# An Analysis of the Supply of Open Government Data
## 3 Material and Methods
### Empirical Analysis
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{**Variable**} & **Supply of Open** & **Supply of Open** & **Supply of Open** & **Supply of Open** & **Supply of Open** \\  & **Government Data** & **Government Data** & **Government Data** & **Government Data** & **Government Data** \\  & **GODI Score** & **GODI Score** & **GODI Score** & **GODI Score** & **GODI Score** \\  & **(**DI**) & **(**ID**) & **(**ID**)** & **(**IV**)** & **(**V**)** \\ \hline C & 11.04 & 50.17 & 55.5180 & 53.3683 & 55.9864 \\ \hline Gdppp & 0.0002 * & 0.0002 & 0.0002 & 0.0002 & 0.0002 \\ \hline  & (1.6998) & (1.8576) & (1.6380) & (1.3166) & (1.404) \\ \hline Liberty & (0.4111 ** & 0.4974 ** & 0.5225 ** & 0.4306 * & 0.4679 * \\ \hline  & 2.1968 & 2.5259 & 2.4246 & 1.7019 & 1.6761 \\ \hline Dem & \(-\)0.4726 & \(-\)1.2298 * & \(-\)1.3926 * & \(-\)1.4452 * & \(-\)1.4923 * \\ \hline  & \(-\)1.1856 & \(-\)1.8287 & \(-\)1.6874 & \(-\)1.8960 & \(-\)1.6831 \\ \hline Polar & 0.1581 & 0.1925 & 0.1978 & 0.2730 & 0.2410 \\ \hline  & 0.7461 & 0.8889 & 0.8105 & 1.1275 & 0.8072 \\ \hline Age & \(-\)0.3381 & \(-\)0.3287 & \(-\)0.2821 & 0.0522 & 0.0645 \\ \hline  & -0.9542 & \(-\)0.9782 & \(-\)0.7732 & 0.1132 & 0.1178 \\ \hline Transparency & 15.8476 * & 17.48105 ** & 16.1369 * & 13.9994 & 14.4925 \\ \hline  & 1.7610 & 1.9572 & 1.7938 & 1.5910 & 1.6067 \\ \hline Efficiency & \(-\)19.6248 ** & \(-\)22.122 ** & \(-\)20.8876 ** & \(-\)18.6995 * & \(-\)19.6564 * \\ \hline  & \(-\)2.0313 & \(-\)2.2669 & \(-\)2.1968 & \(-\)1.8205 & \(-\)1.94 \\ \hline Population & 2.5681 ** & 3.1520 ** & 3.3581 ** & 3.3492 ** & 3.3951 ** \\ \hline  & 3.4713 & 3.30 & 3.3188 & 3.0274 & 2.8543 \\ \hline Internet-Penetration & 0.5345 ** & \(-\)0.0142 & \(-\)0.1968 & \(-\)0.2213 & \(-\)0.2840 \\ \hline  & 2.9659 & \(-\)0.0474 & \(-\)0.4547 & \(-\)0.4952 & \(-\)0.5341 \\ \hline Dem*Internet-Penetration & & 0.0088 * & 0.0114 * & 0.0116 * & 0.0129 * \\ \hline  & & 1.8122 & 1.8913 & 1.8565 & 1.8966 \\ \hline  & & & \(-\)0.015 & & \(-\)2.8034 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Results of OLS estimators with heteroscedasticity-consistent standard errors. \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & **Supply of Open** & **Supply of Open** & **Supply of Open** & **Supply of Open** & **Supply of Open** \\
**Variable** & **Government Data** & **Government Data** & **Government Data** & **Government Data** & **Government Data** \\
**GODI Score** & **GODI Score** & **GODI Score** & **GODI Score** & **GODI Score** \\
**(I)** & **(II)** & **(III)** & **(IV)** & **(V)** \\ \hline  & & \(-0.0009\) & & \(-0.1298\) \\ \hline Upper & & & \(4.8105\) & \(1.6383\) \\ Middle income & & & \(0.3667\) & \(0.1074\) \\ \hline Lower & & & \(0.6255\) & \(-0.0153\) \\ Middle income & & & \(0.0842\) & \(-0.0016\) \\ \hline East Asia Pacific & & & \(3.9374\) & \(2.9713\) \\ \hline  & & & \(0.3864\) & \(0.2726\) \\ \hline Europe & & & \(-1.2709\) & \(-2.5741\) \\ Central Asia & & & \(-0.1179\) & \(-0.2231\) \\ \hline Latin America & & & \(8.0636\) & \(5.0072\) \\ Caribbean & & & \(0.6578\) & \(0.3605\) \\ \hline Middle East & & & \(0.8853\) & \(2.6890\) \\ North Africa & & & \(0.0724\) & \(0.2168\) \\ \hline North America & & & \(2.0636\) & \(0.7462\) \\  & & & \(0.1751\) & \(0.0595\) \\ \hline Adjusted & \(0.6387\) & \(0.6605\) & \(0.6669\) & \(0.6792\) & \(0.6824\) \\ \hline F-statistic & \(7.66\) *** & \(7.39\) *** & \(5.43\) *** & \(4.65\) *** & \(3.58\) *** \\ \hline Sample & \(49\) & \(49\) & \(49\) & \(49\) \\ \hline \hline \end{tabular}  
* \(p<0.01\), **\(p<0.05\),
* \(p<0.10\). All tests are two-tailed, and \(t\)-tests are below the corresponding estimates (numbers in parenthesis correspond to the \(t\)-test).  
\end{table} 
Table 1: _Cont._