Reliability of the Estimates reasons indicated in Chapter i i, the reliability of the estimates for the numerous cells that make up the income total year by year cannot be revealed clearly in a classification based on the character of the underlying data and procedures. To get a quantitative measure the margins of error must be evaluated by those who, being familiar with the estimates, dare to surmise how far wrong they may be. In the first two sections of this chapter we describe in detail the procedure by which the investigators who participated actively in the prepa-ration of the estimates and hence know them best evaluated their margins of error. The evaluation concerns the margin of error that could be assigned to each total for the va...
As survey estimates presented in this publication are based on a sample, they are subject to samplin...
Statistical problems in modelling personal income distributions include estimation procedures, testi...
This open access book demonstrates how data quality issues affect all surveys and proposes methods t...
The reliability of national accounts depends on a great variety of data sources and estimating techn...
The reliability of a test score is usually underestimated and the deflation may be profound, 0.40–0....
This paper provides a systematic overview of the compilation and reliability of national accounts st...
Researchers interested in estimating productivity can choose from an array of methodologies, each wi...
Variables are often measured subject to error, whether they are collected as part of an experiment o...
The design of a poverty measure involves the selection of a set of parameters and poverty figures. ...
There are four main reasons why measures of poverty may not be robust. Sampling error occurs because...
This paper argues that all historical data series should be accompanied by formal estimates of their...
attenuation bias, instrumental variables, double measurements, deconvolution, auxiliary sample JEL C...
Estimation is a branch of statistics that deals with estimating the values of parameters of an under...
This important book assesses the level of unreliability—random measurement error—in individual surve...
This section describes the sample design and selection, the method of estimation, the sampling varia...
As survey estimates presented in this publication are based on a sample, they are subject to samplin...
Statistical problems in modelling personal income distributions include estimation procedures, testi...
This open access book demonstrates how data quality issues affect all surveys and proposes methods t...
The reliability of national accounts depends on a great variety of data sources and estimating techn...
The reliability of a test score is usually underestimated and the deflation may be profound, 0.40–0....
This paper provides a systematic overview of the compilation and reliability of national accounts st...
Researchers interested in estimating productivity can choose from an array of methodologies, each wi...
Variables are often measured subject to error, whether they are collected as part of an experiment o...
The design of a poverty measure involves the selection of a set of parameters and poverty figures. ...
There are four main reasons why measures of poverty may not be robust. Sampling error occurs because...
This paper argues that all historical data series should be accompanied by formal estimates of their...
attenuation bias, instrumental variables, double measurements, deconvolution, auxiliary sample JEL C...
Estimation is a branch of statistics that deals with estimating the values of parameters of an under...
This important book assesses the level of unreliability—random measurement error—in individual surve...
This section describes the sample design and selection, the method of estimation, the sampling varia...
As survey estimates presented in this publication are based on a sample, they are subject to samplin...
Statistical problems in modelling personal income distributions include estimation procedures, testi...
This open access book demonstrates how data quality issues affect all surveys and proposes methods t...