CREDIT CONSTRAINTS AND LABOR SUPPLY: EVIDENCE FROM BANK BRANCHING DEREGULATION

2019 ◽  
Vol 58 (1) ◽  
pp. 335-360 ◽  
Author(s):  
Kien Dao Bui ◽  
Ejindu S. Ume
Keyword(s):  
Labor Supply ◽  
Credit Constraints ◽  
Bank Branching

scholarly journals Nonconvexities, Retirement, and the Elasticity of Labor Supply

2013 ◽  
Vol 103 (4) ◽  
pp. 1445-1462 ◽  
Author(s):  
Richard Rogerson ◽  
Johanna Wallenius
Keyword(s):  
Human Capital ◽  
Life Cycle ◽  
Labor Supply ◽  
Capital Accumulation ◽  
Credit Constraints ◽  
Elasticity Of Substitution ◽  
Human Capital Accumulation ◽  
Hours Worked ◽  
Younger Workers ◽  
Life Cycle Models

We consider two life cycle models of labor supply that use nonconvexities to generate retirement. In each case we derive a link between hours worked prior to retirement, the intertemporal elasticity of substitution for labor (IES), and the size of the nonconvexities. This link is robust to allowing for credit constraints and human capital accumulation by younger workers and suggests values for the IES that are .75 or higher. (JEL D91, J22, J24, J26)

scholarly journals Labor Supply Responses to Adverse Shocks under Credit Constraints: Evidence from Bukidnon, Philippines

2006 ◽  
Author(s):  
Hazel Jean Malapit ◽  
Jade Eric Redoblado ◽  
Deanna Margarett Cabungcal-Dolor ◽  
Jasmin Suministrado
Keyword(s):  
Labor Supply ◽  
Credit Constraints

Implications of higher retirement age for the labor market

2017 ◽  
pp. 22-39 ◽  
Author(s):  
M. Ivanova ◽  
A. Balaev ◽  
E. Gurvich
Keyword(s):  
Economic Growth ◽  
Labor Market ◽  
Labor Supply ◽  
Labor Force ◽  
Labor Demand ◽  
Retirement Age ◽  
Demographic Trends ◽  
Men And Women ◽  
Demographic Projections ◽  
The Impact

The paper considers the impact of the increase in retirement age on labor supply and economic growth. Combining own estimates of labor participation and demographic projections by the Rosstat, the authors predict marked fall in the labor force (by 5.6 million persons over 2016-2030). Labor demand is also going down but to a lesser degree. If vigorous measures are not implemented, the labor force shortage will reach 6% of the labor force by the period end, thus restraining economic growth. Even rapid and ambitious increase in the retirement age (by 1 year each year to 65 years for both men and women) can only partially mitigate the adverse consequences of demographic trends.

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

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