Deep Habits
Abstract
This paper generalizes the standard habit-formation model to an environment in which agents form habits over individual varieties of goods as opposed to over a composite consumption good. We refer to this preference specification as deep habit formation. Under deep habits, the demand function faced by individual producers depends on past sales. This feature is typically assumed "ad hoc" in customer-market and brand-switching-cost models. A central result of the paper is that deep habits give rise to countercyclical mark-ups, which is in line with the empirical evidence. This result is important, because "ad hoc" formulations of customer-market and switching-cost models have been criticized for implying procyclical and hence counterfactual mark-up movements. Under deep habits, consumption and wages respond procyclically to government-spending shocks. The paper provides econometric estimates of the parameters pertaining to the deep-habit model. Copyright 2006 The Review of Economic Studies Limited.Download Info
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Article provided by Wiley Blackwell in its journal Review of Economic Studies.
Volume (Year): 73 (2006)
Issue (Month): 1 (01)
Pages: 195-218
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Handle: RePEc:bla:restud:v:73:y:2006:i:1:p:195-218
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Related research
Keywords:Other versions of this item:
- Morten Ravn & Stephanie Schmitt-Grohe & Martin Uribe, 2004. "Deep Habits," NBER Working Papers 10261, National Bureau of Economic Research, Inc.
- Morten O. Ravn & Stephanie Schmitt-Grohe, 2004. "Deep Habits," 2004 Meeting Papers 208, Society for Economic Dynamics.
- Ravn, Morten O. & Schmitt-Grohé, Stephanie & Uribe, Martín, 2004. "Deep Habits," CEPR Discussion Papers 4269, C.E.P.R. Discussion Papers.
- D10 - Microeconomics - - Household Behavior - - - General
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- D42 - Microeconomics - - Market Structure and Pricing - - - Monopoly
- E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
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