[원서] William Greene - Maximum Simulated Likelihood Methods and Applica…
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작성일 19-10-11 23:12본문
INTRODUCTION
Simulation-based methods and simulation-assisted estimators have greatly increased the reach of empirical applications in econometrics. The received literature includes a thick layer of theoretical studies, including landmark works by Gourieroux and Monfort (1996), McFadden and Ruud (1994), and Train (2003), and hundreds of applications. An early and still inuential application of the method is Berry, Levinsohn, and Pakes’s (1995) (BLP) application to the U.S. automobile market in
INTRODUCTION
Simulation-based methods and simulation-assisted estimators have greatly increased the reach of empirical applications in econometrics. The received literature includes a thick layer of theoretical studies, including landmark works by Gourieroux and Monfort (1996), McFadden and Ruud (1994), and Train (2003), and hundreds of applicatio…(skip)
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설명
[원서] William Greene - Maximum Simulated Likelihood Methods and Applications (Advances in Econometrics)-Em
[원서] William Greene - Maximum Simulated Likelihood Methods and Applications (Advances in Econometrics)-Em
Download : William Greene Maximum Simulated Likelihood Methods and Applications (Advances in Econometrics) Em.pdf( 75 )
솔루션,기타,솔루션
[원서] William Greene - Maximum Simulated Likelihood Methods and Applications (Advances in Econometrics)-Em , [원서] William Greene - Maximum Simulated Likelihood Methods and Applications (Advances in Econometrics)-Em기타솔루션 , 솔루션
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