(This abstract was borrowed from another version of this item.)"> (This abstract was borrowed from another version of this item.)">
[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/ipc/wpaper/44.html
   My bibliography  Save this paper

Do Changes in the Labour Market Take Families out of Poverty? Determinants of Exiting Poverty in Brazilian Metropolitan Regions

Author

Listed:
  • Ana Flávia Machado

    (IPC-IG)

  • Rafael Perez Ribas

    (IPC-IG)

Abstract
Using survival models, we test whether short-term changes in the labour market affect poverty duration. Data are from the Brazilian Monthly Employment Survey. Such a monthly dataset permits more accurate estimations of events than using annual data, but its panel follows households for a short period. Then methods that control for both right- and left-censoring should be used. The results are as follows: households with zero income are not those with the lowest chances of exiting; changes in aggregate unemployment do not affect poverty duration; and increasing wages in the informal sector has a negative effect on poverty duration.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Ana Flávia Machado & Rafael Perez Ribas, 2008. "Do Changes in the Labour Market Take Families out of Poverty? Determinants of Exiting Poverty in Brazilian Metropolitan Regions," Working Papers 44, International Policy Centre for Inclusive Growth.
  • Handle: RePEc:ipc:wpaper:44
    as

    Download full text from publisher

    File URL: https://ipcig.org/sites/default/files/pub/en/IPCWorkingPaper44.pdf
    File Function: First version, 2008
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
    2. Kajal Lahiri, 2005. "Analysis of Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1093-1095.
    3. Lorenzo Cappellari & Stephen P. Jemkins, 2002. "Who Stays Poor? Who Becomes Poor? Evidence from the British Household Panel Survey," Economic Journal, Royal Economic Society, vol. 112(478), pages 60-67, March.
    4. Fabio Giambiagi & Samuel Franco, 2007. "O Esgotamento do Papel do Salário Mínimo Como Mecanismo de Combate à Pobreza Extrema," Discussion Papers 1290, Instituto de Pesquisa Econômica Aplicada - IPEA.
    5. Ann Huff Stevens, 1999. "Climbing out of Poverty, Falling Back in: Measuring the Persistence of Poverty Over Multiple Spells," Journal of Human Resources, University of Wisconsin Press, vol. 34(3), pages 557-588.
    6. Rosholm, Michael, 2001. "An Analysis of the Processes of Labour Market Exclusion and (Re-) Inclusion," IZA Discussion Papers 332, Institute of Labor Economics (IZA).
    7. Luis Beccaria & Roxana Maurizio, 2009. "Factors associated to poverty mobility in Greater Buenos Aries," Journal of Income Distribution, Ad libros publications inc., vol. 18(2), pages 35-69, June.
    8. Alessandro Tarozzi & Angus Deaton, 2009. "Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 773-792, November.
    9. Anna Christina D'Addio & Michael Rosholm, "undated". "Left-Censoring in Duration Data: Theory and Applications," Economics Working Papers 2002-5, Department of Economics and Business Economics, Aarhus University.
    10. Ricardo Paes de Barros & Samir Cury & Gabriel Ulyssea, 2007. "A Desigualdade de Renda no Brasil Encontra-se Subestimada? Uma Análise Comparativa com Base na PNAD, na POF e nas Contas Nacionais," Discussion Papers 1263, Instituto de Pesquisa Econômica Aplicada - IPEA.
    11. Gritz, R. Mark, 1993. "The impact of training on the frequency and duration of employment," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 21-51.
    12. Irina Denisova, 2007. "Entry to and Exit from Poverty in Russia: Evidence from Longitudinal Data," Working Papers w0098, Center for Economic and Financial Research (CEFIR).
    13. Rafael Perez Ribas & Ana Flávia Machado, 2007. "Distinguishing Chronic Poverty from Transient Poverty in Brazil: Developing a Model for Pseudo-Panel Data," Working Papers 36, International Policy Centre for Inclusive Growth.
    14. Irina Denisova, 2007. "Entry to and Exit from Poverty in Russia: Evidence from Longitudinal Data," Working Papers w0098, New Economic School (NES).
    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. Santiago Poy, 2023. "In-work poverty dynamics: trigger events and short-term trajectories in Argentina," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-16, December.
    2. Jeyapraba Suresh, 2023. "Poverty is Lack of Capabilities: A Literature Review," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(3), pages 462-476, March.
    3. Haagh, Louise, 2011. "Working Life, Well-Being and Welfare Reform: Motivation and Institutions Revisited," World Development, Elsevier, vol. 39(3), pages 450-473, March.
    4. Camargo, Fernanda S. & Takasago, Milene & Guilhoto, Joaquim José Martins & Farias, Aquiles Rocha de & Imori, Denise & Mollo, Maria de Lourdes Rollemberg & Andrade, Joaquim Pinto de, 2008. "O turismo e a economia brasileira: uma discussão da matriz de insumo-produto [Tourism and the Brazilian economy: a discussion about the input-output matrix]," MPRA Paper 54038, University Library of Munich, Germany.
    5. Jennifer Fernández-Ramos & Ana K. Garcia-Guerra & Jorge Garza-Rodriguez & Gabriela Morales-Ramirez, 2016. "The dynamics of poverty transitions in Mexico," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 43(11), pages 1082-1095, November.
    6. Luis Beccaria & Roxana Maurizio & Ana Fernández & Paula Monsalvo & Mariana Álvarez, 2013. "Urban poverty and labor market dynamics in five Latin American countries: 2003–2008," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(4), pages 555-580, December.
    7. GRIES, Thomas & PALNAU, Irene, 2016. "Distress Beyond Poverty: Spatial Patterns And Geographic Aspects Of Vulnerability In Brazil," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 16(2), pages 53-70.

    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. Luis Beccaria & Roxana Maurizio & Ana Fernández & Paula Monsalvo & Mariana Álvarez, 2013. "Urban poverty and labor market dynamics in five Latin American countries: 2003–2008," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(4), pages 555-580, December.
    2. Fertig Michael & Tamm Marcus, 2010. "Always Poor or Never Poor and Nothing in Between? Duration of Child Poverty in Germany," German Economic Review, De Gruyter, vol. 11(2), pages 150-168, May.
    3. Channing Arndt & Azhar M. Hussain & Vincenzo Salvucci & Finn Tarp & Lars Peter Østerdal, 2016. "Poverty Mapping Based on First‐Order Dominance with an Example from Mozambique," Journal of International Development, John Wiley & Sons, Ltd., vol. 28(1), pages 3-21, January.
    4. Pave Sohnesen,Thomas & Ambel,Alemayehu A. & Fisker,Peter Simonsen & Andrews,Colin & Khan,Qaiser M., 2016. "Small area estimation of child malnutrition in Ethiopian woredas," Policy Research Working Paper Series 7581, The World Bank.
    5. Tarozzi, Alessandro, 2011. "Can census data alone signal heterogeneity in the estimation of poverty maps?," Journal of Development Economics, Elsevier, vol. 95(2), pages 170-185, July.
    6. Pedro H. G. Ferreira de Souza, 2012. "Poverty, Inequality and Social Policies in Brazil, 1995-2009," Working Papers 87, International Policy Centre for Inclusive Growth.
    7. Luc Christiaensen & Peter Lanjouw & Jill Luoto & David Stifel, 2012. "Small area estimation-based prediction methods to track poverty: validation and applications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(2), pages 267-297, June.
    8. Tara Vishwanath & Dhiraj Sharma & Nandini Krishnan & Brian Blankespoor, 2015. "Where are Iraq’s Poor?," World Bank Publications - Reports 22351, The World Bank Group.
    9. Matthieu Clément & Lucie Piaser, 2022. "Geography of Income and Education Inequalities in Mexico: Evidence from Small Area Estimation and Exploratory Spatial Analysis," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(2), pages 703-732, April.
    10. Lovaton Davila, Rodrigo & McCarthy, Aine Seitz & Gondwe, Dorothy & Kirdruang, Phatta & Sharma, Uttam, 2022. "Water, walls, and bicycles: wealth index composition using census microdata," Journal of Demographic Economics, Cambridge University Press, vol. 88(1), pages 79-120, March.
    11. Molina, Isabel & Rao, J.N.K., 2009. "Small area estimation on poverty indicators," DES - Working Papers. Statistics and Econometrics. WS ws091505, Universidad Carlos III de Madrid. Departamento de Estadística.
    12. Francesco Devicienti & Valentina Gualtieri, 2007. "The Dynamics and Persistence of Poverty: Evidence from Italy," LABORatorio R. Revelli Working Papers Series 63, LABORatorio R. Revelli, Centre for Employment Studies.
    13. Niedergesäss, Markus, 2012. "Duration dependence, lagged duration dependence, and occurrence dependence in individual employment histories," University of Tübingen Working Papers in Business and Economics 26, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    14. Marek Gora & Grzegorz Kula & Magdalena Rokicka & Oleksandr Rohozynsky & Anna Ruzik, 2008. "Social Security, Labour Market and Restructuring: Current Situation and Expected Outcomes of Reforms," ESCIRRU Working Papers 5, DIW Berlin, German Institute for Economic Research.
    15. Olga Cantó & Coral del Río & Carlos Gradín, 2007. "What helps households with children in leaving poverty? Evidence from Spain," Research on Economic Inequality, in: Inequality and Poverty, pages 1-29, Emerald Group Publishing Limited.
    16. Giulia Bettin & Claudia Pigini & Alberto Zazzaro, 2020. "Financial inclusion and poverty transitions: an empirical analysis for Italy," Mo.Fi.R. Working Papers 164, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    17. José Lombardía, María & Sperlich, Stefan, 2012. "A new class of semi-mixed effects models and its application in small area estimation," Computational Statistics & Data Analysis, Elsevier, vol. 56(10), pages 2903-2917.
    18. Parodi, Giuliana & Sciulli, Dario, 2012. "Disability and Social Exclusion Dynamics in Italian Households," MPRA Paper 42445, University Library of Munich, Germany.
    19. Anna Giraldo & Enrico Rettore & Ugo Trivellato, 2002. "The persistence of poverty: true state dependence or unobserved heterogeneity? Some evidence from the Italian Survey on Household Income and Wealth," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B2-1, International Conferences on Panel Data.
    20. Rodrigo Arim & Matías Brum & Andrés Dean & Martín Leites & Gonzalo Salas, 2013. "Movilidad de ingreso y trampas de pobreza: nueva evidencia para los países del Cono sur," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 28(1), pages 3-38.

    More about this item

    Keywords

    Duration of poverty spell; Poverty exit; Labour market; Survival models for left-censored data;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    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:ipc:wpaper:44. 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: Andre Lyra (email available below). General contact details of provider: https://edirc.repec.org/data/ipcunbr.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.