36(40)
Table B6–B9 present results from when models (5)–(7) are estimated
separately for different geographical regions. The definitions of
geographical areas are taken from the Swedish Association of Local
Authorities and Regions (SKL). “Metropolitan municipalities” are defined
as municipalities with a population of over 200 000 inhabitants, i.e.
Stockholm, Gothenburg and Malmo. “Large cities” (31 municipalities) are
defined as municipalities with 50 000–200 000 inhabitants with more
than 70% of the population living urban areas. “Forest counties” are
sparsely populated counties (consisting of several municipalities) with a
large proportion of forest land. These counties are Värmland, Dalarna,
Gävleborg, Jämtland, Västernorrland, Västerbotten and Norrland excluding
the municipalities in the Large city category. All other municipalities are in
the category “All other areas”.
Tabell B6.
Tooth extraction vs. Basic examination & diagnostics,
performed by dentist. Metropolitan municipalities.
(1)
(2)
(3)
Interaction: K*competition1km
Elasticity
-0.0192*** -0.0193*** -0.0192***
Standard error
(0.00169)
(0.00562)
(0.00562)
Constant
6.703
6.699
6.642
Municipality FE
No
Yes
Yes
Time dummy
No
No
Yes
0.564
0.750
0.795
adj.
0.563
0.711
0.763
4 826
4 826
4 826
Standard errors in parentheses. Standard errors are clustered at the clinic level and
the pooled model is estimated with a public clinic dummy.
*
p
< 0.05,
**
p
< 0.01,
***
p
< 0.001
Tabell B7.
Tooth extraction vs. Basic examination & diagnostics,
performed by dentist. Large cities.
(1)
(2)
(3)
Interaction: K*competition1km
Elasticity
-0.0121*** -0.0121*** -0.0121***
Standard error
(0.00223)
(0.00353)
(0.00353)
Constant
6.724
6.860
6.681
Municipality FE
No
Yes
Yes
Time dummy
No
No
Yes
0.725
0.846
0.883
adj.
0.725
0.823
0.865
4 438
4 438
4 438
Standard errors in parentheses. Standard errors are clustered at the clinic level and
the pooled model is estimated with a public clinic dummy.
*
p
< 0.05,
**
p
< 0.01,
***
p
< 0.001
