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THE INFLUENCES OF FOREIGN DIRECT INVESTMENTS, INTRAFIRM TRADING, AND CURRENCY UNDERVALUATION ON U.S. FIRM TRADE DISPUTES
January 2014
Working Paper Number:
CES-14-04
We use the case of a puzzling decline in U.S. firm antidumping (AD) filings to explore how firm-level economic heterogeneity within U.S. industries influences political and regulatory responses to changes in the global economy. Firms exhibit heterogeneity both within and across industries regarding foreign direct investment. We propose that firms making vertical, or resource-seeking, investments abroad will be less likely to file AD petitions. Hence, we argue, the increasing vertical FDI of U.S. firms (particularly in countries with undervalued currencies) makes trade disputes far less likely. We use firm level data to examine the universe of U.S. manufacturing firms and find that AD filers generally conduct no intrafirm trade with filed-against countries. Among U.S. MNCs, the number of AD filings is negatively associated with increases in the level of intrafirm trade for large firms. In the context of currency undervaluation, we confirm the existing finding that undervaluation is associated with more AD filings. We also find, however, that high levels of related-party imports from countries with undervalued currencies significantly decrease the numbers of AD filings. Our study highlights the centrality of global production networks in understanding political mobilization over international economic policy. [192]
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AN 'ALGORITHMIC LINKS WITH PROBABILITIES' CONCORDANCE FOR TRADEMARKS: FOR DISAGGREGATED ANALYSIS OF TRADEMARK & ECONOMIC DATA
September 2013
Working Paper Number:
CES-13-49
Trademarks (TMs) shape the competitive landscape of markets for goods and services in all countries through branding and conveying information and quality inherent in products. Yet, researchers are largely unable to conduct rigorous empirical analysis of TMs in the modern economy because TM data and economic activity data are organized differently and cannot be analyzed jointly at the industry or sectoral level. We propose an 'Algorithmic Links with Probabilities' (ALP) approach to match TM data to economic data and enable these data to speak to each other. Specifically, we construct a NICE Class Level concordance that maps TM data into trade and industry categories forward and backward. This concordance allows researchers to analyze differences in TM usage across both economic and TM sectors. In this paper, we apply this ALP concordance for TMs to characterize patterns in TM applications across countries, industries, income levels and more. We also use the concordance to investigate some of the key determinants of international technology transfer by comparing bilateral TM applications and bilateral patent applications. We conclude with a discussion of possible extensions of this work, including deeper indicator-level concordances and further analyses that are possible once TM data are linked with economic activity data.
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REALLOCATION IN THE GREAT RECESSION: CLEANSING OR NOT?
August 2013
Working Paper Number:
CES-13-42
The high pace of output and input reallocation across producers is pervasive in the U.S. economy. Evidence shows this high pace of reallocation is closely linked to productivity. Resources are shifted away from low productivity producers towards high productivity producers. While these patterns hold on average, the extent to which the reallocation dynamics in recessions are 'cleansing' is an open question. That is, are recessions periods of increased reallocation that move resources away from lower productivity activities towards higher productivity uses? It could be recessions are times when the opportunity cost of time and resources are low implying recessions will be times of accelerated productivity enhancing reallocation. Prior research suggests the recession in the early 1980s is consistent with an accelerated pace of productivity enhancing reallocation. Alternative hypotheses highlight the potential distortions to reallocation dynamics in recessions. Such distortions might arise from many factors including, for example, distortions to credit markets. We find that in post-1980 recessions prior to the Great Recession, downturns are periods of accelerated reallocation that is even more productivity enhancing than in normal times. In the Great Recession, we find the intensity of reallocation fell rather than rose (due to the especially sharp decline in job creation) and the reallocation that did occur was less productivity enhancing than in prior recessions.
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IMPORTING, EXPORTING AND FIRM-LEVEL EMPLOYMENT VOLATILITY
June 2013
Working Paper Number:
CES-13-31
In this paper, we use detailed trade and transactions data for the U.S. manufacturing sector to empirically analyze the direction and magnitude of the association between firm-level exposure to trade and the volatility of employment growth. We find that, relative to purely domestic firms, firms that only export and firms that both export and import are less volatile, whereas firms that only import are more volatile. The positive relationship between importing and volatility is driven mainly by firms that switch in and out of importing. We also document a significant degree of heterogeneity across trading firms in terms of the duration of time and intensity with which firms trade, the number and type of products they trade and the number and characteristics of their trading partners. We find these factors to play an important role in explaining the differential impact of trading on employment volatility experienced by these firms.
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INNOVATION, REALLOCATION AND GROWTH
April 2013
Working Paper Number:
CES-13-23
We build a model of firm-level innovation, productivity growth and reallocation featuring endogenous entry and exit. A key feature is the selection between high- and low-type firms, which differ in terms of their innovative capacity. We estimate the parameters of the model using detailed US Census micro data on firm-level output, R&D and patenting. The model provides a good fit to the dynamics of firm entry and exit, output and R&D, and its implied elasticities are in the ballpark of a range of micro estimates. We find industrial policy subsidizing either the R&D or the continued operation of incumbents reduces growth and welfare. For example, a subsidy to incumbent R&D equivalent to 53 of GDP reduces welfare by about 1.53 because it deters entry of new high-type firms. On the contrary, substantial improvements (of the order of 53 improvement in welfare) are possible if the continued operation of incumbents is taxed while at the same time R&D by incumbents and new entrants is subsidized. This is because of a strong selection effect: R&D resources (skilled labor) are inefficiently used by low-type incumbent firms. Subsidies to incumbents encourage the survival and expansion of these firms at the expense of potential high-type entrants. We show that optimal policy encourages the exit of low-type firms and supports R&D by high-type incumbents and entry.
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Measuring The Impact Of The Toxics Release Inventory: Evidence From Manufacturing Plant Births
March 2013
Working Paper Number:
CES-13-07
The Toxics Release Inventory was the first major initiative to take a disclosurebased approach to environmental regulation and has served as the model for several other disclosure-based environmental policies. Yet the magnitude of its direct impacts on industrial manufacturing outcomes has not been established. I use Census Bureau micro-data to estimate the impacts of the Toxics Release Inventory on the opening of new manufacturing plants. I find that on average, counties that were found to be among the dirtiest in the country, in terms of toxic emissions, experienced a decrease in 'dirty' plant births and an even larger increase in 'clean' plant births. Furthermore, the magnitude of this shift is closely related to per capita income in the affected coun- ties - the effect is strongest in high-income communities and is reversed in low-income communities. I discuss the implications for information-based environmental policies.
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Reallocation and Technology: Evidence From The U.S. Steel Industry
March 2013
Working Paper Number:
CES-13-06
We measure the impact of a drastic new technology for producing steel -- the minimill -- on the aggregate productivity of U.S. steel producers, using unique plant-level data between 1963 and 2002. We find that the sharp increase in the industry's productivity is linked to this new technology, and operates through two distinct mechanisms. First, minimills displaced the older technology, called vertically integrated production, and this reallocation of output was responsible for a third of the increase in the industry's productivity. Second, increased competition, due to the expansion of minimills, drove a substantial reallocation process within the group of vertically integrated producers, driving a resurgence in their productivity, and consequently of the industry's productivity as a whole.
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Technology and Production Fragmentation: Domestic versus Foreign Sourcing
January 2013
Working Paper Number:
CES-13-35R
This paper provides direct empirical evidence on the relationship between technology and firms' global sourcing strategies. Using new data on U.S. firms' decisions to contract for manufacturing services from domestic or foreign suppliers, I show that a firm's adoption of communication technology between 2002 to 2007 is associated with a 3.1 point increase in its probability of fragmentation. The effect of firm technology also differs significantly across industries; in 2007, it is 20 percent higher, relative to the mean, in industries with production specifications that are easier to codify in an electronic format. These patterns suggest that technology lowers coordination costs, though its effect is disproportionately higher for domestic rather than foreign sourcing. The larger impact on domestic fragmentation highlights its importance as an alternative to offshoring, and can be explained by complementarities between technology and worker skill. High technology firms and industries are more likely to source from high human capital countries, and the differential impact of technology across industries is strongly increasing in country human capital.
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The United States Labor Market: Status Quo or A New Normal?
September 2012
Working Paper Number:
CES-12-28
The recession of 2007-09 witnessed high rates of unemployment that have been slow to recede. This has led many to conclude that structural changes have occurred in the labor market and that the economy will not return to the low rates of unemployment that prevailed in the recent past. Is this true? The question is important because central banks may be able to reduce unemployment that is cyclic in nature, but not that which is structural. An analysis of labor market data suggests that there are no structural changes that can explain movements in unemployment rates over recent years. Neither industrial nor demographic shifts nor a mismatch of skills with job vacancies is behind the increased rates of unemployment. Although mismatch increased during the recession, it retreated at the same rate. The patterns observed are consistent with unemployment being caused by cyclic phenomena that are more pronounced during the current recession than in prior recessions.
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The Empirics of Firm Heterogeneity and International Trade
September 2012
Working Paper Number:
CES-12-18
This paper reviews the empirical evidence on firm heterogeneity in international trade. A first wave of empirical findings from micro data on plants and firms proposed challenges for existing models of international trade and inspired the development of new theories emphasizing firm heterogeneity. Subsequent empirical research has examined additional predictions of these theories and explored other dimensions of the data not originally captured by them. These other dimensions include multi-product firms, offshoring, intra-firm trade and firm export market dynamics.
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