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Demand Systems With Nonstationary Prices

Author

Listed:
  • Arthur Lewbel

    (Boston College)

  • Serena Ng

    (Johns Hopkins University)

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.

Suggested Citation

  • Arthur Lewbel & Serena Ng, 2000. "Demand Systems With Nonstationary Prices," Boston College Working Papers in Economics 441, Boston College Department of Economics, revised 07 Jun 2002.
    • Handle: RePEc:boc:bocoec:441
    Note: Previously circulated as "Nonstationary Aggregate Demand Systems and Heterogeneous Consumers".
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    References listed on IDEAS

    as
    1. Ng, Serena, 1995. "Testing for Homogeneity in Demand Systems When the Regressors Are Nonstationary," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 147-163, April-Jun.
    2. Pierre Perron & Serena Ng, 1996. "Useful Modifications to some Unit Root Tests with Dependent Errors and their Local Asymptotic Properties," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(3), pages 435-463.
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    More about this item

    Keywords

    Demand Systems; Nonstationarity; Aggregation; Heterogeneity; Fixed Effects; Translog; Inflation.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • D1 - Microeconomics - - Household Behavior

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