A spatiotemporal analysis of agricultural prices: An application to Colombian data Academic Article

journal

  • Agribusiness

abstract

  • This study focusses on whether the geographical separation of markets constitutes a factor that helps explain the dynamics of agricultural prices. To do this, the authors employ a highly disaggregated dataset for Colombia that consists of weekly observations on wholesale prices for 18 agricultural products traded in markets scattered around the country. The sample period spans almost a decade. According to their results, which are based on generalized impulse response functions, distance (and thus transportation costs) is a factor that helps explain the speed at which prices adjust to shocks in other locations, thus confirming that price adjustments take longer for markets farther apart.

publication date

  • 2013-9-1

edition

  • 29

keywords

  • Agricultural Prices
  • Agricultural Products
  • Colombia
  • Costs and Cost Analysis
  • Datasets
  • Factors
  • Generalized Impulse Response Function
  • Price Adjustment
  • Shock
  • Spatio-Temporal Analysis
  • Transportation Costs
  • Wholesale Prices
  • agricultural price
  • agricultural prices
  • agricultural product
  • agricultural products
  • commodity markets
  • cost
  • costs
  • market
  • markets
  • price
  • sampling
  • spatiotemporal analysis
  • speed

International Standard Serial Number (ISSN)

  • 0742-4477

number of pages

  • 12

start page

  • 497

end page

  • 508