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Noisy Information, Distance and Law of One Price Dynamics Across US Cities

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  • Mario J. Crucini
  • Mototsugu Shintani
  • Takayuki Tsuruga

Abstract

Using micro price data across US cities, we provide evidence that both the volatility and persistence of deviations from the law of one price (LOP) are positively correlated with the distance between cities. A standard, two-city, equilibrium model with time-varying technology under homogeneous information can predict the relationship between the volatility and distance but not between the persistence and distance. To account for the latter fact, we augment the standard model with noisy signals about the state of nominal aggregate demand that are asymmetric across cities. We further establish that the interaction of imperfect information and sticky prices improves the fit of the model.

Suggested Citation

  • Mario J. Crucini & Mototsugu Shintani & Takayuki Tsuruga, 2012. "Noisy Information, Distance and Law of One Price Dynamics Across US Cities," NBER Working Papers 17815, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:17815
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Mario Crucini & Anthony Landry & Craig Benedict, 2014. "On what states do prices depend? Answers from Ecuador," 2014 Meeting Papers 722, Society for Economic Dynamics.
    2. Choi, Chi-Young & Choi, Horag, 2016. "The role of two frictions in geographic price dispersion: When market friction meets nominal rigidity," Journal of International Money and Finance, Elsevier, vol. 63(C), pages 1-27.
    3. Ryo Okui & Takahide Yanagi, 2018. "Kernel Estimation for Panel Data with Heterogeneous Dynamics," Papers 1802.08825, arXiv.org, revised Mar 2018.
    4. Choi, Chi-Young & Choi, Horag, 2014. "Does distance reflect more than transport costs?," Economics Letters, Elsevier, vol. 125(1), pages 82-86.
    5. Ryo Okui & Takahide Yanagi, 2018. "Panel Data Analysis with Heterogeneous Dynamics," Papers 1803.09452, arXiv.org.
    6. TAKECHI Kazutaka, 2016. "Daily Gravity," Discussion papers 16095, Research Institute of Economy, Trade and Industry (RIETI).
    7. Guo, Zi-Yi, 2017. "Information heterogeneity, housing dynamics and the business cycle," EconStor Preprints 168561, ZBW - German National Library of Economics.
    8. Guo, Zi-Yi, 2017. "Information heterogeneity, housing dynamics and the business cycle," Economics Discussion Papers 2017-17, Kiel Institute for the World Economy (IfW).

    More about this item

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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