managing Multiple imputation can improve data quality.

A country with a surplus river basin cooperates with a country with a deficit river basin in a joint investment project to build a water canal. The benefits from the existence of the canal are realized when cooperation halts and countries will have the opportunity to engage in a non-cooperative water market game. We define an imputation distribution procedure to share the “burden” from cooperat...

This paper presents a framework for the construction of a residential real estate price index for Jamaica. This real estate price index will consist of a sales value-weighted aggregation of price sub-indices across geographical regions or zones. In this study, a hedonic price imputation model for housing in the parishes of Kingston & St. Andrew is estimated using mortgage transaction and assess...

In the Pre-Elementary Education Longitudinal Study (PEELS), imputation of item missing data was done using AutoImpute (AI) software, which uses semi-parametric modeling to form imputation classes. In this paper, we summarize PEELS experience with AI, investigate the bias aspect of the imputed data for the PEELS teacher questionnaire data, and study the variance estimation of imputed data using ...

managing Multiple imputation can improve data quality.

We assess the evolution of consumption inequality in Canada over the years 1997 to 2009. We correct the imputation of shelter consumption for homeowners to allow for unobserved differences in housing quality correlated with selection into rental tenure, and we account for measurement error in this imputation. Using the Surveys of Household Spending 1997-2009, we find that household-level consum...

There has been a growing interest regarding generalized classes of distributions in statistical theory and practice because of their flexibility in model formation.Multiple imputation under such distributions that span a broader area in the symmetry–kurtosis plane appears to have the potential of better capturing real incomplete data trends. In this article, we impute continuous univariate data...

Data about cities is today available from a multitude of sources at high volumes and rates; a multi-disciplinary and cross-sectorial data processing and analysis has become more and more pervasive to better understand urban evolution. Statistical datasets, together with other (big) data related to cities, can be employed to semantically explore and characterize the urban space. In this paper, w...

Some participants in income and labor market surveys fail to report their earnings. If the procedure used to impute missing earnings is biased, then imputation bias is substituted for nonresponse bias. We use data on imputed and reported wages for the same workers, taken from the 1989 change in the CPS processing system, to distinguish and measure three biases in earnings equations: reporting b...