Errors of Indices in Household Surveys of Punjab Urban through Principal Components

In this research article, household wealth indices are calculated to estimate the sampling errors, which gave us complete information on quality and reliability of published data upon surveys. Estimates based simple random sampling, contains errors. Here principal components analysis (PCA) standard errors as orthogonal transformation develop solid measures individual economic status. These evaluate significance explain living status dissimilarity Punjab urban. Instrumental variables used here enlightened social urban area Pakistan by using PCA Twenty-five included in study. Total variance explains variation total components. A comparison study approaches estimating error survey presented paper. We conclude that surveys through PCA, when compared direct indices, an efficient reliable method.