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<title>Labor Dynamics Institute</title>
<copyright>Copyright (c) 2013 Cornell University ILR School All rights reserved.</copyright>
<link>http://digitalcommons.ilr.cornell.edu/ldi</link>
<description>Recent documents in Labor Dynamics Institute</description>
<language>en-us</language>
<lastBuildDate>Fri, 17 May 2013 09:50:38 PDT</lastBuildDate>
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<title>Presentation: Improved Research Access to Census Bureau Linked Administrative Data via Public-use Products</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/13</link>
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<pubDate>Mon, 06 May 2013 10:06:59 PDT</pubDate>
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	<p>Professor John M. Abowd, Director of the Labor Dynamics Institute, presented on "Improved Research Access to Census Bureau Linked Administrative Data via Public-use Products" at the 18th Annual Meetings of the Society of Labor Economists in Boston, MA, on Friday, May 3, 2013.</p>

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<author>John Abowd et al.</author>


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<title>Presentation: Assessing the Natural Rate of Unemployment</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/12</link>
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<pubDate>Tue, 16 Apr 2013 09:37:31 PDT</pubDate>
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<author>John Abowd et al.</author>


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<title>Replicating the Synthetic LBD with German Establishment Data</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/11</link>
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<pubDate>Mon, 15 Apr 2013 06:54:32 PDT</pubDate>
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	<p>One major criticism against the use of synthetic data has been that the efforts necessary to generate useful synthetic data are so intense that many statistical agencies cannot afford them. However, we argue in this paper that the field is still evolving and many lessons that have been learned in the early years of synthetic data generation can now be used in the development of new synthetic data products, considerably reducing the required investments. We evaluate whether synthetic data algorithms that have been developed in the U.S. to generate a synthetic version of the Longitudinal Business Database (LBD) can easily be transferred to generate a similar data product for other countries. We construct a German data product with information comparable to the LBD - the German Longitudinal Business Database (GLBD) - that is generated from different administrative sources at the Institute for Employment Research, Germany. In a second stage, the algorithms developed for the synthesis of the LBD will be applied to the GLBD. Extensive evaluations will illustrate whether the algorithms provide useful synthetic data without further adjustment. The ultimate goal of the project is to provide access to multiple synthetic datasets similar to the SynLBD at Cornell to enable comparative studies between countries. The Synthetic GLBD is a first step towards that goal.</p>

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<author>Lars Vilhuber et al.</author>


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<title>Presentation: Revisiting the Economics of Privacy: Population Statistics and Privacy as Public Goods</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/10</link>
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<pubDate>Tue, 22 Jan 2013 08:44:33 PST</pubDate>
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	<p>Anonymization and data quality are intimately linked. Although this link has been properly acknowledged in the Computer Science and Statistical Disclosure Limitation literatures, economics offers a framework for formalizing the linkage and analyzing optimal decisions and equilibrium outcomes.</p>

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<author>John Abowd</author>


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<title>Teaching New Markets Old Tricks: The Effects of Subsidized Investment on Low-Income Neighborhoods</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/9</link>
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<pubDate>Wed, 13 Jun 2012 11:08:20 PDT</pubDate>
<description>
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	<p>This paper examines the effects of investment subsidized by the federal government’s New Markets Tax Credit (NMTC) program, which provides tax incentives to encourage private investment in low-income neighborhoods. I identify the impacts of the program by taking advantage of a discontinuity in the rule determining the eligibility of census tracts for NMTC-subsidized investment. Using this discontinuity as a source of quasi-experimental variation in commercial development across tracts, I find that subsidized investment has modest positive effects on neighborhood conditions in low-income communities. Though spillovers appear to be small and crowd out incomplete, the results suggest that some of the observed impacts on neighborhoods are attributable to changes in the composition of residents as opposed to improvements in the welfare of existing residents.</p>

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<author>Matthew Freedman</author>


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<title>Presentation: Endogenous Mobility</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/8</link>
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<pubDate>Tue, 29 May 2012 06:51:30 PDT</pubDate>
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<author>John Abowd et al.</author>


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<title>Presentation: Education, flows and the Great Recession in the United States</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/7</link>
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<pubDate>Fri, 25 May 2012 12:46:07 PDT</pubDate>
<description>
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	<p>Using gross flows of workers into and out of employment, we investigate the composition of flows in non-recessionary periods as well as in the Great Recession of 2008-2009. In particular, we use gross flows at highly detailed geographic and demographic levels to assess whether particular demographic groups are less affected by the sharp changes in gross flows during recessions, and whether such effects are robust across detailed geographic areas.</p>
<p>Following Abowd and Vilhuber (2011), we develop a internally consistent measure of national gross worker and job flows with demographic detail. In particular, we expand on the earlier attempt by providing the first estimate of consistent worker and job flows by age and educational attainment. We provide a comparison to existing job and worker flows derived from several independent sources (CPS, BED, JOLTS). We then identify particular patterns in the national data we develop that highlight certain differential effects. Finally, we assess whether such patterns, observed at the national level, are present in all or only a subset of local labor markets.</p>
<p>We find worker reallocation rates nearly three times as large as job reallocation rates. Workers with less than a high-school diploma have a worker reallocation rate that is nearly twice that of workers with a bachelor's degree or higher, whereas there is less discrepancy in job reallocation rates. Finally, while these differences are high, excess reallocation rates for different education groups have converged in the last decade. No such convergence is apparent when disaggregating by age.</p>
<p>The national estimates from the QWI are an important enhancement to existing series because they include demographic and industry detail for both worker and job flow data compiled from the same underlying micro-data that have been integrated at the job and establishment levels by the Longitudinal Employer-Household Dynamics Program at the Census Bureau. The estimates presented herein were compiled exclusively from public-use data series and are available for download.</p>

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<author>John Abowd et al.</author>


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<title>Presentation: A comparison of the contribution of labor reallocation to aggregate productivity growth: Canada and the United States</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/6</link>
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<pubDate>Fri, 25 May 2012 12:46:04 PDT</pubDate>
<description>
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	<p>This paper contributes to the literature by computing the contribution of labor reallocation to productivity growth for the United States and Canada, using several different decomposition specifications, and applying a consistent approach to data from both countries. We compute the Baily, Hulten & Campbell (1992), Griliches & Regev (1995), Foster, Haltiwanger & Krizan (2001), and Baldwin & Gu (2006) decompositions, for both three-year and five-year time frames. We focus on the manufacturing sector for both countries, and assess the robustness of the conclusions to alternate specifications that the data from one or the other country allow us to do.</p>

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<author>Charles Berube et al.</author>


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<title>Dynamically consistent noise infusion and partially synthetic data as confdentiality protection measures for related time-series</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/5</link>
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<pubDate>Fri, 25 May 2012 12:46:00 PDT</pubDate>
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	<p>The Census Bureau's Quarterly Workforce Indicators (QWI) provide detailed quarterly statistics on employment measures such as worker and job ows, tabulated by detailed worker characteristics in various combinations. The data are released for detailed NAICS industries and for several levels of geography, the lowest aggregation of which are counties. OnTheMap, another Census Bureau product, provides a subset of these tabulations at the tract level. Disclosure avoidance methods are required to protect the information about individuals and businesses that contribute to the underlying data. The QWI disclosure avoidance mechanism we describe here relies heavily on the use of noise infusion through a permanent multiplicative noise distortion factor, used for magnitudes, counts, differences and ratios. There is minimal suppression and no complementary suppressions. To our knowledge, the release in 2003 of the QWI was the first large-scale use of noise infusion in any official statistical product. We show that the released statistics are analytically valid along several critical dimensions -- measures are unbiased and time series properties are preserved. We provide an analysis of the degree to which con dentiality is protected. Furthermore, we show how the judicious use of synthetic data, injected into the tabulation process, can completely eliminate suppressions, maintain analytical validity, and increase the protection of the underlying con dential data.</p>

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<author>John Abowd et al.</author>


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<title>Presentation: Data access in North America: Current state and future consequences</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/4</link>
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<pubDate>Fri, 25 May 2012 12:31:43 PDT</pubDate>
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	<p>Presentation at the <em><a href="http://www.dwbproject.org/events/edaf1.html" target="_blank">First DwB European Data Access Forum</a>.</em></p>

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<author>Lars Vilhuber et al.</author>


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<title>Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/3</link>
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<pubDate>Tue, 22 May 2012 07:20:25 PDT</pubDate>
<description>
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	<p>We consider a particular maximum likelihood estimator (MLE) and a computationally-intensive Bayesian method for differentially private estimation of the linear mixed-effects model (LMM) with normal random errors. The LMM is important because it is used in small area estimation and detailed industry tabulations that present significant challenges for confidentiality protection of the underlying data. The differentially private MLE performs well compared to the regular MLE, and deteriorates as the protection increases for a problem in which the small-area variation is at the county level. More dimensions of random effects are needed to adequately represent the time- dimension of the data, and for these cases the differentially private MLE cannot be computed. The direct Bayesian approach for the same model uses an informative, but reasonably diffuse, prior to compute the posterior predictive distribution for the random effects. The differential privacy of this approach is estimated by direct computation of the relevant odds ratios after deleting influential observations according to various criteria.</p>

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<author>John M. Abowd et al.</author>


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<title>Presentation: Did the Housing Price Bubble Clobber Local Labor Market Job and Worker Flows When It Burst?</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/2</link>
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<pubDate>Wed, 22 Feb 2012 07:49:45 PST</pubDate>
<description>
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	<p>We integrate local labor market data on worker flows, job flows, employment levels, and earnings with MSA-level data on housing prices and local area unemployment, to study the local labor market dynamics associated with the U.S. housing price bubble of the late 2000s. We proceed to study the magnitude and timing of the relation between the changes in local housing prices and local worker and job flows, and local labor market earnings.In addition to the unique contribution of using both local labor and housing market data, the paper also considers the contributions of the aggregate movements in the worker and job flows to the heterogeneous local labor market outcomes.</p>

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<author>John M. Abowd et al.</author>


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<title>Testimony of John M. Abowd Before the House Committee on Energy and Commerce, Subcommitte on Commerce, Manufacturing and Trade, United States House of Representatives</title>
<link>http://digitalcommons.ilr.cornell.edu/ldi/1</link>
<guid isPermaLink="true">http://digitalcommons.ilr.cornell.edu/ldi/1</guid>
<pubDate>Wed, 22 Feb 2012 06:40:57 PST</pubDate>
<description>
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	<p>We focus attention on gross flows in the labor market and their role in economic reallocation. Economists distinguish between movements of individuals (gross worker flows) and those associated with businesses (gross job flows). The gross worker flows are accessions (hiring and recalls) and separations (quits, layoffs, retirements, and firings). The gross job flows are creations (increases in the employment of a given business establishment) and destructions (decreases in employment of a given business establishments). In our testimony, we discuss the different flows and the regional variation therein over the last recession.</p>

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<author>John M. Abowd et al.</author>


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