-
International Trade and the Changing Demand for Skilled Workers in High-Tech Manufacturing
August 2007
Working Paper Number:
CES-07-22
This paper examines the effects of changing trade pressures on the demand for skilled workers in high-tech and traditional manufacturing industry groupings and in individual high-tech sectors. For industry groupings, changing import and export prices have mixed effects, with coefficients switching signs between wage share and employment share models. These findings suggest that changes in earnings and employment of skilled workers are not moving in the same direction in response to shifting trade pressures. For individual high-tech sectors, both price and orientation measures had significant effects, but the direction of these effects varied substantially by sector.
View Full
Paper PDF
-
Firms in International Trade
April 2007
Working Paper Number:
CES-07-14
Standard models of international trade devote little attention to firms. Yet of the 5.5 million firms operating in the United States in 2000, just 4 percent engaged in exporting, and the top 10 percent of these exporting firms accounted for 96 percent of U.S. exports. Since the mid 1990s, a large number of empirical studies have provided a wealth of information about the important role that firms play in mediating countries' imports and exports. This research, based on micro datasets that track countries' production and trade at the firm level, demonstrates that trading firms differ substantially from firms that solely serve the domestic market. Across a wide range of countries and industries, exporters have been shown to be larger, more productive, more skill- and capital-intensive, and to pay higher wages than non-trading firms.2 Furthermore, these differences exist even before exporting begins. The ex ante 'superiority' of exporters suggests self-selection: exporters are more productive, not as a result of exporting, but because only the most productive firms are able to overcome the costs of entering export markets. It is precisely this sort of microeconomic heterogeneity that grants firms the ability to influence macroeconomic outcomes. When trade policy barriers fall or transportation costs decline, high-productivity exporting firms survive and grow while lower-productivity non-exporting firms are more likely to fail. This reallocation of economic activity across firms raises aggregate productivity and provides a new source of welfare gains from trade. Confronting the challenges posed by the analysis of micro data has shifted the focus of the international trade field from countries and industries towards firms and products. We highlight these challenges with a detailed analysis of how trading firms differ from non-trading firms in the United States. We show how these differences serve as the foundation of a series of recent heterogeneous-firm models that offer new insights into the causes and consequences of international trade. We then introduce a new set of stylized facts that emerge from analysis of recently available U.S. customs data. These transaction-level trade data track all of the products imported and exported by the U.S. firms to all of its trading partners from 1992 to 2000. They show that the extensive margins of trade ' that is, the number of products firms trade as well as the number of countries they trade with ' are central to understanding the well-known role of distance in dampening aggregate trade flows. We conclude with suggestions for further theoretical and empirical research.
View Full
Paper PDF
-
Estimating the Distribution of Plant-Level Manufacturing Energy Efficiency with Stochastic Frontier Regression
March 2007
Working Paper Number:
CES-07-07
A feature commonly used to distinguish between parametric/statistical models and engineering models is that engineering models explicitly represent best practice technologies while the parametric/statistical models are typically based on average practice. Measures of energy intensity based on average practice are less useful in the corporate management of energy or for public policy goal setting. In the context of company or plant level energy management, it is more useful to have a measure of energy intensity capable of representing where a company or plant lies within a distribution of performance. In other words, is the performance close (or far) from the industry best practice? This paper presents a parametric/statistical approach that can be used to measure best practice, thereby providing a measure of the difference, or 'efficiency gap' at a plant, company or overall industry level. The approach requires plant level data and applies a stochastic frontier regression analysis to energy use. Stochastic frontier regression analysis separates the energy intensity into three components, systematic effects, inefficiency, and statistical (random) error. The stochastic frontier can be viewed as a sub-vector input distance function. One advantage of this approach is that physical product mix can be included in the distance function, avoiding the problem of aggregating output to define a single energy/output ratio to measure energy intensity. The paper outlines the methods and gives an example of the analysis conducted for a non-public micro-dataset of wet corn refining plants.
View Full
Paper PDF
-
The Importance of Reallocations in Cyclical Productivity and Returns to Scale: Evidence from Plant-Level Data
March 2007
Working Paper Number:
CES-07-05
This paper provides new evidence that estimates based on aggregate data will understate the true procyclicality of total factor productivity. I examine plant-level data and show that some industries experience countercyclical reallocations of output shares among firms at different points in the business cycle, so that during recessions, less productive firms produce less of the total output, but during expansions they produce more. These reallocations cause overall productivity to rise during recessions, and do not reflect the actual path of productivity of a representative firm over the course of the business cycle. Such an effect (sometimes called the cleansing effect of recessions) may also bias aggregate estimates of returns to scale and help explain why decreasing returns to scale are found at the industry-level data.
View Full
Paper PDF
-
A General Inter-Industry Relatedness Index
December 2006
Working Paper Number:
CES-06-31
Firm growth and expansion is widely believed to be guided by the desire to leverage existing resources. But which resources? The answer depends largely on context.the peculiarities of industries, firms, technologies, production, customers, and a host of other dimensions. This fact makes pointing to any particular set of resources as the source of expansion decisions potentially problematic and makes more difficult tests of theories such as the resource-based view of the firm. This paper tackles the problem by developing a general inter-industry relatedness index that can be usefully applied across industry and firm contexts. The index harnesses the relatedness information embedded in the multi-product organization and diversification decisions of every firm in the US manufacturing economy. The index is general in that it implicitly varies the underlying resources upon which expansion proceeds with the industries in question and provides a percentile relatedness rank for every possible pair of fourdigit SIC manufacturing industries. The general index is tested for predictive validity and found to perform as expected. Applications of the index in strategy research are suggested.
View Full
Paper PDF
-
Industry Learning Environments and the Heterogeneity of Firm Performance
December 2006
Working Paper Number:
CES-06-29
This paper characterizes inter-industry heterogeneity in rates of learning-by-doing and examines how industry learning rates are connected with firm performance. Using data from the Census Bureau and Compustat, we measure the industry learning rate as the coefficient on cumulative output in a production function. We find that learning rates vary considerably among industries and are higher in industries with greater R&D, advertising, and capital intensity. More importantly, we find that higher rates of learning are associated with wider dispersion of Tobin's q and profitability among firms in the industry. Together, these findings suggest that learning intensity represents an important characteristic of the industry environment.
View Full
Paper PDF
-
Reallocation and Productivity Dynamics in the Appalachian Region
January 2006
Working Paper Number:
CES-06-03
The Appalachian Region has long suffered from poor economic performance as measured over a variety of dimensions. Even as the region has improved over the last few decades, Appalachia still lags behind the nation. A growing body of empirical work has found that reallocation is pervasive in the U.S. economy and is an integral component of economic growth. Productivity growth is improved when resources are shifted from less productive establishments towards more productive establishments either through changes in existing establishments or through the births and deaths of establishments. Establishments that use new products, technologies, and production processes replace establishments that do not in a continual process of creative destruction. Using establishment-level data, this paper examines the reallocation and productivity dynamics of the Appalachian Region. The first part of the paper compares the reallocation dynamics of Appalachia to the rest of the U.S. using a newly developed establishment-level database that covers virtually the entire U.S. economy. From this analysis, it is apparent that establishment birth and death rates and job creation and destruction rates for Appalachia are consistently below those for the rest of the U.S.. The second part of the paper uses data from the Economic Censuses to determine whether the establishment and employment dynamics of the Appalachian Region are also qualitatively different (in terms of their productivity rankings) from their U.S. counterparts. It appears that the North subregion of Appalachia has reallocation and productivity dynamics that are consistent with an impeded creative destruction story.
View Full
Paper PDF
-
Soft and Hard Within- and Between-Industry Changes of U.S. Skill Intensity: Shedding Light on Worker's Inequality
January 2006
Working Paper Number:
CES-06-01
In order to examine the worsening of inequality between workers of different skill levels over the past three decades and to further motivate the theoretical discussion on this issue, we use the decomposition methodology to focus on the interaction of within- and between-industry changes of the relative skill intensity in U.S. manufacturing. Unlike previous work, we use more detailed levels of industry classification (5-digit SIC product codes), and we analyze the impact of plants switching industries as well as of plant births and deaths on these changes. Internal, plant-level data from the U.S. Census Bureau's Longitudinal Research Database and the new Longitudinal Business Database provide us with the requisite information to conduct these studies. Finally, our empirical conclusions are discussed in relation to the inspired theoretical inference, as they enrich the debate concerning the sources of the inequality by justifying the skill-biased character of technical change.
View Full
Paper PDF
-
The Role of Retail Chains: National, Regional, and Industry Results
December 2005
Working Paper Number:
CES-05-30
We use the establishment level data in the Longitudinal Business Database to measure changes in market structure in the U.S. Retail Trade sector during the period, 1976 to 2000. We use firm ownership information to construct measures of firm entry and exit and also to categorize four types of retail firms: single location, and local, regional, and national chains. We use detailed location data to examine market structure in both national and county markets. We summarize the county level results into three groups: metropolitan, micropolitan, and rural. We find that retail activity is increasingly occurring at establishments owned by chain firms, especially large national chains. On average, we find that all types of retail firms are increasing in size during the period. We also find that larger markets experience more firm turnover. Finally, we see that entry and exit rates vary across two-digit retail industries.
View Full
Paper PDF
-
The Impact of Minimum Quality Standards on Firm Entry, Exit and Product Quality: The Case of the Child Care Market
December 2005
Working Paper Number:
CES-05-28
We examine the impact of minimum quality standards on the supply side of the child care market, using a unique panel data set merged from the Census of Services Industries, state regulation data, and administrative accreditation records from the National Association of Education for Young Children. We control for state-specific and time-specific fixed effects in order to mitigate the biases associated with policy endogeneity. We find that the effects of quality standards specifying the labor intensiveness of child care services are strikingly different from those specifying staff qualifications. Higher staff-child ratio requirements deter entry and reduce the number of operating child care establishments. This entry barrier appears to select establishments with better quality into the market and alleviates competition among existing establishments: existing establishments are more likely to receive accreditation and higher profits, and are less likely to exit. By contrast, higher staff-education requirements do not have entry-deterrence effects. They do have the unintended effects of discouraging accreditation, reducing owners' profits, and driving firms out of businesses.
View Full
Paper PDF
