References
- Abadie, A., Angrist, J., & Imbens, G. (2002). Instrumental variables estimates of the effect of subsidized training on the quantiles of trainee earnings. Econometrica, 70, 91–117. doi: 10.1111/1468-0262.00270
- Campante, F., & Chor, D. (2012). Why was the Arab world poised for revolution? Schooling, economic opportunities, and the Arab Spring. Journal of Economic Perspectives, 26, 167–188. doi: 10.1257/jep.26.2.167
- Diwan, I. (2012a). A rational framework for the understanding of the Arab revolutions. CID Working Paper No. 237. Center for International Development at Harvard University.
- Diwan, I. (2012b). Understanding revolution in the Middle East: The Central role of the middle class. ERF Working Paper no. 726. Cairo, Egypt: Economic Research Forum.
- Easterly, W. (2005). National policies and economic growth. In P. Aghion and S. Durlauf (Eds.), Handbook of economic growth, vol. 1A. Amsterdam: North-Holland.
- Elliot, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64, 813–836. doi: 10.2307/2171846
- Enders, K. (2007). Egypt – searching for binding constraints on growth. IMF Working Paper WP/07/57 (March 2007)
- Firpo, S. (2007). Efficient semiparametric estimation of quantile treatment effects. Econometrica, 75, 259–276. doi: 10.1111/j.1468-0262.2007.00738.x
- Frölich, M., & Melly, B. (2008). Unconditional quantile treatment effects under endogeneity. IZA Discussion Paper No. 3288. Institute for the Study of Labor.
- Frölich, M., & Melly, B. (2010). Estimation of quantile treatment effects with Stata. The STATA Journal, 10, 423–457.
- Galal, A., & Selim, H. (2012). The elusive quest for Arab economic development. ERF Working Paper 722. Cairo, Egypt: Economic Research Forum.
- Hausmann, R., Klinger, B., & Wagner, R. (2008). Doing growth diagnostics in practice: A ‘Mindbook’. Harvard Center for International Development, Working Paper No. 177.
- Hirano, K., Imbens, G., & Ridder, G. (2003). Efficient estimation of average treatment effects using the estimated propensity score. Econometrica, 71, 1161–1189.; doi: 10.1111/1468-0262.00442
- Holland, P. (1986). Statistics and causal inference. Journal of the American Statistical Association, 81, 945–960. doi: 10.1080/01621459.1986.10478354
- Imbens, G., & Wooldridge, W. (2009). Recent developments in the econometrics of program evaluation. Journal of Economic Literature, 47(1), 5–86. doi: 10.1257/jel.47.1.5
- Koenker, R., & Bassett Jr., G. (1978). Regression quantiles. Econometrica, 46, 33–50. doi: 10.2307/1913643
- Martincus, C., & Carballo, J. (2010). Beyond the average effects: The distributional impacts of export promotion programs in developing countries. Journal of Development Economics, 92, 201–214. doi: 10.1016/j.jdeveco.2009.02.007
- Rodrik, D. (2010). Diagnostics before prescription. Journal of Economic Perspectives, 24, 33–44. doi: 10.1257/jep.24.3.33
- Rosenbaum, P., & Rubin, D. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41–50. doi: 10.1093/biomet/70.1.41
- Sorenson, D. (2011). Transitions in the Arab world. Spring or fall? Strategic Studies Quarterly, 5, 22–49.