Econometric Analysis of Count Data

By H. Friedl. 2002

739 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

View Paper: https://www.semanticscholar.org/paper/cecf139484aa180ee05d4a84619a4492d2482931

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Marketing

Citations in the corpus

Zero-inflated and overdispersed: what's one to do? (2013, methodology): “Because count data are inherently positively skewed, they are not optimally modelled with a normal distribution, especially if the variable of interest is rare [10,11,13].”
Modelling count data with overdispersion and spatial effects (2008, methodology): “For a detailed study of various count data models see Winkelmann (2003).”
Stochastic models underlying Croston ’ s method for intermittent demand forecasting 2 February 2005 (2005, methodology): “Potential stationary models are Poisson autoregressive models (see Grunwald et al. 2000) and other time series models for counts 2 February 2005 16 Stochastic models underlying Croston’s method for intermittent demand forecasting (e.g. Cameron & Trivedi 1998, Winkelmann 2000).”
Estimating the gravity model without gravity using panel data (2011, background): “In the case of an dummy variable, the estimated coefficient provides a reasonable approximation for small estimated values (see Winkelman, 2008, for a more elaborative discussion).”
Synopsis: Agricultural production and children’s diets: Evidence from rural Ethiopia: (2017, background): “In the standard Poisson model, the two formulations are equivalent but this is no longer the case if one (or more) of the regressors is endogenous (e.g. Windmeijer and Santos Silva 1997; Winkelmann 2008, p. 159).”
Random parameters multivariate tobit and zero-inflated count data models: addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis (2016, background): “With the expected number of accidents being (Ma et al., 2008; Winkelmann, 2008): 182 𝜆𝑖𝑗 = 𝐸𝑋𝑃[𝛃𝑗𝐗𝑖𝑗 ′ + 𝜀𝑖𝑗], 𝑖 = 1, 2, … , 𝑁, 𝑗 = 1, 2, 3 (9) 183 where, 𝐸𝑋𝑃[𝜀𝑖𝑗] is a multivariate gamma-distributed error term with mean 1 and variance 1a , the 184 multivariate negative…”
The Effects of Financial Development on Foreign Direct Investment (2014, background): “This estimator is robust to distributional misspecification and therefore, as long as the conditional mean function is correctly specified, this estimator is consistent even if the dependent variable is continuous (Winkelmann, 2008; Wooldridge, 2010).”
Individual determinants of work attendance: evidence on the role of personality (2013, neutral): “ Possible solutions suggested in the literature are the Nebgin I and the Negbin II model (Cameron and Trivedi, 1998; Winkelmann, 1997).”
Islamic Banking: How Has it Diffused? (2010, methodology): “The Tobit model is a convenient way of modeling this type of data (see Winkelmann, 2003).”
Safety impacts of pavement surface roughness at two-lane and multi-lane highways: accounting for heterogeneity and seemingly unrelated correlation across crash severities (2019, background): “If α is significantly different from 0, the negative binomial is appropriate and if it is not, the Poisson model is appropriate (Winkelmann 2008; Washington, Karlaftis, and Mannering 2010).”
The citation impact of research collaborations : the case of European biotechnology and applied microbiology (1988-2002) (2005, methodology): “However, it can be shown that the likelihood ratio statistic has a distribution with probability mass of 0.5 at 0 and a chi-square with 1 d.f. for positive values (see Winkelmann, 2000, p. 105).”
Do renewable electricity policies promote renewable electricity generation? Evidence from panel data (2013, background): “Details on the Poisson regression could be found in Winkelmann (2008) and Arvis and Shepherd (2011).”
Which Past Returns Affect Trading Volume (2009, positive): “We thus use random (Regression (10)) and fixed effects (regression (11)) negative binomial panel regressions in Table 5 (see, for example, Winkelmann (2003) for details).”
Is there complementarity or substitutability between internal and external R&D strategies? (2012, methodology): “Further, the existence of an interactive effect between RDI and RDE is defined by requiring that the relative change in λit associated with a change in RDI depends on RDE and vice versa (Winkelmann, 2008).”
Essentials of Count Data Regression (2007, background): “Winkelmann (1997) also provides a fairly complete treatment of the econometric literature on counts.”
The Impact of Regional Age Structure on Entrepreneurship (2009, background): “The Poisson model has the advantage of being robust against misspecifications, even though the data are not Poisson distributed (cf. Winkelmann 2008).”