Academic literature on the topic 'Wage gap'

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Journal articles on the topic "Wage gap"

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Shannon, Michael. "Minimum wages and the gender wage gap." Applied Economics 28, no. 12 (December 1996): 1567–76. http://dx.doi.org/10.1080/000368496327543.

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Machová, Zuzana, and Lenka Filipová. "Gender Wage Gap." International Journal of Information Systems and Social Change 4, no. 1 (January 2013): 53–67. http://dx.doi.org/10.4018/jissc.2013010104.

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This paper was written as a part of a research project studying problem of wage determinant measuring and wage discrimination considering different wage requirements of men and women. The wage determinants and gender wage discrimination are analyzed using a probit model. The whole analysis is methodologically based on Mincer’s Wage Regression and Oaxaca-Blinder decomposition of gender wage gap. The wage variables include, aside from standard personal characteristics, dummies for institutional and firm characteristics and dummies for family status and family roles. The data were gained by a questionnaire survey carried out in Ostrava city. The results of the analysis, representative for the city, show statistically significant differences between wage determinants of men and women. The survey concluded in 2 statements: (1) family role is an important wage determinant and its inclusion to Mincer’s Wage Regression leads to better explanation of wages; and (2) including family characteristics in Oaxaca-Blinder decomposition can significantly reduce unexplained part of gender wage gap, i.e., a part of a wage difference usually ascribed to gender wage discrimination can be explained by different preferences of men and women on a labor market.
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Iocca, Elizabeth. "Gender Wage Gap." Journal of the American Dental Association 148, no. 9 (September 2017): 630. http://dx.doi.org/10.1016/j.adaj.2017.07.015.

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Hallward-Driemeier, Mary, Bob Rijkers, and Andrew Waxman. "Can Minimum Wages Close the Gender Wage Gap?" Review of Income and Wealth 63, no. 2 (November 18, 2015): 310–34. http://dx.doi.org/10.1111/roiw.12219.

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Antecol, Heather, and Kelly Bedard. "The Racial Wage Gap." Journal of Human Resources XXXIX, no. 2 (2004): 564–83. http://dx.doi.org/10.3368/jhr.xxxix.2.564.

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MADSEN, JAKOB B. "Wage Gap and Technology." Kyklos 47, no. 1 (February 1994): 95–108. http://dx.doi.org/10.1111/j.1467-6435.1994.tb02251.x.

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Robinson, Bill. "THE REAL WAGE GAP." Economic Outlook 10, no. 10 (July 1986): 1–4. http://dx.doi.org/10.1111/j.1468-0319.1986.tb00108.x.

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Ognjenovic, Kosovka. "Gender wage gap in Serbia: Inheritance and sources of the wage gap." Stanovnistvo 59, no. 2 (2021): 123–41. http://dx.doi.org/10.2298/stnv2102123o.

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The aim of this paper is to determine the size, structure, and significance of the differences in wages between men and women during the early transition in Serbia in the 2000s. During that period, a new legislative framework was established in the field of labour relations, which enabled greater liberalisation in the labour market and resulted in a reduction in the activity rate, especially of women. Following the experiences of other post-transition countries, it may be expected that economic and social changes caused by the transitional shocks may stimulate different behaviours in the labour market of both the employers, through their impact on determination of wages, and the labour force, through workers? choice to remain or to permanently exit the labour market. This could affect not only the deepening of gender differences, but also the emergence of discrimination in wage setting. The paper applies the parametric sample selection model, on the basis of which the probability of women?s participation in the labour market is estimated, as well as the wage functions of men and women. Data from the Living Standards Measurement Survey for 2002 and 2007 are used. Theoretically expected results are obtained; children and marital status with a negative sign, and sources of non-working income with a positive sign influence the probability of women?s participation in the labour force. The estimated equations of wages of men and women indicate differences in the structure of wages, which provides the basis for the application of the statistical procedure for the decomposition of the gender wage gap. Examination of the initial hypothesis revealed the presence of a significant gender wage gap, which was the largest in 2002 (10.96%), falling to 5.97% in 2007. The gender wage gap in Serbia cannot be explained by the differences in the observed characteristics of men and women, since they act in the direction of reducing the overall gap and their effect is stable, amounting to between -5.51% (2002) and -5.43% (2007). Therefore, the decline in the gender wage gap is the result of reducing the gap in the unexplained part from 17.43% (2002) to 12.06% (2007). Over the observed period, the unexplained part of the gender wage gap remains persistent and leaves room for consideration of the potential effects of discrimination and possible directions of public policy.
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Fields, Judith, and Edward N. Wolff. "Interindustry Wage Differentials and the Gender Wage Gap." Industrial and Labor Relations Review 49, no. 1 (October 1995): 105. http://dx.doi.org/10.2307/2524915.

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Fields, Judith, and Edward N. Wolff. "Interindustry Wage Differentials and the Gender Wage Gap." ILR Review 49, no. 1 (October 1995): 105–20. http://dx.doi.org/10.1177/001979399504900107.

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Using data from the March 1988 Current Population Survey, the authors find that the wages of female workers differ significantly by industry, even when the analysis controls for workers' productivity-related characteristics. Although these interindustry wage differentials are at least as large as men's and are highly correlated with them as well, there are statistically significant differences between the two. Of the overall gender wage gap (the average female worker earns about 65% as much as the average male worker), 12–22% can be explained by differences between the patterns of interindustry wage differentials of men and women and 15–19% by differences in the distribution of male and female workers across industries. Thus, the combined industry effects explain about one-third of the overall gender wage gap.
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Dissertations / Theses on the topic "Wage gap"

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Tuc, Mis Sine. "Informal Sector Wage Gap In Turkey." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613741/index.pdf.

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Informality has been a widespread fact in most of developing countries. Especially after the implementation of liberalization policies in the 1980s, informal sector has expanded, and informal employment has been more attractive in the Turkish economy. The aim of this thesis is to examine whether there is wage gap between formal and informal employment in Turkey for the years 2007 and 2008. In order to test if the determinants of wages are different, selection corrected wage equations are estimated for manufacturing and service sectors for men and women separately by using the Household Labor Force Survey micro level data of TURKSTAT. We also estimated Multinomial Logit model in order to be able to take the sector selection process into account. According to our estimation results, there was a significant wage gap between formal and informal employment in Turkey for the years 2007 and 2008, even after controlling for a number of individual-specific characteristics. This indicates the existence of the segmented labor market in terms of wages in Turkey, as it is asserted by the number of researchers arguing against the neo-classical labor market theory.
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Zhou, Yu. "Occupational Skills and Gender Wage Gap." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/83563.

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This dissertation consists of three essays studying the occupational wages, skills, and gender wage gap in U.S. and other OECD countries. The analysis especially focuses on how the gender differences in skill levels and skill returns could explain the gender wage gaps and changes. The first chapter outlines the dissertation by briefly discussing the motivations, methods, and main findings in each of the following chapters. Chapter 2 focuses on the well-documented wage and employment polarizations in the U.S.. The occupations moving into the lower tail ("in" occupations) have more immigrant workers, more part-time workers, and less female workers. In addition, the wage gaps between domestic/immigrant, full-time/part-time, and male/female workers are also larger in "in" occupations. The opposite facts hold true in the occupations moving out of the lower tail ("out" occupations). Utilizing the regional differences, we also find stronger spillover effect from high-wage occupations to the "out" occupations than the effect to the "in" occupations. Chapter 3 investigates how gender differences in skills beyond education and experience can account for the observed gender wage gap and its changes between 1980 and 2015 by using data from the Dictionary of Occupational Titles (DOT) and the Occupational Information Network (O*NET). The main empirical finding is that female workers possess much higher level of caring skills, and the returns to caring skills are significantly negative but have increased over time, accounting for a major part of the persistent gender wage gap and the narrowing gender wage gap from 1980 to 2015. Another significant portion of the narrowed gender wage gap can be attributed to the faster growth in female workers' average directness skills and the fact that the returns to directness skills are significantly positive and stable over time. In the last chapter, we document significant cross-country variation in gender wage gaps among OECD countries by using the data from Survey of Adult Skills (PIAAC). We find significant cross-country variation in the gender differences in returns. The gender differences in returns to basic labor and experience are the most important factors in explaining the gender wage gap. In addition, gender differences in returns to cognitive and directness skills are playing milder but substantial roles in explaining the wage gap. We also find the social institutions and attitudes indicators are related to the cross-country variation in gender differences.
Ph. D.
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Gonzalez, Pablo. "Essays on wage differentials and wage formation." Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242947.

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Malmberg, Åsa. "Evaluating the gender wage gap in Sweden." Thesis, Uppsala University, Department of Economics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7654.

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Using mainly quantile regressions, this paper evaluates the gender wage gap throughout the conditional wage distribution in Sweden. The gender wage is found to increase at the upper tail of the wage distribution, indicating an enforcement of the glass ceiling effect recorded in earlier studies.

The results also indicate that the earlier noted trend of diminishing wage differences at the bottom of the wage distribution now is turning. The increase of overall wage inequalities coincides with a general increase in wage dispersion among high-income and low-income individuals. It is also noted that there are substantial differences in returns to productivity characteristics between the public and the private sectors, and that both the highest and the lowest unexplained gender wage gap is found in the public sector.

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Alksnis, Christine. "Sexism, stereotyping, and the gender wage gap." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ55614.pdf.

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Andersen, Jaime. "The gender wage gap : exploring the explanations." Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/760.

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Rickardsson, Jonna, and Josefine Göthberg. "The Gender Wage Gap : - among Swedish municipalities." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Economics, Finance and Statistics, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-26897.

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Though successively decreasing over time, gender wage gaps are still large in all western countries. When gender wage gaps exist, there is an unequal distribution of economic power between men and women. This paper examines variables that significantly relate to the differences in the size of the gender wage gap across Swedish municipalities. With data gathered from Statistics Sweden and the Swedish Social Insurance Agency for the year 2011, a series of OLS regressions are performed. By examining what variables are statistically related to variations in the gender wage gap over municipalities, for example, average wage, human capital, gender segregation and work absence, the aim is to further contribute to the field of gender economics. The results in this paper show that the gender wage gap exists in all 290 Swedish municipalities. It varies greatly with women earning only 56 percent of men’s wages in Danderyd to women earning 87 percent of men’s wages in Haparanda. In municipalities where average wages are high the gender wage gap is large. Long-term illness and lowered capacity to work are strong factors negatively affecting the gender wage gap. In municipalities where women are more affected by long-term illness and lowered capacity to work than men the gender wage gap is larger. Furthermore, there is a significant relation between the gender wage gap and human capital. The gender wage gap is larger in municipalities where a large share of the population has a higher education.
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Vilares, Hugo F. E. "The sources of the union wage gap." Master's thesis, NSBE - UNL, 2013. http://hdl.handle.net/10362/11605.

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Stec, Boguslawa Aleksandra, and Raneem Jisri. "The gender wage gap in Italy : Study on the changes in the wage gap during the period of financial crisis." Thesis, Jönköping University, Internationella Handelshögskolan, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-49184.

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Everywhere around the world, whether in developing or developed countries, women earn less than men. This phenomenon is in no way new and it has been investigated for many years. Still, in today’s modern society, the wage gap does not appear to be closing. In times of economic instability, such as the economic crisis, the progress towards equality may be pushed back, since specific groups, sectors, and occupations may be affected differently. Therefore, the purpose of this study is to investigate the Italian gender wage gap with a closer look at the fluctuations during the period of the financial crisis. In order to analyse and understand the fluctuations of the pay gap, the three main theories used in the research are the human capital theory, occupational segregation, and theories regarding the labour market structure. By applying the Oaxaca-Blinder decomposition method, this study analyses to what extent the gap could be explained by differences in observable characteristics, such as level of education or age, and how much remains unexplained. The empirical model is applied to the Italian Survey of Household Income and Wealth (SHIW) microdata between the period of 2002 and 2016. The main findings show that the Italian gender wage gap, for the most part, remains unexplained. This indicates that the differentials in pay cannot be accounted for by differences in observable characteristics, such as education, age, contract type. The results of this research show that the Italian wage gap was, to some extent, negatively affected by the financial crisis. Furthermore, implemented austerity measures were found not to have significant negative impacts on the gap, which only increased in the initial phase of the crisis.
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Franks, Tiffany Wright David W. "Gender and the wage gap: still not equal /." Diss., A link to full text of this thesis in SOAR, 2007. http://soar.wichita.edu/dspace/handle/10057/1132.

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Thesis (M.A.)--Wichita State University, College of Liberal Arts and Sciences, Dept. of Sociology.
"May 2007." Title from PDF title page (viewed on Dec. 20, 2007). Thesis adviser: David W. Wright. Includes bibliographic references (leaves 28-30).
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Books on the topic "Wage gap"

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Christina, Fisanick, ed. The wage gap. Detroit: Greenhaven Press, 2008.

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Oostendorp, R. H. Globalization and the gender wage gap. Washington, D.C: World Bank, 2004.

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James P. Smith - undifferentiated. The wage gap and comparable worth. Santa Monica, CA: Rand, 1985.

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Napari, Sami. The early career gender wage gap. London: Centre for Economic Performance, London School of Economics and Political Science, 2006.

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Barth, Erling. Monopsonistic discrimination and the gender wage gap. Cambridge, MA: National Bureau of Economic Research, 1999.

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Bernard, Andrew B. Exporters, skill upgrading, and the wage gap. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1994.

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Daly, Anne Elizabeth. The gender wage gap in four countries. Bonn, Germany: IZA, 2006.

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Statistics Canada. Analytical Studies Branch., ed. The persistent gap: New evidence on the Canadian gender wage gap. Ottawa: Statistics Canada, Income Statistics Division, 2001.

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Gannon, Brenda. Inter-industry wage differentials and the gender wage gap: Evidence from European countries. Bonn, Germany: IZA, 2005.

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Napari, Sami. Essays on the gender wage gap in Finland. [Helsinki]: ETLA, 2008.

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Book chapters on the topic "Wage gap"

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Leszko, Magdalena. "Wage Gap." In Encyclopedia of Gerontology and Population Aging, 1–6. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69892-2_206-1.

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Leszko, Magdalena. "Wage Gap." In Encyclopedia of Gerontology and Population Aging, 5381–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-22009-9_206.

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Marjit, Sugata, and Rajat Acharyya. "Trade Liberalization and Symmetric Wage-Gap." In Contributions to Economics, 53–60. Heidelberg: Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-57422-1_4.

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Krugman, Paul. "The real wage gap and employment." In The French Economy, 51–83. New York: Routledge, 2022. http://dx.doi.org/10.4324/9780429311055-3.

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Wolf, Elke. "Does the part-time wage gap matter?" In What Hampers Part-Time Work?, 59–96. Heidelberg: Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-57374-3_3.

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Marjit, Sugata, and Rajat Acharyya. "Trade, Skill Formation and the Wage-Gap." In Contributions to Economics, 131–51. Heidelberg: Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-57422-1_9.

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Barth, Erling. "Monopsonistic Discrimination and the Gender Wage Gap." In The New Palgrave Dictionary of Economics, 9109–16. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_3010.

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Barth, Erling. "Monopsonistic Discrimination and the Gender Wage Gap." In The New Palgrave Dictionary of Economics, 1–8. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/978-1-349-95121-5_3010-1.

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Ma, Xinxin. "Ownership Sector and the Gender Wage Gap." In Female Employment and Gender Gaps in China, 65–89. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6904-7_4.

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Schifman, Laura, Rikki Oden, and Carolyn Koestner. "Gender Wage Gap: Causes, Impacts, and Ways to Close the Gap." In Encyclopedia of the UN Sustainable Development Goals, 1–11. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-70060-1_50-1.

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Conference papers on the topic "Wage gap"

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"Wage Discrimination against homosexuals: The role of skills." In Closing the Gender Gap. Purdue University, 2016. http://dx.doi.org/10.5703/1288284316084.

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Antonie, Luiza, Andrew D'Angelo, Gary Grewal, and Miana Plesca. "Analyzing the Gender Wage Gap in Ontario's Public Sector." In 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). IEEE, 2015. http://dx.doi.org/10.1109/icmla.2015.171.

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Paas, Tiiu, and Maryna Tverdostup. "SKILLS HETEROGENEITY AND IMMIGRANTS-NATIVE WAGE GAP IN EUROPEAN COUNTRIES." In 38th International Academic Conference, Prague. International Institute of Social and Economic Sciences, 2018. http://dx.doi.org/10.20472/iac.2018.038.026.

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Xiang-hua, Yu, and Chen Xue-juan. "An empirical research on China sector wage gap: 1993–2006." In 2010 International Conference on Management Science and Engineering (ICMSE). IEEE, 2010. http://dx.doi.org/10.1109/icmse.2010.5720034.

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BELZIL, CHRISTIAN, and XUELIN ZHANG. "UNEMPLOYMENT, SEARCH AND THE GENDER WAGE GAP: A STRUCTURAL MODEL." In Proceedings of Statistics 2001 Canada: The 4th Conference in Applied Statistics. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2002. http://dx.doi.org/10.1142/9781860949531_0002.

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"On firms’ willingness to pay for female top managerial talent: An analysis of wage spillovers in top management." In Closing the Gender Gap. Purdue University, 2016. http://dx.doi.org/10.5703/1288284316076.

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Shehaj, Esmerelda. "An empirical investigation on the public-private sector wage gap in Albania." In University for Business and Technology International Conference. Pristina, Kosovo: University for Business and Technology, 2015. http://dx.doi.org/10.33107/ubt-ic.2015.23.

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Dewi, Intan, and Fentiny Nugroho. "The Wage Gap for Women Homeworkers and Their Role in Family Resilience." In Proceedings of the 1st Asian Conference on Humanities, Industry, and Technology for Society, ACHITS 2019, 30-31 July 2019, Surabaya, Indonesia. EAI, 2019. http://dx.doi.org/10.4108/eai.30-7-2019.2287569.

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Zhang, Kexin. "An Analysis of Wage Gap Between Chinese State-owned Enterprises and Non-state-owned Enterprises." In 2017 3rd International Conference on Humanities and Social Science Research (ICHSSR 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ichssr-17.2017.94.

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Wan, Shengtong, Yujie Li, and Yi Ren. "The Relationship Between Women Household Activity Hours and the Wage Gap Between Men and Women." In 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.211209.050.

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Reports on the topic "Wage gap"

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Elming, William, Robert Joyce, and Monica Costa Dias. The gender wage gap. Institute for Fiscal Studies, August 2016. http://dx.doi.org/10.1920/bn.ifs.2016.0186.

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Bustelo, Monserrat, Suzanne Duryea, Claudia Piras, Breno Sampaio, Giuseppe Trevisan, and Mariana Viollaz. The Gender Pay Gap in Brazil: It Starts with College Students' Choice of Major. Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003011.

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We herein discuss how college major choice affects gender wage gaps by highlighting the role that STEM majors play in explaining the gender wage gap in a developing country. We focus on a Latin American country where a systematic analysis of the interaction between students choice of college major and the gender wage gap is currently lacking. We take advantage of a very unique dataset of college students from the Universidade Federal de Pernambuco (UFPE), Brazil, to decompose the raw gender gap in hourly wages into one component that can be explained by differences in endowments between men and women as well as a second or residual component that reflects gender differences in the prices of market skills. We implement the commonly applied decomposition approach at the wage distributions mean and a decomposition procedure that considers variations across the wage distribution. Our results reveal that the majors that women and men select explain 50% of the gender wage gap at the mean, and STEM majors contribute to 30% of this difference. When examining different percentiles of the wage distribution, we find that the selection of a major is more important at the middle of the distribution than at the bottom or top.
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Hakobyan, Shushanik, and John McLaren. NAFTA and the Gender Wage Gap. W.E. Upjohn Institute, April 2017. http://dx.doi.org/10.17848/wp17-270.

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Levy, Helen. Health Insurance and the Wage Gap. Cambridge, MA: National Bureau of Economic Research, January 2006. http://dx.doi.org/10.3386/w11975.

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Barth, Erling, and Harald Dale-Olsen. Monopsonistic Discrimination and the Gender-Wage Gap. Cambridge, MA: National Bureau of Economic Research, June 1999. http://dx.doi.org/10.3386/w7197.

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Florez, Luz A., Ligia Melo-Becerra, and Carlos Esteban Posada. Estimating the reservation wage across city groups in Colombia: A stochastic frontier approach. Banco de la República de Colombia, June 2021. http://dx.doi.org/10.32468/be.1163.

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We use the stochastic frontier approach to estimate the reservation wage across different city groups in Colombia. We use the information of GEIH from 2008-2019 of 23 urban cities. We find empirical evidence in favour of the search theory predictions that suggest a positive relation of the reservation wage with the level of education and with the net family labour income. We also find a gender gap in the reservation wage and explore this gap controlling by the level of education and presence of children in the household. Contrary to the results found in the literature, we find that the presence of children reduces the reservation wage of women and men. Finally, we found that the reservation wage increases with the level of development and productivity of the cities, however, qualified workers in low-quality cities present higher reservation wages than median quality cities.
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Lawrence, Kaitlin. The Socialization of Women and the Wage Gap. Portland State University Library, January 2014. http://dx.doi.org/10.15760/honors.52.

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Blau, Francine, and Lawrence Kahn. The Gender Wage Gap: Extent, Trends, and Explanations. Cambridge, MA: National Bureau of Economic Research, January 2016. http://dx.doi.org/10.3386/w21913.

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Cubas, German, Chinhui Juhn, and Pedro Silos. Coordinated Work Schedules and the Gender Wage Gap. Cambridge, MA: National Bureau of Economic Research, December 2019. http://dx.doi.org/10.3386/w26548.

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Parodi, Francesca, Monica Costa Dias, and Robert Joyce. Wage progression and the gender wage gap: the causal impact of hours of work. Institute for Fiscal Studies, February 2018. http://dx.doi.org/10.1920/bn.ifs.2018.bn0223.

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