Showing 1 - 10 of 24
While there is a wide consensus in using survey weights when estimating population parameters, it is not clear what to do when using survey data for analytic purposes (i.e. with the objective of making inference about model parameters). In the model-based framework (MB), under the hypothesis...
Persistent link: https://www.econbiz.de/10008562407
Information from the Survey of Italian Household Income and Wealth (SHIW) is not normally used as a basis for regional estimates on account of the small sample size. This paper presents an experimental estimation of regional aggregates for the period 1995-2000, obtained by combining several...
Persistent link: https://www.econbiz.de/10005113541
This paper presents an application of neural network models to predictive classification for data quality control. Our aim is to identify data affected by measurement error in the Bank of Italy�s business surveys. We build an architecture consisting of three feed-forward networks for...
Persistent link: https://www.econbiz.de/10005113573
This paper aims to describe non-respondents in the Bank of Italy�s Survey of Household Income and Wealth (SHIW) and to measure the underestimation of income and wealth attributable to non-response. The evidence confirms that non-response is not random, since it is more frequent among...
Persistent link: https://www.econbiz.de/10005609343
Sample surveys providing high quality information on both total household expenditure (consumption) and income are not commonly available. Nevertheless, surveys focusing on income usually do collect some information on expenditure data. A main drawback of this practice is that it could let some...
Persistent link: https://www.econbiz.de/10011099613
The objective of the paper is to adjust for the bias due to unit non-response 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 non-sampling errors. In...
Persistent link: https://www.econbiz.de/10011099692
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...
Persistent link: https://www.econbiz.de/10005113583
The sample estimates are uniformly below those of the Financial Accounts, even after harmonising all the definitions and the evaluation criteria. Such a problem can stem from the interviewee�s unwillingness to disclose the actual value of the asset (under-reporting). The paper presents a...
Persistent link: https://www.econbiz.de/10005113606
This paper is aimed at evaluating the incidence of measurement error on the main variables collected in the Bank of Italy�s Survey of Household Income and Wealth (SHIW). The results are especially relevant to researchers using the data for economic analysis, since they need to take data...
Persistent link: https://www.econbiz.de/10005113627
The design of a probability sample jointly determines the method used to select sampling units from the population and the estimator of the population parameter. If the sampling fraction is constant for all the units in the sample, then the unweighted sampling mean is an unbiased estimator. In...
Persistent link: https://www.econbiz.de/10005113633