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Papers Containing Keywords(s): 'commodity'

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  • Working Paper

    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.
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  • Working Paper

    The Effects of Low-Valued Transactions on the Quality of U.S. International Export Estimates: 1994-1998

    August 2004

    Authors: Charles Ian Mead

    Working Paper Number:

    CES-04-11

    This paper uses data from the U.S. Census Bureau Annual Survey of Manufactures (ASM) to examine the effects that a growth of low-valued transactions likely has on the quality of export estimates provided in the U.S. International Trade in Goods and Services (FT-990) series. These transactions, valued at less than $2,500, do not legally require the filing of export declarations. As a result, they are often not captured in the administrative records data used to construct FT-990 estimates. By comparing industry-level estimates created from the ASM to related FT-990 estimates, this paper estimates that the undercounting of low-valued transactions in the FT-990 export series increases by roughly $30 billion over the period of 1994-1997. It also finds that regression analysis provides little insight into the undercounting issue as results are primarily driven by industries whose contributions to total manufacturing exports are small.
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  • Working Paper

    Market Structure and Productivity: A Concrete Example

    June 2001

    Authors: Chad Syverson

    Working Paper Number:

    CES-01-06

    This paper shows that imperfect output substitutability explains part of the observed persistent plant-level productivity dispersion. Specifically, as substitutability in a market increases, the market's productivity distribution exhibits falling dispersion and higher central tendency. The proposed mechanism behind this result is truncation of the distribution from below as increased substitutability shifts demand to lower-cost plants and drives inefficient plants out of business. In a case study of the ready-mixed concrete industry, I examine the impact of one manifestation of this effect, driven by geographic market segmentation resulting from transport costs. A theoretical foundation is presented characterizing how differences in the density of local demand impact the number of producers and the ability of customers to choose between suppliers, and through this, the equilibrium productivity and output levels across regions. I also introduce a new method of obtaining plant-level productivity estimates that is well suited to this application and avoids potential shortfalls of commonly used procedures. I use these estimates to empirically test the presented theory, and the results support the predictions of the model. Local demand density has a significant influence on the shape of plant-level productivity distributions, and accounts for part of the observed intra-industry variation in productivity, both between and within given market areas.
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  • Working Paper

    Output Price And Markup Dispersion In Micro Data: The Roles Of Producer And Heterogeneity And Noise

    August 1997

    Working Paper Number:

    CES-97-10

    This paper provides empirical evidence on the extent of producer heterogeneity in the output market by analyzing output price and price-marginal cost markups at the plant level for thirteen homogeneous manufactured goods. It relies on micro data from the U.S. Census of Manufactures over the 1963-1987 period. The amount of price heterogeneity varies substantially across products. Over time, plant transition patterns indicate more persistence in the pricing of individual plants than would be generated by purely random movements. High-price and low-price plants remain in the same part of the price distribution with high frequency, suggesting that underlying time-invariant structural factors contribute to the price dispersion. For all but two products, large producers have lower output prices. Marginal cost and the markups are estimated for each plant. The markup remains unchanged or increases with plant size for all but four of the products and declining marginal costs play an important role in generating this pattern. The lower production costs for large producers are, at least partially, passed on to purchasers as lower output prices. Plants with the highest and lowest markups tend to remain so over time, although overall the persistence in markups is less than for output price, suggesting a larger role for idiosyncratic shocks in generating markup variation.
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  • Working Paper

    Primary Versus Secondary Production Techniques in U.S. Manufacturing

    October 1994

    Working Paper Number:

    CES-94-12

    In this paper we discuss and analyze a classical economic puzzle: whether differences in factor intensities reflect patterns of specialization or the co-existence of alternative techniques to produce output. We use observations on a large cross-section of U.S. manufacturing plants from the Census of Manufactures, including those that make goods primary to other industries, to study differences in production techniques. We find that in most cases material requirements do not depend on whether goods are made as primary products or as secondary products, which suggests that differences in factor intensities usually reflect patterns of specialization. A few cases where secondary production techniques do differ notably are discussed in more detail. However, overall the regression results support the neoclassical assumption that a single, best-practice technique is chosen for making each product.
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  • Working Paper

    Recent Twists of the Wage Structure and Technology Diffusion

    March 1994

    Authors: James D Adams

    Working Paper Number:

    CES-94-05

    This paper is an empirical study of the impact on U.S. wage structure of domestic technology, foreign technology, and import penetration. A model is presented which combines factor proportions theory with a version of growth theory. The model, which assumes two levels of skill, suggests that domestic technology raises both wages, while foreign technology, on a simple interpretation, lowers both. Trade at a constant technology, as usual, lowers the wage of that class of labor used intensively by the affected industry, and raises the other wage. The findings support the predictions of the model for domestic technology. On the other hand, they suggest that technological change, and perhaps other factors, have obscured the role of factor proportions in the data. Indeed, foreign technology and trade have the same effect on wages at different skill levels, not the opposite effects suggested by factor proportions. Finally, a simple diffusion story, in which foreign technology lowers all U.S. wages, is also rejected. Instead, uniformly higher U.S. wages, not lower, appear to be associated with the technology and trade of the oldest trading partners of the U.S., the economies of the West. Not so for Asia, especially the smaller countries which have recently accelerated their trade with the U.S. Their effects are uniformly negative on wages, suggesting a distinction between shock and long run effects of foreign technology and trade.
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  • Working Paper

    Testing the Advantages of Using Product Level Data to Create Linkages Across Industrial Coding Systems

    October 1993

    Authors: Suzanne Peck

    Working Paper Number:

    CES-93-14

    After the major revision of the U.S. Standard Industrial Classification system (SIC) in the 1987, the problem arose of how to evaluate industrial performance over time. The revision resulted in the creation of new industries, the combination of old industries, and the remixing of other industries to better reflect the present U.S. economy. A method had to be developed to make the old and new sets of industries comparable over time. Ryten (1991) argues for performing the conversion at the "most micro level," the product level. Linking industries should be accomplished by reclassifying product data of each establishment to a standard system, reassigning the primary activity of the establishment, reaggregating the data to the industry level, and then making the desired statistical comparison (Ryten, 1991). This paper discusses linking the data at the very micro, product level, and at the more macro, industry level. The results suggest that with complete product information the product level conversion is preferable for most industries in manufacturing because it recognizes that establishments may switch their primary industry because of the conversion. For some industries, especially those having no substantial changes in SIC codes over time, the conversion at the industry level is fairly accurate. A small group of industries lacks complete product information in 1982 to link the 1982 product codes to the 1987 codes. This results in having to rely on the industry concordance to create a time series of statistics.
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  • Working Paper

    CONSTRUCTION OF REGIONAL INPUT-OUTPUT TABLES FROM ESTABLISHMENT-LEVEL MICRODATA: ILLINOIS, 1982

    August 1993

    Authors: Eduardo Martins

    Working Paper Number:

    CES-93-12

    This paper presents a new method for use in the construction of hybrid regional input-output tables, based primarily on individual returns from the Census of Manufactures. Using this method, input- output tables can be completed at a fraction of the cost and time involved in the completion of a full survey table. Special attention is paid to secondary production, a problem often ignored by input-output analysts. A new method to handle secondary production is presented. The method reallocates the amount of secondary production and its associated inputs, on an establishment basis, based on the assumption that the input structure for any given commodity is determined not by the industry in which the commodity was produced, but by the commodity itself -- the commodity-based technology assumption. A biproportional adjustment technique is used to perform the reallocations.
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  • Working Paper

    Evidence on IO Technology Assumptions From the Longitudinal Research Database

    May 1993

    Authors: Joe Mattey

    Working Paper Number:

    CES-93-08

    This paper investigates whether a popular IO technology assumption, the commodity technology model, is appropriate for specific United States manufacturing industries, using data on product composition and use of intermediates by individual plants from the Census Longitudinal Research Database. Extant empirical research has suggested the rejection of this model, owing to the implication of aggregate data that negative inputs are required to make particular goods. The plant-level data explored here suggest that much of the rejection of the commodity technology model from aggregative data was spurious; problematic entries in industry-level IO tables generally have a very low Census content. However, among the other industries for which Census data on specified materials use is available, there is a sound statistical basis for rejecting the commodity technology model in about one-third of the cases: a novel econometric test demonstrates a fundamental heterogeneity of materials use among plants that only produce the primary products of the industry.
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  • Working Paper

    Measuring The Trade Balance In Advanced Technology Products

    January 1989

    Working Paper Number:

    CES-89-01

    Because of the dramatic decline in the United States Trade Balance since the early 1970's, many economists and policy makers have become increasingly concerned about the ability of U.S. manufacturers to compete with foreign producers. Initially concern was limited to a few basic industries such as shoes, clothing, and steel; but more recently foreign producers have been effectively competing with U.S. manufacturers in automobiles, electronics, and other consumer products. It now seems that foreign producers are even challenging the dominance of America in high technology industries. The most recent publication from the International Trade Administration shows that the U.S. Trade Balance in high technology industries fell from a $24 billion surplus in 1982, to a $2.6 billion deficit in 1986, before rebounding to a $591 million surplus in 1987. As part of the efforts of the U.S. Census Bureau to provide policy makers and other interested parties with the most complete and accurate information possible, we recently completed a review of the methodology and data used to construct trade statistics in the area of high technology trade. Our findings suggest that the statistics presented by the International Trade Administration, although technically correct, do not provide an accurate picture of international trade in high or advanced technology products because of the level of aggregation used in their construction. The ITA statistics are based on the Department of Commerce's DOC3 definition of high technology industries. The DOC3 definition requires that each product classified in a high tech industry be designated high tech. As a result, many products which would not individually be considered high tech are included in the statistics. After developing a disaggregate, product- based measure of international trade in Advanced Technology Products (ATP), we find that although the trade balance in these products did decline over the 1982-1987 period, the decline is much smaller (about $5 billion) than reported by ITA (approximately $24 billion). This paper discusses the methodology used to define the ATP measure, contrasts it to the DOC3 measure, and provides a comparison of the resulting statistics. After discussing alternative approaches to identifying advanced technology products, Section 2 describes the advanced technologies in the classification. (Appendix A, provides definitions and examples of the products which embody these technologies. In addition, Appendix B, available on request, provides a comprehensive list of Advanced Technology Products by technology grouping.) Having described the ATPs, Section 3 examines annual trade statistics for ATP products, in 1982, 1986, and 1987, and compares these statistics with equivalent ones based on the DOC3 measure. The differences between the two measures over the 1982- 87 period stem from changes in the balance of trade of items included in the DOC3 measure but excluded by the Census ATP measure; i.e. the differences are due to changes in the trade balance of "low tech" products which are produced in "high tech" industries. This finding corroborates a principal argument for construction of the ATP measure, that the weakness of the DOC3 measure of high technology trade is the level of aggregation used in its construction. It also suggests that at the level of individual products the high technology sectors of the economy continue to enjoy a strong comparative advantage and are surprisingly healthy. Nonetheless, some areas of weakness are identified, such as low tech products in high tech industries. (Appendix C, supplements this material by providing a detailed listing of traded products included and excluded from the Advanced Technology definition for each DOC3 high tech commodity grouping. These Tables enable the reader to directly assess the Census classification.)
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