Innovation, Reallocation, and Growth
Daron Acemoglu, Ufuk Akcigit, Harun Alp, Nicholas Bloom, William R. Kerr
American Economic Review,
No. 11,
2018
Abstract
We build a model of firm-level innovation, productivity growth, and reallocation featuring endogenous entry and exit. A new and central economic force is the selection between high- and low-type firms, which differ in terms of their innovative capacity. We estimate the parameters of the model using US Census microdata on firm-level output, R&D, and patenting. The model provides a good fit to the dynamics of firm entry and exit, output, and R&D. Taxing the continued operation of incumbents can lead to sizable gains (of the order of 1.4 percent improvement in welfare) by encouraging exit of less productive firms and freeing up skilled labor to be used for R&D by high-type incumbents. Subsidies to the R&D of incumbents do not achieve this objective because they encourage the survival and expansion of low-type firms.
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Connecting to Power: Political Connections, Innovation, and Firm Dynamics
Ufuk Akcigit, Salomé Baslandze, Francesca Lotti
NBER Working Paper,
No. 25136,
2018
Abstract
How do political connections affect firm dynamics, innovation, and creative destruction? To answer this question, we build a firm dynamics model, where we allow firms to invest in innovation and/or political connection to advance their productivity and to overcome certain market frictions. Our model generates a number of theoretical testable predictions and highlights a new interaction between static gains and dynamic losses from rent-seeking in aggregate productivity. We test the predictions of our model using a brand-new dataset on Italian firms and their workers, spanning the period from 1993 to 2014, where we merge: (i) firm-level balance sheet data; (ii) social security data on the universe of workers; (iii) patent data from the European Patent Office; (iv) the national registry of local politicians; and (v) detailed data on local elections in Italy. We find that firm-level political connections are widespread, especially among large firms, and that industries with a larger share of politically connected firms feature worse firm dynamics. We identify a leadership paradox: when compared to their competitors, market leaders are much more likely to be politically connected, but much less likely to innovate. In addition, political connections relate to a higher rate of survival, as well as growth in employment and revenue, but not in productivity – a result that we also confirm using a regression discontinuity design.
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Business Dynamics of Innovating Firms: Linking U.S. Patents with Administrative Data on Workers and Firms
Stuart Graham, Cheryl Grim, Tariqul Islam, Alan Marco, Javier Miranda
Journal of Economics and Management Strategy,
No. 3,
2018
Abstract
This paper discusses the construction of a new longitudinal database tracking inventors and patent-owning firms over time. We match granted patents between 2000 and 2011 to administrative databases of firms and workers housed at the U.S. Census Bureau. We use inventor information in addition to the patent assignee firm name to improve on previous efforts linking patents to firms. The triangulated database allows us to maximize match rates and provide validation for a large fraction of matches. In this paper, we describe the construction of the database and explore basic features of the data. We find patenting firms, particularly young patenting firms, disproportionally contribute jobs to the U.S. economy. We find that patenting is a relatively rare event among small firms but that most patenting firms are nevertheless small, and that patenting is not as rare an event for the youngest firms compared to the oldest firms. Although manufacturing firms are more likely to patent than firms in other sectors, we find that most patenting firms are in the services and wholesale sectors. These new data are a product of collaboration within the U.S. Department of Commerce, between the U.S. Census Bureau and the U.S. Patent and Trademark Office.
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Living with Lower Productivity Growth: Impact on Exports
Filippo di Mauro, Bernardo Mottironi, Gianmarco Ottaviano, Alessandro Zona-Mattioli
IWH-CompNet Discussion Papers,
No. 1,
2018
Abstract
This paper investigates the impact of sustained lower productivity growth on exports, by looking at the role of the productivity distribution and allocative efficiency as drivers of export performance. It follows and goes beyond the work of Barba Navaretti et al. (2017), analysing the effects of productivity on exports depending on the dynamics of allocative efficiency. Low productivity growth is a well-documented stylised fact in Western countries – and possibly a reality likely to persist for some time. What could be the impact of persistent sluggish growth of productivity on exports? To shed light on this question, this paper examines the relationship between the productivity distribution of firms and sectoral export performance. The structure of firms within countries or even sectors matters tremendously for the nexus between productivity and exports at the macroeconomic level, as the theoretical and empirical literature documents. For instance, whether too few firms at the top (lack of innovation) or too many firms at the bottom (weak market selection) drives slow average productivity at the macro level has very different implications and therefore demands different policy responses.
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Wage Bargaining Regimes and Firms‘ Adjustments to the Great Recession
Filippo di Mauro, Maddalena Ronchi
IWH-CompNet Discussion Papers,
No. 1,
2017
Abstract
The paper aims at investigating to what extent wage negotiation set-ups have shaped up firms’ response to the Great Recession, taking a firm-level cross-country perspective. We contribute to the literature by building a new micro-distributed database which merges data related to wage bargaining institutions (Wage Dynamic Network, WDN) with data on firm productivity and other relevant firm characteristics (CompNet). We use the database to study how firms reacted to the Great Recession in terms of variation in profits, wages, and employment. The paper shows that, in line with the theoretical predictions, centralized bargaining systems – as opposed to decentralized/firm level based ones – were accompanied by stronger downward wage rigidity, as well as cuts in employment and profits.
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Declining Dynamism, Allocative Efficiency, and the Productivity Slowdown
Ryan A. Decker, John Haltiwanger, Ron S. Jarmin, Javier Miranda
American Economic Review: Papers and Proceedings,
No. 5,
2017
Abstract
A large literature documents declining measures of business dynamism including high-growth young firm activity and job reallocation. A distinct literature describes a slowdown in the pace of aggregate labor productivity growth. We relate these patterns by studying changes in productivity growth from the late 1990s to the mid 2000s using firm-level data. We find that diminished allocative efficiency gains can account for the productivity slowdown in a manner that interacts with the within-firm productivity growth distribution. The evidence suggests that the decline in dynamism is reason for concern and sheds light on debates about the causes of slowing productivity growth.
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Wage Bargaining Regimes and Firms' Adjustments to the Great Recession
Filippo di Mauro, Maddalena Ronchi
ECB Working Paper,
No. 2051,
2017
Abstract
The paper aims at investigating to what extent wage negotiation setups have shaped up firms’ response to the Great Recession, taking a firm-level cross-country perspective. We contribute to the literature by building a new micro-distributed database which merges data related to wage bargaining institutions (Wage Dynamic Network, WDN) with data on firm productivity and other relevant firm characteristics (CompNet). We use the database to study how firms reacted to the Great Recession in terms of variation in profits, wages, and employment. The paper shows that, in line with the theoretical predictions, centralized bargaining systems – as opposed to decentralized/firm level based ones – were accompanied by stronger downward wage rigidity, as well as cuts in employment and profits.
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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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