Title: NCRN Meeting Spring 2015: Revisiting the Economics of Privacy: Population Statistics and Confidentiality Protection as Public Goods
Authors: Abowd, John M.; Schmutte, Ian
Description: Presentation at the NCRN Meeting Spring 2015
Title: NCRN Meeting Spring 2015: Can Government-Academic Partnerships Help Secure the Future of the Federal Statistical System? Examples from the NSF-Census Research Network
Authors: Abowd, John M.; Fienberg, Stephen E.
Description: May 8, 2015 CNSTAT Public Seminar
Modeling Endogenous Mobility in Wage Determination
Abowd, John M.; McKinney, Kevin L.; Schmutte, Ian M.
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
A New Method for Protecting Interrelated Time Series with Bayesian Prior Distributions and Synthetic Data
Schneider, Matthew J.; Abowd, John M.
Organizations disseminate statistical summaries of administrative data via the Web for unrestricted
public use. They balance the trade-off between confidentiality protection and inference quality. Recent developments
in disclosure avoidance techniques include the incorporation of synthetic data, which capture the essential features
Economic Analysis and Statistical Disclosure Limitation
Abowd, John M.; Schmutte, Ian M.
Sorting Between and Within Industries: A Testable Model of Assortative Matching
Abowd, John M.; Kramarz, Francis; Perez-Duarte, Sebastien; Schmutte, Ian M.
We test Shimer's (2005) theory of the sorting of workers between and within industrial sectors based on
directed search with coordination frictions, deliberately maintaining its static general equilibrium framework.
We fit the model to sector-specific wage, vacancy and output data, including publicly-available statistics that
Sorting Between and Within Industries: A Testable Model of Assortative Matching
Abowd, John M.; Kramarz, Francis; Perez-Duarte, Sebastien; Schmutte, Ian M.
We test Shimer's (2005) theory of the sorting of workers between and within industrial sectors based on
directed search with coordination frictions, deliberately maintaining its static general equilibrium framework.
We fit the model to sector-specific wage, vacancy and output data, including publicly-available statistics that
Boosting Models for Edit, Imputation and Prediction of Multiple Response Outcomes
Li, Ping; Abowd, John M.
In this paper, we propose a statistical framework that generalizes the classical logit model to predict multiple responses (i.e., multi-label classification). We develop an effective implementation based on boosting and trees. For the NCRN seminar we present an application to editing and imputation in the multiple response race and ethnicity coding on the American Community Survey.
Improving User Access to Metadata for Public and Restricted Use US Federal Statistical Files
Block, William C.; Williams, Jeremy; Vilhuber, Lars; Lagoze, Carl; Brown, Warren; Abowd, John M.
Presentation at NADDI 2013
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