IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/7167.html
   My bibliography  Save this paper

Moldova : a story of upward economic mobility

Author

Listed:
  • Davalos, Maria E.
  • Meyer, Moritz

Abstract

During the early 2000s, Moldova experienced strong economic growth and poverty and inequality reductions. This paper aims at uncovering the patterns behind these poverty trends by looking at economic mobility and its associated factors in Moldova. The findings build on the synthetic panel approach and allow for a non-anonymous view of the process of poverty reduction. The data used for this country study on Moldova come from the Household Budget Survey, which is conducted on a yearly basis. The paper presents transition matrices to look at the patterns of economic mobility across selected consumption thresholds, as well as descriptive statistics and a linear probability model aimed at identifying correlates of economic mobility. The findings show that the observed poverty reductions happened with little churning, and highlight the importance of education and employment on upward economic mobility in Moldova in the 2000s, as well as the role of public and private transfers.

Suggested Citation

  • Davalos, Maria E. & Meyer, Moritz, 2015. "Moldova : a story of upward economic mobility," Policy Research Working Paper Series 7167, The World Bank.
    • Handle: RePEc:wbk:wbrwps:7167
    as

    Download full text from publisher

    File URL: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2015/01/20/000158349_20150120143244/Rendered/PDF/WPS7167.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2005. "Imputed welfare estimates in regression analysis," Journal of Economic Geography, Oxford University Press, vol. 5(1), pages 101-118, January.
    2. Jose Cuesta & Hugo Ñopo & Georgina Pizzolitto, 2011. "Using Pseudo‐Panels To Measure Income Mobility In Latin America," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 224-246, June.
    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. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053.
    5. Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2014. "Using repeated cross-sections to explore movements into and out of poverty," Journal of Development Economics, Elsevier, vol. 107(C), pages 112-128.
    6. Cruces, Guillermo & Lanjouw, Peter & Lucchetti, Leonardo & Perova, Elizaveta & Vakis, Renos & Viollaz, Mariana, 2011. "Intra-generational mobility and repeated cross-sections : a three-country validation exercise," Policy Research Working Paper Series 5916, The World Bank.
    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. World Bank Group, 2015. "Poverty and Economic Mobility in the Kyrgyz Republic," World Bank Publications - Reports 22967, The World Bank Group.
    2. World Bank Group, 2016. "Poverty Reduction and Shared Prosperity in Moldova," World Bank Publications - Reports 24734, The World Bank Group.

    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. Himanshu & Peter Lanjouw, 2020. "Income mobility in the developing world: Recent approaches and evidence," WIDER Working Paper Series wp-2020-7, World Institute for Development Economic Research (UNU-WIDER).
    2. Marco Stampini & Marcos Robles & Mayra Sáenz & Pablo Ibarrarán & Nadin Medellín, 2016. "Poverty, vulnerability, and the middle class in Latin America," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 25(1), pages 1-44, December.
    3. Tom Krebs & Pravin Krishna & William F Maloney, 2019. "Income Mobility, Income Risk, and Welfare," The World Bank Economic Review, World Bank, vol. 33(2), pages 375-393.
    4. Mr. Tom Krebs & Mr. Pravin Krishna & Mr. William Maloney, 2013. "Income Mobility and Welfare," IMF Working Papers 2013/024, International Monetary Fund.
    5. Lanjouw Peter, 2020. "Income mobility in the developing world: Recent approaches and evidence," WIDER Working Paper Series wp2020-7, World Institute for Development Economic Research (UNU-WIDER).
    6. Krebs, Tom & Krishna, Pravin & Maloney, William F., 2012. "Income Risk, Income Mobility and Welfare," IZA Discussion Papers 7056, Institute of Labor Economics (IZA).
    7. Peter Lanjouw & Hai-Anh Dang, 2018. "Welfare dynamics in India over a quarter-century: Poverty, vulnerability, and mobility, 1987–2012," WIDER Working Paper Series 175, World Institute for Development Economic Research (UNU-WIDER).
    8. Dang,Hai-Anh H. & Lanjouw,Peter F., 2020. "Welfare Dynamics in India over a Quarter Century : Poverty, Vulnerability, and Mobility during 1987-2012," Policy Research Working Paper Series 9231, The World Bank.
    9. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
    10. Hai-Anh H. Dang & Peter F. Lanjouw, 2023. "Regression-based imputation for poverty measurement in data-scarce settings," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 13, pages 141-150, Edward Elgar Publishing.
    11. Gustavo Canavire-Bacarreza & Marcos Robles, 2017. "Non-parametric analysis of poverty duration using repeated cross section: an application for Peru," Applied Economics, Taylor & Francis Journals, vol. 49(22), pages 2141-2152, May.
    12. François Bourguignon & A. Hector Moreno M., 2020. "On synthetic income panels," Working Papers halshs-01988068, HAL.
    13. Tareq Sadeq & Michel Lubrano, 2018. "The Wall’s Impact in the Occupied West Bank: A Bayesian Approach to Poverty Dynamics Using Repeated Cross-Sections," Econometrics, MDPI, vol. 6(2), pages 1-24, May.
    14. Hai-Anh H. Dang & Peter F. Lanjouw, 2018. "Poverty Dynamics in India between 2004 and 2012: Insights from Longitudinal Analysis Using Synthetic Panel Data," Economic Development and Cultural Change, University of Chicago Press, vol. 67(1), pages 131-170.
    15. Jehovaness Aikaeli & David Garcés‐Urzainqui & Kenneth Mdadila, 2021. "Understanding poverty dynamics and vulnerability in Tanzania: 2012–2018," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 1869-1894, November.
    16. Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar & Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar, 2014. "Updating poverty estimates at frequent intervals in the absence of consumption data : methods and illustration with reference to a middle-income country," Policy Research Working Paper Series 7043, The World Bank.
    17. Nicolas Hérault & Stephen P. Jenkins, 2019. "How valid are synthetic panel estimates of poverty dynamics?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 51-76, March.
    18. Hai‐Anh H. Dang & Elena Ianchovichina, 2018. "Welfare Dynamics With Synthetic Panels: The Case of the Arab World In Transition," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(s1), pages 114-144, October.
    19. Hai‐Anh H. Dang & Peter Lanjouw, 2018. "Welfare dynamics in India over a quarter-century: Poverty, vulnerability, and mobility, 1987-2012," WIDER Working Paper Series wp-2018-175, World Institute for Development Economic Research (UNU-WIDER).
    20. Dang,Hai-Anh H., 2018. "To impute or not to impute ? a review of alternative poverty estimation methods in the context of unavailable consumption data," Policy Research Working Paper Series 8403, The World Bank.

    More about this item

    Keywords

    Rural Poverty Reduction; Achieving Shared Growth; Regional Economic Development; Housing&Human Habitats;
    All these keywords.

    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:wbk:wbrwps:7167. 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: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.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.