Optimal Stabilization Rules in a Stochastic Model of Investment with Gestation Lags / John B. Taylor.

By:

Taylor, John B

Contributor(s):

National Bureau of Economic Research

Material type: Text

TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w1225.Publication details: Cambridge, Mass. National Bureau of Economic Research 1983.Description: 1 online resource: illustrations (black and white)Subject(s):

E - Macroeconomics and Monetary Economics

Online resources:

Available additional physical forms:

Hardcopy version available to institutional subscribers

Abstract: This paper considers the problem of calculating optimal policy rules to stabilize fluctuations in investment in an economy where firms' investment behavior can be described by a dynamic optimization model. In the optimization model, the dynamics of investment are generated by heterogeneous gestation lags between the start and completion of capital projects, rather than by adjustment costs in the installation of capital. A procedure is derived for calculating policy rules for an arbitrary autoregressive process generating fluctuations in firms sales. Through stochastic simulation we investigate the effects of using certain suboptimal policy rules in cases where there are constraints against using the optimal rules.

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Item type	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Working Paper	Biblioteca Digital	Colección NBER	nber w1225 (Browse shelf(Opens below))	Not For Loan

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November 1983.

This paper considers the problem of calculating optimal policy rules to stabilize fluctuations in investment in an economy where firms' investment behavior can be described by a dynamic optimization model. In the optimization model, the dynamics of investment are generated by heterogeneous gestation lags between the start and completion of capital projects, rather than by adjustment costs in the installation of capital. A procedure is derived for calculating policy rules for an arbitrary autoregressive process generating fluctuations in firms sales. Through stochastic simulation we investigate the effects of using certain suboptimal policy rules in cases where there are constraints against using the optimal rules.