My dissertation consists of three studies, all viewing aggregate productivity as driven by the individual decisions of firms and the inventors that work for them. I use microeconometric analysis to study why firms innovate and economic theory to link these decisions to macroeconomic outcomes. The first paper in this dissertation studies how German manufacturing firms adjust their productivity in response to an increase in competition from foreign markets. German firms only increase their productivity if their new competitors come from other industrialized economies. This productivity increase is not driven by innovation. Instead, firms cut input expenses and prices while maintaining their output. The second paper traces the matching decisions of firms and inventors on the labor markets of developed economies. It adapts empirical techniques used in labor economics to this special segment of the labor market and shows that assortative matching has been increasing from 1974 to 2012: High quality inventors go to high quality firms more often than was the case in previous decades. This cannot be explained by changes in the patent invention function: The productivity of a match between a firm and an inventor of constant quality remains roughly unchanged. The third paper develops an endogenous growth model with inventor labor markets and two types of innovation: disruptive inventions that change the underlying technology of firms’ products and incremental improvements over existing products. Firms acquire expertise in certain technologies by hiring the inventors who are experts in these fields. This gives them a strong incentive to prevent disruptive inventions: If the underlying technology changes, their investment in these inventors becomes worthless. Large firms inhibit aggregate growth by poaching inventors from firms engaged in disruptive innovation.

We argue that the Covid epidemic disproportionately affected the economic well-being and health of poor people. To disentangle the forces that generated this outcome, we construct a model that is consistent with the heterogeneous impact of the Covid recession on low- and high-income people. According to our model, two thirds of the inequality in Covid deaths reflect pre-existing inequality in comorbidity rates and access to quality health care. The remaining third, stems from the fact that low-income people work in occupations where the risk of infection is high. Our model also implies that the rise in income inequality generated by the Covid epidemic reflects the nature of the goods that low-income people produce. Finally, we assess the health-income trade-offs associated with fiscal transfers to the poor and mandatory containment policies.

We argue that wage inertia plays a pivotal role in allowing empirically plausible variants of the standard search and matching model to account for the large countercyclical response of unemployment to shocks.

We study how political party turnover after German state elections affects banks’ lending to the regional government. We find that between 1992 and 2018, party turnover at the state level leads to a sharp and substantial increase in lending by local savings banks to their home-state government. This effect is accompanied by an equivalent reduction in private lending. A statistical association between political party turnover and government lending is absent for comparable cooperative banks that exhibit a similar regional organization and business model. Our results suggest that political frictions may interfere with government-owned banks’ local development objectives.

In den vergangenen Jahren hat die Zahl der Pensionäre (ehemalige Beamte, Richter und Soldaten) in Deutschland deutlich zugenommen. Damit gehen immer höhere Versorgungsausgaben einher, die Bund, Länder und Gemeinden aufbringen müssen. Der demographische Wandel könnte in Zukunft nicht nur ausgabeseitig eine Herausforderung aufgrund weiter steigender Versorgungsausgaben darstellen, sondern auch auf der Einnahmeseite, weil die Versorgungslasten von immer weniger Steuerzahlern getragen werden müssen. Im Folgenden werden mit Hilfe eines Kohorten-Komponenten-Modells die Zahl der Versorgungsempfänger und die daraus resultierenden Versorgungsausgaben für Bund, Länder und Gemeinden bis zum Jahr 2080 geschätzt und die Konsequenzen für die öffentlichen Haushalte abgeleitet. Es zeigt sich, dass die Versorgungsausgaben der Gebietskörperschaften zwar ansteigen, die Versorgungs-Steuerquote insgesamt allerdings relativ stabil bleibt. Da die Zahl der Versorgungsempfänger bei Ländern und Gemeinden bis zum Jahr 2080 kaum zunehmen und beim Bund sogar zurückgehen wird, stehen die Gebietskörperschaften infolge der Pensionslasten vor weitaus kleineren finanziellen Herausforderungen als die gesetzliche Rentenversicherung angesichts des wachsenden Anteils der Rentenempfänger an der Gesamtbevölkerung.

We study how deposit competition affects a bank’s decision to securitize mortgages. Exploiting the state-specific removal of deposit market caps across the US as a source of competition, we find a 7.1 percentage point increase in the probability that banks securitize mortgage loans. This result is driven by an 11 basis point increase in deposit costs and corresponding reductions in banks’ deposit holdings. Our results are strongest among banks that rely more on deposit funding. These findings highlight a hitherto undocumented and unintended regulatory cause that motivates banks to adopt the originate-to-distribute model.

We investigate how VC participation affects the failure of startups. Using a unique dataset of the survival of peer-to-peer (P2P) platforms in China, we identify two types of failures, bankruptcy, and run off with investors' money. The Competing Risk Model results show that while VC participation reduces bankruptcy hazard, it has little impact on the runoff failures. The findings are robust to the use of matched subsamples that disentangle the influence of pre-investment screening by VC. Further analysis of exit routes reveals that conditional on failure, VC participation is associated with a higher chance of running for the exit.

Using account level data from a credit bureau, we study the role that social capital plays in consumer default decisions. We find that borrowers in communities with greater social capital are significantly less likely to default on loans, even after adjusting for different levels of income and other characteristics such as credit scores. The results are strongest for potentially strategic defaults on mortgages; a one standard deviation increase in social capital reduces such defaults by 12.4 %. These results can be generalized to any mortgage default. Our results also indicate that the effect of social capital is most prominent among more creditworthy borrowers, suggesting that when given a choice, the social cost of defaulting is an important factor affecting default decisions. We find a similar impact of social capital on consumer defaults in other datasets with more detailed information on borrowers as well. Our results are robust to modeling and methodology choices, as well as controlling for other drivers of default such as wealth, income and amenities from homeownership. Our results suggest that increasing social capital via measures to build community cohesion such as promotion of owner-occupied home ownership may be one avenue to deter consumer default.

We present the first evidence on the role of occupational choices and acquired skills for migrant selection. Combining novel data from a representative Mexican task survey with rich individual-level worker data, we find that Mexican migrants to the United States have higher manual skills and lower cognitive skills than nonmigrants. Results hold within narrowly defined region–industry–occupation cells and for all education levels. Consistent with a Roy/Borjas-type selection model, differential returns to occupational skills between the United States and Mexico explain the selection pattern. Occupational skills are more important to capture the economic motives for migration than previously used worker characteristics.

When banks expand abroad, their riskiness decreases if foreign expansion happens in destination countries that are more competitive than their origin countries. We reach this conclusion in three steps. First, we develop a flexible dynamic model of global banking with endogenous competition and endogenous risk-taking. Second, we calibrate and simulate the model to generate empirically relevant predictions. Third, we validate these predictions by testing them on an original dataset covering the activities of the 15 European global systemically important banks (G-SIBs). Our results hold across alternative measures of individual and systemic bank risk.