Immigration can expand labor supply and create greater competition for native-born workers. But immigrants may also start new firms, expanding labor demand. This paper uses U.S. administrative data and other data resources to study the role of immigrants in entrepreneurship. We ask how often immigrants start companies, how many jobs these firms create, and how these firms compare with those founded by U.S.-born individuals. A simple model provides a measurement framework for addressing the dual roles of immigrants as founders and workers. The findings suggest that immigrants act more as "job creators" than "job takers" and that non-U.S. born founders play outsized roles in U.S. high-growth entrepreneurship

Since the onset of globalization, production activities have become increasingly fragmented and organized in global value chains, facilitating the trade of intermediaries across industries and countries. In this paper, we analyze the dynamic effect of increasing participation in global value chains on both productivity growth and the functional income distribution. To account for potential endogeneity, we construct a granular instrumental variable for international trade integration using detailed international input-output tables. Our findings show on the country-industry level, that both trade in intermediate inputs and trade in value-added significantly raise productivity in advanced countries, at the expense of the labor share of income. Moreover, labor shares decline more sharply in both manufacturing and services sectors, as well as in industries positioned closer to the final stages of the global value chain. Finally, our results show that a decline in international trade integration would have substantial negative effects on long-term productivity growth.

We study how the disclosure of corrupt practices affects the growth of firms involved in illegal interactions with the government using randomized audits of public procurement in Brazil. On average, firms exposed by the anti-corruption program grow larger after the audits, despite experiencing a decrease in procurement contracts. We manually collect new data on the details of thousands of corruption cases, through which we uncover a large heterogeneity in our firm-level effects depending on the degree of involvement in corruption. Using investment-, loan-, and worker- level data, we show that the average exposed firms adapt to the loss of government contracts by changing their investment strategy. They increase capital investment and borrow more to finance such investment, while there is no change in their internal organization. We provide qualitative support to our results by conducting new face-to-face surveys with business owners of government-dependent firms.

Does financial development shield countries from the pass-through of financial shocks to real outcomes? We evaluate this question by characterising the probability density of expected GDP growth conditional on financial stability indicators in a panel of 28 countries. Our robust results unveil a non-linear nexus between financial stability and expected GDP growth, depending on countries’ degree of financial development. While both domestic and global financial factors affect expected growth, the effect of global factors is moderated by financial development. This result highlights a previously unexplored channel trough which financial development can break the link between financial (in)stability and GDP growth.

We examine how executive equity risk-taking incentives affect firms’ choice of debt structure. Using a longitudinal sample of U.S. firms, we document that when executive compensation is more sensitive to stock volatility (i.e., has higher vega), firms reduce their reliance on bank debt financing. We utilize the passage of the Financial Accounting Standard (FAS) 123R option-expensing regulation as an exogenous shock to management option compensation to account for potential endogeneity. In cross-sectional analyses, we find that the documented effect of vega is amplified among firms with higher growth opportunities and more opaque financial information; we also find vega's effect is mitigated in firms with limited abilities to tap into public debt market. Supplemental analyses suggest that firms with higher vega face more stringent bank loan covenants. We conclude that, by encouraging risk-taking, higher vega reduces firms’ reliance on bank debt financing in order to avoid more stringent bank monitoring.

We study how financing non-traditional local activities, conceived here as a proxy for activity diversification, is associated with economic growth. We use municipality-level data from Brazil, a country with large geographical, social, and economic disparities observed across its more than 5500 municipalities. We find that finance to non-traditional local activities associates with higher municipal economic growth, suggesting a positive externality between the non-traditional and traditional sectors. Using large natural disasters in Brazil as sources of unexpected negative events, we find that this association between financing non-traditional local activities and economic growth becomes negative in times of distress. We find that traditional local sectors are more affected than non-traditional sectors following a natural disaster. Precisely because of the non-traditional sector’s dependence on the traditional sector, our results suggest that municipalities should restrengthen their traditional activities during adverse conditions.

This paper examines the effect of going public on firm-level employment. To establish a causal effect, we employ a novel data set of private firms to investigate employment growth in IPO firms relative to a group of firms that file for an IPO but subsequently withdraw their offering. We find that employment increases significantly after going public, and the increase is more pronounced in industries with requirements for highly skilled labor and greater dependence on external finance. Improved ability to undertake acquisitions and a strategic shift toward commercialization, rather than agency problems, explain employment growth. Overall, these results highlight the importance of going public for firms' employment policies.

This paper evaluates the predictive content of a set of alternative monthly indicators of global economic activity for nowcasting and forecasting quarterly world real GDP growth using mixed-frequency models. It shows that a recently proposed indicator that covers multiple dimensions of the global economy consistently produces substantial improvements in forecasting accuracy, while other monthly measures have more mixed success. Specifically, the best-performing model yields impressive gains with MSPE reductions of up to 34% at short horizons and up to 13% at long horizons relative to an autoregressive benchmark. The global economic conditions indicator also contains valuable information for assessing the current and future state of the economy for a set of individual countries and groups of countries. This indicator is used to track the evolution of the nowcasts for the U.S., the OECD area, and the world economy during the COVID-19 pandemic and the main factors that drive the nowcasts are quantified.

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.

In this paper, we use local projections to investigate the impact of consolidation shocks on GDP growth, conditional on the fragility of government finances. Based on a database of fiscal plans in OECD countries, we show that spending shocks are less detrimental than tax-based consolidation. In times of fiscal fragility, our results indicate strongly that governments should consolidate through surprise policy changes rather than announcements of consolidation at a later horizon.