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Do Market Leaders Lead in Business Process Innovation? The Case(s) of E-Business Adoption
April 2011
Working Paper Number:
CES-11-10
This paper investigates the relationship between market position and the adoption of IT-enabled process innovations. Prior research has focused overwhelmingly on product innovation and garnered mixed empirical support. I extend the literature into the understudied area of business process innovation, developing a framework for classifying innovations based on the complexity, interdependence, and customer impact of the underlying business process. I test the framework's predictions in the context of ebuying and e-selling adoption. Leveraging detailed U.S. Census data, I find robust evidence that market leaders were significantly more likely to adopt the incremental innovation of e-buying but commensurately less likely to adopt the more radical practice of e-selling. The findings highlight the strategic significance of adjustment costs and co-invention capabilities in technology adoption, particularly as businesses grow more dependent on new technologies for their operational and competitive performance.
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National Estimates of Gross Employment and Job Flows from the Quarterly Workforce Indicators with Demographic and Industry Detail
June 2010
Working Paper Number:
CES-10-11
The Quarterly Workforce Indicators (QWI) are local labor market data produced and released every quarter by the United States Census Bureau. Unlike any other local labor market series produced in the U.S. or the rest of the world, the QWI measure employment flows for workers (accession and separations), jobs (creations and destructions) and earnings for demographic subgroups (age and gender), economic industry (NAICS industry groups), detailed geography (block (experimental), county, Core- Based Statistical Area, and Workforce Investment Area), and ownership (private, all) with fully interacted publication tables. The current QWI data cover 47 states, about 98% of the private workforce in those states, and about 92% of all private employment in the entire economy. State participation is sufficiently extensive to permit us to present the first national estimates constructed from these data. We focus on worker, job, and excess (churning) reallocation rates, rather than on levels of the basic variables. This permits comparison to existing series from the Job Openings and Labor Turnover Survey and the Business Employment Dynamics Series from the Bureau of Labor Statistics. The national estimates from the QWI are an important enhancement to existing series because they include demographic and industry detail for both worker and job flow data compiled from underlying micro-data that have been integrated at the job and establishment levels by the Longitudinal Employer-Household Dynamics Program at the Census Bureau. The estimates presented herein were compiled exclusively from public-use data series and are available for download.
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The Closure Effect: Evidence from Workers Compensation Litigation
January 2010
Working Paper Number:
CES-10-01
Consideration of the "best interests" of Workers Compensation (WC) claimants often involves the assumption that those who receive benefits in a "lump-sum" behave "too myopically" with respect to labor supply. However, many attorneys argue that lump-sum settlements induce a beneficial "sense of closure." In this paper, I provide an empirical context for these ideas using a unique set of linked administrative databases owned by the State of California. Upon receipt of a court-approved lump-sum settlement, WC claimants immediately increase labor supply. No such change is found for claimants who receive a court-approved settlement in which the insurer provides benefits over time, suggesting that the method of litigation settlement is a determinant of labor supply.
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Downsizing, Layoffs and Plant Closure: The Impacts of Import Price Pressure and Technological Growth on U.S. Textile Producers
April 2006
Working Paper Number:
CES-06-10
Downsizing, layoffs and plant closure are three plant-level responses to adverse economic conditions. I provide a theoretical and empirical analysis that illustrates the sources of each phenomenon and the implications for production and employment in the textiles industry. I consider two potential causes of these phenomena: technological progress and increased import competition. I create a micro-founded model of plant-level decision-making and combine it with conditions for dynamic market equilibrium. Through use of detailed plant-level information available in the US Census of Manufacturers and the Annual Survey of Manufacturers for the period 1982-2001, along with price data on imports, I examine the relative contribution of technology and import competition to the decline in output, employment and number of plants in textiles production in the US in recent years. The market-clearing domestic price of textiles is identified as a crucial channel in transmitting technology or import price shocks to downsizing, layoffs and plant closure. The model is estimated on two 4-digit sectors of textiles production (SIC 2211, broadwoven cotton and SIC 2221, broadwoven man-made fiber). The results validate modeling the production sectors as monopolistically competitive, and the elasticity of substitution between foreign and domestic varieties is found to be quite high. The coefficients on the productive technology are sensible, as are the estimated parameters of the plant exit, entry and investment decision rules. In simulations for the broadwoven cotton industry, the effects of technological progress are shown to have a much larger impact on layoffs than on plant closure, with plant size as measured by output actually increasing. Falling foreign prices lead to greater relative magnitudes of plant closure than of downsizing or layoffs.
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Import Price Pressure on Firm Productivity and Employment: The Case of U.S. Textiles
March 2006
Working Paper Number:
CES-06-09
Theoretical research has predicted three different effects of increased import competition on plant-level behavior: reduced domestic production and sales, improving average efficiency of plants, and increased exit of marginal firms. In empirical work, though, such effects are difficult to separate from the impact of exogenous technological progress (or regress). I use detailed plant-level information available in the US Census of Manufacturers and the Annual Survey of Manufacturers for the period 1983-2000 to decompose these effects. I derive the relative contribution of technology and import competition to the increase in productivity and the decline in employment in textiles production in the US in recent years. I then simulate the impact of removal of quota protection on the scale of operation of the average plant and the incentive to plant closure. The methodology employs a number of important innovations in examining the impact of falling import prices on the domestic production of an import-competing good. First, import competition is modeled directly through its impact on the relative prices of monopolistically competitive goods along the lines suggested by Melitz (2000). Second, the effect of technology is incorporated through structural estimation of plant-level production functions in four factors (capital, labor, energy and materials). Solutions to econometric difficulties related to missing capital data and unobserved productivity are incorporated into the estimation technique. The model is estimated for plants with primary product in SIC 2211 (broadwoven cotton cloth). Results validate modeling demand as for differentiated products. Technological coefficients are sensible, with exogenous technological progress playing a large role. In the simulations run, the effects of foreign price competition are orders of magnitude higher than those of technological progress for the period after quotas on imports are removed. The large-scale reduction in employment and output in the US is shown to be a combination of reduced employment and output at plants in continuous operation and of plant closures that exceed new entries.
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The Work Disincentive Effects of the Disability Insurance Program in the 1990s
February 2006
Working Paper Number:
CES-06-05
In this paper we evaluate the work disincentive effects of the Disability Insurance program during the 1990s. To accomplish this we construct a new large data set with detailed information on DI application and award decisions and use two different econometric evaluation methods. First, we apply a comparison group approach proposed by John Bound to estimate an upper bound for the work disincentive effect of the current DI program. Second, we adopt a Regression-Discontinuity approach that exploits a particular feature of the DI eligibility determination process to provide a credible point estimate of the impact of the DI program on labor supply for an important subset of DI applicants. Our estimates indicate that during the 1990s the labor force participation rate of DI beneficiaries would have been at most 20 percentage points higher had none received benefits. In addition, we find even smaller labor supply responses for the subset of 'marginal' applicants whose disability determination is based on vocational factors.
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Effect of Volatility Change on Product Diversification
October 2005
Working Paper Number:
CES-05-14
Studies of the volatility of the U.S. economy suggest a noticeable change in mid 1980s. There is some empirical evidence that the aggregate volatility of the U.S. economy has been decreasing over time. The response of firms to the change of economic volatility and economic fluctuation has been studied in terms of many margins a firm can adjust 'capital, labor, capacity, material, etc. However, we have not studied the most important margin ' the product. This paper studies the effect of profit volatility on the firm/plant level product diversification. Section 2 profiles diversification and shows that there is a downward trend of aggregate diversification in many industries. Cyclicality of diversification is not clear at the aggregate or industry level. Firms change their diversification very frequently and very differently from one another. Section 3 verifies the trend of volatility at the aggregate, sectoral, and firm level and studies the relationship between diversification and volatility at the firm level. Firm level diversification decreases as the aggregate, sectoral and idiosyncratic volatility decreases.
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Industrial Spillovers In Developing Countries: Plant-Level Evidence From Chile, Mexico And Morocco
January 1998
Working Paper Number:
CES-98-02
Recent trade and growth models have underscored the potential importance of external economies of scale. However, many of the most frequently modeled externalities have either not been measured or have been estimated with data too aggregate to be informative. In this paper, plant-level longitudinal data from Chile, Mexico and Morocco allow me to provide some of the first micro evidence on several types of external economies from plant-level production functions. The results indicate that in many industries own-industry output contributes positively to plant-level productivity. However, the effects of geographic concentration are mixed. Cross-country concentration, as measured by a geographic GINI index, often decreases productivity but within-province, same industry activity enhances it.
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Industrial Spillovers in Developing Countries: Plant-level Evidence From Chile, Mexico, and Morocco
January 1998
Working Paper Number:
CES-98-01
This paper documents the procedure used to match firm-level data from the Quarterly Financial Reports (QFR) to plant-level (establishment) data from the Longitudinal Research Database (LRD). The resulting matched firms and their plants provide a link between a firm's financial structure and its manufacturing plants. The linked database provides a resource that researchers can use to examine the interaction of financial structure with firm decisions - including decisions such as employment, investment, mergers, and asset redeployment. Financial structure characteristics in the QFR include the composition and amount of debt claims.
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Productivity Adjustments and Learning-by-Doing as Human Capital
November 1997
Working Paper Number:
CES-97-17
This paper measures plant-level productivity gains associated with learning curves across the entire manufacturing sector. We measure these gains at plant startups and also after major employment changes. We find: 1.) The gains are strongly associated with a variety of human capital measures implying that learning-by-doing is largely a firm-specific human capital investment. 2.) This implicit investment is large; many plants invest as much in learning-by-doing as they invest in physical capital and much more than they invest in formal job training. 3.) This investment differs persistently over industries and is higher with greater R&D. 4.) Consistent with a learning-by-doing interpretation, the human capital investment is much larger following employment decreases than increases. We conclude that learning-by-doing is a major factor in wage determination, technical progress and asymmetric employment adjustment costs.
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