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4 edition of Decomposing the gender wage gap in the Netherlands with sample selection adjustments found in the catalog.

Decomposing the gender wage gap in the Netherlands with sample selection adjustments

James W. Albrecht

Decomposing the gender wage gap in the Netherlands with sample selection adjustments

  • 72 Want to read
  • 36 Currently reading

Published by IZA in Bonn, Germany .
Written in English

    Places:
  • Netherlands,
  • Netherlands.
    • Subjects:
    • Wages -- Netherlands -- Sex differences.,
    • Wages -- Women -- Netherlands.

    • Edition Notes

      Statementby James Albrecht, Aico van Vuuren, Susan Vroman.
      SeriesDiscussion paper ;, no. 1400, Discussion paper (Forschungsinstitut zur Zukunft der Arbeit : Online) ;, no. 1400
      ContributionsVan Vuuren, Aico., Vroman, Susan.
      Classifications
      LC ClassificationsHD5701
      The Physical Object
      FormatElectronic resource
      ID Numbers
      Open LibraryOL3477637M
      LC Control Number2005617394

      sample selection issues in Section Vof this paper. (ii) Individual Characteristics and Compensating Differentials For unbiased estimation, all individual characteristics that might influence wage and are correlated with gender must be included as explanatory variables in the estimation equation. A detailed description of the individual. The decomposition of wage returns into a firm-specific and general component allows us to identify a potentially important source of gender disparities in earnings dynamics. In our empirical analysis we use the National Longitudinal Surveys of Youth (NLSY) to estimate wage returns to tenure and experience. Our sample consists of a panel of. gender pay gap in the labour market as a whole is analysed both at the European level and within the different countries. Finally, an attempt to evaluate the evolution of the gender pay gap over time is made. The second section of the first part narrows the focus to the gender pay gap in scientific and research professions. Table The gender pay gap comparing married to unmarried people (£ per hour) Table The gender pay gap by marital status and age (£ per hour) Table The gender pay gap by presence of dependent children in household Table Housework and paid work hours (UKHLS; 45, observations) Table The pay gap by educational level.


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Decomposing the gender wage gap in the Netherlands with sample selection adjustments by James W. Albrecht Download PDF EPUB FB2

Decomposing the Gender Wage Gap in the Netherlands with Sample Selection Adjustments In this paper, we use quantile regression decomposition methods to analyze the gender gap between men and women who work full time in the Netherlands. Because the fraction of women working full time in the Netherlands is quite low, sample selection is a.

In this paper, we use quantile regression decomposition methods to analyze the gender gap between men and women who work full time in the Netherlands.

Because the fraction of women working full time in the Netherlands is quite low, sample selection is a serious by: T1 - Decomposing the Gender Wage Gap in the Netherlands with Sample Selection Adjustments.

AU - Albrecht, James. AU - van Vuuren, Aico. AU - Vroman, Susan. PY - Y1 - N2 - In this paper, we use quantile regression decomposition methods to analyzethe gender gap between men and women who work full time in the by: IZA DP No.

Decomposing the Gender Wage Gap in the Netherlands with Sample Selection Adjustments James Albrecht, Aico van Vuuren, Susan Vroman. published in: Labour Economics,16 (4), In this paper, we use quantile regression decomposition methods to analyze the gender gap between men and women who work full time in the.

DECOMPOSING THE GENDER WAGE GAP WITH SAMPLE Revista de Análisis Económico, Vol. 25, Nº 2, pp. (Diciembre ) DECOMPOSING THE GENDER WAGE GAP WITH SAMPLE SELECTION ADJUSTMENT: EVIDENCE FROM COLOMBIA DESCOMPONIENDO LA BRECHA SALARIAL DE GENERO CON AJUSTE the Netherlands, the gap is larger at the top of the Cited by: Gender Wage Gaps in the Netherlands with Sample Selection Adjustments.

in the Netherlands; i. the gender log wage gap is greater for higher quantiles. to decompose the gender gap at. A substantial gender gap at the top quantiles of the wage distribution is commonly referred to as a glass ceiling effect.

We refer to the sizable gap observed at the bottom of the distribution in Spain and Colombia as a quicksand floor effect. Several papers decompose the gender wage gap across the distribution for different. Alejandro Badel Ximena Peña, "Decomposing the Gender Wage Gap with Sample Selection Adjustment: Evidence from Colombia," Revista de Analisis Economico Economic Analysis Review, Universidad Alberto HurtadoSchool of Economics and Business, vol.

25(2), pagesDiciembre. Also, self selection into the labor force is crucial for gender gaps: if all women participated in the labor force, the observed gap would be roughly 50 larger at all quantiles. Keywords: Gender Gap, Mincer, Wage, Semiparametric, Quantile Regression, SelectionCited by: 4.

In addition to decomposing the gender wage gap at the mean level of wages, the research also investigated the causes of gender income differentials along the entire distribution of wages. In this paper, we use quantile regression methods to analyze the gender gap in the Netherlands.

Specifically, we use data from the wave of the OSA Labour Survey Panel to decompose the difference between the distributions of wages for males and females who are employed full-time.

The decomposition technique we use is the Machado and Mata () method, as applied in Albrecht. Downloadable. In this paper, we use quantile regression decomposition methods to analyze the gender gap between men and women who work full time in the Netherlands.

Because the fraction of women working full time in the Netherlands is quite low, sample selection is a serious issue. In addition to shedding light on the sources of the gender gap in the Netherlands, we make two methodological.

Alejandro Badel Ximena Peña, "Decomposing the gender wage gap with sample selection adjustment: evidence from Colombia," Working PapersFederal Reserve Bank of St.

Louis. Decomposing the GenderWage Gap with Sample Selection Adjustment: Evidence from Colombia," Documentos CEDEUniversidad de los Andes - CEDE. Decomposing the gender wage gap in the Netherlands with sample selection adjustments "In this paper, we use quantile regression decomposition methods to analyze the gender gap between men and women who work full time in the Netherlands.

Because the fraction of women working full. Decomposing the gender wage gap in the Netherlands with sample selection adjustments Catalog Record - Electronic Resource Available "In this paper, we use quantile regression decomposition methods to analyze the gender gap between men and women who work full time in the Netherlands.

Because the fraction of women working full time in the Netherlands is quite low, sample selection is. BookPrinted Material Decomposing the gender wage gap in the Netherlands with sample selection adjustments "In this paper, we use quantile regression decomposition methods to analyze the gender gap between men and women who work full time in the Netherlands.

This thesis examines differences in pay between men and women in Italy during the period and puts special emphasis on the effects of sample selection.

It decomposes the gender pay gap in. The Gender Wage Gap and Sample Selection via Risk Attitudes Seeun Jungy Paris School of Economics June Abstract This paper investigates a new way to decompose the gender wage gap with the introduction of individual risk attitudes using representative Korean data.

We esti-mate the wage gap with correction for the selection bias, which. The differences in the wages earned by female workers when compared to male workers are measured by the gender pay gap (GPG), also known as the gender wage gap.

The GPG can be measured in an unadjusted form and in an adjusted form. The OECD calculates the unadjusted GPG by using the difference between male and female median wages divided by the. "Decomposing the Gender Wage Gap in the Netherlands with Sample Selection Adjustments," IZA Discussion PapersInstitute of Labor Economics (IZA).

Philippe Van Kerm, " Generalized measures of wage differentials," Empirical Economics, Springer, vol. 45(1), pagesAugust. This change in the female selection explains of the observed convergence in the mean log wage gap between female regular workers and male workers.

View Show abstract. Today, Statistics Netherlands (CBS) released a publication on the labour market. It not only focuses on the difference between average hourly wages, as is customary, but also looks at other ways of measuring the gender pay gap.

Based on the average or median net hourly wage, it turns out that women are even better off than men. Gender Wage Gaps in the Netherlands with Sample Selection Adjustments. This allows us to decompose the gender gap at different quantiles taking account of sample selection.

Abstract-This paper investigates the gender wage gap in Indonesia by analyzing data from the Indonesia-National Labor Force Survey (SAKERNAS) to quantify the gap and decompose it into explained and unexplained gaps. Without controlling for differences in characteristics, we found that women were paid approximately 30 percent less than men.

Studies that apply decomposition techniques in assessing the gender wage gap in Indonesia are still insufficient. Benjamin () found that the unexplained part ranged from 62 percent to 81 percent after decomposing the gender wage gap among paid employees according to the survey year ( and ) and residential areas (urban and rural).

Due to the gender pay gap, women in the Netherlands effectively work unpaid for almost two months per year, according to a study on the differences in salaries between men and women in European countries by Expert Market, Britain's leading B2B comparison site. At a gender pay gap of percent, the Netherlands is far behind Luxembourg and Italy, where the pay gap between men.

Is the gender wage gap declining in the Netherlands. Applied Economics: Vol. 40, No. 2, pp. Analysis of the wage gap between male and female agricultural workers: Analysis and implications for gender and development policy Roehlano M. Briones 1. Introduction The gender gap is a key development concern worldwide.

In agriculture in particular, the issue of a gender gap in developing countries has been highlighted in a number of studies. Trends in the gender wage gap and gender inability to control for sample selection bias does, however, complicate the interpretation of the results. Pierce technique (JMP) to decompose the change in the estimated gender wage gap over time into various components.

The JMP attributes a portion of the change in the wage gap to changes in. both spouses for the analysis of the gender wage gap. For the nondiscriminatory wage structure we follow Neumark () and Oaxaca and Ran-som (). Empirical application of the gender gap decomposition using the Oaxaca-Ransom-Neumark procedure in the presence of sample selectivity (e.Mavromaras and Rudolph, ).

The gender pay gap measures the differences in the wages earned by female workers when compared to male workers. Accurately measuring the gender pay gap is an important exercise in order to assess how far we are from the ideal of equal pay for work of equal value.

Determining the different sources of the gender pay gap is also very important in. This study constructs wage equations according to Mincer earnings function for men and women separately, and the equations are estimated by OLS and Heckman selection regression for eleven developing countries.

Our results show that the wage equation estimates for five countries including Ukraine, Sri Lanka, Macedonia Lao and Yunnan, China have the selection bias.

This paper considers measures of wage differentials not solely determined by mean comparisons but summarizing differences across complete wage distributions. The approach builds on considerations of risk or inequality aversion and on standard expected utility concepts. In an application to the gender pay gap in Luxembourg the disadvantage of women persists according to the proposed.

The Gender Wage Gap in Ghana: Empirical Evidence from the Formal and Informal Sectors. Musah Khalid. Abstract.

Using data from the Ghana Living Standard Survey (GLSS) VI this paper investigates the gender wage gap across the conditional wage distributions of formal and informal sector wage earners using a quantile regression technique.

Decomposing the gender wage gap 13th Winter School on Inequality and Social Welfare Theory Daniela Piazzalunga University of Verona lunga Main references Blau F. and Kahn L. () The Gender Wage Gap: Extent, Trends, and Explanations. Journal of Economic Literature, 55(3) the gender wage gap between and in the U.

The gender wage gap narrowed significantly during the period studied, from percent of men's earnings to percent. The results of decomposition show that women narrowed the gender wage gap through increases in experience, work hours and education. Gender wage gap in Netherlands slightly smaller, but still there.

Women in the Netherlands still earn less than their male counterparts, but the wage gap is slowly decreasing, Statistics Netherlands reported on Thursday.

According to the stats office, the wage gap can partly be attributed to background characteristics like age, education and. Riddell have suggested ways of decomposing the gender wage gap along sectoral lines In this article we examine the size and determinants of the gender wage gap in three African countries-Ethiopia, Uganda, and the Coˆte dIvoire.

We extend existing methods in a way that addresses both the index number and the sectoral decomposition problem. We explore whether there is a gender wage gap in one of the largest EU online labor markets, PeoplePerHour.

Our unique dataset consists ofdigitally tradeable tasks of 55, hiring employers from countries workers from countries that made more than million wage bill proposals. This chapter provides a review of the economics literature on the gender wage gap, with an emphasis on developed countries. We begin with an overview of the trends in the gender differences in wages and employment rates.

We then review methods used to decompose the gender wage gap and the results from such decompositions. Abstract This paper develops a heterodox analytical framework of wage determination and a new method of decomposition of the gender pay gap drawing on Marxian and feminist theories.

The proposed framework utilizes two wage equations for the analysis of the gender gap: the first equation refers to average occupational wages and the second to individual wages as deviations from .(Uj) are identical to the industry sample mean wages (-j).' The gender wage gap is simply the difference between equations (3) and (4).

One can readily decompose the gender wage gap into explained and unexplained components by adding and subtracting the term jfOm as follows: (5) y5f _y mj (f_ PM) + (f_am) + xf (of _ Om) + (g/ -!n) Om I I I.2. Mean wages in dollars and the gender wage gap in selected years 99 3.

Difference in the gender wage gap between selected years 4. Log of mean wages in selected years 5. Decomposing changes in the wage gap with the Juhn et. al method 6. Decomposing change in the gender wage gap with kernel density.