A solution method for consumption decisions in a dynamic stochastic general equilibrium model

Journal of Economic Dynamics and Control

Volumn 24, Issue 5-7, 2000, Pages 1097-1119

  Sefton, J A ^a  

^a NATIONAL INSTITUTE OF ECONOMIC AND SOCIAL RESEARCH   (United Kingdom)

Author keywords

C68; Computational methods; D58; Hetereogeneous agent models; Value function iteration

Indexed keywords

EID: 0346480833     PISSN: 01651889     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1889(99)00038-X     Document Type: Article

References (21)

1. Attanasio, O., Banks, J., Meghir, C., Weber, G., 1995. Humps and bumps in lifetime consumption. Working Paper 5350, National Bureau of Economic Research.
2. Baxter M., Crucini M.J., Rouwenhorst K.G. Solving the stochastic growth model by a discrete-state-space, Euler-equation approach. Journal of Business and Economic Statistics. 8(1):1990;19-21.
3. Blumen, I., Kogan, M., McCarthy, P., 1955. The Industrial Mobility of Labour as a Probability Process. Cornell University Press, Ithaca, NY.
4. Campbell J.Y., Koo H.K. A comparison of numerical methods and analytic approximate solutions to an intertemporal consumption choice problem. Journal of Economic Dynamics and Control. 21:1997;273-296.
5. Champernowne D. A model for income distribution. Economic Journal. 53:1953;318-351.
6. Christiano L.J. Solving the stochastic growth model by linear-quadratic approximation and by value-function iteration. Journal of Business and Economic Statistics. 8(1):1990;23-26.
7. Deaton A. Saving and liquidity constraints. Econometrica. 59:1991;1221-1248.
8. den Haan W.J., Marcet A. Solving the stochastic growth model by parameterizing expectations. Journal of Business and Economic Statistics. 8(1):1990;31-34.
9. Den Haan W.J., Marcet A. Accuracy in simulations. Review of Economic Studies. 61(1):1994;3-17.
10. Dutta, J., Sefton, J., Weale, M., 1997. Income distribution and income dynamics in the United Kingdom. Working paper, National Institute of Economic and Social Research.
11. Hart P. The dynamics of earnings. Economic Journal. 86:1976;551-565.
12. Hubbard, R., Skinner, J., Zeldes, S., 1993. The importance of precautionary motives in explaining individual and aggregate savings. Working Paper 4516, NBER.
13. Hubbard, R.G., Skinner, J., Zeldes, S.P., 1994. The importance of precautionary motives in explaining individual and aggregate saving. Carnegie Rochester Conference Series on Public Policy, Vol. 40 (0), pp. 59-125.
14. Hubbard R.G., Skinner J., Zeldes S.P. Precautionary saving and social insurance. Journal of Political Economy. 103(2):1995;360-399.
15. Keys R. Cubic convolution interpolation for digital image processing. IEEE Transactions of Acoustics, Speech and Signal Processing. 29:1981;1153-1161.
16. King R.G., Plosser C.I., Rebelo S.T. Production, growth and business cycles: I. the basic neoclassical model. Journal of Monetary Economics. 21() 2/3 :1988;195-232.
17. Meade, J., 1976. The Just Economy. George Allen & Unwin, London.
18. Press, W., Teukolsky, S., Vetterling, V., Flannen, B., 1993. Numerical Recipes. Cambridge University Press, Cambridge.
19. Taylor J.B., Uhlig H. Solving nonlinear stochastic growth models: A comparison of alternative solution methods. Journal of Business and Economic Statistics. 8(1):1990;1-17.
20. White H., Domowitz I. Non-linear regression with dependent observations. Econometrica. 52:1984;643-661.
21. Whittle, P., 1990. Risk Sensitive Optimal Control. Wiley, New York.