Previous studies that analyzed multiple imputation using survey data did not take into account the survey sampling design. The objective of the current study is to analyze the impact of survey sampling design missing data imputation, using multivariate multiple imputation method. The results of...

Missing data is a problem that occurs frequently in survey data. Missing data results in biased estimates and reduced efficiency for regression estimates. The objective of the current study is to analyze the impact of missing-data imputation, using multiple-imputation methods, on regression...

Constant research efforts have been undertaken to create and adopt soybean varieties and farming practices that would lead to more drought-tolerant crops. Given that drought-tolerant crops are more stable in terms of price and supply, private genetic companies invest in those genetic materials...

This study reviews articles using regression analysis published in the Journal of Agricultural and Resource Economics from 1994 to 1998 to determine agricultural economists' effectiveness in reporting and conveying research procedures and results. Based on the authors' experience of surveying...

This study used Rosen's methodology of deriving a marginal implicit price series from traditional hedonic modeling and then using this series to estimate a demand model. This procedure was applied to Kansas Hard Red Winter wheat protein. Results were mixed. Own-district protein level was not...