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Phillips curve with spatial effects based on Russian regional data

Author

Listed:
  • Inozemtsev, E.

    (Bank of Russia, Saratov Regional Division of the Volga-Vyatka Main Branch, Saratov, Russia)

  • Krotova, Yu.

    (Bank of Russia, Saratov Regional Division of the Volga-Vyatka Main Branch, Saratov, Russia)

Abstract

The paper tests the hypothesis of the presence of spatial effects for quarterly CPI in the Russian regions over the period 2015-2021. Contiguity, distance and migration matrices were used for spatial Phillips curve modelling. Due to spatial non-stationarity of the model for the whole Russia, the model was used for estimations separately for western and eastern regions. Panel data testing showed insignificance of the spatial lag of the dependent variable, which casts doubt on the hypothesis of "instant" (within the same period) inflation spillover. Perhaps the key factor here is the frequency of time series data: quarterly or monthly CPI better suit for spatial analysis than annual ones (for which the spatial lag will be significant). Spatial Durbin error model (SDEM) estimation showed that the inflation expectations in neighboring regions negatively impact on inflation in the region in this period. The estimations of the direct effects contribution for n(t - 1), n(t + 1) and indirect effect contribution for n(t - 1) expectedly have positive signs. The sum of estimated coefficients for inflation lags in spatial hybrid Phillips curve is close to 1. The use of a migration matrix for the western regions was unsuccessful, perhaps due to strong distortions introduced by Moscow and the Moscow region into interregional interactions.

Suggested Citation

  • Inozemtsev, E. & Krotova, Yu., 2024. "Phillips curve with spatial effects based on Russian regional data," Journal of the New Economic Association, New Economic Association, vol. 63(2), pages 35-56.
    • Handle: RePEc:nea:journl:y:2024:i:63:p:35-56
    DOI: 10.31737/22212264_2024_2_35-56
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    References listed on IDEAS

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    More about this item

    Keywords

    Phillips curve; inflation; Russian regions; spatial analysis; GMM;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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