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Regional inflation dynamics using space–time models

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  • Helena Marques
  • Gabriel Pino
  • Juan Dios Tena Horrillo

Abstract

This article provides empirical evidence of the role of spatial factors on the determination of inflation dynamics for a representative set of tradable commodities in Chile. We present a simple model that explains inflation divergence across regions in a monetary union with similar preferences as a consequence of the geographical allocation of producers in the different regions. Our results indicate that spatial allocation together with transport costs are important determinants of regional inflation, while macroeconomic common factors do not play an important role in this process. Existing literature had obtained the opposite result for Europe, and the reasons for this difference warrant further investigation. Moreover, we find that geographical distance seems to be a more appropriate measure of neighbourhood than the adjacency of regions. Our results are robust to different specifications, regression methods and product groupings. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Helena Marques & Gabriel Pino & Juan Dios Tena Horrillo, 2014. "Regional inflation dynamics using space–time models," Empirical Economics, Springer, vol. 47(3), pages 1147-1172, November.
    • Handle: RePEc:spr:empeco:v:47:y:2014:i:3:p:1147-1172
    DOI: 10.1007/s00181-013-0763-9
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    Cited by:

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    3. Harry Aginta, 2021. "Spatial dynamics of consumer price in Indonesia: convergence clubs and conditioning factors," Asia-Pacific Journal of Regional Science, Springer, vol. 5(2), pages 427-451, June.
    4. Diego Winkelried & José Enrique Gutierrez, 2015. "Regional inflation dynamics and inflation targeting. The case of Peru," Journal of Applied Economics, Universidad del CEMA, vol. 18, pages 199-224, November.
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    6. Kabukçuoğlu, Ayşe & Martínez-García, Enrique, 2018. "Inflation as a global phenomenon—Some implications for inflation modeling and forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 46-73.
    7. Jun Nagayasu, 2017. "Regional inflation, spatial locations and the Balassa-Samuelson effect: Evidence from Japan," Urban Studies, Urban Studies Journal Limited, vol. 54(6), pages 1482-1499, May.

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    More about this item

    Keywords

    Regional inflation dynamics; Space–time models; Common factors; Chile; E31; E52; E58; R11; C23; C21;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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