Parental Leave Legislation and Women's Work: A Story of Unequal Opportunities
In: Journal of policy analysis and management: the journal of the Association for Public Policy Analysis and Management, Band 35, Heft 1, S. 117-144
ISSN: 0276-8739
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In: Journal of policy analysis and management: the journal of the Association for Public Policy Analysis and Management, Band 35, Heft 1, S. 117-144
ISSN: 0276-8739
In: Journal of policy analysis and management: the journal of the Association for Public Policy Analysis and Management, Band 35, Heft 1, S. 117-144
ISSN: 1520-6688
AbstractU.S. federal and state family leave legislation requires employers to provide job‐protected parental leave for new mothers covered under the legislation. In most cases the leave is unpaid, and rarely longer than 12 weeks in duration. This study evaluates disparities in parental leave eligibility, access, and usage across the family income distribution in the United States. It also describes the links between leave‐taking and women's labor market careers. The focus is especially on low‐income families, as their leave coverage and ability to afford taking unpaid leave is particularly poor. This study shows that the introduction of both state and federal legislation increased overall leave coverage, leave provision, and leave‐taking. For example, the Family and Medical Leave Act (FMLA) leads to an increased probability of leave‐taking by nearly 20 percentage points and increased average leave length by almost five weeks across all states. The new policies did not, however, reduce gaps between low‐ and high‐income families' eligibility, leave‐taking, or leave length. In addition, the FMLA effects on leave‐taking were very similar across states with and without prior leave legislation, and the FMLA did not disproportionately increase leave‐taking for women who worked in firms and jobs covered by the new legislation, as these women were already relatively well covered by other parental leave arrangements.
In: NBER Working Paper No. w27040
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In: Harvard Business School Entrepreneurial Management Working Paper No. 20-105
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In: NBER Working Paper No. w25509
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In: NBER Working Paper No. w24494
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In: The Economic Journal, Band 128, Heft 612, S. F235-F272
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In: NBER Working Paper No. w16736
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In: Journal of human capital: JHC, Band 15, Heft 1, S. 86-127
ISSN: 1932-8664
In: The economic journal: the journal of the Royal Economic Society, Band 128, Heft 612, S. F235-F272
ISSN: 1468-0297
In: American economic review, Band 103, Heft 3, S. 193-197
ISSN: 1944-7981
The firm is almost entirely absent from models of immigration, and yet firms play a central role for high-skilled immigration. The H-1B visa program, for example, is a firm-sponsored entry where firms are responsible for every stage: from identifying the immigrant, to employing them, to filing for permanent residency on behalf of the immigrant. This central role of firms for high-skilled immigration suggests the traditional lens for evaluating the impact of immigration on natives through local area labor markets or national age-education approaches may miss important dynamics. We analyze the employment and wage trajectories of high-skilled workers born in America when a high-skilled immigrant arrives at their work site. We use linked employer-employee data during the 1995-2008 period from the Census Bureau for this exercise, which identifies the immigration status and country-of-birth of workers. We follow the subsequent career path of workers after high-skilled immigration occurs to the employee's work site both within firms (e.g., changes in employee salary, relocation to other sites) and across firms (e.g., movements to new jobs or out of workforce, long-term salary adjustments). The richness and depth of the Census Bureau data allow for multiple comparison points: selection on observables (e.g., age, tenure, salary levels and recent growth), varying immigration treatments across different work sites for the same firm for otherwise comparable employees, and (for a subset of cases and short time period at the end of our sample) randomization in H-1B admission lotteries.