Spatial price comparisons rely to a high degree on the quality of the underlying price data that are collected within or across countries. Below the basic heading level, these price data often exhibit large gaps. Therefore,stochastic index number methods like the CPD method and the GEKS method...

Spatial price integration is extensively studied in commodity markets as a means of examining the degree of integration between regions of a geographically diverse market. Many commodity markets that are commonly studied are supported by a well-defined transportation network, such as the network...

Spatial price comparisons rely to a high degree on the quality of the underlying price data that are collected within or across countries. Below the basic heading level, these price data often exhibit large gaps. Therefore, stochastic index number methods like the CPDmethod and the GEKS method...

Agricultural commodity markets in developing countries are characterized by high transaction costs and risks that reduce trade flows among spatial markets. We examine whether institutionalized agricultural commodity exchange markets reduce transaction costs and hence spatial price dispersion...