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Accounting for sampling design in the SHIW

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  • Ivan Faiella

    ()
    (Bank of Italy - Economic and Financial Statistics Department)

Abstract

This paper analyses how sampling design affects variance estimates and inference using the data collected by the Survey on Household Income and Wealth (SHIW). The SHIW combines three basic features: stratification, clustering, and weighting to correct for unequal probabilities of selection among sampling units. A model to assess variance is presented and a Jackknife Repeated Replication method is suggested to estimate variance. Empirical evidence shows that: 1) simple random sampling formula for variance underestimates by a factor of between 3 and 2 the estimates that take into account all the design features; 2) the bias of unweighted estimates may be fairly substantial; 3) all these factors can seriously mislead inference based on SHIW data.

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Bibliographic Info

Paper provided by Bank of Italy, Economic Research and International Relations Area in its series Temi di discussione (Economic working papers) with number 662.

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Date of creation: Apr 2008
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Handle: RePEc:bdi:wptemi:td_662_08

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Keywords: Survey Methods;

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Cited by:
  1. Ana Almeida & Rita Biscaya & Anabela Cardoso, 2008. "Measuring the market value of shares and other equity in the Portuguese financial accounts," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 56th ISI Session, Lisbon, August 2007, volume 28, pages 132-155 Bank for International Settlements.
  2. Caterina Giannetti & Marianna Madia & Luigi Moretti, 2014. "Job insecurity and financial distress," Applied Financial Economics, Taylor & Francis Journals, vol. 24(4), pages 219-233, February.
  3. Giarda, Elena, 2013. "Persistency of financial distress amongst Italian households: Evidence from dynamic models for binary panel data," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3425-3434.
  4. Lisa Rodano & L Federico Signorini, 2008. "Measuring the value of micro-enterprises in financial accounts," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 56th ISI Session, Lisbon, August 2007, volume 28, pages 145-155 Bank for International Settlements.
  5. Romina Gambacorta & Maria Iannario, 2012. "Statistical models for measuring job satisfaction," Temi di discussione (Economic working papers) 852, Bank of Italy, Economic Research and International Relations Area.
  6. Ivan Faiella, 2010. "The use of survey weights in regression analysis," Temi di discussione (Economic working papers) 739, Bank of Italy, Economic Research and International Relations Area.

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