7. Fixed-Effects Negative Binomial Regression Models

By P. Allison, Richard P. Waterman. 2002

1,106 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/cee9a69ba96c5a21e448ea1f0c747d997e15e9c9

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In Economics and Econometrics

Citations in the corpus

Improving the Energy-Efficiency of Buildings: The Impact of Environmental Policy on Technological Innovation (2012, background): “However, there is some discussion in the literature on whether the conditional fixed effects negative binomial is really a ‘true fixed effects’, see Allison and Waterman (2002).”
Learning from What Others Have Learned from You: The Effects of Knowledge Spillovers on Originating Firms (2010, positive): “…than the more conventional conditional maximum likelihood estimation procedure developed by Hausman et al. (1984).3 However, our results do not 3 Allison and Waterman (2002) criticized Hausman et al.’s (1984) conditional negative binomial fixed effects model as not being a “true” fixed effects…”
College Party Culture and Sexual Assault (2016, background): “Moreover, the conditional fixed effects negative binomial model has been demonstrated to not be a true fixed effects model (Allison and Waterman 2002).”
The Al Gore effect: An Inconvenient Truth and voluntary carbon offsets (2011, background): “Allison and Waterman (2002) note that the fixed effects negative binomial model lacks some of the properties of a traditional fixed-effects model, in that the model is able to estimate a coefficient for stable covariates.”
Fixed and Random Effects Models for Count Data (2007, result): “Researchers are sometimes surprised to find, moreover, that the HHG formulation of the FENB model allows an overall constant – a quirk that has been documented elsewhere [see Allison (2000) and Allison and Waterman (2002), for example].”
Does knowledge spill to leaders or laggards? Exploring industry heterogeneity in learning by exporting (2008, background): “Hausman et al. (1984) introduce a negative binomial model to control for firm-fixed effects of this sort; however, there has been considerable debate over whether this method effectively controls for individual effects (Allison & Waterman, 2002).”
Does Foreign Environmental Policy Influence Domestic Innovation? Evidence from the Wind Industry (2014, background): “However this model is known to imperfectly control for fixed effects (Allison and Waterman 2002; Greene 2007; Guimaraes 2008). Another issue is that xtnbreg does not report any robust or clustered standard errors and the small size of our sample has not allowed us to compute bootstrapped standard er”
Reducing Gang Violence Using Focused Deterrence: Evaluating the Cincinnati Initiative to Reduce Violence (CIRV) (2013, methodology): “Thus, we display the results from the conventional Poisson regressions with monthly fixed effects parameters as a way to control for omitted static influences on specified outcomes that were not included in our models (Allison & Waterman, 2002).”
CEO Narcissism, Audience Engagement, and Organizational Adoption of Technological Discontinuities (2013, methodology): “For estimating the degree of adoption, we followed Allison and Waterman’s (2002) approach of using a Poisson specification (with dummies for each firm, to control for firm fixed effects) and then corrected standard errors for overdispersion by multiplying the standard errors by ‘‘the square root of ”
Risk and the strategy of foreign location choice in regulated industries (2008, methodology): “We use the fixed-effects specification of Hausman, Hall, and Griliches (1984), which includes a time-invariant variance-to-mean ratio for each firm (Allison and Waterman, 2002).”
The Relative Performance of Poisson and Negative Binomial Regression Estimators (2015, neutral): “Allison and Waterman (2002) compared the Poisson and type 2 negative binomial estimators in”
The Impact of Double Taxation Treaties on Foreign Direct Investment: Evidence from Large Dyadic Panel Data (2009, background): “Allison and Waterman (2002) find that the unconditional fixed-effects model, implemented as nbreg in Stata with fixed effects added “manually,” represents better the fixed effects.”