Temat: measurement unit - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: To Misreport or not to report? The Case of the Italian Survey on Household Income and Wealth
Autorzy:: Neri, Andrea
Rannalli, M. Giovanna
Powiązania:: https://bibliotekanauki.pl/articles/466032.pdf
Data publikacji:: 2011
Wydawca:: Główny Urząd Statystyczny
Tematy:: Unit Nonresponse
Measurement Error
Auxiliary Information
Subsampling
Imputation
Opis:: The objective of the paper is to adjust for the bias due to unit nonresponse and measurement error in survey estimates of total household financial wealth. Sample surveys are a useful source of information on household wealth. Yet, survey estimates are affected by nonsampling errors. In particular, when it comes to household wealth, unit nonresponse and measurement error can severely bias the estimates. Using the Italian Survey on Household Income and Wealth, we exploit the available auxiliary information in order to assess the magnitude of such a bias. We find evidence that for this kind of surveys, nonsampling errors are a major issue to deal with, possibly more serious than sampling errors. Moreover, in the case of SHIW the potential bias due to measurement error seems to outweigh by far that induced by nonresponse.
Źródło:: Statistics in Transition new series; 2011, 12, 2; 281-300
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Small Area Prediction under Alternative Model Specifications
Autorzy:: Erciulescu, Andreea L.
Fuller, Wayne A.
Powiązania:: https://bibliotekanauki.pl/articles/465723.pdf
Data publikacji:: 2016
Wydawca:: Główny Urząd Statystyczny
Tematy:: unit level model
parametric bootstrap
double bootstrap
measurement error
auxiliary information
Opis:: Construction of small area predictors and estimation of the prediction mean squared error, given different types of auxiliary information are illustrated for a unit level model. Of interest are situations where the mean and variance of an auxiliary variable are subject to estimation error. Fixed and random specifications for the auxiliary variables are considered. The efficiency gains associated with the random specification for the auxiliary variable measured with error are demonstrated. A parametric bootstrap procedure is proposed for the mean squared error of the predictor based on a logit model. The proposed bootstrap procedure has smaller bootstrap error than a classical double bootstrap procedure with the same number of samples.
Źródło:: Statistics in Transition new series; 2016, 17, 1; 9-24
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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