scholarly journals Reconsidering the Consequences of Worker Displacements: Firm versus Worker Perspective

2019 ◽  
Vol 11 (2) ◽  
pp. 193-227 ◽  
Author(s):  
Aaron Flaaen ◽  
Matthew D. Shapiro ◽  
Isaac Sorkin
Keyword(s):  
Survey Data ◽  
Administrative Data ◽  
Displaced Workers ◽  
Economic Distress ◽  
Earnings Dynamics ◽  
Mass Layoffs ◽  
Earnings Losses ◽  
Prior Literature ◽  
Survey Responses ◽  
Mass Layoff

Prior literature has established that displaced workers suffer persistent earnings losses by following workers in administrative data after mass layoffs. This literature assumes that these are involuntary separations owing to economic distress. This paper examines this assumption by matching survey data on worker-supplied reasons for separations with administrative data. Workers exhibit substantially different earnings dynamics in mass layoffs depending on the reason for separation. Using a new methodology to account for the increased separation rates across all survey responses during a mass layoff, the paper finds earnings loss estimates that are surprisingly close to those using only administrative data. (JEL E32, J31, J63, J64, J65)

scholarly journals Earnings Losses of Displaced Workers Revisited

2010 ◽  
Vol 100 (1) ◽  
pp. 572-589 ◽  
Author(s):  
Kenneth A Couch ◽  
Dana W Placzek
Keyword(s):  
Administrative Data ◽  
Unemployment Insurance ◽  
Fixed Effects ◽  
Panel Study ◽  
Displaced Workers ◽  
Income Dynamics ◽  
Matching Estimators ◽  
Earnings Losses ◽  
Random Growth ◽  
Mass Layoff

Earnings losses of Connecticut workers affected by mass layoff are calculated using administrative data. Estimated reductions are initially more than 30 percent and six years later, as much as 15 percent. The Connecticut estimates are smaller than comparable ones from Pennsylvania administrative data but similar to those from the Panel Study of Income Dynamics (PSID) and Department of Workforce Services (DWS). Earnings reductions in Connecticut and Pennsylvania are concentrated among Unemployment Insurance recipients. An unusually high proportion of Unemployment Insurance beneficiaries in Pennsylvania explains the larger estimated losses relative to other studies. Fixed-effects, random growth, and matching estimators produced similar earnings loss estimates suggesting each is relatively unbiased in this context.

Spillover Effects of Mass Layoffs

2018 ◽  
Vol 18 (1) ◽  
pp. 427-468 ◽  
Author(s):  
Christina Gathmann ◽  
Ines Helm ◽  
Uta Schönberg
Keyword(s):  
Event Study ◽  
Administrative Data ◽  
Regional Economy ◽  
Spillover Effects ◽  
Geographic Mobility ◽  
Employment Opportunities ◽  
Employment Effects ◽  
Study Approach ◽  
Mass Layoffs ◽  
Mass Layoff

Abstract Using administrative data on firms and workers in Germany, we quantify the spillover effects of mass layoffs. Our empirical strategy combines matching with an event study approach to trace employment and wages in regions hit by a mass layoff relative to suitable control regions. We find sizable and persistent negative spillover effects on the regional economy: regions, and especially firms producing in the same broad industry as the layoff plant, lose many more jobs than in the initial layoff. In contrast, negative employment effects on workers employed in the region at the time of the mass layoff are considerably smaller. Strikingly, workers younger than 50 suffer no employment losses, as geographic mobility fully shields them from the decline in local employment opportunities.

scholarly journals Job Ladders and Earnings of Displaced Workers

2017 ◽  
Vol 9 (2) ◽  
pp. 1-31 ◽  
Author(s):  
Pawel Krolikowski
Keyword(s):  
Displaced Workers ◽  
Job Displacement ◽  
Wage Dispersion ◽  
Earnings Losses ◽  
Displaced Worker

Workers who suffer job displacement experience surprisingly large and persistent earnings losses. This paper proposes an explanation for this robust empirical puzzle in a model of search with a significant job ladder and increased separation rates for the recently hired. In addition to capturing the depth and persistence of displaced worker earnings losses, the model matches: employment-to-nonemployment and employer-to-employer probabilities by tenure; the empirical decomposition of earnings losses into reduced wages and employment; observed wage dispersion; and the distribution of wage changes around a nonemployment event. (JEL J31, J63, J64)

Plant Closings and Advance-Notice Laws: Putting the Pieces Together

1995 ◽  
Vol 9 (4) ◽  
pp. 356-371 ◽  
Author(s):  
John Portz
Keyword(s):  
Federal Government ◽  
Policy Design ◽  
Displaced Workers ◽  
Plant Closings ◽  
Limited Impact ◽  
Mass Layoffs ◽  
Advance Notice ◽  
Primary Means

In 1988, the federal government passed the Worker Adjustment and Retraining Notification Act. Previous to this action, several states approved their own laws requiring advance notice of plant closings and mass layoffs. Implementation and enforcement of advance-notice laws have been weak and limited, due primarily to a policy design that includes numerous criteria for legal exclusion, as well as reliance on adjudication as the primary means of such implementation and enforcement. Advance-notice laws have had limited impact in averting plant closings and mass layoffs, but appear more successful in assisting displaced workers find new employment. For employers, advance notice entails some costs, although they do not appear excessive; less is known about costs in the larger economy.

Linking Federal Surveys with Administrative Data to Improve Research on Families

2016 ◽  
Vol 669 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Amy O’Hara ◽  
Rachel M. Shattuck ◽  
Robert M. Goerge
Keyword(s):  
Survey Data ◽  
Administrative Data ◽  
Low Income ◽  
Family Relationships ◽  
Census Data ◽  
Federal State ◽  
Great Promise ◽  
Science Literature ◽  
Administrative Records ◽  
State And Local

Linkage of federal, state, and local administrative records to survey data holds great promise for research on families, in particular research on low-income families. Researchers can use administrative records in conjunction with survey data to better measure family relationships and to capture the experiences of individuals and family members across multiple points in time and social and economic domains. Administrative data can be used to evaluate program participation in government social welfare programs, as well as to evaluate the accuracy of reporting on receipt of such benefits. Administrative records can also be used to enhance collection and accuracy of survey and census data and to improve coverage of hard-to-reach populations. This article discusses potential uses of linked administrative and survey data, gives an overview of the linking methodology and infrastructure (including limitations), and reviews social science literature that has used this method to date.

scholarly journals What Do Survey Data Tell Us about US Businesses?

2020 ◽  
Vol 2 (4) ◽  
pp. 443-458
Author(s):  
Anmol Bhandari ◽  
Serdar Birinci ◽  
Ellen R. McGrattan ◽  
Kurt See
Keyword(s):  
Survey Data ◽  
Measurement Errors ◽  
Wealth Inequality ◽  
Business Owners ◽  
Private Business ◽  
Publicly Traded ◽  
Rates Of Return ◽  
Survey Responses ◽  
Survey Designs

This paper examines the reliability of survey data on business incomes, valuations, and rates of return, which are key inputs for studies of wealth inequality and entrepreneurial choice. We compare survey responses of business owners with available data from administrative tax records, brokered private business sales, and publicly traded company filings and document problems due to nonrepresentative samples and measurement errors across several surveys, subsamples, and years. We find that the discrepancies are economically relevant for the statistics of interest. We investigate reasons for these discrepancies and propose corrections for future survey designs. (JEL C82, C83, D22)

Where Are They Now?

2020 ◽  
pp. 57-91
Author(s):  
Melinda Lundquist Denton ◽  
Richard Flory
Keyword(s):  
Data Collection ◽  
Emerging Adults ◽  
Survey Data ◽  
Religious Traditions ◽  
Religious Lives ◽  
Survey Responses ◽  
Changes Over Time ◽  
Over Time

Building on the foundation laid in Chapter 2, this chapter focuses specifically on the religious lives of emerging adults. Survey responses from multiple waves of data collection are used to show changes over time. The chapter focuses on change and continuity in the religious lives of emerging adults, while also showing how different religious traditions have fared in terms of influencing the lives of emerging adults. Taken together, the survey data show an overarching story of decline; yet under the surface there is movement both toward and away from religion.

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