The effect of survey attrition in longitudinal surveys: evidence from Peru, Côte d'Ivoire and Vietnam

Falaris, Evangelos M.

doi:10.1016/s0304-3878(02)00079-2

Cited by 52 publications

(49 citation statements)

References 14 publications

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“…Although this sample attrition rate is not low, it does not significantly bias the statistical estimation in the present study (see Appendix A). This is consistent with previous findings that sample attrition is not a major concern for longitudinal research (Alderman et al 2001;Falaris 2003;Fitzgerald, Gottschalk, and Moffitt 1998). The final analytical sample for this study includes 1,708 women and men.…”

Section: Datasupporting

confidence: 90%

Perceived risk of HIV infection and mental health in rural Malawi

Hsieh¹

2013

DemRes

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Section: Datasupporting

confidence: 90%

Perceived risk of HIV infection and mental health in rural Malawi

Hsieh¹

2013

DemRes

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“…Moreover, we employ an estimation strategies which can resolve many potential biases (including attrition bias) that are due to unobservables. 8 Studies that use longitudinal data from both developed (see Journal of Human Resources 1998 Spring issue) and developing countries (Thomas, Frankenberg and Smith (2001) for IFLS data; Falaris (2003) for LSMS data from Peru, Cote d'Ivoire and Vietnam) …nd that even if demographic variables for attritors and stayers are di¤erent, and there are selective mechanisms working for attrition, the e¤ects of attrition on parameter estimates are mild or non-existent. 9 We also experiment with the most common approach of taking account of attrition bias in our regression estimation.…”

Section: Attritionmentioning

confidence: 99%

Medium‐ and Long‐Term Participation in Microcredit: An Evaluation Using a New Panel Dataset from Bangladesh

Islam

2011

American J Agri Economics

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The objective of this paper is to estimate the impacts of medium-and long-term participation in microcredit programs. It utilises a new and large panel dataset collected from treatment and control households from 1997 to 2005. The data enables us to identify continuing participants in the program as well as newcomers and leavers. We employ di¤erent estimation strategies including triple-di¤erence and propensity score matching methods to control for selection bias. The impact estimates indicate that the bene…ts from microcredit vary more than proportionately with the duration of participation in a program. Larger bene…ts are realized from longer-term participation, and that the bene…ts continue to accrue beyond departure from the program. The …ndings indicate the need to observe longer periods of participation to provide a reliable basis for assessing the e¤ectiveness of microcredit lending.JEL Classi…cation: C21, C33, H43, G21, I31, O12, O16

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“…With regard to human capital, we use the average of schooling years of all adult household members. 13 We consider this to better reflect the stock of human capital of households than education of the household head only, as many heads are relatively old. We control for the hours per week worked in services per employed household member.…”

Section: (Total Difference = Characteristics Effect + Coefficients Efmentioning

confidence: 99%

“…We report the results separately for 13 Years of education were inferred from the level of education obtained. We take the schooling reform of 1989 into consideration, as this increased primary and secondary schooling to last 11 years, up one year from the previous ten.…”

Section: (Total Difference = Characteristics Effect + Coefficients Efmentioning

confidence: 99%

Are Uzbeks Better Off than Kyrgyz? Measuring and Decomposing Horizontal Inequality

Esenaliev

Steiner

2012

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. We investigate horizontal inequality between two conflictive ethnic groups, the Kyrgyz and the Uzbeks in Kyrgyzstan, by employing the Oaxaca-Blinder decomposition. This technique has a long tradition in labour economics but has not been used in the literature that links ethnic inequality and violent conflict. We measure welfare differentials between Kyrgyz and Uzbeks and find that, depending on the welfare indicator used, Uzbeks are either better off or worse off than Kyrgyz. Specifically, we find that Uzbeks are not better off, if welfare is measured in terms of household expenditure. They are, however, clearly more prosperous in terms of the value and the size of their houses -at least in urban areas, where most Uzbeks reside. The picture is mixed when we use ownership of assets as a welfare measure. We conclude that the choice of welfare indicator is essential in studies of horizontal inequality, as it is most likely the more visible aspects of life that drive people's perceptions about other ethnic groups' standard of living. Decomposing welfare differentials between Kyrgyz and Uzbeks shows that the gap in expenditure is due to differences in group characteristics, such as household composition and ownership of livestock, whereas the gap in assets and house values remains unexplained. Terms of use: Documents in

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The effect of survey attrition in longitudinal surveys: evidence from Peru, Côte d'Ivoire and Vietnam

Cited by 52 publications

References 14 publications

Perceived risk of HIV infection and mental health in rural Malawi

Perceived risk of HIV infection and mental health in rural Malawi

Medium‐ and Long‐Term Participation in Microcredit: An Evaluation Using a New Panel Dataset from Bangladesh

Are Uzbeks Better Off than Kyrgyz? Measuring and Decomposing Horizontal Inequality

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