J
Jinill Kim
Researcher at Korea University
Publications - 87
Citations - 2988
Jinill Kim is an academic researcher from Korea University. The author has contributed to research in topics: Monetary policy & Interest rate. The author has an hindex of 26, co-authored 83 publications receiving 2889 citations. Previous affiliations of Jinill Kim include Sungshin Women's University & Federal Reserve System.
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Calculating and Using Second Order Accurate Solutions of Discrete Time Dynamic Equilibrium Models
TL;DR: In this paper, an algorithm for calculating second order approximations to the solutions to nonlinear stochastic rational expectations models is described, with conditions for local validity of the approximation that allow for disturbance distributions with unbounded support and allow for non-stationarity of the solution process.
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Spurious Welfare Reversals in International Business Cycle Models
Sunghyun Henry Kim,Jinill Kim +1 more
TL;DR: In this paper, the authors show that the conventional linearization, as used in King, Plosser, and Rebelo (1988), can generate approximation errors that can result in welfare reversals.
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Monetary Policy and the Housing Bubble
Jane K. Dokko,Brian M. Doyle,Michael T. Kiley,Jinill Kim,Shane M. Sherlund,Jae Sim,Skander Van den Heuvel +6 more
TL;DR: The authors examined the role of monetary policy in the housing bubble and found that monetary policy may have contributed to the run-up, and subsequent collapse, in house prices, and examined the setting of monetary policies in the middle of this decade.
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Constructing and estimating a realistic optimizing model of monetary policy
TL;DR: In this article, a dynamic stochastic general-equilibrium (DSGE) model with real and nominal, both price and wage, rigidities succeeds in capturing some key nominal features of U.S. business cycles.
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Spurious welfare reversals in international business cycle models
Jinill Kim,Sunghyun Henry Kim +1 more
TL;DR: In this article, the authors show how conventional linearization can generate approximation errors that can result in welfare reversals and propose an approximation method that modifies the conventional linearisation by a bias correction, which can be easily implemented and approximates welfare as accurately as second-order perturbation method.