The Cleansing Effect of Banking Crises
Reint E. Gropp, Steven Ongena, Jörg Rocholl, Vahid Saadi
Abstract
We assess the cleansing effects of the recent banking crisis. In U.S. regions with higher levels of supervisory forbearance on distressed banks during the crisis, there is less restructuring in the real sector and the banking sector remains less healthy for several years after the crisis. Regions with less supervisory forbearance experience higher productivity growth after the crisis with more firm entries, job creation, and employment, wages, patents, and output growth. Supervisory forbearance is greater for state-chartered banks and in regions with weaker banking competition and more independent banks, while recapitalisation of distressed banks through TARP does not facilitate cleansing.
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The Cleansing Effect of Banking Crises
Reint E. Gropp, Steven Ongena, Jörg Rocholl, Vahid Saadi
Abstract
We assess the cleansing effects of the recent banking crisis. In U.S. regions with higher levels of supervisory forbearance on distressed banks during the crisis, there is less restructuring in the real sector and the banking sector remains less healthy for several years after the crisis. Regions with less supervisory forbearance experience higher productivity growth after the crisis with more firm entries, job creation, and employment, wages, patents, and output growth. Supervisory forbearance is greater for state-chartered banks and in regions with weaker banking competition and more independent banks, while recapitalization of distressed banks through TARP does not facilitate cleansing.
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Jobs and Matches: Quits, Replacement Hiring, and Vacancy Chains
Yusuf Mercan, Benjamin Schoefer
American Economic Review: Insights,
No. 1,
2020
Abstract
In the canonical DMP model of job openings, all job openings stem from new job creation. Jobs denote worker-firm matches, which are destroyed following worker quits. Yet, employers classify 56 percent of vacancies as quit-driven replacement hiring into old jobs, which evidently outlived their previous matches. Accordingly, aggregate and firm-level hiring tightly track quits. We augment the DMP model with longer-lived jobs arising from sunk job creation costs and replacement hiring. Quits trigger vacancies, which beget vacancies through replacement hiring. This vacancy chain can raise total job openings and net employment. The procyclicality of quits can thereby amplify business cycles.
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Business Dynamics Statistics of High Tech Industries
Nathan Goldschlag, Javier Miranda
Journal of Economics and Management Strategy,
No. 1,
2020
Abstract
Modern market economies are characterized by the reallocation of resources from less productive, less valuable activities to more productive, more valuable ones. Businesses in the High Tech sector play a particularly important role in this reallocation by introducing new products and services that impact the entire economy. In this paper we describe an extension to the Census Bureau’s Business Dynamics Statistics that tracks job creation, job destruction, startups, and exits by firm and establishment characteristics, including sector, firm age, and firm size in the High Tech sector. We preview the resulting statistics, showing the structural shifts in the High Tech sector over the past 30 years, including the surge of entry and young firm activity in the 1990s that reversed abruptly in the early‐2000s.
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Employment Protection and Firm-level Job Reallocation:Adjusting for Coverage
Benedicta Marzinotto, Ladislav Wintr
IWH-CompNet Discussion Papers,
No. 5,
2019
Abstract
This paper finds that employment protection legislation (EPL) had a significant impact on employment adjustment in Europe over 2001-2013, once we account for firm-size related exemptions to EPL. We construct a novel coverage-adjusted EPL indicator and find that EPL hinders employment growth at the firm level and increases the share of firms that remain in the same size class. This suggests that stricter EPL restrains job creation because firms fear the costs of shedding jobs during downturns. We do not find evidence that EPL has positive effects on employment by limiting job losses after adverse shocks. In addition to standard controls for the share of credit-constrained firms and the position in the business cycle, we also control for sizerelated corporate tax exemptions and find that these also significantly constrain job creation among incumbent firms.
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Measuring Job Creation, Growth, and Survival among the Universe of Start-ups in the United States Using a Combined Start-up Panel Data Set
Robert W. Fairlie, Javier Miranda, Nikolas Zolas
ILR Review,
No. 5,
2019
Abstract
The field of entrepreneurship is growing rapidly and expanding into new areas. This article presents a new compilation of administrative panel data on the universe of business start-ups in the United States, which will be useful for future research in entrepreneurship. To create the US start-up panel data set, the authors link the universe of non-employer firms to the universe of employer firms in the Longitudinal Business Database (LBD). Start-up cohorts of more than five million new businesses per year, which create roughly three million jobs, can be tracked over time. To illustrate the potential of the new start-up panel data set for future research, the authors provide descriptive statistics for a few examples of research topics using a representative start-up cohort.
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Taking the Leap: The Determinants of Entrepreneurs Hiring Their First Employee
Robert W. Fairlie, Javier Miranda
Journal of Economics and Management Strategy,
No. 1,
2017
Abstract
Job creation is one of the most important aspects of entrepreneurship, but we know relatively little about the hiring patterns and decisions of start‐ups. Longitudinal data from the Integrated Longitudinal Business Database (iLBD), Kauffman Firm Survey (KFS), and the Growing America through Entrepreneurship (GATE) experiment are used to provide some of the first evidence in the literature on the determinants of taking the leap from a nonemployer to employer firm among start‐ups. Several interesting patterns emerge regarding the dynamics of nonemployer start‐ups hiring their first employee. Hiring rates among the universe of nonemployer start‐ups are very low, but increase when the population of nonemployers is focused on more growth‐oriented businesses such as incorporated and employer identification number businesses. If nonemployer start‐ups hire, the bulk of hiring occurs in the first few years of existence. After this point in time, relatively few nonemployer start‐ups hire an employee. Focusing on more growth‐ and employment‐oriented start‐ups in the KFS, we find that Asian‐owned and Hispanic‐owned start‐ups have higher rates of hiring their first employee than white‐owned start‐ups. Female‐owned start‐ups are roughly 10 percentage points less likely to hire their first employee by the first, second, and seventh years after start‐up. The education level of the owner, however, is not found to be associated with the probability of hiring an employee. Among business characteristics, we find evidence that business assets and intellectual property are associated with hiring the first employee. Using data from the largest random experiment providing entrepreneurship training in the United States ever conducted, we do not find evidence that entrepreneurship training increases the likelihood that nonemployers hire their first employee.
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Creative Destruction and Subjective Well-being
Philippe Aghion, Ufuk Akcigit, Angus Deaton, Alexandra Roulet
American Economic Review,
No. 12,
2016
Abstract
In this paper we analyze the relationship between turnover-driven growth and subjective well-being. Our model of innovation-led growth and unemployment predicts that: (i) the effect of creative destruction on expected individual welfare should be unambiguously positive if we control for unemployment, less so if we do not; (ii) job creation has a positive and job destruction has a negative impact on well-being; (iii) job destruction has a less negative impact in areas with more generous unemployment insurance policies; and (iv) job creation has a more positive effect on individuals that are more forward-looking. The empirical analysis using cross sectional MSA (metropolitan statistical area)-level and individual-level data provide empirical support to these predictions.
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Where Has All the Skewness Gone? The Decline in High-growth (Young) Firms in the U.S.
Ryan A. Decker, John Haltiwanger, Ron S. Jarmin, Javier Miranda
European Economic Review,
July
2016
Abstract
The pace of business dynamism and entrepreneurship in the U.S. has declined over recent decades. We show that the character of that decline changed around 2000. Since 2000 the decline in dynamism and entrepreneurship has been accompanied by a decline in high-growth young firms. Prior research has shown that the sustained contribution of business startups to job creation stems from a relatively small fraction of high-growth young firms. The presence of these high-growth young firms contributes to a highly (positively) skewed firm growth rate distribution. In 1999, a firm at the 90th percentile of the employment growth rate distribution grew about 31 percent faster than the median firm. Moreover, the 90−50 differential was 16 percent larger than the 50−10 differential reflecting the positive skewness of the employment growth rate distribution. We show that the shape of the firm employment growth distribution changes substantially in the post-2000 period. By 2007, the 90−50 differential was only 4 percent larger than the 50−10, and it continued to exhibit a trend decline through 2011. The overall decline reflects a sharp drop in the 90th percentile of the growth rate distribution accounted for by the declining share of young firms and the declining propensity for young firms to be high-growth firms.
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Private Equity, Jobs, and Productivity
Steven J. Davis, John Haltiwanger, Kyle Handley, Ron S. Jarmin, Josh Lerner, Javier Miranda
American Economic Review,
No. 12,
2014
Abstract
Private equity critics claim that leveraged buyouts bring huge job losses and few gains in operating performance. To evaluate these claims, we construct and analyze a new dataset that covers US buyouts from 1980 to 2005. We track 3,200 target firms and their 150,000 establishments before and after acquisition, comparing to controls defined by industry, size, age, and prior growth. Buyouts lead to modest net job losses but large increases in gross job creation and destruction. Buyouts also bring TFP gains at target firms, mainly through accelerated exit of less productive establishments and greater entry of highly productive ones.
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