Low productivity is an important barrier to the cross-border expansion of firms. But firms may also need external finance to shoulder the costs of entering foreign markets. We develop a model of multinational firms facing real and financial barriers to foreign direct investment (FDI), and we analyze their impact on the FDI decision. Theoretically, we show that financial constraints can affect highly productive firms more than firms with low productivity because the former are more likely to expand abroad. We provide empirical evidence based on a detailed dataset of German domestic and multinational firms which contains information on parent-level financial constraints as well as on the location the foreign affiliates. We find that financial factors constrain firms’ foreign investment decisions, an effect felt in particular by firms most likely to consider investing abroad. The locational information in our dataset allows exploiting cross-country differences in contract enforcement. Consistent with theory, we find that poor contract enforcement in the host country has a negative impact on FDI decisions.

Banks are engaging in leasing activities at an increasing rate, which is demonstrated by aggregated data for both European and U.S. banking companies. However, little is known about leasing activities at the bank level. The contribution of this paper is the introduction of the nexus of leasing in banking. Beginning from an institutional basis, this paper describes the key features of banks’ leasing activities using the example of German regional banks. The banks in this sample can choose from different types of leasing contracts, providing the banks with a degree of leeway in conducting business with their clients. We find a robust and significant positive impact of banks’ leasing activities on their profitability. Specifically, the beneficial effect of leasing stems from commission business in which the bank acts as a middleman and is not affected by the potential defaults of customers.

Information management is a core process in banking that can resolve information asymmetries and thereby help to mitigate competitive pressure. We test if the use of information technology (IT) contributes to bank output, and how IT-augmented bank productivity relates to differences in market power. Detailed bank-level information on the use of IT reveals a substantial upward bias in bank productivity estimates when ignoring banks’ IT expenditures. IT-augmented bank productivity correlates positively with Lerner markups. A mere increase in IT expenditures, however, reduces markups. Results hold across a range of bank output definitions and productivity estimation methods.

Changes in labor market institutions and the increasing integration of the world economy may affect the volatility of capital and labor incomes. This article documents and analyzes changes in income volatility using data for 11 industrialized countries, 22 industries and 35 years (1970–2004). The article has four main findings. First, the unconditional volatility of labor income has declined in parallel to the decline in macroeconomic volatility. Second, the industry-specific, idiosyncratic component of labor income volatility has hardly changed. Third, cross-sectional heterogeneity is substantial. If anything, the labor incomes of high- and low-skilled workers have become more volatile relative to the volatility of capital incomes. Fourth, the volatility of labor income relative to the volatility of capital income declines in the labor share. Trade openness has no clear-cut impact.

We offer a social-welfare comparison of the two most prominent default options – opt in and opt out – using a two-period model of localized competition. We demonstrate that when consumers stick to the default option, the prevailing default policy shapes firms' ability to collect and use customer information, and affects their pricing strategy and entry decision differently. The free-entry analysis reveals that fewer firms enter under opt out as competition becomes harsher, and that opt out is the socially preferred default option.

Competition in the U.S. appears to have declined. One contributing factor may have been heterogeneity in the availability of credit during the financial crisis. I examine the impact of product market peer credit constraints on long-run competitive outcomes and behavior among non-financial firms. I use measures of lender exposure to the financial crisis to create a plausibly exogenous instrument for product market credit availability. I find that credit constraints of product market peers positively predict growth in sales, market share, profitability, and markups. This is consistent with the notion that firms gained at the expense of their credit constrained peers. The relationship is robust to accounting for other sources of inter-firm spillovers, namely credit access of technology network and supply chain peers. Further, I find evidence of strategic investment, i.e. the idea that firms increase investment in response to peer credit constraints to commit to deter entry mobility. This behavior may explain why temporary heterogeneity in the availability of credit appears to have resulted in a persistent redistribution of output across firms.

This paper shows that local banking market conditions affect mortality rates in the United States. Exploiting the staggered relaxation of branching restrictions in the 1990s across states, we find that banking deregulation decreases local mortality rates. This effect is driven by a decrease in the mortality rate of black residents, implying a decrease in the black-white mortality gap. We further analyze the role of mortgage markets as a transmitter between banking deregulation and mortality and show that households' easier access to finance explains mortality dynamics. We do not find any evidence that our results can be explained by improved labor outcomes.

Syndicated loan data provided by DealScan has become an essential input in banking research over recent years. This data is rich enough to answer urging questions on bank lending, e.g., in the presence of financial shocks or climate change. However, many data options raise the question of how to choose the estimation sample. We employ a standard regression framework analyzing bank lending during the financial crisis to study how conventional but varying usages of DealScan affect the estimates. The key finding is that the direction of coefficients remains relatively robust. However, statistical significance seems to depend on the data and sampling choice.

Bank regulators interfere with the efficient allocation of resources for the sake of financial stability. Based on this trade-off, I compare how different capital requirements affect default probabilities and the allocation of market shares across heterogeneous banks. In the model, banks‘ productivity determines their optimal strategy in oligopolistic markets. Higher productivity gives banks higher profit margins that lower their default risk. Hence, capital requirements indirectly aiming at high-productivity banks are less effective. They also bear a distortionary cost: Because incumbents increase interest rates, new entrants with low productivity are attracted and thus average productivity in the banking market decreases.

We use administrative and supervisory data at the bank and loan level to investigate the impact of the introduction of covered bonds on the composition of bank balance sheets and bank risk. Covered bonds, despite being collateralized by mortgages, lead to a shift in bank lending from mortgages to corporate loans. Young and low-rated firms in particular receive more credit, suggesting that overall credit risk increases. At the same time, we find that total balance sheet liquidity increases. We identify the channel in a theoretical model and provide empirical evidence: Banks with low initial liquidity and banks with sufficiently high risk-adjusted return on firm lending drive the results.