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Non-response in dynamic panel data models
TL;DR: In this paper, the authors emphasize the limits of some tests and procedures, proposed by Little (1988), Diggle (1989), Park and Davis (1993), Taris (1996), and others, to verify the ignorability of the missing data mechanism.
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Abstract: This paper stresses the links that exist between concepts that are used in the theory of model reduction and concepts that arise in the missing data literature. This connection motivates the extension of the missing at random (MAR) and the missing completely at random (MCAR) concepts from a static setting, as introduced by Rubin (1976), to the case of dynamic panel data models. Using this extension of the MAR and MCAR definitions, we emphasize the limits of some tests and procedures, proposed by Little (1988), Diggle (1989), Park and Davis (1993), Taris (1996) and others, to verify the ignorability of the missing data mechanism.
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Citations
Health‐related non‐response in the British Household Panel Survey and European Community Household Panel: using inverse‐probability‐weighted estimators in non‐linear models
TL;DR: In this paper, the authors explored the consequences of health-related attrition for these models and found that while healthrelated attrition exists, it does not appear to distort the magnitudes of the estimated average partial effects of socioeconomic status.
Inference in panel data models under attrition caused by unobservables
TL;DR: In this paper, the problem of identifying and estimating a finite-dimensional parameter in a panel data-model under nonignorable sample attrition has been studied under a quasi-separability assumption, where the moments contain the attrition function as an unknown parameter.
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Moment Estimation With Attrition
TL;DR: In this article, the authors study the effects of the attrition of firms from longitudinal samples on the estimates of dynamic labor demand models and propose flexible attrition models based on a longitudinal generalization of the missing at random assumption.
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How does retirement affect health
TL;DR: It is found that retirement significantly increases the risk of being diagnosed with a chronic condition and raising therisk of developing a cardiovascular disease andBeing diagnosed with cancer.
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