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An Empirical Analysis of Family Cost of Children: A Comparison of Ordinary Least Square Regression and Quantile Regression
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2010 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Quantile regression have its advantage properties comparing to the OLS model regression which are full measurement of the effects of a covariate on response, robustness and Equivariance property. In this paper, I use a survey data in Belgium and apply a linear model to see the advantage properites of quantile regression. And I use a quantile regression model with the raw data to analyze the different cost of family on different numbers of children and apply a Wald test. The result shows that for most of the family types and living standard, from the lower quantile to the upper quantile the family cost on children increases along with the increasing number of children and the cost of each child is the same. And we found a common behavior that the cost of the second child is significantly more than the cost of the first child for a nonworking type of family and all living standard families, at the upper quantile (from 0.75 quantile to 0.9 quantile) of the conditional distribution.

Place, publisher, year, edition, pages
2010. , p. 27
Keywords [en]
Quantile regression, OLS regression, Full measurement, Robustness, Equaivariance property, Wald test, family cost on children, tailer behivior
Identifiers
URN: urn:nbn:se:uu:diva-126660OAI: oai:DiVA.org:uu-126660DiVA, id: diva2:325961
Uppsok
Social and Behavioural Science, Law
Supervisors
Available from: 2010-06-28 Created: 2010-06-21 Last updated: 2010-06-28Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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  • de-DE
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  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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