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A negative binomial model and moment conditions for count panel data

Kitazawa, Yoshitsugu - Faculty of Economics, Kyushu Sangyo University - 2009

This paper proposes some moment conditions associated with an appropriate specification of negative binomial model for count panel data, which is proposed by Hausman et al. (1984). The newly proposed moment conditions enable researchers to conduct the consistent estimation of the model under...

Persistent link: https://www.econbiz.de/10005036776

A bayesian choice between poisson, binomial and negative binomial models

Dauxois, Jean-Yves; Druilhet, Pierre; Pommeret, Denys - In: TEST: An Official Journal of the Spanish Society of … 15 (2006) 2, pp. 423-432

Persistent link: https://www.econbiz.de/10005184351

Truncation and Endogenous Stratification in Various Count Data Models for Recreation Demand Analysis

Nakatani, Tomoaki; Sato, Kazuo - Economics Institute for Research (SIR), … - 2005

failure to account for overdispersion, truncation, and endogenous stratification leads to substantial changes in parameter …. Even when the endogenous stratification is incorporated, ignoring overdispersion causes the per capita per trip consumer …'s surplus to be over seven times larger than that obtained when endogenous stratification and overdispersion are considered. …

Persistent link: https://www.econbiz.de/10005190881

A simple approach to fit the beta-binomial model

Guimarães, Paulo - In: Stata Journal 5 (2005) 3, pp. 385-394

In this paper, I show how to estimate the parameters of the beta- binomial distribution and its multivariate generalization, the Dirichlet-multinomial distribution. This approach involves no additional programming, as it relies on an existing Stata command used for overdispersed count panel...

Persistent link: https://www.econbiz.de/10005748367

Some Methods for Estimation in a Negative-Binomial Model

Nakashima, Eiji - In: Annals of the Institute of Statistical Mathematics 49 (1997) 1, pp. 101-115

Persistent link: https://www.econbiz.de/10005616205

Leisure and the Opportunity Cost of Travel Time in Recreation Demand Analysis: A Re-Examination

Amoako-Tuffour, Joe; Martınez-Espineira, Roberto - Volkswirtschaftliche Fakultät, … - 2008

Using count data models that account for zero-truncation, overdispersion, and endogenous stratification, this paper …

Persistent link: https://www.econbiz.de/10005621837

Conditional Heteroskedasticity in Count Data Regression: Self-Feeding Activity in Fish

Brännäs, Kurt; Brännäs, Eva - Institutionen för Nationalekonomi, Umeå Universitet - 2002

The paper introduces a new approach to incorporating time dependent overdispersion for Poisson related regression … Arctic charr. There is strong support for both a dynamic conditional mean function and a dynamic model for the overdispersion. …

Persistent link: https://www.econbiz.de/10005651943

Robustness of Group-Based Models for Longitudinal Count Data

Weakliem, David L.; Wright, Bradley R. Entner - In: Sociological Methods & Research 38 (2009) 1, pp. 147-170

of the shape of the trajectory. When there is only one underlying trajectory and overdispersion is present, the SMPR …

Persistent link: https://www.econbiz.de/10010789407

Score tests for zero-inflation and overdispersion in two-level count data

Lim, Hwa Kyung; Song, Juwon; Jung, Byoung Cheol - In: Computational Statistics & Data Analysis 61 (2013) C, pp. 67-82

overdispersion may remain even after modeling excess zeros. The zero-inflated negative binomial (ZINB) mixed regression model is … suggested to analyze such data. Previous studies have proposed score statistics for testing zero-inflation and overdispersion … separately in correlated count data. Here, we also deal with simultaneous score tests for zero-inflation and overdispersion in …

Persistent link: https://www.econbiz.de/10010617228

Conditional tests for homogeneity of zero-inflated Poisson and Poisson-hurdle distributions

Bedrick, Edward J.; Hossain, Anwar - In: Computational Statistics & Data Analysis 61 (2013) C, pp. 99-106

We develop two conditional tests for homogeneity of zero-inflated Poisson (ZIP) and Poisson-hurdle distributions. A Monte Carlo method is proposed for approximating the reference distributions of these tests. The techniques are applied to two examples.

Persistent link: https://www.econbiz.de/10010617229