LEADER 04121nam 2200601 a 450 001 9910955388903321 005 20251116221045.0 010 $a1-61668-804-1 035 $a(CKB)2560000000069066 035 $a(EBL)3020183 035 $a(SSID)ssj0000416389 035 $a(PQKBManifestationID)12101312 035 $a(PQKBTitleCode)TC0000416389 035 $a(PQKBWorkID)10420917 035 $a(PQKB)11667010 035 $a(MiAaPQ)EBC3020183 035 $a(Au-PeEL)EBL3020183 035 $a(CaPaEBR)ebr10675191 035 $a(OCoLC)923663121 035 $a(BIP)23382542 035 $a(EXLCZ)992560000000069066 100 $a20080716d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aEconometric modeling perspectives /$fMarco Bee ... [et at.] 205 $a1st ed. 210 $aNew York $cNova Science Publishers, Inc.$dc2008 215 $a1 online resource (120 p.) 225 1 $aNovinka 300 $aDescription based upon print version of record. 311 08$a1-60692-157-6 320 $aIncludes bibliographical references (p. [99]-103) and index. 327 $aIntroduction -- An overview of the literature -- Models without diffusion -- Technology, diffusion, and growth: a key trinomial -- Models with exogenous diffusion -- Models with endogenous diffusion -- An alternative approach: the advantages of continuous-time quantitative methods -- Econometric estimation -- Towards a dynamic model of growth and technology -- The modified model: endogenising human capital -- Technology diffusion: the SETI model -- Continuous-time econometric models of regional convergence and the role of spatial interactions -- Conclusion. 330 $aIn this book the authors present a reassessment of some recently proposed econometric methods for the analysis of continuous-time specifications of economic models. Given the vastness of this stream of the literature, that does not allow for a full exposition of the topic, the authors concentrate on the estimation and simulation analysis of a continuous-time econometric model based on a theoretical framework -- the SETI model -- developed in Padoan (1996). The application is almost completely instrumental to a more thorough analysis of methodological issues entailed with continuous-time econometrics. Nevertheless, it presents some interesting theoretical aspects such as the process of diffusion of ICT and the role of services in international diffusion of technology. The standard methods are not suitable for theoretical models in which disequilibrium analysis is necessary and, in general, presents a clear limitation when the structural multi-equation form of the model should be preserved. Thus the authors show how, by means of continuous-time econometric, it is possible to estimate the parameters of the model using the Full Information Maximum Likelihood techniques in a time series set-up. Then, the authors extend the econometric analysis in order to evaluate the out-of-equilibrium dynamic properties of a system via simulation techniques. The declared aim of the present work is to define the conditions to the equilibrium and to discuss its stability properties. Furthermore, the application provides the guidelines for the formulation and empirical validation of a model considering growth-driven-by-technology phenomena, interactions between countries through trade effects, and the diffusion of technology. Finally, spatial aspects of the problem are explicitly taken into account. 410 0$aNovinka (Series) 606 $aEconometric models 606 $aTime-series analysis 606 $aEquilibrium (Economics)$xMathematical models 615 0$aEconometric models. 615 0$aTime-series analysis. 615 0$aEquilibrium (Economics)$xMathematical models. 676 $a330.01/5195 701 $aBee$b Marco$0146885 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910955388903321 996 $aEconometric modeling perspectives$94470673 997 $aUNINA