Exchange rate pass-through inflation and wage differentials in late-industrializing economies: the Mexican case

This paper investigates exchange rate pass-through inflation, and the wage bargaining process, in a developing economy in which firms' market power is largely dependent on technical progress embodied in imported intermediates and capital goods. It develops a heterodox model of income distribution, based on theoretical contributions from Latin American structuralists, labor market segmentationists and post-Keynesian writers, and it presents supportive empirical evidence from the Mexican economy.

Gender Wage Gap in Public Administration.

Rapport de recherche présenté à la Faculté des arts et sciences en vue de l'obtention du grade de Maîtrise en sciences économiques.

Gender Wage Gap in Public Administration Quebec.

Rapport de recherche présenté à la Faculté des arts et des sciences en vue de l'obtention du grade de Maîtrise en sciences économiques.

A new approach to gender wage gaps in Chile

Includes bibliography

Trinidad and Tobago: inter-industry wage differentials

Includes bibliography

Wage differentials between the public and private sectors in Chile: Evidence from longitudinal data

Includes bibliography.

Inter-regional wage differentials with individual heterogeneity: evidence from Brazil

This paper uses administrative data to follow Brazilian workers over time and examine what happens to the inter-regional wage differentials after controlling for unmeasured workers' characteristics that are fixed over time. Since the data allow us to track the same workers over the years, we are in the unusual position of obtaining the individual wages before and after the migration process. As a significant share of workers changed States in the sample period, it is possible to examine to what extent the wage differentials reflect the concentration of high-skilled individuals in some States. The results show that the overall wage variability across States drops to almost one third of its original value and the ranking of the State effects is significantly altered after we take into account the workers' fixed effects. A great deal of the inter-regional differentials, therefore, reflects differences in the average ability of workers across States.

DECOMPOSE: Stata module to compute decompositions of wage differentials

Given the results from two regressions (one for each of two groups), decompose computes several decompositions of the outcome variable differential. The decompositions shows how much of the gap is due to differing endowments between the two groups, and how much is due to discrimination. Usually this is applied to wage differentials using Mincer type earnings equations.

Compensating wage differentials and hazardous work /

Cover title.

... Report of the Special commission on wage differentials in the cap and cloth hat industry.

Mimeographed.

Report of the Special commission on wage differentials in the cap and cloth hat industry

Mimeographed.

The gender wage gap in the public and private sectors in Bangladesh

The gender wage gap is well studied in developed countries; however, recently it has generated much interest in developing countries. This thesis addresses three issues regarding the gender wage gap in Bangladesh. Firstly, it explores the wage determinants for formal public and private sector employees in Bangladesh and examines the gender pay gap. This is the first time different decomposition methods have been used to compare the sources of the gender wage gap as well as any potential discrimination effect in the formal sector of the Bangladeshi labour market. These decomposition methods are: the original Oaxaca (1973) and Blinder (1973) decomposition methods, the Neumark (1988), Cotton (1988), and Reimers (1983) methods, and the extended Oaxaca method including both the employment selection and the double selection correction in the wage equation. In addition to mentioned methods, to quantify the gender wage gap in monetary terms, a recently developed ‘simulated change’ approach by Olsen and Walby (2004) is also applied for the first time to the Bangladeshi data. By using the Labour Force Survey 2005-06, BBS (LFS 2005-06) data results show formal sector female employees earn about 32.1 per cent less than their male counterparts. Without considering the selection correction, a large range of human capital, demographic and labour market related variables are explained less than half of the total gender wage gap (21 to 46 per cent of the total wage gap) and the major part of the wage gap is unexplained (54 to 79 per cent of the total wage gap). This could partly be attributed to discrimination. Using the double selection correction method, the decomposition results changed where a small part of the wage gap was explained by the measured characteristics (only nine per cent of the total wage gap) and a major part is attributed to the discrimination and selection effect. The selection effect also reveals that exclusion of the double selection correction might lead to an overestimation of the gender wage gap in the formal sector of Bangladesh. In addition, results based on the Olsen and Walby (2004) simulation method show that, if the other characteristics of male and female employees were similar, ‘being female’ is sufficient, to generate significantly lower wages than males in the formal sector. If females in the workplace are treated as males, without considering any other endowment increases, females could increase their earnings by 4095.3 Taka1 per year. Results also indicate that not only endowment differences in human capital and work experience related variables were important, but discrimination appears to play a significant role in the total wage gap throughout the formal sector of the Bangladeshi labour market. Secondly, the study investigates whether public sector employees enjoyed a wage premium or not, compared to the private sector and whether the gender wage gap is greater in the public sector. In addition, the research considered whether there was an impact from the inclusion of the different selection correction terms in the wage equation. In Bangladesh, public sector employees have, on average, a 60 per cent wage premium over the private sector. Using both the original Oaxaca and the extended Oaxaca methods, where selection effect is partly captured by both explained and unexplained components, and using the public sector wage structure as the basis of the non-discriminatory wage structure, these methods revealed a considerably larger portion of explained (72 - 93 per cent of the total wage gap) and a smaller portion of unexplained part of the wage gap. However, if the selection correction is considered as another component of the decomposition outcome then the major portion of the total public and private sectors wage gap is justified (explained) by the effect of the selection correction and unexplained factors. Furthermore, a large part of the wage premium exists in favour of public sector female employees compared to males and the gender wage gap is lower in the public sector than the private sector. Finally, this study compares the gender wage gap of five different occupations. The gender wage gap is associated with labour market rigidities where one of the important factors is occupational segregation where females are disproportionately distributed in occupations resulting in lower earnings. The largest gender wage gap was found in agriculture, forestry, fisheries, production and transport labour jobs (56.4 per cent) and the lowest in the professional, technical administrative and managerial jobs (22.1 per cent). Substantial differences are found in the size of the endowment gap across occupations and larger variations occurred in the adjusted wage gap which varied from 21.4 per cent in sales and service occupations, to 100 per cent in professional and technical jobs (the highest). This too can be partly explained by discrimination. A reduction in the gender wage gap is expected not only to increase national income, but also to reduce poverty and lead to better outcomes for future generations. National policy should aim to reduce the gender wage gap and achieve gender wage equality in the formal sector; for example through a targeted program to remove the gender differences in education and to reduce the skill difference, with a better child care policy to encourage labour force retention and increased labour market experience for female employees, with anti-discriminatory policies and the enforcement of existing antidiscrimination policies, and a more equal distribution of males and females across occupations.

Rank Regressions, Wage Distributions and the Gender Gap.

In this paper, we model the interactions between the distribution of male and female wages under the assumption that any change in the wage distribution of women must be offset by an opposite change in the wage distribution of men.

Rank Regressions, Wage Distributions and the Gender Gap.

In this paper, we model the interactions between the distribution of male and female wages under the assumption that any change in the wage distribution of women must be offset by an opposite change in the wage distribution of men.