Table 2 |
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|
A comparison of coefficients on GDP per capita by IMR transformation |
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|
Country |
Years |
Box-Cox IMR transformation λ = "Best Fit" |
Log IMR transformation λ = 0 |
|
|
|
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|
Coefficient on GDP per capita |
Coefficient on GDP per capita |
Coefficient gap |
||
|
|
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|
Whole sample |
-0.065 *** |
-0.078 ** |
0.013 |
|
|
|
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|
Australia |
1921–1999 |
0.217 *** |
-0.034 ** |
0.251 |
|
|
||||
|
Austria |
1947–1999 |
0.151 *** |
0.079 |
0.072 |
|
|
||||
|
Belgium |
1900–1913 1918–1999 |
-0.070 *** |
-0.09 ** |
0.02 |
|
|
||||
|
Canada |
1921–1999 |
-0.038 *** |
-0.051 ** |
0.013 |
|
|
||||
|
Denmark |
1900–1999 |
-0.057 ** |
-0.06 ** |
0.003 |
|
|
||||
|
Finland |
1900–1999 |
-0.088 *** |
-0.106 ** |
0.018 |
|
|
||||
|
France |
1900–1999 |
-0.084 *** |
-0.11 ** |
0.026 |
|
|
||||
|
Italy |
1900–1999 |
-0.151 *** |
-0.132 ** |
-0.019 |
|
|
||||
|
Japan |
1947–1999 |
-0.020 *** |
0.026 |
-0.046 |
|
|
||||
|
Netherlands |
1900–1999 |
-0.023 *** |
-0.004 |
-0.019 |
|
|
||||
|
New Zealand |
1947–1999 |
0.035 |
0.068 * |
-0.033 |
|
|
||||
|
Norway |
1900–1999 |
-0.004 |
-0.046 ** |
0.042 |
|
|
||||
|
Portugal |
1940–1999 |
-0.366 *** |
-0.233 ** |
-0.133 |
|
|
||||
|
Spain |
1908–1999 |
-0.127 *** |
-0.154 ** |
0.027 |
|
|
||||
|
Sweden |
1900–1999 |
-0.062 *** |
-0.062 ** |
0 |
|
|
||||
|
Switzerland |
1900–1999 |
-0.009 |
-0.031 ** |
0.022 |
|
|
||||
|
UK |
1900–1999 |
0.145 *** |
-0.031 ** |
0.176 |
|
|
||||
|
USA |
1933–1999 |
-0.009 |
-0.009 |
0 |
|
|
||||
|
No mortality data are available for Belgium from 1914–1918. USA has IMR time series that is best fit as logarithmic. Bold coefficient gaps are for countries where coefficients are significant in both models.***p < 0.01, ** p < 0.05, *p < 0.10 for null that coefficient = 0. |
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|
Bishai and Opuni Population Health Metrics 2009 7:13 doi:10.1186/1478-7954-7-13 |
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