Skip to main content

Estimation and Statistical Inference

  • Chapter
Poverty and Equity

Part of the book series: Economic Studies in Inequality, Social Exclusion and Well-Being ((EIAP,volume 2))

  • 992 Accesses

Abstract

There exist in the population of interest a number of statistical units. For simplicity, we can think of these units as households or individuals. From an ethical perspective, it is usually preferable to consider individuals as statistical units of interest since it is in the welfare of individuals that we are ultimately interested, but for some purposes (such as the distribution of aggregate household wellbeing) households may also be appropriate statistical units.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

16.7 References

  • Asselin, L.-M, (1984): “Techniques de sondage avec applications á l’Afrique,” Tech. rep., Centre canadien d’études et de coopération internationale, CECI/Gaëtan Morin éditeur.

    Google Scholar 

  • Biewen, M. (2002b): “Measuring Inequality in the Presence of Intra-household Correlation,” Applied Economics Letters, 9, 1003–06.

    Article  Google Scholar 

  • Cochrane, W. (1977); Sampling Techniques, New York; Wiley US, 3rd ed.

    Google Scholar 

  • Cowell, F. (1989); “Sampling Variance and Decomposable Inequality Measures,” Journal of Econometrics, 42, 27–41.

    Article  Google Scholar 

  • Deaton, A. (1998): The Analysis of Household Surveys: A Microeconometric Approach to Development Policy, John Hopkins University Press.

    Google Scholar 

  • Howes, S. and J. Lanjouw (1998): “Does Sample Design Matter for Poverty Rate Comparisons?” Review of Income and Wealth, 44, 99–109.

    Article  Google Scholar 

  • Kennickell, A. and L. Woodburn (1999): “Consistent Weight Design for the 1989, 1992 and 1995 SCFs, and the Distribution of Wealth,” Review of Income and Wealth, 45, 193–215.

    Article  Google Scholar 

  • Schluter, C. and M. Trede (2002a): “Statistical Inference for Inequality and Poverty Measurement with Dependent Data,” International Economic Review, 43, 493–508.

    Article  ADS  Google Scholar 

  • Zheng, B. (2002): “Testing Lorenz Corves with Non-simple Random Samples,” Econometrica, 70, 1235–43.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

(2006). Estimation and Statistical Inference. In: Poverty and Equity. Economic Studies in Inequality, Social Exclusion and Well-Being, vol 2. Springer, Boston, MA. https://doi.org/10.1007/0-387-33318-5_16

Download citation

Publish with us

Policies and ethics