Impact of household size and family composition on poverty in rural India
This paper utilises micro data on consumption, family composition and land ownership of nearly 70,000 rural Indian households to analyse poverty in rural India. The study, conducted at the disaggregated level of individual States, examines the impact of household size and composition, caste, gender of household head, and size of land ownership on a household’s poverty status. The introduction of consumption economies of household size and of adult/child consumption relativities affect the poverty estimates but not the State poverty rankings. Scheduled castes/tribes are more vulnerable to poverty than others. In contrast, female headed households display, in many States, higher poverty only in the presence of size economies and adult/child relativities. However, the latter result is not always true. On this and in several other respects, the study finds sharp differences between the constituent States of the Indian Union.
(This abstract was borrowed from another version of this item.)
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.
References listed on IDEAS
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.:
- Ringen, Stein, 1991. "Households, Standard of Living, and Inequality," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 37(1), pages 1-13, March.
- Buvinic, Mayra & Gupta, Geeta Rao, 1997. "Female-Headed Households and Female-Maintained Families: Are They Worth Targeting to Reduce Poverty in Developing Countries?," Economic Development and Cultural Change, University of Chicago Press, vol. 45(2), pages 259-80, January.
- Bhanoji Rao, V. V., 1981. "Measurement of deprivation and poverty based on the proportion spent on food: An exploratory exercise," World Development, Elsevier, vol. 9(4), pages 337-353, April.
- Datt, Gaurav & Ravallion, Martin, 1996.
"Why have some Indian states done better than others at reducing rural poverty?,"
Policy Research Working Paper Series
1594, The World Bank.
- Datt, Gaurav & Ravallion, Martin, 1998. "Why Have Some Indian States Done Better Than Others at Reducing Rural Poverty?," Economica, London School of Economics and Political Science, vol. 65(257), pages 17-38, February.
- J. V. Meenakshi & Ranjan Ray, 1999.
"Regional differences in India's food expenditure pattern: a complete demand systems approach,"
Journal of International Development,
John Wiley & Sons, Ltd., vol. 11(1), pages 47-74.
- Meenakshi, J.V. & Ray, R., 1996. "Regional Differences in India's Food Expenditure Pattern: A Complete Demand Systems Approach," Papers 1996-06, Tasmania - Department of Economics.
- Coulter, Fiona A E & Cowell, Frank A & Jenkins, Stephen P, 1992. "Equivalence Scale Relativities and the Extent of Inequality and Poverty," Economic Journal, Royal Economic Society, vol. 102(414), pages 1067-82, September.
- Lanjouw, Peter & Ravallion, Martin & DEC, 1994.
"Poverty and household size,"
Policy Research Working Paper Series
1332, The World Bank.
- Nelson, Julie A, 1988. "Household Economies of Scale in Consumption: Theory and Evidence," Econometrica, Econometric Society, vol. 56(6), pages 1301-14, November.
- Dreze, Jean & Srinivasan, P. V., 1997. "Widowhood and poverty in rural India: Some inferences from household survey data," Journal of Development Economics, Elsevier, vol. 54(2), pages 217-234, December.
- Chaudhuri, Shubham & Ravallion, Martin, 1994. "How well do static indicators identify the chronically poor?," Journal of Public Economics, Elsevier, vol. 53(3), pages 367-394, March.
- Buhmann, Brigitte, et al, 1988. "Equivalence Scales, Well-Being, Inequality, and Poverty: Sensitivity Estimates across Ten Countries Using the Luxembourg Income Study (LIS) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-42, June.
- Pollak, Robert A & Wales, Terence J, 1979. "Welfare Comparisons and Equivalence Scales," American Economic Review, American Economic Association, vol. 69(2), pages 216-21, May.
- Lancaster, Geoffrey & Ray, Ranjan & Valenzuela, Maria Rebecca, 1999. "A Cross-Country Study of Household Poverty and Inequality on Unit Record Household Budget Data," Economic Development and Cultural Change, University of Chicago Press, vol. 48(1), pages 177-208, October.
- Nolan, Brian & Whelan, Christopher T., 1996. "Resources, Deprivation, and Poverty," OUP Catalogue, Oxford University Press, number 9780198287858, December.
When requesting a correction, please mention this item's handle: RePEc:eee:jpolmo:v:24:y:2002:i:6:p:539-559. 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: (Shamier, Wendy)
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.