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MARKET STRUCTURE AND ENTRY: WHERE'S THE BEEF? - CEPR

MARKET STRUCTURE AND ENTRY: WHERE'S THE BEEF? - CEPR

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the same way as the actions of the other strategic player. We have not gone beyond 1995<br />

in part for reasons of data availability and in part because the CJD (“mad cow”) beef<br />

scare is likely to have affected all players’ plans and consumption in 1996. Also, Wimpy<br />

might by then be argued to be (potentially at least) a strategic player in the local drive-<br />

through market.<br />

3.3. Data<br />

Briefly, the basic data on store locations and openings comes, in McDonalds’<br />

case, entirely from the company itself. These data are very high quality and very useful<br />

for other reasons. For example they establish that exit is a very unusual phenomenon;<br />

less than 1% of all the stores ever opened in the UK have closed. In the case of Burger<br />

King, the data come from more of a variety of sources, although we do have a complete<br />

listing of stores in 1995. Again, exit is unusual, though more common than for McD.<br />

The basic data on the demographic and other characteristics of local authority<br />

districts come from Regional Trends, the only consistent source of annual data at this<br />

level of aggregation. These two data sources (on outlets and on demographics) are<br />

matched using a Midas “Postzon” package based on UK postcodes. A third source (the<br />

“AA”’s “A to B”) gives distances between districts. More detail on construction of each<br />

of the variables, including definitions, sources and problems, is given in the Data<br />

Appendix, available on request.<br />

The estimation sample consists of five annual observations each for 452 districts<br />

- we exclude Northern Ireland, all small islands apart from the Isle of Wight, and three<br />

London boroughs (see footnote 5). For each such district market, we observe the<br />

geographical area and population, the proportion of under-16s and pensioners, the council<br />

tax rate, average wage rate, and unemployment rate. We also observe the market<br />

11

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