IMPLICATIONS OF MISSING-DATA IMPUTATION FOR SURVEY DATA: AN APPLICATION TO TECHNOLOGY ADOPTION
Missing-data is a problem that occurs frequently in survey data. Missing-data can result in bias 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 estimates for sur...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
International Journal of Food and Agricultural Economics
2019-10-01
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| Series: | International Journal of Food and Agricultural Economics |
| Subjects: | |
| Online Access: | http://www.foodandagriculturejournal.com/vol7.no4.pp271.pdf |