Add to ORKGConsumer/Household Economics, Demand and Price Analysis, Research Methods/ Statistical Methods, imputation methods, multiple imputation, censored prices, protein demand, elasticities,
Missing data is a problem that occurs frequently in survey data. Missing data results in biased esti...
About one-quarter of the individual items tracked under the International Price Program (IPP) of the...
This paper compares methods to remedy missing value problems in survey data. The commonly used metho...
Several imputation approaches under a large sample and different levels of censoring are compared an...
Several imputation approaches using a large sample and different levels of censoring are compared an...
Several imputation approaches using a large sample and different levels of censoring are compared a...
The goal of this paper is to theoretically and empirically demonstrate the consequences of different...
Some nonparametric imputation techniques, including two categories: single imputation and multiple i...
Missing data continues to be one of the main problems in data analysis as it reduces sample represen...
© 2018 Western Agricultural Economics Association. Missing-data problems are common in farmer survey...
Commonly in survey research, multiple, different analyses are conducted by one or more than one res...
Missing data is a common problem which has consistently plagued statisticians and applied analytical...
Missing data are often a problem in social science data. Imputation methods fill in the missing resp...
To measure income inequality with right-censored (top-coded) data, we propose multiple-imputation me...
Incomplete data is a common complication in applied research. In this study, we use simulation to co...
Missing data is a problem that occurs frequently in survey data. Missing data results in biased esti...
About one-quarter of the individual items tracked under the International Price Program (IPP) of the...
This paper compares methods to remedy missing value problems in survey data. The commonly used metho...
Several imputation approaches under a large sample and different levels of censoring are compared an...
Several imputation approaches using a large sample and different levels of censoring are compared an...
Several imputation approaches using a large sample and different levels of censoring are compared a...
The goal of this paper is to theoretically and empirically demonstrate the consequences of different...
Some nonparametric imputation techniques, including two categories: single imputation and multiple i...
Missing data continues to be one of the main problems in data analysis as it reduces sample represen...
© 2018 Western Agricultural Economics Association. Missing-data problems are common in farmer survey...
Commonly in survey research, multiple, different analyses are conducted by one or more than one res...
Missing data is a common problem which has consistently plagued statisticians and applied analytical...
Missing data are often a problem in social science data. Imputation methods fill in the missing resp...
To measure income inequality with right-censored (top-coded) data, we propose multiple-imputation me...
Incomplete data is a common complication in applied research. In this study, we use simulation to co...
Missing data is a problem that occurs frequently in survey data. Missing data results in biased esti...
About one-quarter of the individual items tracked under the International Price Program (IPP) of the...
This paper compares methods to remedy missing value problems in survey data. The commonly used metho...