Papers Containing Tag(s): 'University of Chicago'
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Viewing papers 41 through 50 of 82
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Working PaperModeling Endogenous Mobility in Wage Determiniation
June 2015
Working Paper Number:
CES-15-18
We evaluate the bias from endogenous job mobility in fixed-effects estimates of worker- and firm-specific earnings heterogeneity using longitudinally linked employer-employee data from the LEHD infrastructure file system of the U.S. Census Bureau. First, we propose two new residual diagnostic tests of the assumption that mobility is exogenous to unmodeled determinants of earnings. Both tests reject exogenous mobility. We relax the exogenous mobility assumptions by modeling the evolution of the matched data as an evolving bipartite graph using a Bayesian latent class framework. Our results suggest that endogenous mobility biases estimated firm effects toward zero. To assess validity, we match our estimates of the wage components to out-of-sample estimates of revenue per worker. The corrected estimates attribute much more of the variation in revenue per worker to variation in match quality and worker quality than the uncorrected estimates.View Full Paper PDF
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Working PaperIdentifying Foreign Suppliers in U.S. Merchandise Import Transactions
April 2015
Working Paper Number:
CES-15-11
The availability of international trade transactions data capturing individual relationships between buyers and suppliers permits the answering of numerous new questions governing the economic activity of traders. In this paper, we explore the reliability of two-sided firm trade transactions data sourced from the United States by comparing the number of foreign suppliers from U.S. merchandise import transaction data to origin-country data. We find that the statistic derived from the origin-country data, on average, tends to be 20 percent lower than using the raw U.S. data. Guided by this finding, we propose and implement a set of methods that are capable of aligning the counts more closely from these two different data sources. Overall, our analysis presents broad support for the use of U.S. merchandise import transactions data to study buyer-supplier relationships in international trade.View Full Paper PDF
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Working PaperEmployer-Sim Microsimulation Model: Model Development and Application to Estimation of Tax Subsidies to Health Insurance
December 2014
Working Paper Number:
CES-14-46
Employment-related health coverage is the predominant form of health insurance in the nonelderly, US population. Developing sound policies regarding the tax treatment of employer-sponsored insurance requires detailed information on the insurance benefits offered by employers as well as detailed information on the characteristics of employees and their familes. Unfortunately, no nationally representative data set contains all of the necessary elements. This paper describes the development of the Employer-Sim model which models tax-based health policies by using data on workers from the Medical Expenditure Panel Survey Household Component (MEPS HC) to form synthetic workforces for each establishment in the Medical Expenditure Panel Survey Insurance Component (MEPS IC). This paper describes the application of Employer-Sim to estimating tax subsidies to employer-sponsored health insurance and presents estimates of the cost and indcidence of the subsidy for 2008. The paper concludes by discussing other potential applications of the Employer-Sim model.View Full Paper PDF
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Working PaperBuyer-Seller Relationships in International Trade: Do Your Neighbors Matter?
October 2014
Working Paper Number:
CES-14-44
Using confidential U.S. customs data on trade transactions between U.S. importers and Bangladeshi exporters between 2002 and 2009, and information on the geographic location of Bangladeshi exporters, we show that the presence of neighboring exporters that previously transacted with a U.S. importer is associated with a greater likelihood of matching with the same U.S. importer for the first time. This suggests a role for business networks among trading firms in generating exporter-importer matches. Our research design also allows us to isolate potential gains from neighborhood exporter presence that are partner-specific, from overall gains previously documented in the literature.View Full Paper PDF
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Working PaperLEHD Infrastructure files in the Census RDC - Overview
June 2014
Working Paper Number:
CES-14-26
The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, maintains a set of infrastructure files using administrative data provided by state agencies, enhanced with information from other administrative data sources, demographic and economic (business) surveys and censuses. The LEHD Infrastructure Files provide a detailed and comprehensive picture of workers, employers, and their interaction in the U.S. economy. This document describes the structure and content of the 2011 Snapshot of the LEHD Infrastructure files as they are made available in the Census Bureaus secure and restricted-access Research Data Center network. The document attempts to provide a comprehensive description of all researcher-accessible files, of their creation, and of any modifcations made to the files to facilitate researcher access.View Full Paper PDF
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Working PaperA METHOD OF CORRECTING FOR MISREPORTING APPLIED TO THE FOOD STAMP PROGRAM
May 2013
Working Paper Number:
CES-13-28
Survey misreporting is known to be pervasive and bias common statistical analyses. In this paper, I first use administrative data on SNAP receipt and amounts linked to American Community Survey data from New York State to show that survey data can misrepresent the program in important ways. For example, more than 1.4 billion dollars received are not reported in New York State alone. 46 percent of dollars received by house- holds with annual income above the poverty line are not reported in the survey data, while only 19 percent are missing below the poverty line. Standard corrections for measurement error cannot remove these biases. I then develop a method to obtain consistent estimates by combining parameter estimates from the linked data with publicly available data. This conditional density method recovers the correct estimates using public use data only, which solves the problem that access to linked administrative data is usually restricted. I examine the degree to which this approach can be used to extrapolate across time and geography, in order to solve the problem that validation data is often based on a convenience sample. I present evidence from within New York State that the extent of heterogeneity is small enough to make extrapolation work well across both time and geography. Extrapolation to the entire U.S. yields substantive differences to survey data and reduces deviations from official aggregates by a factor of 4 to 9 compared to survey aggregates.View Full Paper PDF
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Working PaperMISCLASSIFICATION IN BINARY CHOICE MODELS
May 2013
Working Paper Number:
CES-13-27
We derive the asymptotic bias from misclassification of the dependent variable in binary choice models. Measurement error is necessarily non-classical in this case, which leads to bias in linear and non-linear models even if only the dependent variable is mismeasured. A Monte Carlo study and an application to food stamp receipt show that the bias formulas are useful to analyze the sensitivity of substantive conclusions, to interpret biased coefficients and imply features of the estimates that are robust to misclassification. Using administrative records linked to survey data as validation data, we examine estimators that are consistent under misclassification. They can improve estimates if their assumptions hold, but can aggravate the problem if the assumptions are invalid. The estimators differ in their robustness to such violations, which can be improved by incorporating additional information. We propose tests for the presence and nature of misclassification that can help to choose an estimator.View Full Paper PDF
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Working PaperINTERNAL LABOR MARKETS AND INVESTMENT IN CONGLOMERATES
May 2013
Working Paper Number:
CES-13-26
The literature on conglomerates has focused on the misallocation of investments as the cause of the conglomerate discount. I study frictions in the internal labor market as a possible cause of misallocation of investments. Using detailed plant-level data, I document wage convergence in conglomerates: workersin low-wage industries collect higher-than-industry wages when the diversified rm is also present in high-wage industries (by 5.2%). I con rm this effect by exploiting a quasi-experiment involving the implementation of the NAFTA agreement that exogenously increases worker wages of exporting plants. I track the evolution of wages in non-exporting plants in diversi ed rms that also own exporting plants and nd a signi cant increase in wages of these plants relative to una liated non-exporting plants after the event. This pattern of wage convergence affects investments. Plants where workers collect higher-than-industry wages increase the capital-labor ratio in response to their higher labor cost -- and this response to higher wages is associated with higher investment in some divisions.View Full Paper PDF
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Working PaperINTRA-FIRM TRADE AND PRODUCT CONTRACTIBILITY
March 2013
Working Paper Number:
CES-13-12
This paper examines the determinants of intra-firm trade in U.S. imports using detailed country-product data. We create a new measure of product contractibility based on the degree of intermediation in international trade for the product. We find important roles for the interaction of country and product characteristics in determining intra-firm trade shares. Intra- firm trade is high for products with low levels of contractibility sourced from countries with weak governance, for skill-intensive products from skill-scarce countries, and for capital-intensive products from capital-abundant countries.View Full Paper PDF
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Working PaperManagement in America
January 2013
Working Paper Number:
CES-13-01
The Census Bureau recently conducted a survey of management practices in over 30,000 plants across the US, the first large-scale survey of management in America. Analyzing these data reveals several striking results. First, more structured management practices are tightly linked to better performance: establishments adopting more structured practices for performance monitoring, target setting and incentives enjoy greater productivity and profitability, higher rates of innovation and faster employment growth. Second, there is a substantial dispersion of management practices across the establishments. We find that 18% of establishments have adopted at least 75% of these more structured management practices, while 27% of establishments adopted less than 50% of these. Third, more structured management practices are more likely to be found in establishments that export, who are larger (or are part of bigger firms), and have more educated employees. Establishments in the South and Midwest have more structured practices on average than those in the Northeast and West. Finally, we find adoption of structured management practices has increased between 2005 and 2010 for surviving establishments, particularly for those practices involving data collection and analysis.View Full Paper PDF
