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2 edition of Estimating wealth effects without expenditure data-- or tears found in the catalog.

Estimating wealth effects without expenditure data-- or tears

Deon Filmer

Estimating wealth effects without expenditure data-- or tears

an application to educational enrollments in states of India

by Deon Filmer

  • 227 Want to read
  • 18 Currently reading

Published by World Bank in Washington, DC .
Written in English

    Places:
  • India.
    • Subjects:
    • Wealth -- India.,
    • Education -- India.

    • Edition Notes

      StatementDeon Filmer, Lant Pritchett.
      SeriesPolicy research working paper ;, 1994, Policy research working papers ;, 1994.
      ContributionsPritchett, Lant.
      Classifications
      LC ClassificationsHG3881.5.W57 P63 no. 1994
      The Physical Object
      Pagination38 p. :
      Number of Pages38
      ID Numbers
      Open LibraryOL6885880M
      LC Control Number00500462

      Never purchase expensive items on impulse. Think over each expensive purchase for at least 24 hours. Acting on this principle will mean you have far fewer regrets about impulse purchases, and far more money for emergency savings. D. Filmer, L. PritchettEstimating wealth effects without expenditure data–or tears: an application to educational enrollments in states of India Demography, 38 (), pp. Google ScholarCited by: 7. Working Papers 4/ housing wealth effect have however been mixed. To the best of my knowledge, no previous studies on forest wealth effects on consumption have been performed. In this study, the empirical estimation of wealth effects is conducted using cross-sectional household level data obtained from the Household Wealth Survey.


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Estimating wealth effects without expenditure data-- or tears by Deon Filmer Download PDF EPUB FB2

Filmer, D. and L. Pritchett. “Estimating Wealth Effects Without Expenditure Data—Or Tears: With an Application to Educational Enrollments in States of India.” World Bank Policy Research Working PaperDevelopment Economics Cited by: Estimating wealth effects without expenditure data--or tears: an application to educational enrollments in states of India.

Filmer D(1), Pritchett LH. Author information: (1)Development Research Group, World Bank, H Street NW, Washington, DCUSA. [email protected] by: ESTIMATING WEALTH EFFECTS WITHOUT EXPENDITURE DATA-OR TEARS: AN APPLICATION TO EDUCATIONAL ENROLLMENTS IN STATES OF INDIA* DEON FILMER AND LANT H.

PRITCHETT Using data from India, we estimate the relationship between household wealth and children s school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors.

They do not necessarily represent the views of the World Bank, its Executive Directors, or the countries they represent. Estimating Wealth Effects without Expenditure Data-- or Tears: An Application to Educational Enrollments in States of.

Download Citation | Estimating Wealth Effects Without Expenditure Data - or Tears. An Application to Educational Enrollments in States of India | Using data from India, we estimate the. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol.

38(1), pagesFebruary. Filmer, Deon*Pritchett, Lant, "Estimating Estimating wealth effects without expenditure data-- or tears book effects without expenditure data - or tears: with an application to educational enrollments in states of India," Policy Research Working Paper SeriesThe World Bank.

Handle: RePEc:wbk:wbrwps Get this from a library. Estimating wealth effects without expenditure data, or tears: an application to educational enrollments in states of India. [Deon Filmer; Lant Pritchett; World Bank. Development Research Group. Poverty and Human Resources.].

Estimating wealth effects without expenditure data - or tears: with an application to educational enrollments in states of India (English) Abstract. This paper Cited by: "Estimating Wealth Effects Without Expenditure of Data - Or Tears: An Application to Enrollments in States of India." Demography (February ).

79 John F. Kennedy Street. Estimating wealth effects without expenditure data. the data required to construct such indices are less demanding and the measure is simpler to calculate.

In most studies the asset-based wealth index is constructed with a standard list of assets comprising household ownership of consumer durables, the characteristics of the household's. Download Limit Exceeded You have exceeded your daily download allowance. Ever since Filmer and Pritchett () suggested how one might “estimate wealth effects without expenditure data – or tears” many authors have utilised asset indices as proxies for expenditure or “socio-economic status” in multiple regressions.

Applications include the study of childhood cognitive development (Paxson and Schady, ), the situation of orphans (Ainsworth and Filmer Cited by: 5. Diarrhea accounts for deaths per year among children younger than 5 years,1 or % of total under-5 mortality.2 These deaths are largely preventable.

An estimated 85% of diarrhea mortality is attributed to unsafe drinking water, inadequate sanitation, and substandard hygiene practices.3 A recent meta-analysis calculated reductions in diarrhea associated with hand-washing promotion Cited by: A Logistic Regression Model to Identify Key Determinants of Poverty Using Demographic and Health Survey Data.

Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To. Filmer, D & Pritchett, LH () Estimating wealth effects without expenditure data – or tears: an application to educational enrollments in states of India.

Demogra – Filmer, D.; Pritchett, L.H. Estimating wealth effects without expenditure data—Or tears: An application to educational in states of India. Demography38, – [ Google Scholar ] [ PubMed ]Author: Castro N. Gichuki, Jiqin Han, Tim Njagi. Estimating wealth effects without expenditure data – or tears: An application to educational enrolments in States of India.

World Bank Policy Research Working Paper No. Cited by: 9. Filmer, D. and Pritchett, L.H. () Estimating wealth effects without expenditure dataor tears: An application to educational enrollments in States of India.

Demography, 38, Filmer, Deon, and Lant H. Pritchett. Estimating Wealth Effects without Expenditure Data-or Tears: An Application to Educational Enrollments in States of India. Demography – [Google Scholar] Fuchs, Regina, Elsie Pamuk, and Wolfgang Lutz. Education or Wealth: Which Matters Most for Reducing Child Mortality in Developing Author: Chinedu Miracle Nevo, Stanley Egenti.

Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application to Educational Enrollments in States of India Deon Filmer, Lant H.

Pritchett pp. Estimating Wealth Effects without Expenditure Data--or Tears: An Application to Educational Enrollments in States of India. Policy Research Working Papers No. Filmer, Deon; Pritchett, Lant – Background Children with disabilities are widely believed to be less likely to attend school or access health care, and more vulnerable to poverty.

There is currently little large-scale or internationally comparable evidence to support these claims. The aim of this study was to investigate the impact of disability on the lives of children sponsored by Plan International across 30 by: Ever since Filmer and Pritchett () suggested how one might “estimate wealth effects without expenditure data — or tears” many authors have utilised asset indices as proxies for expenditure or “socio-economic status” in multiple regressions.

Applications include the study of childhood cognitive development (Paxson and Schady. The Structure of Social Disparities in Education [microform]: Gender and Wealth. Policy Research Report Poverty, AIDS, and children's schooling: a targeting dilemma / Martha Ainsworth, Deon Filmer; Estimating Wealth Effects without Expenditure Data [microform]: or.

Estimating wealth effects without expenditure data—or tears: An application to educational enrollments in states of India. Demography, 38(1), – Google Scholar | Medline | ISICited by: 5. Estimating wealth effects without expenditure data—or tears: an application to educational enrollments in states of India.

Demography. ; View in ArticleCited by: DIVERSITY INDICES: SHANNON'S H AND E. Introduction: A diversity index is a mathematical measure of species diversity in a community. Diversity indices provide more information about community composition than simply species richness (i.e., the number of species present); they also take the relative abundances of different species into account (for an illustration of this point, see below, or.

A variable measuring household wealth was created using principal component analysis and used data collected in the survey on the following assets and amenities: ownership of mobile phone, motorcycle, television, refrigerator, cupboard/cabinet, washing machine, bed, clock, sofa, sewing machine, livestock, construction material use for the floor Cited by: 5.

“Estimating wealth effects without expenditure data - or tears: an application to educational enrollments in states India”, Demography, 28(1): Guengant J. No studies have examined distribution, retention and use of maternal and child health (MCH) home-based records (HBRs) in the poorest women in low income countries.

Our primary objective was to compare distribution of the new Afghanistan MCH HBR (the MCH handbook) to the poorest women (quintiles 1–2) with the least poor women (quintiles 3–5). Secondary objectives were to Author: Sayed Ataullah Saeedzai, Iftekhar Sadaat, Zelaikha Anwari, Shafiqullah Hemat, Shakir Hadad, Keiko Os.

Abstract This paper presents a simple new method for measuring ‘wealth effects’ on aggregate consumption. The method exploits the stickiness of consumption growth (sometimes interpreted as reflecting consumption ‘habits’) to distinguish between immediate and eventual wealth effects.

In U.S. data, we estimate that the immediate (next-quarter) marginal propensity to consume from a $1. Estimating Top Income and Wealth Shares: data, then, are predisposed to estimating more concentration at the top relative to a household survey.

The SCF provides good coverage of the entire wealth distribution up to the Forbes fami-lies, which the SCF is precluded from sampling. Filmer D., and Pritchett L., Estimating wealth effects without expenditure data - or tears: An application to educational enrollments in states of india, Demography 38(1) (), [7] Sahn D., and Stifel D., Exploring alternative measures of welfare in the absence of expenditure data, Review of Income and Wealth 49(4) (), [8]Cited by: 2.

We provide the first estimate of the level and distribution of global household wealth. Mean assets and debts within countries are measured, partly or wholly, for 38 countries using household balance sheet and survey data centred on the year Determinants of mean financial assets, non-financial assets, and liabilities are studied empirically, and the results are used to impute values to.

Housing Wealth and Consumption Expenditure regional, and mi-croeconomic data varies, on balance most of the evidence seems consistent with a medium-run (after 3 years or so) housing wealth MPC in the neighborhood of cents. The paper presents its own methodology for estimating the housing The traditional approach to estimating.

Estimating wealth effects without expenditure data – or tears: An application to educational enrollments in states of India. Demography ;38(1) Estimating Wealth Effects without Expenditure Data-or Tears: An Application to Educational Enrollments in States of India.

World Bank Policy Research Working Paper. Gradients across socio-economic position exist for many measures of children's health and development in higher-income countries. These associations may not be consistent, however, among the millions of children living in lower- and middle-income countries.

Our objective was to examine child development and growth in young children across socio-economic position in four developing by:   Estimating wealth effect without expenditure data-or tears: an application to educational enrolments in states of India.

Demography – Fischer, E. and Qaim, M. Cited by: 3. • Survey literature on wealth effects – ECB (Altissimo, F. et al. „Wealth and asset price effects on economic activity“, ECB Occasional Paper Series, no.

29, June ) – IMF (Ludwig,A. et al. „The impact of changes in stock prices and house prices on consumption in. Filmer D, Pritchett LH: Estimating wealth effects without expenditure data--or tears: An application to educational enrollments in states of India.

Demography Cited by: 2.• DHS data includes household wealth & child mortality • On the wealth measure see: – Filmer D, Pritchett LH. Estimating wealth effects without expenditure data--or tears: an application to educational enrollments in states of India.

Demography Feb;38(1)