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This thesis offers new insights on the effects of Start-Up Subsidies (SUS) for unemployed individuals as a special kind of active labor market program (ALMP) that aims to re-integrate individuals into the labor market via the route of self-employment. Moreover, this thesis contributes to the literature on methods for causal inference when the treatment variable is continuous rather than binary. For example, this is the case when individuals differ in their degree of exposure to a common treatment.
The analysis of the effects of SUS focuses on the main current German program called “Gründungszuschuss” (New Start-Up Subsidy, NSUS) after its reform in 2011. Average Effects on participants' labor market outcomes - as measured by employment and earnings - as well as subjective well-being are estimated mainly based on propensity score matching (PSM) techniques. PSM aims to achieve balance in terms of observed characteristics by matching participants with at least one comparable non-participant in terms of their probability to receive the treatment. This estimation strategy is valid as long as all relevant characteristics that explain selection patterns into treatment are observed and included in the estimation of the propensity score. To make our analysis as credible as possible, we control for a large vector of characteristics as observed through the combination of rich administrative data from the Federal Employment Agency as well as through survey data.
Chapters two to four of this thesis puts special emphasis on aspects regarding (the evaluation of) SUS programs that have received no or only limited attention thus far. The first aspect relates to the interplay of institutional details of the program and its effectiveness. So far, relatively little is known about the importance of SUS program features such as the duration of support. Second, there is no experimental benchmark evaluation of SUS available and thus, the reliability of non-experimental estimation techniques such as PSM is of crucial importance as estimates are biased when relevant confounders are omitted from the analysis. Third, there may be potentially detrimental effects of transitioning into (relatively risky) self-employment on subjective well-being among subsidized founders out of unemployment. These were to remain undetected if the analysis would focus exclusively on labor market outcomes of participants. The results indicate positive long-term effects of SUS participation on employment and earnings among participants. These effects are substantially larger than what estimated before the reform, indicating room for improvement in program design via changes in institutional details. Moreover, non-experimental estimates of treatment effects are remarkably robust to hidden confounding. Regarding subjective well-being, this thesis finds a positive long-run impact on job satisfaction and a detrimental effect on satisfaction with social security. The latter appears to be driven by adverse effects on social insurance contributions.
In chapter five, a novel automated covariate balancing technique for the estimation of causal effects in the context of continuous treatments is derived and assessed regarding its performance compared to other (automated) balancing techniques. Although binary research designs that only differentiate between participants and non-participants of some treatment remain the most-common case in empirical practice, many applications can be adapted to include continuous treatments as well. Often, this will allow for more meaningful estimates of causal effects in order to further improve the design of programs. In the context of SUS, one may further investigate the effects of the size of monetary support or its duration on participants' labor market outcomes. Both Monte-Carlo investigations and analysis of two well-known datasets suggests superior performance of the proposed Entropy Balancing for continuous treatments (EBCT) compared to other existing estimation strategies.
Zufriedenheitsanalysen durch Patientenbefragungen, wie in diesem Fall der neu entwickele und getestet Fragebogen (HNO-PROM), haben drei Säulen. Es kann zum einen eine bessere Patientenbindung geschaffen werden, die Qualität kann gemessen, verglichen und optimiert werden und es kann ein Mitarbeiterleitfaden im Sinne einer „Corporate Identity“ erstellt werden, welcher konkrete Managementimplikationen im Sinne von Handlungsimplikationen enthält. Der Leitgedanke des Qualitätsmanagements ist die Patientenorientierung im Sinne der Patientenzentrierten Medizin. Hierbei sollen nicht nur Wünsche und Bedürfnisse des Patienten erfüllt werden, sondern vorallem auch die Zufriedenheit gemessen und geplant werden. Gleichzeit muss man in diesem Zusammenhang die Behandlung der Patienten als Dienstleistung verstehen und die größtmögliche Zufriedenheit des Patienten als primäres Ziel setzen. Dies führt zu einer Kundenbindung dadurch, dass Patienten sowohl eine gleichbleibende Qualität erwarten können als auch und auch weiche Faktoren ihren Wünschen entsprechen werden. Corporate Identity mit dem Ziel als Unternehmen einheitlich für die Werte und damit die Qualität zu stehen.. Dies ermöglicht, das Wohlbefinden in der Vorstellung der Patienten beginnen zu lassen und dadurch Vertrauen zu schaffen. Alle drei Säulen haben nicht nur die Patientenzufriedenheit zum Ziel, sondern in gleichem Maße auch die Positionierung einer Institution auf dem Gesundheitsmarkt und damit die Verbesserung der Kosten-Nutzen-Rechnung durch ein positives Outcome. Damit fördern Zufriedenheitsanalysen nicht nur die ökonomische Position einer Abteilung, sondern behalten gleichermaßen die ethischen Aspekte einer Arzt-Patienten-Beziehung im Blick.
The ability of a company to innovate and to launch innovation is a critical competitive edge to remain competitive in the 21st century. Large organizations therefore increasingly recognize employees as a significant factor and critical source of innovation. Several studies assert the fact that every employee has to offer certain skills and knowledge and can contribute to innovation. Hence, every employee has a certain ‘entrepreneurial potential’. This potential can be expressed in the form of entrepreneurial behaviour and can occur in many ways, from monopersonal innovation championing to several small scale contributions, where several individuals team up for innovation. To support entrepreneurial behaviour of their employees, large organizations increasingly rely on Corporate Entrepreneurship. They set up organizational structures and venturing units, offer vehicles and tools to their employees to be more entrepreneurial. The evolvement of new tools and technologies thereby allow for new ways of employee involvement, also allowing for more radical innovation to be developed collaboratively. Yet, many of such offerings fail to achieve the desired outcome. While some employees immediately opt-in for innovation, others do not and their entrepreneurial potential remains untapped. This research explores how large organizations can better support their employees to express their entrepreneurial potential, thus moving from non-entrepreneurial behaviour or not wanting to be involved, to actually expressing entrepreneurial behaviour. The underlying research therefore is two-fold. While focusing on the individual level and the entrepreneurial behaviour of employees, this research also takes the organizational perspective into account in order to identify how non-entrepreneurial behaviour can be stimulated towards entrepreneurial behaviour. Using an empirical qualitative research design based on pragmatism and abduction, data is collected by means of qualitative interviews as well as a longitudinal use case setting. Grounded theory is then applied for analysis and sense making. The main outcome is a theoretical model of why employees are expressing or not expressing their entrepreneurial potential and how non-expression can potentially be triggered towards entrepreneurial behaviour. The results indicate that there is no one-size-fits all model of Corporate Entrepreneurship. This research therefore argues that organizations can achieve higher levels of entrepreneurial behaviour when addressing employees differently. By developing a theoretical model as well as suggestions of how this model can be applied in practice, this research contributes to theory and practice alike. This document closes suggesting future research areas around supporting employees to express their entrepreneurial potential.