Professor Javier Miranda, Ph.D.

Aktuelle Position

seit 4/21

Professor für Mikroökonomik insb. Produktivitätsforschung

Friedrich-Schiller-Universität Jena

seit 3/21

Stellvertretender Leiter der Abteilung Strukturwandel und Produktivität

Leibniz-Institut für Wirtschaftsforschung Halle (IWH)


  • Innovation
  • Entrepreneurship
  • empirische Produktivitätsforschung

Javier Miranda ist seit März 2021 am IWH und Professor an der Friedrich-Schiller-Universität Jena. Er forscht zu den Themen Unternehmensdynamik, Beschäftigung und Produktivitätswachstum, wachstumsstarke Unternehmen, Unternehmensfinanzierung, Innovation, Entrepreneurship sowie synthetische Daten.

Javier Miranda studierte an der Universidad Autónoma de Madrid und promovierte an der American University in Washington, D.C. Bevor er zum IWH kam, war er Principal Economist beim US Census Bureau.

Ihr Kontakt

Professor Javier Miranda, Ph.D.
Mitglied - Abteilung Strukturwandel und Produktivität
Nachricht senden +49 345 7753-750



Changing Business Dynamism and Productivity: Shocks versus Responsiveness

Ryan A. Decker John Haltiwanger Ron S. Jarmin Javier Miranda

in: American Economic Review, Nr. 12, 2020


The pace of job reallocation has declined in the United States in recent decades. We draw insight from canonical models of business dynamics in which reallocation can decline due to (i) lower dispersion of idiosyncratic shocks faced by businesses, or (ii) weaker marginal responsiveness of businesses to shocks. We show that shock dispersion has actually risen, while the responsiveness of business-level employment to productivity has weakened. Moreover, declining responsiveness can account for a significant fraction of the decline in the pace of job reallocation, and we find suggestive evidence this has been a drag on aggregate productivity.

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Age and High-Growth Entrepreneurship

Pierre Azoulay Benjamin Jones J. Daniel Kim Javier Miranda

in: American Economic Review: Insights, Nr. 1, 2020


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

in: Journal of Economics and Management Strategy, Nr. 1, 2020


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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Immigration and Entrepreneurship in the United States

Pierre Azoulay Benjamin Jones J. Daniel Kim Javier Miranda

in: NBER Working Paper, Nr. 27778, 2020


Immigration can expand labour supply and create greater competition for native-born workers. But immigrants may also start new firms, expanding labour 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. 

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Measuring the Impact of Household Innovation using Administrative Data

Javier Miranda Nikolas Zolas

in: NBER Working Paper, Nr. 25259, 2018


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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Development of Survey Questions on Robotics Expenditures and Use in U.S. Manufacturing Establishments

Catherine Buffington Javier Miranda Robert Seamans

in: Center for Economic Studies (CES) Working Paper Series, Nr. 44, 2018


The U.S. Census Bureau in partnership with a team of external researchers developed a series of questions on the use of robotics in U.S. manufacturing establishments. The questions include: (1) capital expenditures for new and used industrial robotic equipment in 2018, (2) number of industrial robots in operation in 2018, and (3) number of industrial robots purchased in 2018. These questions are to be included in the 2018 Annual Survey of Manufactures. This paper documents the background and cognitive testing process used for the development of these questions.

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