual employment prospects and labor market earnings up to 40 months after entering the program. Our results suggest large and persistent long-term effects of the subsidy on employment probabilities and net earned income. These effects are larger than what was estimated for the pre-reform program. Extensive sensitivity analyses within the standard PSM framework reveal that the results are robust to different choices regarding the implementation of the weighting procedure and also with respect to deviations from the conditional independence assumption. As a further assessment of the results' sensitivity, we go beyond the standard selection-on-observables approach and employ an instrumental variable setup using regional variation in the likelihood of receiving treatment. Here, we exploit the fact that the reform increased the discretionary power of local employment agencies in allocating active labor market policy funds, allowing us to obtain a measure of local preferences for SUS as the program of choice. The results based on this approach give rise to similar estimates. Thus, our results indicating that SUS are still an effective active labor market program after the reform do not appear to be driven by "hidden bias." KW - start-up subsidies KW - policy reform KW - matching KW - instrumental variables Y1 - 2019 U6 - https://doi.org/10.1007/s00181-019-01701-9 SN - 0377-7332 SN - 1435-8921 VL - 59 IS - 4 SP - 1605 EP - 1631 PB - Physica-Verlag CY - Heidelberg ER - TY - JOUR A1 - Caliendo, Marco A1 - Tübbicke, Stefan T1 - Der Gründungszuschuss für Arbeitslose nach der Reform 2011 BT - ein Erfolg wie seine Vorgänger JF - IAB-Kurzbericht : aktuelle Analysen aus dem Institut für Arbeitsmarkt- und Berufsforschung N2 - Mit der Reform des Gründungszuschusses im Jahr 2011 wurden die Rahmenbedingungen der Gründungsförderung für Arbeitslose im Sozialgesetzbuch III umfassend reformiert und die Förderzahlen reduzierten sich drastisch. Insgesamt ist das Arbeitsmarktinstrument weiterhin ein Erfolg: Die meisten Geförderten sind auch knapp 3,5 Jahre nach der Gründung noch selbstständig und etwa ein Drittel von ihnen hat mindestens einen Beschäftigen. Von denjenigen, die ihre Selbstständigkeit inzwischen beendet haben, sind die meisten sozialversicherungspflichtig beschäftigt. Damit haben Geförderte eine deutlich höhere Beschäftigungsquote als vergleichbare Personen ohne diese Förderung. Auch ihre monatlichen Nettoverdienste sowie ihre Jobzufriedenheit sind höher. Verbesserungspotenzial gibt es allerdings bei der sozialen Absicherung: Geförderte zahlen seltener in eine Rentenversicherung oder in die Arbeitslosenversicherung ein und sind mit ihrer sozialen Absicherung unzufriedener als vergleichbare Personen. Y1 - 2021 UR - https://doku.iab.de/kurzber/2021/kb2021-28.pdf SN - 0942-167X VL - 28 PB - IAB CY - Nürnberg ER - TY - RPRT A1 - Caliendo, Marco A1 - Tübbicke, Stefan T1 - Do Start-Up Subsidies for the Unemployed Affect Participants’ Well-Being? BT - A Rigorous Look at (Un-)Intended Consequences of Labor Market Policies T2 - CEPA Discussion Papers N2 - We estimate the long-term effects of start-up subsidies (SUS) for the unemployed on subjective outcome indicators of well-being, as measured by the participants’ satisfaction in different domains. This extends previous analyses of the current German SUS program (“Gründungszuschuss”) that focused on objective outcomes – such as employment and income – and allows us to make a more complete judgment about the overall effects of SUS at the individual level. This is especially important because subsidizing the transition into self-employment may have unintended adverse effects on participants’ well-being due to its risky nature and lower social security protection, especially in the long run. Having access to linked administrative-survey data providing us with rich information on pre-treatment characteristics, we base our analysis on the conditional independence assumption and use propensity score matching to estimate causal effects within the potential outcomes framework. We find long-term positive effects on job satisfaction but negative effects on individuals’ satisfaction with their social security situation. Further findings suggest that the negative effect on satisfaction with social security may be driven by negative effects on unemployment and retirement insurance coverage. Our heterogeneity analysis reveals substantial variation in effects across gender, age groups and skill levels. The sensitivity analyses show that these findings are highly robust. T3 - CEPA Discussion Papers - 14 KW - Start-Up Subsidies KW - Propensity Score Matching KW - Counterfactual Analysis KW - Well-Being Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-437468 SN - 2628-653X IS - 14 ER - TY - RPRT A1 - Schröder, Carsten A1 - Göbler, Konstantin A1 - Grabka, Markus M. A1 - Kolb, Chris A1 - Shupe, Cortnie A1 - Caliendo, Marco A1 - Tübbicke, Stefan A1 - Priem, Maximilian T1 - Auswirkungen des gesetzlichen Mindestlohns auf Haushaltseinkommen, Konsum- und Sparverhalten BT - Endbericht Y1 - 2020 UR - https://www.mindestlohn-kommission.de/DE/Forschung/Projekte/pdf/Bericht-Mindestlohn-Haushaltseinkommen.pdf?__blob=publicationFile&v=1 SP - 1 EP - 85 PB - Deutsche Institut für Wirtschaftsforschung CY - Berlin ER - TY - RPRT A1 - Tübbicke, Stefan T1 - Entropy Balancing for Continuous Treatments T2 - CEPA Discussion Papers N2 - Interest in evaluating the effects of continuous treatments has been on the rise recently. To facilitate the estimation of causal effects in this setting, the present paper introduces entropy balancing for continuous treatments (EBCT) by extending the original entropy balancing methodology of Hainmüller (2012). In order to estimate balancing weights, the proposed approach solves a globally convex constrained optimization problem, allowing for much more computationally efficient implementation compared to other available methods. EBCT weights reliably eradicate Pearson correlations between covariates and the continuous treatment variable. This is the case even when other methods based on the generalized propensity score tend to yield insufficient balance due to strong selection into different treatment intensities. Moreover, the optimization procedure is more successful in avoiding extreme weights attached to a single unit. Extensive Monte-Carlo simulations show that treatment effect estimates using EBCT display similar or lower bias and uniformly lower root mean squared error. These properties make EBCT an attractive method for the evaluation of continuous treatments. Software implementation is available for Stata and R. T3 - CEPA Discussion Papers - 21 KW - Balancing weights KW - Continuous Treatment KW - Monte-Carlo simulation KW - Observational studies Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-478950 SN - 2628-653X IS - 21 ER -