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Innovation Heterogeneity And Schumpeterian Growth Models, Eduardo Pol, P. Carroll
Innovation Heterogeneity And Schumpeterian Growth Models, Eduardo Pol, P. Carroll
Faculty of Commerce - Papers (Archive)
Innovation heterogeneity refers to two empirical facts: economic sectors vary according to sources and rates of innovation, and innovations vary in terms of the magnitude of their economic impact. The central focus of this paper is the problem of scale effects in the Schumpeterian growth models. Although these models make endogenous the production of innovations, they assume not only an oversimplified pattern of sectoral innovation but also that major innovations are virtually indistinguishable from minor innovations. The main claim of the a er is that without a theoretical framework revolving around both the existence of realistic sectoral patterns of innovation …
Flexmix: A General Framework For Finite Mixture Models And Latent Glass Regression In R, Friedrich Leisch
Flexmix: A General Framework For Finite Mixture Models And Latent Glass Regression In R, Friedrich Leisch
Faculty of Business - Papers (Archive)
FlexMix implements a general framework for fitting discrete mixtures of regression models in the R statistical computing environment: three variants of the EM algorithm can be used for parameter estimation, regressors and responses may be multivariate with arbitrary dimension, data may be grouped, e.g., to account for multiple observations per individual, the usual formula interface of the S language is used for convenient model specification, and a modular concept of driver functions allows to interface many different types of regression models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based clustering. FlexMix provides the E-step and …