Demand Systems With Nonstationary Prices
Abstract
Relative prices are nonstationary and standard root-T inference is invalid for demand systems. But demand systems are nonlinear functions of relative prices, and standard methods for dealing with nonstationarity in linear models cannot be used. Demand system residuals are also frequently found to be highly persistent, further complicating estimation and inference. We propose a variant of the Translog demand system, the NTLOG, and an associated estimator that can be applied in the presence of nonstationary prices with possibly nonstationary errors. The errors in the NTLOG can be interpreted as random utility parameters. The estimates have classical root-T limiting distributions. We also propose an explanation for the observed nonstationarity of aggregate demand errors, based on aggregation of consumers with heterogeneous preferences in a slowly changing population. Estimates using US data are provided.Download Info
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Paper provided by Boston College Department of Economics in its series Boston College Working Papers in Economics with number 441.Length: 32 pages
Date of creation: 01 Jan 2000
Date of revision: 07 Jun 2002
Publication status: forthcoming, Review of Economics and Statistics
Handle: RePEc:boc:bocoec:441
Note: Previously circulated as "Nonstationary Aggregate Demand Systems and Heterogeneous Consumers".
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Related research
Keywords: Demand Systems; Nonstationarity; Aggregation; Heterogeneity; Fixed Effects; Translog; Inflation.;Other versions of this item:
- Arthur Lewbel & Serena Ng, 2005. "Demand Systems with Nonstationary Prices," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 479-494, August.
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- D1 - Microeconomics - - Household Behavior
This paper has been announced in the following NEP Reports:
- NEP-ALL-2000-01-31 (All new papers)
- NEP-ETS-2000-01-31 (Econometric Time Series)
References
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