Do Changes in the Labour Market Take Families Out of Poverty? Determinants of Exiting Poverty in Brazilian Metropolitan Regions
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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 46 (2010)
Issue (Month): 9 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/FJDS20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/FJDS20|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Kajal Lahiri, 2005. "Analysis of Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1093-1095.
- 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.
- 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.
- Ann Huff Stevens, 1995. "Climbing Out of Poverty, Falling Back In: Measuring the Persistence of Poverty over Multiple Spells," NBER Working Papers 5390, National Bureau of Economic Research, Inc.
- Rosholm, Michael, 2001. "An Analysis of the Processes of Labour Market Exclusion and (Re-) Inclusion," IZA Discussion Papers 332, Institute for the Study of Labor (IZA).
- Luis Beccaria & Roxana Maurizio, 2009. "Factors associated to poverty mobility in Greater Buenos Aries," Journal of Income Distribution, Journal of Income Distribution, vol. 18(2), pages 35-69, June.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:taf:jdevst:v:46:y:2010:i:9:p:1503-1522. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.