Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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Suppliers as Liquidity Insurers
Reint E. Gropp, Daniel Corsten, Panos Markou
IWH Discussion Papers,
No. 8,
2017
Abstract
We examine how financial constraints in portfolios of suppliers affect cash holdings at the level of the customer. Utilizing a data set of private and public French companies and their suppliers, we show that customers rely on their financially unconstrained suppliers to provide them with backup liquidity, and that they stockpile approximately 10% less cash than customers with constrained suppliers. This effect persisted during the global financial crisis, highlighting that suppliers may be viable insurers of liquidity even when financing from banks and other external channels is unavailable. We further show that customers with unconstrained suppliers also simultaneously receive more trade credit; that the reduction in cash holdings is greater for firms with stronger ties to their unconstrained suppliers; and that customers reduce their cash holdings following a significant relaxation in their suppliers’ financial constraints through an IPO. Taken together, the results provide important nuance regarding the implications of supplier portfolios and financial constraints on firm liquidity management.
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Inside Asset Purchase Programs: The Effects of Unconventional Policy on Banking Competition
Michael Koetter, Natalia Podlich, Michael Wedow
ECB Working Paper Series,
No. 2017,
2017
Abstract
We test if unconventional monetary policy instruments influence the competitive conduct of banks. Between q2:2010 and q1:2012, the ECB absorbed Euro 218 billion worth of government securities from five EMU countries under the Securities Markets Programme (SMP). Using detailed security holdings data at the bank level, we show that banks exposed to this unexpected (loose) policy shock mildly gained local loan and deposit market shares. Shifts in market shares are driven by banks that increased SMP security holdings during the lifetime of the program and that hold the largest relative SMP portfolio shares. Holding other securities from periphery countries that were not part of the SMP amplifies the positive market share responses. Monopolistic rents approximated by Lerner indices are lower for SMP banks, suggesting a role of the SMP to re-distribute market power differentially, but not necessarily banking 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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The Drivers of Revenue Productivity: a New Decomposition Analysis with Firm-level Data
Filippo di Mauro, Giordano Mion, Daniel Stöhlker
ECB Working Paper,
No. 2014,
2017
Abstract
This paper aims to derive a methodology to decompose aggregate revenue TFP changes over time into four different components – namely physical TFP, mark-ups, quality and production scale. The new methodology is applied to a panel of EU countries and manufacturing industries over the period 2006-2012. In summary, patterns of measured revenue productivity have been broadly similar across EU countries, most notably when we group them into stressed (Italy, Spain and Slovenia) and non-stressed countries (Belgium, Finland, France and Germany). In particular, measured revenue productivity drops for both groups by about 6 percent during the recent crisis. More specifically, for both stressed and non-stressed countries the drop in revenue productivity was accompanied by a substantial dip in the proxy we use for TFP in quantity terms, as well as by a strong reduction in mark-ups.
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Banks Credit and Productivity Growth
Fadi Hassan, Filippo di Mauro, Gianmarco Ottaviano
ECB Working Paper,
No. 2008,
2017
Abstract
Financial institutions are key to allocate capital to its most productive uses. In order to examine the relationship between productivity and bank credit in the context of different financial market set-ups, we introduce a model of overlapping generations of entrepreneurs under complete and incomplete credit markets. Then, we exploit firm-level data for France, Germany and Italy to explore the relation between bank credit and productivity following the main derivations of the model. We estimate an extended set of elasticities of bank credit with respect to a series of productivity measures of firms. We focus not only on the elasticity between bank credit and productivity during the same year, but also on the elasticity between credit and future realised productivity. Our estimates show a clear Eurozone core-periphery divide, the elasticities between credit and productivity estimated in France and Germany are consistent with complete markets, whereas in Italy they are consistent with incomplete markets. The implication is that in Italy firms turn to be constrained in their long-term investments and bank credit is allocated less efficiently than in France and Germany. Hence capital misallocation by banks can be a key driver of the long-standing slow productivity growth that characterises Italy and other periphery countries.
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Bank Risk Proxies and the Crisis of 2007/09: A Comparison
Felix Noth, Lena Tonzer
Applied Economics Letters,
No. 7,
2017
Abstract
The global financial crisis has again shown that it is important to understand the emergence and measurement of risks in the banking sector. However, there is no consensus in the literature which risk proxy works best at the level of the individual bank. A commonly used measure in applied work is the Z-score, which might suffer from calculation issues given poor data quality. Motivated by the variety of bank risk proxies, our analysis reveals that nonperforming assets are a well-suited complement to the Z-score in studies of bank risk.
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Bank-specific Shocks and House Price Growth in the U.S.
Franziska Bremus, Thomas Krause, Felix Noth
IWH Discussion Papers,
No. 3,
2017
Abstract
This paper investigates the link between mortgage supply shocks at the banklevel and regional house price growth in the U.S. using micro-level data on mortgage markets from the Home Mortgage Disclosure Act for the 1990-2014 period. Our results suggest that bank-specific mortgage supply shocks indeed affect house price growth at the regional level. The larger the idiosyncratic shocks to newly issued mortgages, the stronger is house price growth. We show that the positive link between idiosyncratic mortgage shocks and regional house price growth is very robust and economically meaningful, however not very persistent since it fades out after two years.
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The Effect of Board Directors from Countries with Different Genetic Diversity Levels on Corporate Performance
Manthos D. Delis, Chrysovalantis Gaganis, Iftekhar Hasan, Fotios Pasiouras
Management Science,
No. 1,
2017
Abstract
We link genetic diversity in the country of origin of the firms’ board members with corporate performance via board members’ nationality. We hypothesize that our approach captures deep-rooted differences in cultural, institutional, social, psychological, physiological, and other traits that cannot be captured by other recently measured indices of diversity. Using a panel of firms listed in the North American and UK stock markets, we find that adding board directors from countries with different levels of genetic diversity (either higher or lower) increases firm performance. This effect prevails when we control for a number of cultural, institutional, firm-level, and board member characteristics, as well as for the nationality of the board of directors. To identify the relationship, we use—as instrumental variables for our diversity indices—the migratory distance from East Africa and the level of ultraviolet exposure in the directors’ country of nationality.
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