Attrition in the Kwazulu Natal Income Dynamics Study, 1993-1998
This paper examines attrition in the KwaZulu-Natal Income Dynamics Study (1993–1998) and assesses the extent of attrition bias for a specific empirical example. The analysis shows that 1993 first round nonresponse is largely unrelated to observable characteristics of the communities other than indic...
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
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International Food Policy Research Institute
2000
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| Acceso en línea: | https://hdl.handle.net/10568/155589 |
| _version_ | 1855527769765576704 |
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| author | Maluccio, John A. |
| author_browse | Maluccio, John A. |
| author_facet | Maluccio, John A. |
| author_sort | Maluccio, John A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This paper examines attrition in the KwaZulu-Natal Income Dynamics Study (1993–1998) and assesses the extent of attrition bias for a specific empirical example. The analysis shows that 1993 first round nonresponse is largely unrelated to observable characteristics of the communities other than indicators of migration activity. Multivariate regressions are then used to describe the characteristics of the households attriting in 1998, revealing the importance of distinguishing between two types of attriting households, those that moved and those that apparently moved but left no trace. For example, increased household size reduced the probability of either type of attrition, whereas measures of higher quality of fieldwork in the 1993 survey only reduced the probability that a household left no trace. While observable differences between attritors and non-attritors indicate attrition is nonrandom, it does not necessarily follow that estimated relationships based on the non-attriting sample suffer from attrition bias. To more directly explore attrition bias, which is by its nature model specific, this analysis estimates household-level expenditure functions correcting for attrition bias using standard Heckman selection procedures and a quality of 1993 interview variablesas identifying instruments. There is positive selection, and although many of the other parameter estimates are quite similar, a Hausman test rejects the equality of coefficients between the corrected and uncorrected models. Therefore, this study concludes, at least for this simple case, that attrition does appear to bias the “behavioral” coefficients. |
| format | Artículo preliminar |
| id | CGSpace155589 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2000 |
| publishDateRange | 2000 |
| publishDateSort | 2000 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1555892025-11-06T06:28:50Z Attrition in the Kwazulu Natal Income Dynamics Study, 1993-1998 Maluccio, John A. consumers mathematical models households consumption surveys This paper examines attrition in the KwaZulu-Natal Income Dynamics Study (1993–1998) and assesses the extent of attrition bias for a specific empirical example. The analysis shows that 1993 first round nonresponse is largely unrelated to observable characteristics of the communities other than indicators of migration activity. Multivariate regressions are then used to describe the characteristics of the households attriting in 1998, revealing the importance of distinguishing between two types of attriting households, those that moved and those that apparently moved but left no trace. For example, increased household size reduced the probability of either type of attrition, whereas measures of higher quality of fieldwork in the 1993 survey only reduced the probability that a household left no trace. While observable differences between attritors and non-attritors indicate attrition is nonrandom, it does not necessarily follow that estimated relationships based on the non-attriting sample suffer from attrition bias. To more directly explore attrition bias, which is by its nature model specific, this analysis estimates household-level expenditure functions correcting for attrition bias using standard Heckman selection procedures and a quality of 1993 interview variablesas identifying instruments. There is positive selection, and although many of the other parameter estimates are quite similar, a Hausman test rejects the equality of coefficients between the corrected and uncorrected models. Therefore, this study concludes, at least for this simple case, that attrition does appear to bias the “behavioral” coefficients. 2000 2024-10-24T12:42:19Z 2024-10-24T12:42:19Z Working Paper https://hdl.handle.net/10568/155589 en Open Access application/pdf International Food Policy Research Institute Maluccio, John. 2000. Attrition in the Kwazulu Natal Income Dynamics Study, 1993-1998. FCND Discussion Paper 95. https://hdl.handle.net/10568/155589 |
| spellingShingle | consumers mathematical models households consumption surveys Maluccio, John A. Attrition in the Kwazulu Natal Income Dynamics Study, 1993-1998 |
| title | Attrition in the Kwazulu Natal Income Dynamics Study, 1993-1998 |
| title_full | Attrition in the Kwazulu Natal Income Dynamics Study, 1993-1998 |
| title_fullStr | Attrition in the Kwazulu Natal Income Dynamics Study, 1993-1998 |
| title_full_unstemmed | Attrition in the Kwazulu Natal Income Dynamics Study, 1993-1998 |
| title_short | Attrition in the Kwazulu Natal Income Dynamics Study, 1993-1998 |
| title_sort | attrition in the kwazulu natal income dynamics study 1993 1998 |
| topic | consumers mathematical models households consumption surveys |
| url | https://hdl.handle.net/10568/155589 |
| work_keys_str_mv | AT malucciojohna attritioninthekwazulunatalincomedynamicsstudy19931998 |