Hasumi, Ryo and Iiboshi, Hirokuni (2019): A Bayesian Estimation of HANK models with Continuous Time Approach:Comparison between US and Japan.
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Abstract
Abstract This paper estimates heterogeneous agent New Keynesian (HANK) model for US and Japan through three aggregate observations: real GDP, inflation and interest rate, by adopting combination of easy-to-use computational method for solving the model, developed by Ahn, Kaplan, Moll, Winberry and Wolf (2019), and sequential Monte Carlo (SMC) method with Kalman filter applied for Bayesian estimation with parallel computing. The combination make us enjoy the estimation of HANK just using a Laptop PC, e.g., Mac Book Pro, with MATLAB, neither many-core server computer nor FORTRUN language. We show estimation results of one Asset HANK model, i.e., impulse response, fluctuations of distributions of heterogeneous agent as well as historical decomposition for both countries. Even though using the same model, different data draws different pictures.
Item Type: | MPRA Paper |
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Original Title: | A Bayesian Estimation of HANK models with Continuous Time Approach:Comparison between US and Japan |
English Title: | A Bayesian Estimation of HANK models with Continuous Time Approach: Comparison between US and Japan |
Language: | English |
Keywords: | Heterogeneous Agent model, Linearization, Model Reduction, Bayesian estimation, Sequential Monte Carlo, Kalman Filter |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models E - Macroeconomics and Monetary Economics > E1 - General Aggregative Models > E12 - Keynes ; Keynesian ; Post-Keynesian E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E21 - Consumption ; Saving ; Wealth E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E43 - Interest Rates: Determination, Term Structure, and Effects E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy E - Macroeconomics and Monetary Economics > E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook > E62 - Fiscal Policy |
Item ID: | 92855 |
Depositing User: | Professor Hirokuni Iiboshi |
Date Deposited: | 21 Mar 2019 09:41 |
Last Modified: | 28 Sep 2019 13:15 |
References: | Achdou, Y., Buera, F.J., Lasry, J.-M., Lions, P.-L., (2014) “PDE Models in Macroeconomics,” Philosophical Transactions of the Royal Society A, 372:20130397. http://dx.doi.org/10.1098/rsta.2013.0397 Achdou, Y., Han, J., Lasry, J.-M. Lions, P.-L., Moll, B. (2017) “Income and Wealth Disribution in Macroeconomics: A Continuous-Time Approach,” NBER Working Paper 23732. Ahn, S., Kaplan, G., Moll, B., Winberry, T., Wolf C. (2017) “When Inequality Matters for Macro and Macro Matters for Inequality,” (forthcoming in the NBER Macroeconomics Annual 2018). Algan, Y., Allais, O., den Haan, W.J., Rendahl, P., (2014) “Solving and Simulating Models with Heterogenous Agents and Aggregate Uncertainty,” in Handbook of Computational Economics, Volume 3, edited by , Chapter 6, 277-324. Auclert, A. (2017) “Monetary Polcy and the Redistribution Channel,” NBER Working Paper 23451. Candler G.V. (1998) “Finite-Differrence Methods for Continuous-Time Dynamic Programming,” in Computational Methods for the Study of Dynamic Economies, edited by Ramon Marimon and Andrew Scott, Chap 8, 172-194, Oxford Univ. Press. Fernández-Villaverde, Jesús, Juan F. Rubio-Ramírez, and Frank Schorfheide (2016) “Solution and Estimation Methods for DSGE Models,” in Handbook of Macroeconomics, Volume 2, edited by John B. Taylor and Harald Uhlig, Chapter 9, 527–724. Herbst, E.P., and F. Schorfheide (2016) Bayesain Estimation of DSGE models, Princeton University Press. Kaplan, G., Moll, B., Violante, G. L. (2018) “Monetary Policy According to HANK,” American Economic Review, 108(3) 697-743. Kaplan,G., Violante, G. L. (2014) “A Model of the Consumption Response to Fiscal Stimulus Payments,” Econometrica , 82(4), 1199-1239. Kaplan,G., Violante, G. L. (2018) “Microeconomic Heterogeneity and Macroeconomic Shocks,” Journal of Economic Perspective, 32(3), 167-194. Krusell, P., Smith, A.A., (1998) “Income and Wealth Heterogeneity in the Macroeconomy,” Journal of Political Economy, 106(5), 867-896. McLay, A., Nakamura, E., Steinsoon, J., (2016) “The Power of Forward Guidance Revisited,” American Economic Review, 106(10), 3133-3158. McKay, A., Reis, R., (2013) ”The Role of Automatic Stabilizers in the U.S. Business Cycles,” NBER Working Paper 19000. Mian, A., Kamalesh, R., Amir, S., (2013) “Household Blance Sheets, Comsuption and the Economic Slump,” The Quarterly Journal of Economics, 128(4), 1687-1726. Reiter, M. (2009) “Solving Heterogenous-Agents Models by Projection and Perturbation,” Journal of Economic Dynamics and Control, Vol. 33(3), 649-665. Rotemberg (1982) “Sticky Prices in the United States,” Journal of Political Economy, 90, 1187–1211. Winberry, T. (2018) “A Method for Solving and Estimating Heterogenous Agent Macro models,” (forthcoming) Quantitative Economics |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/92855 |
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A Bayesian Estimation of HANK models with Continuous Time Approach:Comparison between US and Japan. (deposited 22 Feb 2019 10:07)
- A Bayesian Estimation of HANK models with Continuous Time Approach:Comparison between US and Japan. (deposited 21 Mar 2019 09:41) [Currently Displayed]