IDEAS home Printed from https://ideas.repec.org/p/bou/wpaper/2017-04.html

An Investigation of Labor Income Profiles in Turkey

Author

Listed:
  • Emrehan Aktug
  • Tolga Umut Kuzubas
  • Orhan Torul

Abstract

No abstract is available for this item.

Suggested Citation

  • Emrehan Aktug & Tolga Umut Kuzubas & Orhan Torul, 2017. "An Investigation of Labor Income Profiles in Turkey," Working Papers 2017/04, Bogazici University, Department of Economics.
    • Handle: RePEc:bou:wpaper:2017/04
    as

    Download full text from publisher

    File URL: http://www.econ.boun.edu.tr/public_html/RePEc/pdf/201704.pdf
    File Function: First version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Inoue, Atsushi, 2008. "Efficient estimation and inference in linear pseudo-panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 449-466, January.
    2. Rupert, Peter & Zanella, Giulio, 2015. "Revisiting wage, earnings, and hours profiles," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 114-130.
    3. Ozan EKSİ & Murat KIRDAR, 2015. "Emek Gelirlerinin ve Eşitsizliğinin Türkiye için bir Analizi: 2002-2011," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 30(353), pages 09-44.
    4. David Lagakos & Benjamin Moll & Tommaso Porzio & Nancy Qian & Todd Schoellman, 2018. "Life Cycle Wage Growth across Countries," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 797-849.
    5. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
    6. Emmanuel Saez & Gabriel Zucman, 2016. "Editor's Choice Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 519-578.
    7. François Gardes & Greg J, Duncan & Patrice Gaubert & Christophe Starzec, 2002. "Panel and Pseudo-Panel Estimation of Cross-Sectional and Time Series Elasticities of Food Consumption : The Case of American and Polish Data," Working Papers 2002-02, Center for Research in Economics and Statistics.
    8. Rob Alessie & Annamaria Lusardi & Trea Aldershof, 1997. "Income And Wealth Over The Life Cycle Evidence From Panel Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 43(1), pages 1-32, March.
    9. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    10. Aleksandra Kolasa, 2012. "Life cycle income and consumption patterns in transition," NBP Working Papers 133, Narodowy Bank Polski.
    11. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    12. Attanasio, Orazio P & Browning, Martin, 1995. "Consumption over the Life Cycle and over the Business Cycle," American Economic Review, American Economic Association, vol. 85(5), pages 1118-1137, December.
    13. Gardes, Francois & Duncan, Greg J. & Gaubert, Patrice & Gurgand, Marc & Starzec, Christophe, 2005. "Panel and Pseudo-Panel Estimation of Cross-Sectional and Time Series Elasticities of Food Consumption: The Case of U.S. and Polish Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 242-253, April.
    14. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
    Full references (including those not matched with items on IDEAS)

    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. Emrehan Aktuğ & Tolga Umut Kuzubaş & Orhan Torul, 2021. "Heterogeneity in labor income profiles: evidence from Turkey," Empirical Economics, Springer, vol. 60(5), pages 2557-2587, May.
    2. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
    3. Dang,Hai-Anh H. & Lanjouw,Peter F., 2013. "Measuring poverty dynamics with synthetic panels based on cross-sections," Policy Research Working Paper Series 6504, The World Bank.
    4. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2018. "Territorial and individual educational inequality: A Capability Approach analysis for Italy," Economic Modelling, Elsevier, vol. 71(C), pages 247-262.
    5. Lavin, Felipe Vasquez & Bratti, Luna & Orrego, Sergio & Barrientos, Manuel, 2020. "Assessing the Use of Pseudo-panels to Estimate the Value of Statistical Life in Developing Countries," EfD Discussion Paper 20-20, Environment for Development, University of Gothenburg.
    6. Hai‐Anh H. Dang & Peter F. Lanjouw, 2023. "Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross Sections," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 599-622, June.
    7. Artūras Juodis, 2018. "Pseudo Panel Data Models With Cohort Interactive Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 47-61, January.
    8. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    9. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2019. "“Gold Miss†or “Earthy Mom†? Evidence from Thailand," PIER Discussion Papers 110, Puey Ungphakorn Institute for Economic Research.
    10. Fateh Belaïd & Christophe Rault & Camille Massié, 2022. "A life-cycle theory analysis of French household electricity demand," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 501-530, April.
    11. Katharina GASSNER, 1998. "An Estimation of UK Telephone Access Demand Using Pseudo-Panel Data," Cahiers de Recherches Economiques du Département d'économie 9817, Université de Lausanne, Faculté des HEC, Département d’économie.
    12. Dolores Collado, M., 1997. "Estimating dynamic models from time series of independent cross-sections," Journal of Econometrics, Elsevier, vol. 82(1), pages 37-62.
    13. Rumman Khan, 2021. "Assessing Sampling Error in Pseudo‐Panel Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 742-769, June.
    14. Ortiz, Rodrigo & Fernandez, Viviana, 2022. "Business perception of obstacles to innovate: Evidence from Chile with pseudo-panel data analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    15. D'Amato, Alessio & Giaccherini, Matilde & Zoli, Mariangela, 2019. "The Role of Information Sources and Providers in Shaping Green Behaviors. Evidence from Europe," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    16. Beatriz Muriel & Horacio Vera, 2015. "The Effects of Economic Growth on Earnings in Bolivia," Development Research Working Paper Series 08/2015, Institute for Advanced Development Studies.
    17. McKenzie, D.J.David J., 2004. "Asymptotic theory for heterogeneous dynamic pseudo-panels," Journal of Econometrics, Elsevier, vol. 120(2), pages 235-262, June.
    18. Neagu, Ileana Cristina, 2009. "Career placement of skilled migrants in the U.S. labor market : a dynamic approach," Policy Research Working Paper Series 4891, The World Bank.
    19. Qingfeng Li & Amy O. Tsui, 2016. "Maternal Risk Exposure and Adult Daughters’ Health, Schooling, and Employment: A Constructed Cohort Analysis of 50 Developing Countries," Demography, Springer;Population Association of America (PAA), vol. 53(3), pages 835-863, June.
    20. Mattoo, Aaditya & Neagu, Ileana Cristina & Özden, Çağlar, 2012. "Performance of skilled migrants in the U.S.: A dynamic approach," Regional Science and Urban Economics, Elsevier, vol. 42(5), pages 829-843.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bou:wpaper:2017/04. 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: Lutfu Gozgucu (email available below). General contact details of provider: https://edirc.repec.org/data/deboutr.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.