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Ramalho, E. A., Ramalho, J. J. S. & Murteira, J. M. R. (2011). Alternative estimating and testing empirical strategies for fractional regression models. Journal of Economic Surveys. 25 (1), 19-68
E. A. Ramalho et al., "Alternative estimating and testing empirical strategies for fractional regression models", in Journal of Economic Surveys, vol. 25, no. 1, pp. 19-68, 2011
@article{ramalho2011_1734882986707, author = "Ramalho, E. A. and Ramalho, J. J. S. and Murteira, J. M. R.", title = "Alternative estimating and testing empirical strategies for fractional regression models", journal = "Journal of Economic Surveys", year = "2011", volume = "25", number = "1", doi = "10.1111/j.1467-6419.2009.00602.x", pages = "19-68", url = "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-6419.2009.00602.x/full" }
TY - JOUR TI - Alternative estimating and testing empirical strategies for fractional regression models T2 - Journal of Economic Surveys VL - 25 IS - 1 AU - Ramalho, E. A. AU - Ramalho, J. J. S. AU - Murteira, J. M. R. PY - 2011 SP - 19-68 SN - 0950-0804 DO - 10.1111/j.1467-6419.2009.00602.x UR - http://onlinelibrary.wiley.com/doi/10.1111/j.1467-6419.2009.00602.x/full AB - In many economic settings, the variable of interest is often a fraction or a proportion, being defined only on the unit interval. The bounded nature of such variables and, in some cases, the possibility of nontrivial probability mass accumulating at one or both boundaries raise some interesting estimation and inference issues. In this paper we (i) provide a comprehensive survey of the main alternative models and estimation methods suitable to deal with fractional response variables, (ii) propose a full testing methodology to assess the validity of the assumptions required by each alternative estimator and (iii) examine the finite-sample properties of most of the estimators and tests discussed through an extensive Monte Carlo study. An application concerning corporate capital structure choices is also provided. ER -