Last modified: 2018-05-31
Abstract
References
ROSENBAUM, P. R., RUBIN D. B.: The Central Role of the propensity score in observational studies for causal effects, Biometrika \textbf{70}, 41-–55 (1983).
MARQUES, A.C., FUINHAS, J.A., PIRES MANSO, J. R.: A quantile approach to identify factors promoting renewable energy in European Countries. Environmental and Resources Economics \textbf{49}, 351--366 (2011).
AUSTIN, P.C.: An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies, Multivariate Behavioral Research, \textbf{46}, 399-–424 (2011).
JAKOB, M., STECKEL, J.C., FLACHSLAND C., BAUMSTARK, L.: Climate Finance for Developing Country Mitigation: Blessing or Curse?, Climate and Development, \textbf{7}, 1--15 (2015) .
SAIDI, K., BEN MBAREK, M.: Nuclear energy, renewable energy, CO2 emissions and economic growth for nine developed countries: Evidence from panel Granger causality tests, Progress in Nuclear Energy \textbf{88}, 364–374 (2016).