TY - RPRT A1 - Caliendo, Marco A1 - Kritikos, Alexander A1 - Stier, Claudia T1 - The Influence of Start-up Motivation on Entrepreneurial Performance T2 - CEPA Discussion Papers N2 - Predicting entrepreneurial development based on individual and business-related characteristics is a key objective of entrepreneurship research. In this context, we investigate whether the motives of becoming an entrepreneur influence the subsequent entrepreneurial development. In our analysis, we examine a broad range of business outcomes including survival and income, as well as job creation, expansion and innovation activities for up to 40 months after business formation. Using self-determination theory as conceptual background, we aggregate the start-up motives into a continuous motivational index. We show – based on a unique dataset of German start-ups from unemployment and non-unemployment – that the later business performance is better, the higher they score on this index. Effects are particularly strong for growth oriented outcomes like innovation and expansion activities. In a next step, we examine three underlying motivational categories that we term opportunity, career ambition, and necessity. We show that individuals driven by opportunity motives perform better in terms of innovation and business expansion activities, while career ambition is positively associated with survival, income, and the probability of hiring employees. All effects are robust to the inclusion of a large battery of covariates that are proven to be important determinants of entrepreneurial performance. T3 - CEPA Discussion Papers - 59 KW - Entrepreneurship KW - Push and Pull Theories KW - Start-up Motivation KW - Survival KW - Job Creation KW - Firm Growth KW - Innovation Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-571152 SN - 2628-653X IS - 59 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 - 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 - 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 -