We investigate how optimal attention allocation of green-motivated investors changes information asymmetry in financial markets and thus affects firms‘ financing costs. To guide our empirical analysis, we propose a model where investors with heterogeneous green preferences endogenously allocate limited attention to learn market-level or firm-specific fundamental shocks. We find that a higher fraction of green investors in the market leads to higher aggregate attention to green firms. This reduces the information asymmetry of green firms, leading to higher price informativeness and lower leverage. Moreover, the information asymmetry of brown firms and the market increases with the share of green investors. Therefore, greater green attention is associated with less market efficiency. We provide empirical evidence to support our model predictions using U.S. data. Our paper shows how the growing demand for sustainable investing shifts investors‘ attention and benefits eco-friendly firms.

We study the firm-level and aggregate effects of government-imposed employment targets. We develop a dynamic general equilibrium model with heterogeneous firms and endogenous productivity growth in which penalties for below-target hiring generate a polarization mechanism: low-productivity firms exit, while others expand employment beyond efficient levels, and firms invest in productivity to avoid future penalties. We test and confirm the model’s firm level predictions using unique contractual data on more than 18,000 employment commitments from the East German privatization, exploiting quasi-random variation in the assignment of privatizers to firms. Quantitatively, employment targets reduce unemployment in the short run, but these gains reverse over time as distorted labor allocations and weakened investment incentives slow aggregate productivity growth and reduce welfare. We also evaluate how alternative designs for employment-protection (e.g., the choice between mandates and subsidies, the structure of targets) impact misallocation and the resulting short- and long-run outcomes.

The Roy-Borjas model predicts that international migrants are less educated than nonmigrants because the returns to education are generally higher in developing (migrant-sending) than in developed (migrant-receiving) countries. However, empirical evidence often shows the opposite. Using the case of Mexico-U.S. migration, we show that this inconsistency between predictions and empirical evidence can be resolved when the human capital of migrants is assessed using a two-dimensional measure of occupational skills rather than by educational attainment. Thus, focusing on a single skill dimension when investigating migrant selection can lead to misleading conclusions about the underlying economic incentives and behavioral models of migration.

In this article, we investigate the divergence between credit ratings (CRs) and Moody's market-implied ratings (MIRs). Our evidence shows that rating gaps provide incremental information to the market regarding issuers' default risk over CRs alone in the short horizon and outperform CRs over extended horizons. The predictive ability of rating gaps is greater for more opaque and volatile issuers. Such predictability was more pronounced during the 2008 financial crisis but weakened in the post-Dodd-Frank Act period. This finding is consistent with credit rating agencies' efforts to improve their performance when facing regulatory pressure. Moreover, our analysis identifies rating-gap signals that do (do not) lead to subsequent Moody's actions to place issuers on negative outlook and watchlists. We find that negative signals from MIR gaps have a real economic impact on issuers' fundamentals such as profitability, leverage, investment, and default risk, thus supporting the recovery-efforts hypothesis.

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.

Die Zusammenlegung von Polizeikräften durch die Schließung von Polizeiposten ist ein vielbeobachtetes Phänomen in entwickelten Volkswirtschaften. Polizeiposten stellen einen bedeutenden und sichtbaren Teil der öffentlichen Infrastruktur dar. Als Ergebnis der vorliegenden Studie zeigt sich, dass die Schließung von Polizeiposten zu einem Anstieg von Autodiebstählen und Wohnungseinbrüchen führt. Diese Resultate können nicht durch Verdrängungseffekte in andere Regionen, veränderte Einsatzstrategien der Polizeieinheiten oder eine geringere Inhaftierung von Kriminellen erklärt werden. Vielmehr sind sie konsistent mit einer veränderten Wahrnehmung der Aufklärungswahrscheinlichkeit. Somit zeigt sich, dass die Sichtbarkeit von lokalen Polizeiposten zur Abschreckung und demnach zur Kriminalitätsbekämpfung beiträgt.

We analyse the impact of robot adoption on employment composition using novel micro data on robot use in German manufacturing plants linked with social security records and data on job tasks. Our task-based model predicts more favourable employment effects for the least routine-task intensive occupations and for young workers, with the latter being better at adapting to change. An event-study analysis of robot adoption confirms both predictions. We do not find adverse employment effects for any occupational or age group, but churning among low-skilled workers rises sharply. We conclude that the displacement effect of robots is occupation biased but age neutral, whereas the reinstatement effect is age biased and benefits young workers most.

We conducted a field experiment in the natural setting of blood donations to test how oxytocin relates to empathy and altruism. We randomly assigned blood donors in the Croatian Institute for Transfusion Medicine to three groups with the aim to induce different levels of empathy by showing a neutral video to the donors from the control group and an emotional to the donors from the first and second treatment groups. In addition to watching the emotional video, donors from the second treatment group are given a gift which relates to the emotional story from the video. We find no effect of our treatment on induced levels of oxytocin. Null effects of our treatments could be explained by the above average baseline levels of oxytocin and inability of our treatments to provoke emotional stimuli in blood donors. Nonetheless, for our empathy measures we find the effect of gift exchange on empathic concerns, but not on perspective taking. After our experimental treatments, we followed the return of our blood donors for a whole year. We find that only variable which consistently predicts return for blood donation in stated period is the number of previous donations. From policy perspective it is an important finding. Especially for hospitals and other blood providers when faced with time and resource constraints.

This paper offers a novel framework, combining firm operational risk, IPO pricing risk, and market risk, to model IPO failure risk. By analyzing nearly a thousand variables, we observe that prior IPO failure risk models have suffered from a major missing-variable problem. Evidence reveals several key new firm-level determinants, e.g., the volatility operating performance, the size of its accounts payable, pretax income to common equity, total short-term debt, and a few macroeconomic variables such as treasury bill rate, and book-to-market of the DJIA index. These findings have major economic implications. The total value loss from not predicting the imminent failure of an IPO is significantly lower with this proposed model compared to other established models. The IPO investors could have saved around $18billion over the period between 1994 and 2016 by using this model.

This paper uses novel news ticker data to evaluate the effect of sovereign risk on economic and financial outcomes. The use of intraday news enables me to derive policy events and respective timestamps that potentially alter investors’ beliefs about a sovereign’s willingness to service its debt and thereby sovereign risk. Following the high frequency identification literature, in the tradition of Kuttner (2001) and Guerkaynak et al. (2005), associated variation in sovereign risk is then obtained by capturing bond price movements within narrowly defined time windows around the event time. I conduct the outlined identification for Italy since its large bond market and its frequent coverage in the news render it a suitable candidate country. Using the identified shocks in an instrumental variable local projection setting yields a strong instrument and robust results in line with theoretical predictions. I document a dampening effect of sovereign risk on output. Also, borrowing costs for the private sector increase and inflation rises in response to higher sovereign risk.