fracreg - Fractional Response Regressions
Provides routines for the estimation and specification
analysis of fractional response models. Includes univariate
one-part, two-part, and double-inflated three-part fractional
models. Further incorporates estimators for panel data settings
and addresses unobserved heterogeneity and endogeneity via
correlated random effects and control function approaches.
Extends fractional methodology to multivariate data via
fractional multinomial logit models and handles
high-dimensional multicollinear data via fractional ridge
regression. Calculates analytical partial effects across all
model types and includes generalised
goodness-of-functional-form (GGOFF) and Regression Equation
Specification Error Test (RESET) hypothesis tests. Methods are
described in Papke and Wooldridge (1996)
<doi:10.1002/(SICI)1099-1255(199611)11:6%3C619::AID-JAE418%3E3.0.CO;2-1>,
Papke and Wooldridge (2008)
<doi:10.1016/j.jeconom.2008.05.009>, Buis (2008)
<http://maartenbuis.nl/software/likelihoodFmlogit.pdf>,
Ramalho, Ramalho and Murteira (2011)
<doi:10.1111/j.1467-6419.2009.00602.x>, Fang and Ma (2013)
<doi:10.1080/02664763.2012.758246>, Mullahy (2015)
<doi:10.1515/jem-2012-0006>, Murteira and Ramalho (2016)
<doi:10.1080/07474938.2013.806849>, and Rokem and Kay (2020)
<doi:10.1093/gigascience/giaa133>.
