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Research @ Census

Our Researchers

Just Launched and Growing: "Our Researchers"

Our researchers produce innovations that keep our economic and social statistics efficient and relevant. Census researchers engage in challenging and rewarding work in a wide variety of fields. Researchers present their findings in working papers, publications, and reports, and in contributions at professional meetings.

Meet our researchers and view their publications.

  • "Our Researchers", a new Research @ Census feature, is a work in process
  • If you do not find the researchers or publications you seek, keep checking back
  • We will continue to add both research profiles and publications
Our Researchers

Latest Publications

  • Klee, Mark A., Rebecca L. Chenevert, and Kelly R. Wilkin. 2019. "Revisiting the shape of earnings nonresponse." Off Site Economics Letters, 184 (November 2019). DOI:10.1016/j.econlet.2019.108663 Off Site.
    • Previous research shows a “U-shaped” relationship between earnings and survey earnings nonresponse. We demonstrate that this pattern depends upon the treatment of individuals who worked according to tax data but lack work in surveys. Including these individuals reveals a wave of earnings nonresponse that is increasing in the tails and decreasing for middle earnings quantiles. We illustrate that individuals with positive earnings in tax data yet survey reports of nonemployment lie disproportionately at the bottom of the earnings distribution, bending down the left tail of the traditional “U-shaped” earnings nonresponse pattern. The reporting behavior of survey nonworkers can have important implications for evaluating inequality estimates based on survey data.
  • Bloom, Nicholas, Erik Brynjolfsson, Lucia Foster, Ron Jarmin, Megha Patnaik, Itay Saporta-Eksten, and John Van Reenen. 2019. "What Drives Diffferences in Management Practices?" Off Site American Economic Review, 1648-1683. DOI:10.1257/aer.20170491 Off Site.
    • Partnering with the US Census Bureau, we implement a new survey of "structured" management practices in two waves of about 35,000 manufacturing plants each in 2010 and 2015. We find enormous dispersion of management practices across plants, with 40 percent of this variation across plants within the same firm. Management practices account for more than 20 percent of the variation in productivity, a similar, or greater, percentage as that accounted for by R&D, ICT, or human capital. We find evidence of two key drivers to improve management. The business environment, as measured by right-to-work laws, boosts incentive practices. Learning spillovers, as measured by the arrival of "Million Dollar Plants" in the county, increases the management scores of incumbents.
  • Dinlersoz, Emin, Henry Hyatt, and Hubert Piotr Janicki. 2019. "Who Works for Whom? Worker Sorting in a Model of Entrepreneurship with Heterogeneous Labor Markets." PDF Review of Economic Dynamics, 34(1): 244-266.
    • Compared with mature firms, young firms, most of which represent entrepreneurial activity, disproportionately hire younger, nonemployed individuals, and provide them with lower earnings. Furthermore, in recent years the number of young firms has been declining, along with their employment share, employee size, and worker earnings. To account for these facts, this paper introduces heterogeneous labor markets with search frictions to a dynamic model of entrepreneurship. Individuals differ in productivity and wealth. They can choose not to work, become entrepreneurs, or work in one of two sectors: a corporate versus an entrepreneurial sector. The sectoral differences in production technology and labor market frictions lead to sector-specific wages and worker sorting. Individuals with lower assets tend to take lowerpaying jobs in the entrepreneurial sector. Empirical analysis indicates that this type of sorting is consistent with the average net worth of workers in young versus mature firms in the data. The model is used to explore potential mechanisms behind the recent decline in entrepreneurship in the U.S.
  • Luque, Adela, Renuka Bhaskar, James Noon, Kevin Rinz, and Victoria Udalova. 2019. "Nonemployer Statistics by Demographics (NES-D): Using Administrative and Census Records Data in Business Statistics." Off Site Working Papers 19-01, Center for Economic Studies, U.S. Census Bureau.
  • Dreisigmeyer, David. 2019. "Whitney’s Theorem, Triangular Sets, and Probabilistic Descent on Manifolds." Journal of Optimization Theory and Applications, 182: 935. DOI:https://doi.org/10.1007/s10957-019-01508-9 Off Site.
    • We examine doing probabilistic descent over manifolds implicitly defined by a set of polynomials with rational coefficients. The system of polynomials is assumed to be triangularized. An application of Whitney’s embedding theorem allows us to work in a reduced-dimensional embedding space. A numerical continuation method applied to the reduced-dimensional embedded manifold is used to drive the procedure.
  • Dreisigmeyer, David. 2019. " A Quasi-isometric Embedding Algorithm ." Pattern Recognition and Image Analysis, 29: 280. DOI:https://doi.org/10.1134/S105466181902007X Off Site.
    • The Whitney embedding theorem gives an upper bound on the smallest embedding dimension of a manifold. If a data set lies on a manifold, a random projection into this reduced dimension will retain the manifold structure. Here we present an algorithm to find a projection that distorts the data as little as possible.
  • Foster, Lucia, Cheryl Grim, and Nikolas Zolas. 2019. "A Portrait of Firms that Invest in R&D." Off Site Economics of Innovation and New Technology, DOI:10.1080/10438599.2019.1595366 Off Site.
    • This paper combines micro-level cross-sectional data from the Survey of Industrial Research and Development (SIRD) and the Business Research & Development and Innovation Survey (BRDIS) with the Longitudinal Business Database (LBD) to characterize U.S. firms that invest in research and development (R&D). The result is a firm-level panel data set from 1992 to 2013 that tracks firms as they enter and exit the R&D surveys. Using R&D expenditures to proxy R&D performance, we find that the majority of R&D is performed by large manufacturing firms that export, but the composition of R&D performing firms has gradually shifted more towards smaller nonmanufacturing firms. We find a high degree of persistence in R&D investment with previous R&D experience being a significant determinant of current R&D intensity, even after controlling for individual firm effects. We also uncover differences in observable firm characteristics between manufacturing and nonmanufacturing, as well as small and large, R&D performing firms.
  • Sandler, Danielle H. and Lisa Schulkind. 2019. "The Timing of Teenage Births and the Signaling Value of a High School Degree." Off Site Demography, 56: 345–365. DOI:10.1007/s13524-018-0748-6 Off Site.
    • We examine the long-term outcomes for a population of teenage mothers who give birth to their children around the end of high school. We compare the mothers whose high school education was interrupted by childbirth (because the child was born before her expected graduation date) with mothers who did not experience the same disruption to their education. We find that mothers who gave birth during the school year are 5.4 percentage points less likely to complete their high school education, are less likely to be married, and have more children than their counterparts who gave birth just a few months later. The wages for these two sets of teenage mothers are not statistically different, but with a lower likelihood of marriage and more children, the households of the treated mothers are more likely to fall below the poverty threshold. Although differences in educational attainment have narrowed over time, the differences in labor market outcomes and family structure have remained stable.
  • Irimata, Kyle, Jennifer Broatch, and Jeffrey R. Wilson. 2019. "Partitioned GMM Logistic Regression Models for Longitudinal Data." Off Site Statistics in Medicine, DOI:10.1002/sim.8099 Off Site.
    • Correlation is inherent in longitudinal studies due to the repeated measurements on subjects, as well as due to time‐dependent covariates in the study. In the National Longitudinal Study of Adolescent to Adult Health (Add Health), data were repeatedly collected on children in grades 7‐12 across four waves. Thus, observations obtained on the same adolescent were correlated, while predictors were correlated with current and future outcomes such as obesity status, among other health issues. Previous methods, such as the generalized method of moments (GMM) approach have been proposed to estimate regression coefficients for time‐dependent covariates. However, these approaches combined all valid moment conditions to produce an averaged parameter estimate for each covariate and thus assumed that the effect of each covariate on the response was constant across time. This assumption is not necessarily optimal in applications such as Add Health or health‐related data. Thus, we depart from this assumption and instead use the Partitioned GMM approach to estimate multiple coefficients for the data based on different time periods. These extra regression coefficients are obtained using a partitioning of the moment conditions pertaining to each respective relationship. This approach offers a deeper understanding and appreciation into the effect of each covariate on the response. We conduct simulation studies, as well as analyses of obesity in Add Health, rehospitalization in Medicare data, and depression scores in a clinical study. The Partitioned GMM methods exhibit benefits over previously proposed models with improved insight into the nonconstant relationships realized when analyzing longitudinal data.
  • Klee, Mark A., Maury Gittleman, and Morris M. Kleiner. 2018. "Analyzing the Labor Market Outcomes of Occupational Licensing." Off Site Industrial Relations, 57(1): 57-100. DOI:10.1111/irel.12200 Off Site.
    • Recent assessments of occupational licensing have shown varying effects of the institution on labor‐market outcomes. This study revisits the relationship between occupational licensing and labor‐market outcomes by analyzing a new topical module to the Survey of Income and Program Participation. Relative to previously available data, the topical module offers more detailed information on occupational licensing attainment, with larger sample sizes and access to richer sets of person‐level characteristics. We find that those with a license earn higher pay, are more likely to be employed, and have a higher probability of employer‐sponsored health insurance offers.
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Source: U.S. Census Bureau | Research and Methodology Directorate | census.research@census.gov | Last Revised: Wednesday, 02-Jul-2014 15:03:16 EDT