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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Dynamic panel data estimation of an integrated Grossman and Becker-Murphy model of health and addiction
AU - Jones , Andrew M.
AU - Laporte, Audrey
AU - Rice, Nigel
AU - Zucchelli, Eugenio
N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/s00181-017-1367-6
PY - 2019/2
Y1 - 2019/2
N2 - We propose a dynamic panel data approach to estimate a model that integrates the Becker-Murphy theory of rational addiction with the Grossman model of health investment. We define an individual’s lifetime smoking consumption and investments in health capital as simultaneous choices within a single optimisation problem. We show that this can be estimated using GMM system estimation of two stand-alone single fourth-order difference equations of health capital and smoking. These preserve roots and fundamental dynamics of the original system of four interrelated first-order equations. Monte Carlo simulations confirm that this reduced-form dynamic estimation also produces very similar estimates to the ones of the initial system of equations. We argue that, in the presence of long panel data, this approach may provide a feasible alternative for the estimation of a complex life-cycle model of human capital.
AB - We propose a dynamic panel data approach to estimate a model that integrates the Becker-Murphy theory of rational addiction with the Grossman model of health investment. We define an individual’s lifetime smoking consumption and investments in health capital as simultaneous choices within a single optimisation problem. We show that this can be estimated using GMM system estimation of two stand-alone single fourth-order difference equations of health capital and smoking. These preserve roots and fundamental dynamics of the original system of four interrelated first-order equations. Monte Carlo simulations confirm that this reduced-form dynamic estimation also produces very similar estimates to the ones of the initial system of equations. We argue that, in the presence of long panel data, this approach may provide a feasible alternative for the estimation of a complex life-cycle model of human capital.
KW - Addiction
KW - Health capital
KW - Smoking
KW - Dynamic panel data models
U2 - 10.1007/s00181-017-1367-6
DO - 10.1007/s00181-017-1367-6
M3 - Journal article
VL - 56
SP - 703
EP - 733
JO - Empirical Economics
JF - Empirical Economics
SN - 0377-7332
IS - 2
ER -