Working Paper: CEPR ID: DP14515
Authors: Julien Martin; Florian Mayneris; Ewane Theophile
Abstract: We use the microdata underlying the Ethiopian CPI to examine the spatial dispersion in local prices and availability of 401 items across 106 cities. Remote cities face higher prices and have access to fewer products. Large cities also face higher individual prices but enjoy access to a wider set of products. To assess the welfare implications of these patterns, we aggregate the data and build spatial cost-of-living indexes that account for both the price of available products and product availability. The cost of living is higher in remote and large cities. Moving from the first to the ninth decile in terms of remoteness (holding population size constant) results in an 8.3% increase in the cost of living. A comparable move in terms of population size (holding remoteness constant) leads to a 4.7% increase in the cost of living.
Keywords: No keywords provided
JEL Codes: R12; O18
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| city size (R12) | individual prices (P22) |
| remoteness (R39) | individual prices (P22) |
| city size (R12) | product availability (L15) |
| remoteness (R39) | product availability (L15) |
| remoteness (R39) | cost of living (J30) |
| city size (R12) | cost of living (J30) |