collected, allowing us to build a series that is more comparable over time, and most of our analysis will be
based on them. However, as a robustness check, we replicate our regression equations using the Deininger
and Squire data. Unfortunately these two datasets on income inequality overlap only partially, and
therefore the results are not directly comparable.
Table la — Descriptive statistics for main variables — sample means by countries
|
country__________ |
ginil |
gini2 |
p9010 |
ls1 |
ur_____ |
ben |
|
Australia |
32.83 |
38.08 |
2.83 |
0.49 |
5.32 |
0.22 |
|
Belgium |
27.75 |
26.81 |
2.34 |
0.52 |
6.64 |
0.41 |
|
Canada |
36.03 |
31.32 |
4.24 |
0.53 |
7.42 |
0.26 |
|
Denmark |
32.86 |
32.08 |
2.17 |
0.55 |
5.01 |
0.44 |
|
Finland |
21.76 |
29.77 |
2.45 |
0.51 |
5.68 |
0.25 |
|
France |
38.33 |
42.13 |
3.44 |
0.52 |
6.52 |
0.30 |
|
Germany |
36.22 |
31.23 |
2.84 |
0.54 |
3.85 |
0.29 |
|
Italy |
34.71 |
34.67 |
2.33 |
0.46 |
6.07 |
0.05 |
|
Japan |
na |
34.86 |
3.06 |
0.51 |
2.20 |
0.11 |
|
Korea |
na |
34.18 |
3.97 |
0.41 |
na |
na |
|
Netherlands |
28.55 |
28.54 |
2.61 |
0.55 |
5.11 |
0.45 |
|
New Zealand |
27.23 |
34.06 |
3.03 |
0.48 |
2.91 |
0.31 |
|
Norway |
22.64 |
34.75 |
2.08 |
0.48 |
2.73 |
0.23 |
|
Sweden |
47.12 |
31.69 |
2.10 |
0.58 |
3.17 |
0.19 |
|
United kingdom |
27.52 |
25.98 |
3.27 |
0.58 |
6.31 |
0.22 |
|
United states |
37.58 |
35.49 |
4.16 |
0.58 |
5.86 |
0.12 |
|
Total |
33.98 |
32.56 |
3.03 |
0.52 |
5.00 |
0.26 |
Table lb — Descriptive statistics for variables in the dataset — sample means
|
Variable |
Obs |
Mean |
Std.Dev. |
Min |
Max |
|
gini1 |
236 |
33.981 |
7.295 |
19.900 |
54.300 |
|
p9010 |
315 |
3.028 |
0.690 |
1.953 |
4.640 |
|
ls1 |
651 |
52.060 |
5.419 |
32.268 |
64.909 |
|
ur |
593 |
4.999 |
3.324 |
0.000 |
16.800 |
|
ben |
600 |
0.257 |
0.142 |
0.003 |
0.670 |
|
udnet |
585 |
0.427 |
0.181 |
0.099 |
0.911 |
|
minim |
704 |
0.667 |
0.275 |
0.241 |
1.000 |
|
edu |
656 |
9.603 |
1.799 |
3.457 |
12.876 |
|
kpw |
528 |
10.187 |
0.512 |
7.646 |
11.173 |
|
tw |
566 |
0.492 |
0.125 |
0.237 |
0.831 |
|
oil |
689 |
4.436 |
2.498 |
-0.333 |
10.991 |
Legend:
ginil = Gini index on personal income distribution, from Brandolini 2003
p90l0 = ratio between 90th and l0th percentile in earnings distribution, from OECD
lsl = labour share on value added at market price, from OECD-Stan database
ur = unemployment rate, from Nickell-Nunziata 200l
ben = unemployment benefit, from OECD 200l
udnet = union density, from Nickell-Nunziata 200l
minim = ratio of minimum wage to median wage, from OECD
edu = average years of schooling of population 25 and over, whether studying or not, from Cohen and Soto 200l
kpw = (log of) capital per worker, from Summer and Heston l99l, updated with mark 5.6 of the Penn tables
tw = tax wedge, from Nickell-Nunziata 200l
oil = (log of) oil price in national currency, from IMF Financial Statistics
l4
More intriguing information
1. Natural hazard mitigation in Southern California2. The name is absent
3. ALTERNATIVE TRADE POLICIES
4. Spectral density bandwith choice and prewightening in the estimation of heteroskadasticity and autocorrelation consistent covariance matrices in panel data models
5. Non-farm businesses local economic integration level: the case of six Portuguese small and medium-sized Markettowns• - a sector approach
6. The name is absent
7. Migration and employment status during the turbulent nineties in Sweden
8. A COMPARATIVE STUDY OF ALTERNATIVE ECONOMETRIC PACKAGES: AN APPLICATION TO ITALIAN DEPOSIT INTEREST RATES
9. Estimating the Impact of Medication on Diabetics' Diet and Lifestyle Choices
10. The name is absent