By exploiting establishment-level data for U.S. manufacturing, this paper sheds new light on the source of the changes in the structure of production, wages, and employment that have occurred over the last several decades. Based on recent theoretical work by Caselli (1999) and Kremer and Maskin (1996), we focus on empirically investigating the following two hypotheses. The first hypothesis is that the channel through which skill biased technical change works through the economy is via changes in the dispersion in wages and productivity across establishments. The second is that the increased dispersion in wages and productivity across establishments is linked to differential rates of technological adoption across establishments. We find empirical support for these hypotheses. Our main findings are that (1) the between plant component of wage dispersion is an important and growing part of total wage dispersion, (2) much of the between plant increase in dispersion is within industries, (3) the between plant measures of wage and productivity dispersion have indreased substantially over the last few decades, (4) industries with large changes in between plant wage dispersion also exhibit large changes n between plant productivity dispersion, (5) a substantial fraction of the rising dispersion in wages and productivity is accounted for by increasing wage and productivity differentials across high and low computer investment per worker plants and high and low capital intensity plants, and (6) Changes in dispersion accounted for by such observable characteristics yield predicted industry level changes in wage and productivity dispersion that are highly correlated.
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Identifying Individual and Group Effects in the Presence of Sorting: A Neighborhood Effects Application
January 2007
Working Paper Number:
CES-07-03
Researchers have long recognized that the non-random sorting of individuals into groups generates correlation between individual and group attributes that is likely to bias naive estimates of both individual and group effects. This paper proposes a non-parametric strategy for identifying these effects in a model that allows for both individual and group unobservables, applying this strategy to the estimation of neighborhood effects on labor market outcomes. The first part of this strategy is guided by a robust feature of the equilibrium in the canonical vertical sorting model of Epple and Platt (1998), that there is a monotonic relationship between neighborhood housing prices and neighborhood quality. This implies that under certain conditions a non-parametric function of neighborhood housing prices serves as a suitable control function for the neighborhood unobservable in the labor market outcome regression. This control function converts the problem to a model with one unobservable so that traditional instrumental variables solutions may be applied. In our application, we instrument for each individual.s observed neighborhood attributes with the average neighborhood attributes of a set of observationally identical individuals. The neighborhood effects model is estimated using confidential microdata from the 1990 Decennial Census for the Boston MSA. The results imply that the direct effects of geographic proximity to jobs, neighborhood poverty rates, and average neighborhood education are substantially larger than the conditional correlations identified using OLS, although the net effect of neighborhood quality on labor market outcomes remains small. These findings are robust across a wide variety of specifications and robustness checks.
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Redistribution in the Current U.S. Social Security System
April 2002
Working Paper Number:
CES-02-09
Because its benefit formula replaces a greater fraction of the lifetime earnings of lower earners than of higher earnings, Social Security is generally thought to be progressive, providing a 'better deal' to low earners in a cohort than to high earners. However, much of the intra-cohort redistribution in the U.S. Social Security system is related to factors other than lifetime income. Social Security transfers income from people with low life expectancies to people with high life expectancies, from single workers and from married couples with substantial earnings by the secondary earner to married one-earner couples, and from people who work for more than 35 years to those who concentrate their earnings in 35 or fewer years. This paper studies the redistribution accomplished in the retirement portion of the current U.S. Social Security system using a microsimulation model built around a match of the 1990 and 1991 Surveys of Income and Program Participation to Social Security administrative earnings and benefit records. The model simulates the distribution of internal rates of returns, net transfers, and lifetime net tax rates from Social Security that would have been received by members of the 1925 to 1929 birth cohorts if they had lived under current Social Security rules for their entire lives. The paper finds that annual income-related transfers from Social Security are only 5 to 9 percent of Social Security benefits paid, or $19 to $34 billion, at 2001 aggregate benefits levels, when taxes and benefits are discounted at the cohort rate of return of 1.29 percent. At higher discount rates, Social Security appears to be more redistributive by some measures, and less redistributive by others. Because much of the redistribution that occurs through Social Security is not related to income, the range of transfers received at a given level of lifetime income is quite wide. For example, 19 percent of individuals in the top lifetime income quintile receive net transfers that are greater than the average transfer for people in the lowest lifetime income quintile.
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Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data
March 2002
Working Paper Number:
tp-2002-06
In this paper we provide the exact formulas for the direct least squares estimation of statistical models that include both person and firm effects. We also provide an algorithm for determining the estimable functions of the person and firm effects (the identifiable effects). The computational techniques are also directly applicable to any linear two-factor analysis of covariance with two high-dimension non-orthogonal factors. We show that the application of the exact solution does not change the substantive conclusions about the relative importance of person and firm effects in the explanation of log real compensation; however, the correlation between person and firm effects is negative, not weakly positive, in the exact solution. We also provide guidance for using the methods developed in earlier work to obtain an accurate approximation.
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Are Customs Records Consistent Across Countries? Evidence from the U.S. and Colombia
March 2020
Working Paper Number:
CES-20-11
In many countries, official customs records include identifying information on the exporting and importing firms involved in each shipment. This information allows researchers to study international business networks, offshoring patterns, and the micro-foundations of aggregate trade flows. It also provides the government with a basis for tariff assessments at the border. However, there are no mechanisms in place to ensure that the shipment-level information recorded by the exporting country is consistent with the shipment-level information recorded by the importing country. And to the extent that there are discrepancies, it is not clear how prevalent they are or what form they take. In this paper we explore these issues, both to enhance our understanding of the limitations of customs records, and to inform future discussions of possible revisions in the way they are collected.
Specifically, we match U.S.-bound export shipments that appear in Colombian Customs records (DIAN) with their counterparts in the US Customs records (LFTTD): U.S. import shipments from Colombia. Several patterns emerge. First, differences in the coverage of the two countries customs records lead to significant discrepancies in the official bilateral trade flow statistics of these two countries: the DIAN database records 8 percent fewer transactions than the LFTTD database over the sample period, and the average export shipment size in the DIAN is roughly 4 percent smaller than the corresponding import shipment size in the LFTTD. These discrepancies are not due to difference in minimum shipment sizes and they are not particular to a few sectors, though they are more common among small shipments and they evolve over time.
Second, if we rely exclusively on firms' names and addresses, ignoring other shipment characteristics (value, product code, etc.), we are able to match 85 percent of the value of U.S. imports from Colombia in our LFTTD sample with particular Colombian suppliers in the DIAN. Further, fully 97 percent of the value of Colombian exports to the U.S. can be mapped onto particular importers in the U.S. LFTTD.
Third, however, match rates at the shipment level within buyer-seller pairs are low. That is, while buyers and sellers can be paired up fairly accurately, only 25-30 percent of the individual transactions in the customs records of the two countries can be matched using fuzzy algorithms at reasonable tolerance levels.
Fourth, the manufacturer ID (MANUF_ID) that appears in the LFTTD implies there are roughly twice as many Colombian exporters as actually appear in the DIAN. And similar comments apply to an analogous MANUF_ID variable constructed from importer name and address information in the DIAN. Hence studies that treat each MANUF_ID value as a distinct firm are almost surely overstating the number of foreign firms that engage in trade with the U.S. by a substantial amount.
Finally, we conclude that if countries were to require that exporters report standardized shipment identifiers'either invoice numbers or bill of lading/air waybill numbers'it would be far easier to track individual transactions and to identify international discrepancies in reporting.
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Pollution Havens and the Trade in Toxic Chemicals: Evidence from U.S. Trade Flows
June 2010
Working Paper Number:
CES-10-12
Does increased environmental protection decrease the emission of pollutants or merely displace them? Using newly available trade data, this study examines the flows of a panel of chemicals designated as toxic by the U.S. Environmental Protection Agency's Toxics Release Inventory (TRI). Estimates from a differences-in-differences model indicate a significant increase in net imports when a chemical is listed on TRI, which suggests production offshoring. Furthermore, I find that increased imports due to this 'pollution haven effect' are sourced disproportionately from poorer countries, which are likely to have lower environmental protection standards. At the same time, I observe the bulk of American trade in toxic chemicals occurs with other wealthy countries, which may be attributed to the capital intensity of chemical production.
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Unlocking the Information in Integrated Social Data
May 2002
Working Paper Number:
tp-2002-21
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Age and High-Growth Entrepreneurship
April 2018
Working Paper Number:
carra-2018-03
Many observers, and many investors, believe that young people are especially likely to produce the most successful new firms. We use administrative data at the U.S. Census Bureau to study the ages of founders of growth-oriented start-ups in the past decade. Our primary finding is that successful entrepreneurs are middle-aged, not young. The mean founder age for the 1 in 1,000 fastest growing new ventures is 45.0. The findings are broadly similar when considering high-technology sectors, entrepreneurial hubs, and successful firm exits. Prior experience in the specific industry predicts much greater rates of entrepreneurial success. These findings strongly reject common hypotheses that emphasize youth as a key trait of successful entrepreneurs.
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Decomposing Aggregate Trade Flows: New Evidence from U.S. Traders
September 2012
Working Paper Number:
CES-12-17
Using firm-level data on export transactions, we uncover a rich set of results about the extensive margins of exporting and exporter responses during periods of global downturns. We perform our analysis with respect to firm size, age, ownership status, and sector to emphasize the role of firm heterogeneity. We uncover a larger role for firm entry and exit in changes in annual export flows of single-unit, smaller, and younger firms. Young, small firms perform best during both periods of crises as well as non-crises periods. We also decompose the margins of U.S. imports at the U.S. importer, foreign supplier, and U.S. importer-foreign supplier pair levels. While export flows are closely correlated with global business cycles, import flows more closely approximate U.S. economic cycles. Additionally, both pair and foreign supplier flows are far more volatile than U.S. import flows, that is, U.S. importer-foreign supplier matches experience more churning on average than do either U.S. importers or foreign suppliers.
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The Distributional Effects of an Investment-Based Social Security System
April 2002
Working Paper Number:
CES-02-08
In this paper we study the distributional impact of a change from the existing pay-as-you-go Social Security system to one that combines both pay-as-you-go and investment-based elements. Such a transition can avert the large tax increases that would otherwise be necessary to maintain the level of benefits promised under current law as life expectancy increases. According to the Social Security actuaries (Board of Trustees, 1999), retaining the existing pay-as-you-go system would eventually require raising the current 12.4 percent Social Security payroll tax rate to about 19 percent to maintain the current benefit rules or cutting benefits by more than one-third in order to avoid a tax increase. In contrast, previous research showed that adding an investment-based component with savings equal to two percent of covered earnings to the existing 12.4 percent pay-as-you-go system would be sufficient to maintain the benefits promised under current rules without any increase in tax rates (Feldstein and Samwick 1997, 1998a, 1998b).
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Cross Sectional Variation In Toxic Waste Releases From The U.S. Chemical Industry
August 1994
Working Paper Number:
CES-94-08
This paper measures and examines the 1987 cross sectional variation in toxic releases from the U.S. chemical industry. The analysis is based on a unique plant level data set of over 2,100 plants, combining EPA toxic release data with Census Bureau data on economic activity. The main results are that intra-industry variation in toxic releases are as great as, or greater, than inter-industry variation, and that plant, firm, and regulatory characteristics are important factors in explaining observed variation in toxic releases. Even after controlling for primary product and plant characteristics, there are some firms that generate significantly lower toxic waste due to managerial ability and/or technology differences.
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