WAGE DISCRIMINATION IN INDIA’S FORMAL AND INFORMAL LABOR MARKETS

2019 ◽  
pp. 1-21
Author(s):  
BHASKAR JYOTI NEOG ◽  
BIMAL KISHORE SAHOO

The study examines the extent of gender and caste-based discrimination among the formally and informally employed in India using the National Sample Survey Office (NSSO) Employment-Unemployment Survey (EUS) data for the four major rounds from 1999–00 to 2011–12. Oaxaca-Blinder decomposition results corrected for self-selection show wage discrimination to be significantly higher in informal employment compared to the formally employed. Similarly, caste-based discrimination is found to be lower compared to gender-based discrimination. The quantile decomposition results show discrimination to vary across the quantiles. Our results highlight the need for better regulation of the informal labor market in India.

2021 ◽  
Vol 55 (1) ◽  
Author(s):  
Paula Zamora ◽  
César Mantilla ◽  
Mariana Blanco

AbstractWe conducted an audit experiment to examine whether street vendors in Bogotá (Colombia) exert price discrimination based on buyers’ attributes, such as gender and nationality, and based on product characteristics, such as the increasing marginal valuation of items needed to complete a collection. We exploited the seasonal demand for album stickers related to the FIFA World Cup Russia 2018. In our within-subjects design, experimenters carried out in-person audits and quoted a pre-determined list of missing stickers. They interacted with 59 sticker vendors located in five geographic clusters and collected 287 vendor–buyer interactions. We find that prices quoted to foreign buyers are higher than prices quoted to Colombian buyers. By contrast, we do neither find evidence supporting direct gender-based discrimination, nor that vendors charge a higher price per sticker when the list of missing stickers is shorter. We complement the study with a qualitative analysis based on interviews that reveal vendors’ pricing strategies, their awareness of price discrimination, and the trade of counterfeits. The qualitative results suggest that price discrimination appears to be unconscious.


2019 ◽  
Author(s):  
Paula Zamora ◽  
Cesar Mantilla ◽  
Mariana Blanco

We conducted an audit experiment to examine whether street vendors in Bogotá (Colombia) exert price discrimination based on buyers' attributes, such as gender and nationality; and based on product characteristics, such as the increasing marginal valuation of items needed to complete a collection. We exploited the seasonal demand for album stickers related to the FIFA World Cup Russia 2018. In our within-subjects design, experimenters carried out in-person audits and quoted a pre-determined list of missing stickers. They interacted with 59 sticker vendors located in five geographic clusters. We find that prices quoted to foreign buyers are higher than prices quoted to Colombian buyers. By contrast, we do not find evidence supporting direct gender-based discrimination, neither that vendors charge a higher price per sticker when the list of missing stickers is shorter. We complement the study with a qualitative analysis based on interviews that reveal vendors' pricing strategies, their awareness of price discrimination, and the trade of counterfeits.


2021 ◽  
Vol 13 (1) ◽  
pp. 104-121
Author(s):  
Manik Kumar ◽  
Sweety Pandey

This article elucidates the wage differential between formal and informal workers across different sectors, gender, occupation, and industry by using the 61st (2004–2005) and 68th (2011–2012) Rounds of National Sample Survey Office (NSSO) unit-level data. The study emphasizes two things: first, identifying the existence of the absolute wage gap between formal and informal workers and, second, finding the intensity of discrimination in wage between formal and informal workers. The vast body of literature available on this issue identifies gender, caste, religion, and region as the factors causing wage discrimination. This literature makes a shift from these traditional concepts by explaining the importance of job contract as a basis of wage discrimination. This study utilizes the percentage relative gap (PGR) to work out the absolute wage gap between the two types of workers (formal and informal) and thereafter decomposes it to arrive at the source of the wage gap. The study applies the threefold Blinder–Oaxaca (B–O) decomposition method, which categorizes the total wage gap into three parts. The dependent variable chosen for the equation is the natural logarithm of daily wage. While the wage gap between formal and informal workers did not significantly fall during the study period, the results, on the other hand, indicate that the component of discrimination is larger than the component of endowment. This explains the discrimination perpetrated against informal workers in the Indian labor market. Tackling such discrimination necessitates implementation of more proactive policies for achieving wage equality in India.


2013 ◽  
Vol 04 (02) ◽  
pp. 1350007 ◽  
Author(s):  
K. S. KAVI KUMAR ◽  
BRINDA VISWANATHAN

While a wide range of factors influence rural–rural and rural–urban migration in developing countries, there is significant interest in analyzing the role of agricultural distress and growing inter-regional differences in fueling such movement. This strand of research acquires importance in the context of climate change adaptation. In the Indian context, this analysis gets further complicated due to the significant presence of temporary migration. This paper analyzes how weather and its variability affects both temporary and permanent migration in India using National Sample Survey data for the year 2007–2008. The paper finds that almost all of the rural–urban migrants are permanent. Only temperature plays a role in permanent migration. In contrast, many temporary migrants are rural–rural and both temperature and rainfall explain temporary migration.


2021 ◽  
pp. 097370302110296
Author(s):  
Soumyajit Chakraborty ◽  
Alok K. Bohara

Being from backward castes, classes and Muslims in India has an economic cost associated with the nature of institutional discrimination. Using the 2011–2012 National Sample Survey data, this study identifies that caste and religion still rule the modern Indian labour market. We find that discrimination is evident in the socio-religious earnings gaps. While the parametric decompositions suggest that most of these gaps are due to differential human capital endowment, the nonparametric method almost evenly attributes inequality to discrimination and endowment. The results presented in this study suggest that discrimination against Scheduled Castes and Scheduled Tribes, Muslims and Other Backward Classes should be included in policy designs to promote equity in the Indian labour market.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Anup Karan ◽  
Himanshu Negandhi ◽  
Suhaib Hussain ◽  
Tomas Zapata ◽  
Dilip Mairembam ◽  
...  

Abstract Background Investment in human resources for health not only strengthens the health system, but also generates employment and contributes to economic growth. India can gain from enhanced investment in health workforce in multiple ways. This study in addition to presenting updated estimates on size and composition of health workforce, identifies areas of investment in health workforce in India. Methods We analyzed two sources of data: (i) National Health Workforce Account (NHWA) 2018 and (ii) Periodic Labour Force Survey 2017–2018 of the National Sample Survey Office (NSSO). Using the two sources, we collated comparable estimates of different categories of health workers in India, density of health workforce and skill-mix at the all India and state levels. Results The study estimated (from NHWA 2018) a total stock of 5.76 million health workers which included allopathic doctors (1.16 million), nurses/midwives (2.34 million), pharmacist (1.20 million), dentists (0.27 million), and traditional medical practitioner (AYUSH 0.79 million). However, the active health workforce size estimated (NSSO 2017–2018) is much lower (3.12 million) with allopathic doctors and nurses/midwives estimated as 0.80 million and 1.40 million, respectively. Stock density of doctor and nurses/midwives are 8.8 and 17.7, respectively, per 10,000 persons as per NHWA. However, active health workers’ density (estimated from NSSO) of doctor and nurses/midwives are estimated to be 6.1 and 10.6, respectively. The numbers further drop to 5.0 and 6.0, respectively, after accounting for the adequate qualifications. All these estimates are well below the WHO threshold of 44.5 doctor, nurses and midwives per 10,000 population. The results reflected highly skewed distribution of health workforce across states, rural–urban and public–private sectors. A substantial proportion of active health worker were found not adequately qualified on the one hand and on the other more than 20% of qualified health professionals are not active in labor markets. Conclusion India needs to invest in HRH for increasing the number of active health workers and also improve the skill-mix which requires investment in professional colleges and technical education. India also needs encouraging qualified health professionals to join the labor markets and additional trainings and skill building for already working but inadequately qualified health workers.


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