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In economic situations where action entails a fixed cost, inaction is the norm. Action is taken infrequently, and adjustments are large when they occur. Interest in economic models that exhibit ''lumpy'' behavior of this kind has exploded in recent years, spurred by growing evidence that it is typical in many important economic decisions, including price setting, investment, hiring, durable goods purchases, and portfolio management.


In The Economics of Inaction, leading economist Nancy Stokey shows how the tools of stochastic control can be applied to dynamic problems of decision making under uncertainty when fixed costs are present. Stokey provides a self-contained, rigorous, and clear treatment of two types of models, impulse and instantaneous control. She presents the relevant results about Brownian motion and other diffusion processes, develops methods for analyzing each type of problem, and discusses applications to price setting, investment, and durable goods purchases.


This authoritative book will be essential reading for graduate students and researchers in macroeconomics.

Table of Contents

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  1. Cover
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  1. Title Page, Copyright
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  1. Contents
  2. pp. v-viii
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  1. Preface
  2. pp. ix-x
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  1. 1. Introduction
  2. pp. 1-14
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  1. Part 1. Mathematical Preliminaries
  1. 2. Stochastic Processes, Brownian Motions, and Diffusions
  2. pp. 17-29
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  1. 3. Stochastic Integrals and Ito’s Lemma
  2. pp. 30-52
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  1. 4. Martingales
  2. pp. 53-74
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  1. 5. Useful Formulas for Brownian Motions
  2. pp. 75-106
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  1. Part 2. Impulse Control Models
  1. 6. Exercising an Option
  2. pp. 109-128
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  1. 7. Models with Fixed Costs
  2. pp. 129-152
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  1. 8. Models with Fixed and Variable Costs
  2. pp. 153-175
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  1. 9. Models with Continuous Control Variables
  2. pp. 176-196
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  1. Part 3. Instantaneous Control Models
  1. 10. Regulated Brownian Motion
  2. pp. 199-224
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  1. 11. Investment: Linear and Convex Adjustment Costs
  2. pp. 225-250
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  1. Part 4. Aggregation
  1. 12. An Aggregate Model with Fixed Costs
  2. pp. 253-282
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  1. A: Continuous Stochastic Processes
  2. pp. 283-289
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  1. B: Optional Stopping Theorem
  2. pp. 290-294
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  1. References
  2. pp. 295-302
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  1. Index
  2. pp. 303-308
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