References
- Barrios, E. (2008). Infrastructure and rural development: Household perceptions on rural development. Progress in Planning 70(1):1–44.
- Cai, X., Stiegert, K., Koontz, S. (2011). Regime switching and oligopsony power: The case of US beef processing. Agricultural Economics 42(1):99–109.
- Cai, J., Ung, L., Setboonsarng, S., Leung, P. (2008). Rice contract farming in Cambodia: Empowering farmers to move beyond the contract toward independence. ADBI Discussion Paper No. 109, ADB Institute, Tokyo, Japan.
- Curto, J., Pinto, J. (2007). New multicollinearity indicators in linear regression models. International Statistical Review 75(1):114–121.
- Curto, J., Pinto, J. (2011). The corrected VIF (CVIF). Journal of Applied Statistics 38(7):1499–1507.
- Dehejia, R., Wahba, G. (2002). Propensity score matching methods for non-experimental causal studies. The Review of Economics and Statistics 84(1):151–161.
- De Souza, C., Heckman, N. (2014). Switching nonparametric regression. Journal of Nonparametric Statistics 26(4):616–637.
- Dunteman, J. (1989). Principal Component Analysis. Sage University Papers Series on Quantitative Applications in the Social Sciences, 07-069. Thousand Oaks, CA: Sage.
- Fox, J. (2000). Nonparametric Simple Regression: Smoothing Scatterplots. Thousand Oaks, CA: Sage.
- Hastie, T., Tibshirani, R. (1990). Generalized Additive Models. London: Chapman and Hall.
- Heckman, J. (1979). Sample selection bias as a specification error. Econometrica 47(1):153–161.
- Huang, M., Li, R., Wang, S. (2013). Nonparametric mixture of regression models. Journal of the American Statistical Association 108(503):929–941.
- Kim, C., Piger, J., Startz, R. (2008). Estimation of Markov regime-switching regression with endogenous switching. Journal of Econometrics 143(2):263–273.
- Lee, L. (1978). Unionism and wage rates: A simultaneous equations model with qualitative and limited dependent variables. International Economic Review 19(2):415–433.
- Lee, L., Trost, R. (1978). Estimation of some limited dependent variable models with application to housing demand. Journal of Econometrics 8:357–382.
- Maddala, G. (1983). Limited-Dependent and Qualitative Variables in Econometrics. Cambridge, UK: Cambridge University Press.
- Malikov, E., Kumbhakar, S. (2014). A generalized panel data switching regression model. Economics Letters 124(3):353–357.
- Mount, T., Ning, Y., Cai, X. (2006). Predicting price spikes in electricity markets using a regime-switching model with time-varying parameters. Energy Economics 28:62–80.
- Ramli, A., Watada, J., Pedrycz, W. (2014). A combination of genetic algorithm-based fuzzy c-means with a convex hull-based regression for real-time fuzzy switching regression analysis: Application to industrial intelligent data analysis. IEEJ Transactions on Electrical and Electronic Engineering 9:71–82.
- Rosenbaum, P., Rubin, D. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55.
- Umali, J., Barrios, E. (2014). Nonparametric principal components regression. Communications in Statistics – Simulation and Computing 43(7):1797–1810.
- Winship, C., Mare, R. (1992). Models for sample selection bias. Annual Review of Sociology 18:327–350.
- Zachmann, G. (2013). A stochastic fuel switching model for electricity prices. Energy Economics 35:5–13.