Flexible Nonlinear Inference with Endogenous Explanatory Variables

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초록

Hamilton's (2001) flexible nonlinear inference is not valid with endogenous explanatory variables. Hence, this paper proposes a framework to approach endogeneity problems in the flexible non-linear inference. We develop two estimation procedures, namely, joint estimation and two-step estimation procedures. The parameters in both models can be estimated by maximum likelihood or numerical Bayesian method. Our approach can be used in handling endogeneity and nonlinearity in the oil-macro relationship or in the monetary policy rule.

키워드

Control function approachEndogeneityNonlinear flexible inferenceTwo-step procedure
제목
Flexible Nonlinear Inference with Endogenous Explanatory Variables
저자
Kim, Dong Heon
발행일
2015
유형
Article
저널명
Seoul Journal of Economics
28
3
페이지
311 ~ 323