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The Dynamics of Plant-Level Productivity in U.S. Manufacturing
July 2006
Working Paper Number:
CES-06-20
Using a unique database that covers the entire U.S. manufacturing sector from 1976 until 1999, we estimate plant-level total factor productivity for a large number of plants. We characterize time series properties of plant-level idiosyncratic shocks to productivity, taking into account aggregate manufacturing-sector shocks and industry-level shocks. Plant-level heterogeneity and shocks are a key determinant of the cross-sectional variations in output. We compare the persistence and volatility of the idiosyncratic plant-level shocks to those of aggregate productivity shocks estimated from aggregate data. We find that the persistence of plant level shocks is surprisingly low-we estimate an average autocorrelation of the plantspecific productivity shock of only 0.37 to 0.41 on an annual basis. Finally, we find that estimates of the persistence of productivity shocks from aggregate data have a large upward bias. Estimates of the persistence of productivity shocks in the same data aggregated to the industry level produce autocorrelation estimates ranging from 0.80 to 0.91 on an annual basis. The results are robust to the inclusion of various measures of lumpiness in investment and job flows, different weighting methods, and different measures of the plants' capital stocks.
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Volatility and Dispersion in Business Growth Rates: Publicly Traded Versus Privately Held Firms
July 2006
Working Paper Number:
CES-06-17
We study the variability of business growth rates in the U.S. private sector from 1976 onwards. To carry out our study, we exploit the recently developed Longitudinal Business Database (LBD), which contains annual observations on employment and payroll for all U.S. businesses. Our central finding is a large secular decline in the cross sectional dispersion of firm growth rates and in the average magnitude of firm level volatility. Measured the same way as in other recent research, the employment-weighted mean volatility of firm growth rates has declined by more than 40% since 1982. This result stands in sharp contrast to previous findings of rising volatility for publicly traded firms in COMPUSTAT data. We confirm the rise in volatility among publicly traded firms using the LBD, but we show that its impact is overwhelmed by declining volatility among privately held firms. This pattern holds in every major industry group. Employment shifts toward older businesses account for 27 percent or more of the volatility decline among privately held firms. Simple cohort effects that capture higher volatility among more recently listed firms account for most of the volatility rise among publicly traded firms.
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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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Plant Turnover and Demand Fluctuations in the Ready-Mix Concrete Industry
March 2006
Working Paper Number:
CES-06-08
Fluctuations in demand cause some plants to exit a market and other to enter. Would eliminating these 'uctuations reduce plant turnover? A structural model of entry and exit in concentrated markets is estimated for the ready-mix concrete industry, using plant level data from the U.S. Census. The Nested Pseudo-Likelihood algorithm is used to 'nd parameters which rationalize behavior of 'rms involved in repeated competition. Due to high sunk costs, turnover rates would only be reduced by 3% by eliminating demand 'uctuations at the county level, saving around 20 million dollars a year in scrapped capital. However, demand 'uctuations blunt 'rms'incentive to invest, reducing the number of large plants by more than 50%.
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Factor Price Equality and the Economies of the United States
October 2005
Working Paper Number:
CES-05-21
We develop a methodology for identifying departures from relative factor price equality across regions that is valid under general assumptions about production, markets and factors. Application of this methodology to the United States reveals substantial and increasing deviations in relative skilled wages across labor markets in both 1972 and 1992 . These deviations vary systematically with labor markets' industry structure both in cross section and over time.
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Importers, Exporters, and Multinationals: A Portrait of Firms in the U.S. that Trade Goods
October 2005
Working Paper Number:
CES-05-20
This paper provides an integrated view of globally engaged U.S. firms by exploring a newly developed dataset that links U.S. international trade transactions to longitudinal data on U.S. enterprises. These data permit examination of a number of new dimensions of firm activity, including how many products firms trade, how many countries firms trade with, the characteristics of those countries, the concentration of trade across firms, whether firms transact at arms length or with related parties, and whether firms import as well as export. Firms that trade goods play an important role in the U.S., employing more than a third of the U.S. workforce. We find that the most globally engaged U.S. firms, i.e. those that both export to and import from related parties, dominate U.S. trade flows and employment at trading firms. We also find that firms that begin trading between 1993 and 2000 experience especially rapid employment growth and are a major force in overall job creation.
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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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The Dynamics of Worker Reallocation Within and Across Industries
June 2005
Working Paper Number:
tp-2005-02
This paper uses an integrated employer-employee data set to answer two key questions:
1. What is the "equilibrium" amount of worker reallocation in the economy - both within and across industries?
2. How much does firm-level job reallocation affect the separation probabilities of workers?
Consistent with other work, we find that there is a great deal of reallocation in the economy,
although this varies substantially across demographic group. Much worker reallocation is
within the economy, roughly evenly split between within and across broadly defined
industries. An important new finding is that much of this reallocation is confined to a
relatively small subset of workers that is shuffled across jobs - both within and across
industries - in the economy. However, we also find that even for the most stable group of
workers, firm level job reallocation substantially increases the probability of transition for
even the most stable group of workers. Finally, workers who are employed in industries that
provide low returns to tenure are much more likely to reallocate both within and across
industries.
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Micro and Macro Data Integration: The Case of Capital
May 2005
Working Paper Number:
CES-05-02
Micro and macro data integration should be an objective of economic measurement as it is clearly advantageous to have internally consistent measurement at all levels of aggregation ' firm, industry and aggregate. In spite of the apparently compelling arguments, there are few measures of business activity that achieve anything close to micro/macro data internal consistency. The measures of business activity that are arguably the worst on this dimension are capital stocks and flows. In this paper, we document, quantify and analyze the widely different approaches to the measurement of capital from the aggregate (top down) and micro (bottom up) perspectives. We find that recent developments in data collection permit improved integration of the top down and bottom up approaches. We develop a prototype hybrid method that exploits these data to improve micro/macro data internal consistency in a manner that could potentially lead to substantially improved measures of capital stocks and flows at the industry level. We also explore the properties of the micro distribution of investment. In spite of substantial data and associated measurement limitations, we show that the micro distributions of investment exhibit properties that are of interest to both micro and macro analysts of investment behavior. These findings help highlight some of the potential benefits of micro/macro data integration.
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