This paper explores the potential for Assemblage Theory to supplement current approaches to studying labor migration in law and the social sciences. Based upon a study of women's migration for garment and domestic work in India, I lay out the labor supply chain assemblage (LSCA) as a framework for understanding how workers find employment across multi-site, dynamic trajectories. Migration into temporary employment requires workers to move between jobs on an ongoing basis. Accordingly, studying labor supply chains as fluid assemblages defined by labor market conditions, component elements, and various agents provides a methodology for analyzing frequent job searches, across recruitment geographies, that include a range of recruitment actors. By accommodating temporal, territorial, and relational analysis, this approach provides insight into how labor migration processes for migrant garment and domestic workers in India articulate with the development of markets, working conditions, and social hierarchies – including on the basis of gender and caste.
more »
« less
Labor Rationing
This paper measures excess labor supply in equilibrium. We induce hiring shocks—which employ 24 percent of the labor force in external month-long jobs—in Indian local labor markets. In peak months, wages increase instantaneously and local aggregate employment declines. In lean months, consistent with severe labor rationing, wages and aggregate employment are unchanged, with positive employment spillovers on remaining workers, indicating that over a quarter of labor supply is rationed. At least 24 percent of lean self-employment among casual workers occurs because they cannot find jobs. Consequently, traditional survey approaches mismeasure labor market slack. Rationing has broad implications for labor market analysis. (JEL E24, J22, J23, J31, J64, O15, R23)
more »
« less
- Award ID(s):
- 1658924
- NSF-PAR ID:
- 10344363
- Date Published:
- Journal Name:
- American Economic Review
- Volume:
- 111
- Issue:
- 10
- ISSN:
- 0002-8282
- Page Range / eLocation ID:
- 3184 to 3224
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
We develop, estimate, and test a tractable general equilibrium model of oligopsony with differentiated jobs and concentrated labor markets. We estimate key model parameters by matching new evidence on the relationship between firms’ local labor market share and their employment and wage responses to state corporate tax changes. The model quantitatively replicates quasi-experimental evidence on imperfect productivity-wage pass-through and strategic wage setting of dominant employers. Relative to the efficient allocation, welfare losses from labor market power are 7.6 percent, while output is 20.9 percent lower. Lastly, declining local concentration added 4 percentage points to labor’s share of income between 1977 and 2013. (JEL E25, H71, J24, J31, J42, R23)more » « less
-
more » « less
Abstract Labor markets can shape the impacts of global market developments and local sustainability policies on agricultural outcomes, including changes in production and land use. Yet local labor market outcomes, including agricultural employment, migration and wages, are often overlooked in integrated assessment models (IAMs). The relevance of labor markets has become more important in recent decades, with evidence of diminished labor mobility in the United States (US) and other developed countries. We use the SIMPLE-G (Simplified International Model of agricultural Prices, Land use, and the Environment) modeling framework to investigate the impacts of a global commodity price shock and a local sustainable groundwater use policy in the US. SIMPLE-G is a multi-scale framework designed to allow for integration of economic and biophysical determinants of sustainability, using fine-scale geospatial data and parameters. We use this framework to compare the impacts of the two sets of shocks under two contrasting assumptions: perfect mobility of agricultural labor, as generally implicit in global IAMs, and relatively inelastic labor mobility (‘sticky’ agricultural labor supply response). We supplement the numerical simulations with analytical results from a stylized two-input model to provide further insights into the impacts of local and global shocks on agricultural labor, crop production and resource use. Findings illustrate the key role that labor mobility plays in shaping both local and global agricultural and environmental outcomes. In the perfect labor mobility scenario, the impact of a commodity price boom on crop production, employment and land-use is overestimated compared with the restricted labor mobility case. In the case of the groundwater sustainability policy, the perfect labor mobility scenario overestimates the reduction in crop production and employment in directly targeted grids as well as spillover effects that increase employment in other grids. For both shocks, impacts on agricultural wages are completely overlooked if we ignore rigidities in agricultural labor markets.
-
Amavilah, Voxi Heinrich (Ed.)more » « less
Background The fast-changing labor market highlights the need for an in-depth understanding of occupational mobility impacted by technological change. However, we lack a multidimensional classification scheme that considers similarities of occupations comprehensively, which prevents us from predicting employment trends and mobility across occupations. This study fills the gap by examining employment trends based on similarities between occupations.
Method We first demonstrated a new method that clusters 756 occupation titles based on knowledge, skills, abilities, education, experience, training, activities, values, and interests. We used the Principal Component Analysis to categorize occupations in the Standard Occupational Classification, which is grouped into a four-level hierarchy. Then, we paired the occupation clusters with the occupational employment projections provided by the U.S. Bureau of Labor Statistics. We analyzed how employment would change and what factors affect the employment changes within occupation groups. Particularly, we specified factors related to technological changes.
Results The results reveal that technological change accounts for significant job losses in some clusters. This poses occupational mobility challenges for workers in these jobs at present. Job losses for nearly 60% of current employment will occur in low-skill, low-wage occupational groups. Meanwhile, many mid-skilled and highly skilled jobs are projected to grow in the next ten years.
Conclusion Our results demonstrate the utility of our occupational classification scheme. Furthermore, it suggests a critical need for skills upgrading and workforce development for workers in declining jobs. Special attention should be paid to vulnerable workers, such as older individuals and minorities.
-
Online professional networking platforms are widely used and may help workers to search for and obtain jobs. We run the first randomized evaluation of training work seekers to join and use one of the largest platforms, LinkedIn. Training increases the end-of-program employment rate by 10 percent (7 percentage points), and this effect persists for at least 12 months. The available employment, platform use, and job search data suggest that employment effects are explained by work seekers using the platform to acquire information about prospective employers and perhaps by work seekers accessing referrals and conveying information to prospective employers on the platform. (JEL J22, J23, J24, J64, M53, O15)more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1257/aer.20201385
