Scientific journal paper Q1
Alternative estimating and testing empirical strategies for fractional regression models
Esmeralda A. Ramalho (Ramalho, E. A.); Joaquim Ramalho (Ramalho, J. J. S.); José Murteira (Murteira, J. M. R.);
Journal Title
Journal of Economic Surveys
Year (definitive publication)
2011
Language
English
Country
United States of America
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Abstract
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.
Acknowledgements
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Keywords
Conditional mean tests,Fractional regression models,Non-nested hypotheses,Two-part models,Zero outcomes
  • Economics and Business - Social Sciences
Funding Records
Funding Reference Funding Entity
PTDC/ECO/64693/2006 Fundação para a Ciência e a Tecnologia