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This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed initial conditions problem, as well as the...
Persistent link: https://www.econbiz.de/10010271244
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This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed "initial conditions problem," as well as the...
Persistent link: https://www.econbiz.de/10003824296
Persistent link: https://www.econbiz.de/10003553298
This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed quot;initial conditions problem,quot; as well...
Persistent link: https://www.econbiz.de/10012764470
This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed "initial conditions problem," as well as the...
Persistent link: https://www.econbiz.de/10014075292
Persistent link: https://www.econbiz.de/10000790806
Persistent link: https://www.econbiz.de/10000790807
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