Approach in Identifiability Conditions of DSGE Models With Emphasis on Structural Constraints
Publish place: کنفرانس بین المللی پژوهش های نوین در مدیریت ، اقتصاد ، توانمندی صنعت جهانگردی در توسعه
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICMET01_098
تاریخ نمایه سازی: 7 اسفند 1396
Abstract:
This article is concerned with identification problem of parameters of Dynamic Stochastic General Equilibrium Models with emphasis on structural constraints. We derived a set of identifiability conditions and suggested a procedure for a thorough analysis of identification at each point in the parameters space. The procedure can be applied, before DSGE models are estimated, to determine where identification fails, and where it likely to be weak. We also used a Monte Carlo simulation and studied the effect of restrictions on the estimate. The results show that the use of restrictions for estimation, when identification is reduced, leads us to inaccurate estimates and unreliable inference even when the number of observations is large.
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Authors
Mohammad Taremi
Department of Statistics, Faculty of economics, Allameh Tabataba’i University, Tehran, Iran
Farzad Eskandari
Department of Statistics, Faculty of economics, Allameh Tabataba’i University, Tehran, Iran
M. Bameni Moghadam
Department of Statistics, Faculty of economics, Allameh Tabataba’i University, Tehran, Iran