Abstract
This article presents a novel method of market delineation, which generates virtually isolated residential clusters using data on the spatial distribution of the population. The performance of this approach is evaluated by contrasting it with traditional delineation techniques based on municipal boundaries. The estimation of simple entry models for five industries shows that markets defined using micro-level residence information perform better in terms of reducing cross-border spatial spillovers and predicting the equilibrium number of firms on the market more accurately. Additionally, the estimated entry threshold ratios using this method successfully reflect our expectations based on models consisting of geographically isolated markets, as well as ex-ante knowledge about the investigated industries.
| Original language | English |
|---|---|
| Article number | 109678 |
| Number of pages | 7 |
| Journal | Economics Letters |
| Volume | 198 |
| DOIs | |
| Publication status | Published - Jan 2021 |
Fields of science
- 303010 Health economics
- 502 Economics
- 502002 Labour economics
- 502009 Corporate finance
- 502021 Microeconomics
- 502042 Environmental economics
- 502047 Economic theory
- 504014 Gender studies
- 507016 Regional economy
- 405002 Agricultural economics
- 502001 Labour market policy
- 502003 Foreign trade
- 502010 Public finance
- 502012 Industrial management
- 502013 Industrial economics
- 502018 Macroeconomics
- 502020 Market research
- 502025 Econometrics
- 502027 Political economy
- 502039 Structural policy
- 502046 Economic policy
- 506004 European integration