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Econometric Modeling Perspectives 1st Edition Marco Bee Giuseppe Espa Roberto Gabriele Bernardo Maggio Gianfranco Piras

  • SKU: BELL-51360870
Econometric Modeling Perspectives 1st Edition Marco Bee Giuseppe Espa Roberto Gabriele Bernardo Maggio Gianfranco Piras
$ 31.00 $ 45.00 (-31%)

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Econometric Modeling Perspectives 1st Edition Marco Bee Giuseppe Espa Roberto Gabriele Bernardo Maggio Gianfranco Piras instant download after payment.

Publisher: Nova Science Publishers, Incorporated
File Extension: PDF
File size: 3.76 MB
Pages: 109
Author: Marco Bee; Giuseppe Espa; Roberto Gabriele; Bernardo Maggio; Gianfranco Piras
ISBN: 9781616688042, 1616688041
Language: English
Year: 2008
Edition: 1

Product desciption

Econometric Modeling Perspectives 1st Edition Marco Bee Giuseppe Espa Roberto Gabriele Bernardo Maggio Gianfranco Piras by Marco Bee; Giuseppe Espa; Roberto Gabriele; Bernardo Maggio; Gianfranco Piras 9781616688042, 1616688041 instant download after payment.

In this book the authors present a reassessment of some recently proposed econometric methods for the analysis of continuous–time specifications of economic models. Given the vastness of this stream of the literature, that does not allow for a full exposition of the topic, the authors concentrate on the estimation and simulation analysis of a continuous–time econometric model based on a theoretical framework – the SETI model – developed in Padoan (1996). The application is almost completely instrumental to a more thorough analysis of methodological issues entailed with continuous–time econometrics. Nevertheless, it presents some interesting theoretical aspects such as the process of diffusion of ICT and the role of services in international diffusion of technology. The standard methods are not suitable for theoretical models in which disequilibrium analysis is necessary and, in general, presents a clear limitation when the structural multi-equation form of the model should be preserved. Thus the authors show how, by means of continuous–time econometric, it is possible to estimate the parameters of the model using the Full Information Maximum Likelihood techniques in a time series setup. Then, the authors extend the econometric analysis in order to evaluate the out-of-equilibrium dynamic properties of a system via simulation techniques. The declared aim of the present work is to define the conditions to the equilibrium and to discuss its stability properties. Furthermore, the application provides the guidelines for the formulation and empirical validation of a model considering growth-driven-by-technology phenomena, interactions between countries through trade effects, and the diffusion of technology. Finally, spatial aspects of the problem are explicitly taken into account.

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