Dynamic modelling of long-term care decisions


Autoria(s): Sovinsky, Michelle; Stern, Steven
Data(s)

2016

Resumo

This paper describes and analyzes research on the dynamics of long-term care and the policy relevance of identifying the sources of persistence in caregiving arrangements (including the effect of dynamics on parameter estimates, implications for family welfare, parent welfare, child welfare, and cost of government programs). We discuss sources and causes of observed persistence in caregiving arrangements including inertia/state dependence (confounded by unobserved heterogeneity) and costs of changing caregivers. We comment on causes of dynamics including learning/human capital accumulation; burnout; and game-playing. We suggest how to deal with endogenous geography; dynamics in discrete and continuous choices; and equilibrium issues (multiple equilibria, dynamic equilibria). We also present an overview of commonly used longitudinal data sets and evaluate their relative advantages/disadvantages. We also discuss other data issues related to noisy measures of wealth and family structure. Finally, we suggest some methods to handle econometric problems such as endogeneous geography. © 2014 Springer Science+Business Media New York.

Identificador

http://eprints.qut.edu.au/73199/

Publicador

Springer

Relação

DOI:10.1007/s11150-013-9236-3

Sovinsky, Michelle & Stern, Steven (2016) Dynamic modelling of long-term care decisions. Review of Economics of the Household, 14(2), pp. 463-488.

Fonte

Science & Engineering Faculty

Tipo

Journal Article