IDEAS home Printed from https://ideas.repec.org/a/bla/asiaec/v25y2011i1p35-54.html
   My bibliography  Save this article

A Case of Sticky Floors: Gender Wage Differentials in Thailand

Author

Listed:
  • Zheng Fang
  • Chris Sakellariou

Abstract

No abstract is available for this item.

Suggested Citation

  • Zheng Fang & Chris Sakellariou, 2011. "A Case of Sticky Floors: Gender Wage Differentials in Thailand," Asian Economic Journal, East Asian Economic Association, vol. 25(1), pages 35-54, March.
    • Handle: RePEc:bla:asiaec:v:25:y:2011:i:1:p:35-54
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Nicodemo, Catia, 2009. "Gender Pay Gap and Quantile Regression in European Families," IZA Discussion Papers 3978, Institute of Labor Economics (IZA).
    2. Martins, Pedro S. & Pereira, Pedro T., 2004. "Does education reduce wage inequality? Quantile regression evidence from 16 countries," Labour Economics, Elsevier, vol. 11(3), pages 355-371, June.
    3. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    4. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    5. Chris Sakellariou, 2004. "The use of quantile regressions in estimating gender wage differentials: a case study of the Philippines," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 1001-1007.
    6. Siphambe, Happy Kufigwa, 2000. "Rates of return to education in Botswana," Economics of Education Review, Elsevier, vol. 19(3), pages 291-300, June.
    7. Pedro Telhado Pereira & Pedro Silva Martins, 2000. "Does education reduce wage inequality? Quantile regressions evidence from fifteen European countries," Nova SBE Working Paper Series wp379, Universidade Nova de Lisboa, Nova School of Business and Economics.
    8. Newell, Andrew & Reilly, Barry, 2001. "The gender pay gap in the transition from communism: some empirical evidence," Economic Systems, Elsevier, vol. 25(4), pages 287-304, December.
    9. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    10. Hiau Joo Kee, 2006. "Glass Ceiling or Sticky Floor? Exploring the Australian Gender Pay Gap," The Economic Record, The Economic Society of Australia, vol. 82(259), pages 408-427, December.
    11. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    12. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
    13. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    14. Ganguli, Ina & Terrell, Katherine, 2005. "Wage Ceilings and Floors: The Gender Gap in Ukraine's Transition," IZA Discussion Papers 1776, Institute of Labor Economics (IZA).
    15. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    16. Sara Rica & Juan Dolado & Vanesa Llorens, 2008. "Ceilings or floors? Gender wage gaps by education in Spain," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(3), pages 777-778, July.
    17. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    18. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
    19. Blaise Melly, 2005. "Public-private sector wage differentials in Germany: Evidence from quantile regression," Empirical Economics, Springer, vol. 30(2), pages 505-520, September.
    20. Dileni Gunewardena & Darshi Abeyrathna & Amalie Ellagala & Kamani Rajakaruna & Shobana Rajendran, 2008. "Glass Ceilings, Sticky Floors or Sticky Doors? A Quantile Regression Approach to Exploring Gender Wage Gaps in Sri Lanka," Working Papers PMMA 2008-04, PEP-PMMA.
    21. Pham, Thai-Hung & Reilly, Barry, 2007. "The gender pay gap in Vietnam, 1993-2002: A quantile regression approach," Journal of Asian Economics, Elsevier, vol. 18(5), pages 775-808, October.
    22. Javier Gardeazabal & Arantza Ugidos, 2005. "Gender wage discrimination at quantiles," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(1), pages 165-179, July.
    23. Mueller, Richard E., 1998. "Public-private sector wage differentials in Canada: evidence from quantile regressions," Economics Letters, Elsevier, vol. 60(2), pages 229-235, August.
    24. Chris Sakellariou, 2004. "Gender-Earnings Differentials Using Quantile Regressions," Journal of Labor Research, Transaction Publishers, vol. 25(3), pages 458-468, July.
    25. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    26. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
    27. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Deshpande, Ashwini & Goel, Deepti & Khanna, Shantanu, 2018. "Bad Karma or Discrimination? Male–Female Wage Gaps Among Salaried Workers in India," World Development, Elsevier, vol. 102(C), pages 331-344.
    2. Zheng Fang & Chris Sakellariou, 2013. "Discrimination in the Equilibrium Search Model with Wage-Tenure Contracts," Annals of Economics and Finance, Society for AEF, vol. 14(2), pages 451-480, November.
    3. Tushar Agrawal, 2013. "Are There Glass-Ceiling and Sticky-Floor Effects in India? An Empirical Examination," Oxford Development Studies, Taylor & Francis Journals, vol. 41(3), pages 322-342, September.
    4. Myounghwan Kim & Kihong Park, 2023. "Glass ceiling or sticky floor? Evidence from a distributional approach of the gender wage gap among PhD holders in South Korea," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 37(1), pages 3-19, May.
    5. Avinno Faruk, 2021. "Analysing the glass ceiling and sticky floor effects in Bangladesh: evidence, extent and elements," SN Business & Economics, Springer, vol. 1(9), pages 1-23, September.
    6. Chuang, Hwei-Lin & Lin, Eric S. & Chiu, Shih-Yung, 2018. "The gender wage gap in the financial industry: Evidence from the interindustry ranking," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 246-258.
    7. Shantanu Khanna, 2012. "Gender wage discrimination in India-- Glass ceiling or sticky floor?," Working papers 214, Centre for Development Economics, Delhi School of Economics.
    8. Mamiko Takeuchi, 2019. "Earnings gaps among higher-educated workers withinmain cities insemi-industrializedandnewly industrialized Asian countries," Discussion Papers in Economics and Business 19-06-Rev., Osaka University, Graduate School of Economics, revised Jul 2019.
    9. Myeong-Su Yun & Eric S. Lin, 2015. "Alternative Estimator for Industrial Gender Wage Gaps: A Normalized Regression Approach," Pacific Economic Review, Wiley Blackwell, vol. 20(4), pages 569-587, October.
    10. Stijn Baert & Ann-Sophie De Pauw & Nick Deschacht, 2016. "Do Employer Preferences Contribute to Sticky Floors?," ILR Review, Cornell University, ILR School, vol. 69(3), pages 714-736, May.
    11. Kampon Adireksombat & Zheng Fang & Chris Sakellariou, 2016. "The Evolution Of Gender Wage Differentials In Thailand: 1991–2007 — An Application Of Unconditional Quantile Regression," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(05), pages 1-30, December.
    12. Doruk, Ömer Tuğsal & Pastore, Francesco, 2022. "A Tale of Parallel Processes of Gender (In-)Equality: How Big Is the Glass Ceilings for MENA Women?," IZA Discussion Papers 15152, Institute of Labor Economics (IZA).
    13. Cho, Joonmo & Lee, Tai & Jung, Hanna, 2014. "Glass ceiling in a stratified labor market: Evidence from Korea," Journal of the Japanese and International Economies, Elsevier, vol. 32(C), pages 56-70.
    14. Rahmah Ismail & Maryam Farhadi & Chung†Khain Wye, 2017. "Occupational Segregation and Gender Wage Differentials: Evidence from Malaysia," Asian Economic Journal, East Asian Economic Association, vol. 31(4), pages 381-401, December.
    15. Ismail, Rahmah & Wye, Chung Khain & Mohd Palel, Nur Sabrina, 2017. "Analysis of Glass Ceiling and Sticky Floor Effects for Gender Wage Gap in Malaysian Labour Market," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 51(2), pages 131-142.
    16. Jan Cadil & Martin Kopecky & Tomas Jurcik, 2022. "Job grade camouflage: When low gender pay gap does not mean equal pay," International Journal of Economic Sciences, European Research Center, vol. 11(2), pages 28-47, November.
    17. Herrmann, Tabea & Leckcivilize, Attakrit & Zenker, Juliane, 2021. "The impact of cash transfers on child outcomes in rural Thailand: Evidence from a social pension reform," The Journal of the Economics of Ageing, Elsevier, vol. 19(C).
    18. Hansen, Henrik & Rand, John & Win, Ngu Wah, 2022. "The gender wage gap in Myanmar: Adding insult to injury?," Journal of Asian Economics, Elsevier, vol. 81(C).
    19. Zheng Fang & Chris Sakellariou, 2015. "Glass Ceilings versus Sticky Floors: Evidence from Southeast Asia and an International Update," Asian Economic Journal, East Asian Economic Association, vol. 29(3), pages 215-242, September.
    20. Wan Liyana Mariah Wan Zainal Abidin & Zaleha Mohd Noor & Wan Azman Saini Wan Ngah, 2016. "Exploring the Glass Ceiling and Sticky Floor in Malaysia," Asian Social Science, Canadian Center of Science and Education, vol. 12(6), pages 203-203, June.
    21. Mamiko Takeuchi, 2021. "Determinants of Earnings and Gender Earnings Gaps among Highly Educated Workers within Major Cities in Asian Countries," Asian Economic Journal, East Asian Economic Association, vol. 35(2), pages 166-186, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dileni Gunewardena & Darshi Abeyrathna & Amalie Ellagala & Kamani Rajakaruna & Shobana Rajendran, 2008. "Glass Ceilings, Sticky Floors or Sticky Doors? A Quantile Regression Approach to Exploring Gender Wage Gaps in Sri Lanka," Working Papers PMMA 2008-04, PEP-PMMA.
    2. Zheng Fang & Chris Sakellariou, 2015. "Glass Ceilings versus Sticky Floors: Evidence from Southeast Asia and an International Update," Asian Economic Journal, East Asian Economic Association, vol. 29(3), pages 215-242, September.
    3. Kampon ADIREKSOMBAT & FANG Zheng & Chris SAKELLARIOU, 2010. "The Evolution of Gender Wage Differentials and Discrimination in Thailand: 1991-2007 — An Application of Unconditional Quantile Regression," Economic Growth Centre Working Paper Series 1005, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    4. Heinze, Anja, 2010. "Beyond the mean gender wage gap: Decomposition of differences in wage distributions using quantile regression," ZEW Discussion Papers 10-043, ZEW - Leibniz Centre for European Economic Research.
    5. Muhammad Sabir & Zehra Aftab, 2007. "Dynamism in the Gender Wage Gap: Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(4), pages 865-882.
    6. Aysit Tansel & Fatma Bircan Bodur, 2012. "Wage Inequality and Returns to Education in Turkey: A Quantile Regression Analysis," Review of Development Economics, Wiley Blackwell, vol. 16(1), pages 107-121, February.
    7. Coral Río & Carlos Gradín & Olga Cantó, 2011. "The measurement of gender wage discrimination: the distributional approach revisited," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(1), pages 57-86, March.
    8. Kampon Adireksombat & Zheng Fang & Chris Sakellariou, 2016. "The Evolution Of Gender Wage Differentials In Thailand: 1991–2007 — An Application Of Unconditional Quantile Regression," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(05), pages 1-30, December.
    9. Avinno Faruk, 2021. "Analysing the glass ceiling and sticky floor effects in Bangladesh: evidence, extent and elements," SN Business & Economics, Springer, vol. 1(9), pages 1-23, September.
    10. Ignacio Moral-Arce & Stefan Sperlich & Ana Fernández-Saínz & Maria Roca, 2012. "Trends in the Gender Pay Gap in Spain: A Semiparametric Analysis," Journal of Labor Research, Springer, vol. 33(2), pages 173-195, June.
    11. Etoundi Atenga, Eric Martial & Chameni Nembua, Célestin & Meva Avoulou, Henri Joel, 2013. "Ecarts de salaire entre hommes et femmes au Cameroun : Discrimination ou Capital humain ? Une approche par sous groupes [Gender wage gap : Discrimination or Human Capital? A subgroup approach]," MPRA Paper 64761, University Library of Munich, Germany, revised Aug 2014.
    12. Böheim, René & Himpele, Klemens & Mahringer, Helmut & Zulehner, Christine, 2013. "The distribution of the gender wage gap in Austria : evidence from matched employer-employee data and tax records," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(1), pages 19-34.
    13. Deshpande, Ashwini & Goel, Deepti & Khanna, Shantanu, 2018. "Bad Karma or Discrimination? Male–Female Wage Gaps Among Salaried Workers in India," World Development, Elsevier, vol. 102(C), pages 331-344.
    14. Böheim, René & Himpele, Klemens & Mahringer, Helmut & Zulehner, Christine, 2013. "The distribution of the gender wage gap in Austria : evidence from matched employer-employee data and tax records," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(1), pages 19-34.
    15. Massimiliano Agovino & Antonio Garofalo, 2016. "The Impact of Education on Wage Determination between Workers in Southern and Central-Northern Italy," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 63(1), pages 25-43, March.
    16. Claudio Quintano & Rosalia Castellano & Antonella Rocca, 2010. "Male-female discrimination: an analysis of gender gap and its determinants," Statistica, Department of Statistics, University of Bologna, vol. 70(2), pages 171-190.
    17. Santiago Budria, 2010. "Schooling and the distribution of wages in the European private and public sectors," Applied Economics, Taylor & Francis Journals, vol. 42(8), pages 1045-1054.
    18. Seneviratne, Prathi, 2020. "Gender wage inequality during Sri Lanka’s post-reform growth: A distributional analysis," World Development, Elsevier, vol. 129(C).
    19. Jelena Lausev, 2014. "WHAT HAS 20 YEARS OF PUBLIC–PRIVATE PAY GAP LITERATURE TOLD US? EASTERN EUROPEAN TRANSITIONING vs. DEVELOPED ECONOMIES," Journal of Economic Surveys, Wiley Blackwell, vol. 28(3), pages 516-550, July.
    20. Szilvia Hamori & Anna Lovasz, 2011. "Can a fifty percent increase in public sector wages improve the position of public sector employees in the long run? An assessment of the public-private income gap in Hungary," Budapest Working Papers on the Labour Market 1106, Institute of Economics, Centre for Economic and Regional Studies.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:asiaec:v:25:y:2011:i:1:p:35-54. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/eaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.