Search Results - subject:"Count Data"

Tourism return requency demand in Madagascar

Randriamboarison, R.; Rasoamanajara, F.; Solonandrasana, B. - In: Tourism economics : the business and finance of tourism … 19 (2013) 4, pp. 943-958

Persistent link: https://www.econbiz.de/10010232503

A dynamic hurdle model for zero-inflated panel count data

Belloc, Filippo; Bernardi, Mauro; Maruotti, Antonello; … - In: Applied economics letters 20 (2013) 7/9, pp. 837-841

Persistent link: https://www.econbiz.de/10009763288

Climate-friendly technologies in the mobile air-conditioning sector : a patent citation analysis

Rave, Tilmann; Goetzke, Frank - In: Environmental economics and policy studies 15 (2013) 4, pp. 389-422

Persistent link: https://www.econbiz.de/10010223117

Joint estimation using revealed and stated preference data : an application using a national forest

Simões, Paula; Barata, Eduardo A.F.; Cruz, Luís - In: Journal of forest economics : JFE 19 (2013) 3, pp. 249-266

Persistent link: https://www.econbiz.de/10010190527

A parsimonious multivariate poisson model for market basket analysis

Dippold, Katrin; Hruschka, Haralad - In: Review of managerial science 7 (2013) 4, pp. 393-415

Persistent link: https://www.econbiz.de/10010196980

Empirical hierarchical modelling for count data using the spatial random effects model

Sengupta, Aritra; Cressie, Noel A. C. - In: Spatial economic analysis : the journal of the Regional … 8 (2013) 3, pp. 389-418

Persistent link: https://www.econbiz.de/10010202694

How to make soccer more attractive? : rewards for a victory, the teams' offensiveness, and the home bias

Dewenter, Ralf; Namini, Julian Emami - In: Journal of sports economics 14 (2013) 1, pp. 65-86

Persistent link: https://www.econbiz.de/10009770120

Consistent estimation of zero-inflated count models

Staub, Kevin E.; Winkelmann, Rainer - In: Health economics 22 (2013) 6, pp. 673-686

Persistent link: https://www.econbiz.de/10009779703

Analysis of discrete dependent variable models with spatial correlation

Liesenfeld, Roman; Richard, Jean-François; Vogler, Jan - 2013

and spatial count data models, the dependent variable is driven by a latent stochastic state variable which is specified … probit for US presidential voting decisions and spatial count data models (Poisson and Negbin) for firm location choices …. -- Count data models ; Discrete choice models ; Firm location choice ; Importance sampling ; Monte Carlo integration ; Spatial …

Persistent link: https://www.econbiz.de/10009685715

Count data stochastic frontier models, with an application to the patents-R&D relationship

Fé, Eduardo; Hofler, Richard A. - In: Journal of productivity analysis 39 (2013) 3, pp. 271-284

Persistent link: https://www.econbiz.de/10009749963