Age and High-Growth Entrepreneurship
Pierre Azoulay, Benjamin Jones, J. Daniel Kim, Javier Miranda
American Economic Review: Insights,
No. 1,
2020
Abstract
Many observers, and many investors, believe that young people are especially likely to produce the most successful new firms. Integrating administrative data on firms, workers, and owners, we study start-ups systematically in the United States and find that successful entrepreneurs are middle-aged, not young. The mean age at founding for the 1-in-1,000 fastest growing new ventures is 45.0. The findings are similar when considering high-technology sectors, entrepreneurial hubs, and successful firm exits. Prior experience in the specific industry predicts much greater rates of entrepreneurial success. These findings strongly reject common hypotheses that emphasize youth as a key trait of successful entrepreneurs.
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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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Does Extended Unemployment Benefit Duration Ameliorate the Negative Employment Effects of Job Loss?
Daniel Fackler, Jens Stegmaier, Eva Weigt
Labour Economics,
2019
Abstract
We study the effect of job displacement due to bankruptcies on earnings and employment prospects of displaced workers and analyse whether extended potential unemployment benefit duration (PBD) ameliorates the negative consequences of job loss. Using German administrative linked employer-employee data, we find that job loss has long-lasting negative effects on earnings and employment. Displaced workers also more often end up in irregular employment relationships (part-time, marginal part-time employment, and temporary agency work) than their non-displaced counterparts. Applying a regression discontinuity approach that exploits a three months PBD extension at the age threshold of 50 we find hardly any effects of longer PBD on labour market outcomes of displaced workers.
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HIP, RIP, and the Robustness of Empirical Earnings Processes
Florian Hoffmann
Quantitative Economics,
No. 3,
2019
Abstract
The dispersion of individual returns to experience, often referred to as heterogeneity of income profiles (HIP), is a key parameter in empirical human capital models, in studies of life‐cycle income inequality, and in heterogeneous agent models of life‐cycle labor market dynamics. It is commonly estimated from age variation in the covariance structure of earnings. In this study, I show that this approach is invalid and tends to deliver estimates of HIP that are biased upward. The reason is that any age variation in covariance structures can be rationalized by age‐dependent heteroscedasticity in the distribution of earnings shocks. Once one models such age effects flexibly the remaining identifying variation for HIP is the shape of the tails of lag profiles. Credible estimation of HIP thus imposes strong demands on the data since one requires many earnings observations per individual and a low rate of sample attrition. To investigate empirically whether the bias in estimates of HIP from omitting age effects is quantitatively important, I thus rely on administrative data from Germany on quarterly earnings that follow workers from labor market entry until 27 years into their career. To strengthen external validity, I focus my analysis on an education group that displays a covariance structure with qualitatively similar properties like its North American counterpart. I find that a HIP model with age effects in transitory, persistent and permanent shocks fits the covariance structure almost perfectly and delivers small and insignificant estimates for the HIP component. In sharp contrast, once I estimate a standard HIP model without age‐effects the estimated slope heterogeneity increases by a factor of thirteen and becomes highly significant, with a dramatic deterioration of model fit. I reach the same conclusions from estimating the two models on a different covariance structure and from conducting a Monte Carlo analysis, suggesting that my quantitative results are not an artifact of one particular sample.
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Aktuelle Trends: Durchschnittsalter der Bevölkerung: Deutliches Ost-West-Gefälle
Hans-Ulrich Brautzsch
Wirtschaft im Wandel,
No. 1,
2019
Abstract
Das Durchschnittsalter der Bevölkerung[1] hat in Deutschland kontinuierlich zugenommen. In Ostdeutschland ist es zwischen Ende 1990 und Ende 2017 von 37,9 auf 46,3 Jahre gestiegen.[2] In Westdeutschland nahm das Durchschnittsalter von 39,6 auf 44,1 Jahre zu. Die Zunahme des Durchschnittsalters war damit in Westdeutschland mit 4,5 Jahren nur etwa halb so hoch wie in Ostdeutschland (8,4 Jahre). Beeinflusst wurde diese Entwicklung in Ostdeutschland durch das hohe Geburtendefizit sowie die Wanderungsverluste.
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Trust in Banks
Zuzana Fungáčová, Iftekhar Hasan, Laurent Weill
Journal of Economic Behavior and Organization,
2019
Abstract
Trust in banks is considered essential for an effective financial system, yet little is known about what determines trust in banks. Only a handful of single-country studies discuss the topic, so this paper aims to fill the gap by providing a cross-country analysis on the level and determinants of trust in banks. Using World Values Survey data covering 52 countries during the period 2010–2014, we observe large cross-country differences in trust in banks and confirm the influence of several sociodemographic indicators. Our main findings include: women tend to trust banks more than men; trust in banks tends to increase with income, but decrease with age and education; and access to television enhances trust, while internet access erodes trust. Additionally, religious, political, and economic values affect trust in banks. Notably, religious individuals tend to put greater trust in banks, but differences are observed across denominations. The holding of pro-market economic views is also associated with greater trust in banks.
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Zu den rentenpolitischen Plänen im Koalitionsvertrag 2018 von CDU, CSU und SPD: Konsequenzen, Finanzierungsoptionen und Reformbedarf
Oliver Holtemöller, Christoph Schult, Götz Zeddies
Zeitschrift für Wirtschaftspolitik,
No. 3,
2018
Abstract
In the coalition agreement from February 7, 2018, the new German federal government drafts its public pension policy, which has to be evaluated against the background of demographic dynamics in Germany. In this paper, the consequences of public pensions related policy measures for the German public pension insurance are illustrated using a simulation model. In the long run, the intended extensions of benefits would lead to an increase in the contribution rate to the German public pension insurance of about two and a half percentage points. Referring to pension systems of other countries, we discuss measures in order to limit this increase in the contribution rate.
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Measuring the Impact of Household Innovation using Administrative Data
Javier Miranda, Nikolas Zolas
NBER Working Paper,
No. 25259,
2018
Abstract
We link USPTO patent data to U.S. Census Bureau administrative records on individuals and firms. The combined dataset provides us with a directory of patenting household inventors as well as a time-series directory of self-employed businesses tied to household innovations. We describe the characteristics of household inventors by race, age, gender and U.S. origin, as well as the types of patented innovations pursued by these inventors. Business data allows us to highlight how patents shape the early life-cycle dynamics of nonemployer businesses. We find household innovators are disproportionately U.S. born, white and their age distribution has thicker tails relative to business innovators. Data shows there is a deficit of female and black inventors. Household inventors tend to work in consumer product areas compared to traditional business patents. While patented household innovations do not have the same impact of business innovations their uniqueness and impact remains surprisingly high. Back of the envelope calculations suggest patented household innovations granted between 2000 and 2011 might generate $5.0B in revenue (2000 dollars).
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Zu den rentenpolitischen Plänen im Koalitionsvertrag 2018 von CDU, CSU und SPD: Konsequenzen, Finanzierungsoptionen und Reformbedarf
Oliver Holtemöller, Christoph Schult, Götz Zeddies
Abstract
Im Koalitionsvertrag von CDU, CSU und SPD vom 7. Februar 2018 formuliert die neue Bundesregierung ihre rentenpolitischen Ziele. Diese sind vor dem Hintergrund der Bevölkerungsdynamik in Deutschland zu sehen. Ab dem Jahr 2020 wird sich die Altersstruktur der deutschen Bevölkerung deutlich verändern. In diesem Beitrag werden Simulationsrechnungen zu den Konsequenzen der rentenpolitischen Maßnahmen aus dem Koalitionsvertrag für die Finanzierung der gesetzlichen Rentenversicherung mit Hilfe eines Simulationsmodells dargestellt. Die im Koalitionsvertrag vorgesehenen Leistungsausweitungen verursachen langfristig Kosten in Höhe von etwa 2½ Prozentpunkten beim Beitragssatz zur gesetzlichen Rentenversicherung. Es werden ferner Maßnahmen – auch im Vergleich zu den Rentensystemen anderer Länder – diskutiert, mit denen der Anstieg des Beitragssatzes begrenzt werden könnte.
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The Social Origins of Inventors
Philippe Aghion, Ufuk Akcigit, Ari Hyytinen, Otto Toivanen
NBER Working Paper,
No. 24110,
2017
Abstract
In this paper we merge three datasets - individual income data, patenting data, and IQ data - to analyze the determinants of an individual's probability of inventing. We find that: (i) parental income matters even after controlling for other background variables and for IQ, yet the estimated impact of parental income is greatly diminished once parental education and the individual's IQ are controlled for; (ii) IQ has both a direct effect on the probability of inventing an indirect impact through education. The effect of IQ is larger for inventors than for medical doctors or lawyers. The impact of IQ is robust to controlling for unobserved family characteristics by focusing on potential inventors with brothers close in age. We also provide evidence on the importance of social family interactions, by looking at biological versus non-biological parents. Finally, we find a positive and significant interaction effect between IQ and father income, which suggests a misallocation of talents to innovation.
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