Post by Sapphire Capital on Jul 14, 2008 20:18:23 GMT 4
Accounting for Sampling Design in the SHIW
IVAN FAIELLA
Bank of Italy
--------------------------------------------------------------------------------
April 30, 2008
Bank of Italy Temi di Discussione (Working Paper) No. 662
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.
papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1148701_code606534.pdf?abstractid=1148701&mirid=4
IVAN FAIELLA
Bank of Italy
--------------------------------------------------------------------------------
April 30, 2008
Bank of Italy Temi di Discussione (Working Paper) No. 662
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.
papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1148701_code606534.pdf?abstractid=1148701&mirid=4