The US Census Longitudinal Employer-Household Dynamics Datasets

Manduca, Robert

doi:10.18335/region.v5i3.251

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…Another issue is missing employment categories, including federal, military, and railroad workers (1%-20%). For a description of other sources of publicly available, free-for-download datasets based on linked employer-employee records, which are useful for researchers in labor economics and regional science, a reader is referred to Manduca [48].…”

Section: Discussionmentioning

confidence: 99%

Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN

Antipova

2020

Sustainability

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The paper tests whether low-income workers suffer a greater commuting cost burden compared with a typical commuter within the context of decreasing economic opportunity. The paper adds to the spatial mismatch research by studying the metropolitan area in the U.S. South, which experienced “some of the largest decreases” in job proximity in 2012. Memphis, Tennessee, saw the disproportionately steep declines in the average employment opportunities within a typical commute distance experienced by low-income and minority residents. The paper first delineates low-income neighborhoods across the study area, then identifies commuting patterns within the three-state study area including the greater Memphis, and lastly, it compares average commute lengths by a typical and a low-income commuter, as well as the shares of resident workers with a long commute by earning category. The paper offers insight into the ways in which the changes in spatial location of employment and population within the metropolitan area may impact commuting distance for disadvantaged low-income travelers. We show low-income workers commute statistically significantly shorter distances to their places of work compared with a typical commuter. Our other results find that disadvantaged workers in Shelby County, TN, are disproportionately concentrated in lower-wage industries, such as hospitality and retail service industries, compared to overall workers. Finally, a significantly greater proportion of disadvantaged workers travel long distances of over 50 miles compared with higher-earning workers, indicating the disparity in commuting patterns between a typical resident and a low-income worker.

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Section: Discussionmentioning

confidence: 99%

Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN

Antipova

2020

Sustainability

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“…By classifying programme-served areas at the tract level, using matching of characteristics of BIP census tracts and non-BIP tracts, including using exact matching by state and RUCC type or using county fixed effect, and investigating differences over time in employment growth between these matched tracts, we have controlled 24 Because the LODES data mostly rely on administrative data from unemployment insurance and exclude several categories of people who are included in NETS, the employment numbers in LODES are typically lower. 25 According to Manduca (2018), the LODES data are akin to a complete set of synthetic data due to the anonymity protection methods used for businesses in the LEHD files-for each business, a multiplicative fuzz factor is generated, which distorts the true estimates within certain upper and lower bounds that are kept confidential.…”

Section: Conclusion and Limitationsmentioning

confidence: 99%

Place‐based subsidies and employment growth in rural America: Evidence from the broadband initiatives programme

Rupasingha

Pender

Williams

et al. 2023

Papers in Regional Science

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This paper studies the labour market effects of the Broadband Initiatives Program (BIP), a programme authorized by the American Recovery and Reinvestment Act of 2009 to promote broadband deployment, mainly in rural areas. The BIP is one of the largest USDA broadband programmes implemented to date, providing more than $3.4 billion in grants and loans in FY 2010. We investigate the impacts of BIP investments on employment outcomes in BIP-recipient Census tracts compared to similar tracts outside of BIP project service areas between the inception of the programme in 2010 and 2019. We use a quasi-experimental research design that combines difference-in-difference regression with propensity score matching estimation to identify the causal effect of the BIP investments on employment outcomes. We find that the BIP investments had a positive overall effect on employment growth that increased over time. The subsidized investments had a greater effect on employment in startups than in incumbent businesses, in the goods-producing sector and the information and communications technology sector than other sectors, and a greater effect in micropolitan census tracts than tracts located in metropolitan areas or in small town and remote rural locations.

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“…This problem results in part from anonymization of public-use Longitudinal Employer-Household Dynamics (LEHD) releases from which LODES files are derived. To balance statistical accuracy with nondisclosure of employee–employer relationships, LEHD releases are noise infused such that files with lower structural complexity resemble the unprotected (i.e., restricted-use) files less so than ones with higher complexity 19 – 22 . Additionally, worker counts are suppressed for employers below a threshold number of employees 21 .…”

Section: Technical Validationmentioning

confidence: 99%

Spatial and Temporal Characterization of Activity in Public Space, 2019–2020

et al. 2022

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The data reported here characterize spatial and temporal variation in the ratio of short-to-long-duration visits in public places (i.e., points of interest) in the United States for each week between January 2019 and December 2020. The underlying data on anonymized and aggregated foot traffic to public places is curated by SafeGraph, a geospatial data provider. In this work, we report the estimated number and duration of “short” (i.e., <4 hours) and “long” (i.e., >4 hours) visits to public places at the US census block group level. Long visits are shown to be a good proxy for workers based on formal economic data. We propose that short visits are more likely to represent nonobligate activities: people visiting a public place for leisure, shopping, entertainment, or civic or cultural engagement. Our work constructs a ratio of short to long visits, which can be used to inform population estimates for nonworker use of public space. These data may be useful for understanding how people’s use of public space has changed during the COVID-19 pandemic and, more generally, for understanding activity patterns in public.

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The US Census Longitudinal Employer-Household Dynamics Datasets

Cited by 7 publications

References 29 publications

Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN

Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN

Place‐based subsidies and employment growth in rural America: Evidence from the broadband initiatives programme

Spatial and Temporal Characterization of Activity in Public Space, 2019–2020

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