IWH-Flash-Indikator I. Quartal und II. Quartal 2023
Katja Heinisch, Oliver Holtemöller, Axel Lindner, Birgit Schultz
IWH-Flash-Indikator,
No. 1,
2023
Abstract
Im vierten Quartal 2022 ging die Wirtschaftsleistung in Deutschland um 0,2% zurück. Insbesondere die privaten Haushalte erfüllten sich aufgrund der hohen Inflation weniger Konsumwünsche als noch im Quartal zuvor. Die Unterstützung seitens des Staates bei den hohen Energiepreisen federn die gestiegenen Lebenshaltungskosten der privaten Haushalte nur teilweise ab. Diese Kaufkraftverluste werden die Konsumenten wohl noch einige Zeit belasten. Die Unternehmen wurden hingegen bereits von den gesunkenen Beschaffungskosten auf den Weltmärkten etwas entlastet, und auch die Lieferkettenprobleme gingen zuletzt zurück. Allerdings trüben zahlreiche Krisenherde weltweit die Aussichten der deutschen Wirtschaft erneut ein. Zwar kommt es laut IWH-Flash-Indikator im ersten Quartal 2023 zu einer kurzen vorübergehenden Aufhellung, und die deutsche Wirtschaft legt um 0,5% zu. Jedoch schon im zweiten Quartal dürfte sich der Abwärtstrend mit einem Rückgang des Bruttoinlandsprodukts (BIP) um 0,3% fortsetzen (vgl. Abbildung 1).
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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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How Firms Respond to Business Cycles: The Role of Firm Age and Firm Size
Teresa C. Fort, John Haltiwanger, Ron S. Jarmin, Javier Miranda
IMF Economic Review,
No. 3,
2013
Abstract
There remains considerable debate in the theoretical and empirical literature about the differences in the cyclical dynamics of firms by firm size. This paper contributes to the debate in two ways. First, the key distinction between firm size and firm age is introduced. The evidence presented in this paper shows that young businesses (that are typically small) exhibit very different cyclical dynamics than small/older businesses. The second contribution is to present evidence and explore explanations for the finding that young/small businesses were hit especially hard in the Great Recession. The collapse in housing prices accounts for a significant part of the large decline of young/small businesses in the Great Recession.
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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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Who Creates Jobs? Small versus Large versus Young
John Haltiwanger, Ron S. Jarmin, Javier Miranda
Review of Economics and Statistics,
No. 2,
2013
Abstract
The view that small businesses create the most jobs remains appealing to policymakers and small business advocates. Using data from the Census Bureau's Business Dynamics Statistics and Longitudinal Business Database, we explore the many issues at the core of this ongoing debate. We find that the relationship between firm size and employment growth is sensitive to these issues. However, our main finding is that once we control for firm age, there is no systematic relationship between firm size and growth. Our findings highlight the important role of business start-ups and young businesses in U.S. job creation.
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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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Labor Market Analysis and Public Policy: The Case of Morocco
Guillermo Hakim, Julia Lane, Javier Miranda
World Bank Economic Review,
No. 3,
1999
Abstract
This article uses detailed industry and household data to understand why Morocco's labor market performed poorly in 1985–95. The data indicate that marked structural changes and weak demand in the product market were responsible. This article makes two contributions to the literature. The first is specific: it underscores that the demand for labor is a derived demand and that the performance of the product market is an important determinant of the performance of the labor market. The second is more general: it demonstrates that this kind of microeconomic analysis, using data sets that are often available in developing countries, can inform policy design.
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Changing Business Dynamism and Productivity: Shocks versus Responsiveness
Ryan A. Decker, John Haltiwanger, Ron S. Jarmin, Javier Miranda
American Economic Review,
No. 12,
2020
Abstract
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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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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Business Volatility, Job Destruction, and Unemployment
Steven J. Davis, R. Jason Faberman, John Haltiwanger, Ron S. Jarmin, Javier Miranda
American Economic Journal: Macroeconomics,
No. 2,
2010
Abstract
Unemployment inflows fell from 4 percent of employment per month in the early 1980s to 2 percent by the mid 1990s. Using low frequency movements in industry-level data, we estimate that a 1 percentage point drop in the quarterly job destruction rate lowers the monthly unemployment inflow rate by 0.28 points. By our estimates, declines in job destruction intensity account for 28 (55) percent of the fall in unemployment inflows from 1982 (1990) to 2005. Slower job destruction accounts for similar fractions of long-term declines in the rate of unemployment.
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