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An Analysis of the Process of Disinflationary Structural Change: The Case of Mexico

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  • Daniel Vaughan

Abstract

I study the diffusion process of permanent disinflationary shocks in the Mexican economy using disaggregated price data for 283 goods across 46 cities in the period 1995-2012. I first show that the distribution of shocks shows considerable heterogeneity, with more than 80% of all cases having experienced a break. I then show that both the likelihood and timing are spatially correlated across cities, and find a positive and concave relationship between CPI weights and the likelihood and timing of a break. These findings suggest that the process of structural change follows a diffusion process across the spatial and goods dimensions.

Suggested Citation

  • Daniel Vaughan, 2013. "An Analysis of the Process of Disinflationary Structural Change: The Case of Mexico," Working Papers 2013-12, Banco de México.
  • Handle: RePEc:bdm:wpaper:2013-12
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    File URL: http://www.banxico.org.mx/publicaciones-y-discursos/publicaciones/documentos-de-investigacion/banxico/%7B7F28E807-F213-6619-E2D0-7AFDCC585033%7D.pdf
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    References listed on IDEAS

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    1. Crucini, Mario J. & Shintani, Mototsugu, 2008. "Persistence in law of one price deviations: Evidence from micro-data," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 629-644, April.
    2. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    3. Manuel Ramos Francia & Alberto Torres García, 2005. "Reducing Inflation Through Inflation Targeting: The Mexican Experience," Working Papers 2005-01, Banco de México.
    4. Etienne Gagnon, 2009. "Price Setting during Low and High Inflation: Evidence from Mexico," The Quarterly Journal of Economics, Oxford University Press, vol. 124(3), pages 1221-1263.
    5. Emi Nakamura & Jón Steinsson, 2013. "Price Rigidity: Microeconomic Evidence and Macroeconomic Implications," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 133-163, May.
    6. Carlos Capistrán & Manuel Ramos-Francia, 2009. "Inflation Dynamics In Latin America," Contemporary Economic Policy, Western Economic Association International, vol. 27(3), pages 349-362, July.
    7. Daniel Chiquiar & Antonio Noriega & Manuel Ramos-Francia, 2010. "A time-series approach to test a change in inflation persistence: the Mexican experience," Applied Economics, Taylor & Francis Journals, vol. 42(24), pages 3067-3075.
    8. Duarte, Claudia & Rua, Antonio, 2007. "Forecasting inflation through a bottom-up approach: How bottom is bottom?," Economic Modelling, Elsevier, vol. 24(6), pages 941-953, November.
    9. George Kapetanios, 2005. "Unit-root testing against the alternative hypothesis of up to m structural breaks," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(1), pages 123-133, January.
    10. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, January.
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    More about this item

    Keywords

    Structural change; inflation; spatial econometrics; trend-stationary; emerging economy; Mexico;

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • N16 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Latin America; Caribbean
    • N26 - Economic History - - Financial Markets and Institutions - - - Latin America; Caribbean
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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