"Neuvedeno."@en . "10"^^ . "10"^^ . . . "http://www.isvav.cz/projectDetail.do?rowId=GA402/99/0902"^^ . . . "2003-04-01+02:00"^^ . "The objective of the project is to utilize the previous results and develop macroeconomic models whose structure will capture both the transitive proerties of the Czech economics and its long-run tendencies. The semiemirical models developed will be of partly neoclassical and partly Keynesian charater. Additionally we will develop an affregared stoochastic dynamic model with endogenous banking sector based on modern macroeconomic theory of stochastic growth. To edentify the structure and parameters ofthe models we will apply modern bayesian approach based on multiple models and global approximation of the soution using computer intensive Monte Carlo methods. This approach enables us to use relatively short time series with partly inconsistent data. This project is a follow-up of the successfull project supported by the grant Ga ER no. 402/96/0902."@en . . "0"^^ . . "Restrukturalizace a inova\u010Dn\u00ED aktivity ve vybrann\u00FDch pr\u016Fmyslov\u00FDch regionech \u010Cesk\u00E9 republiky" . . "Po form\u00E1ln\u00ED str\u00E1nce nebyly v projektu shled\u00E1ny nedostatky. V\u00FDstupy z grantu jsou nedostate\u010Dn\u00E9 vzhledem k n\u00E1klad\u016Fm a d\u00E9lce trv\u00E1n\u00ED projektu. Publikace prozat\u00EDm neprokazateln\u00E9."@cs . "GA402/99/0902" . . "Restructuring and innovation activities in selected industrial regions of the Czech Republic"@en . . . . . "1"^^ . "1"^^ . . "Jeho c\u00EDlem je vyu\u017Eit\u00ED dosa\u017Een\u00FDch v\u00FDsledk\u016F a v\u00FDvoj makroekonomick\u00FDch model\u016F jejich\u017E struktura postihne jak tranzitivn\u00ED vlastnosti \u010Desk\u00E9 ekonomiky, tak jej\u00ED tendenci sm\u011B\u0159uj\u00EDc\u00ED k ust\u00E1len\u00E9 tr\u017En\u00ED ekonomice. Jde tedy o empirick\u00E9 modely, kter\u00E9 budou m\u00EDt z\u010D\u00E1sti neoklasickou a z\u00E1rove\u0148 z \u010D\u00E1sti keynesi\u00E1nskou povahu. Krom\u011B toho se bude projekt nov\u011B zab\u00FDvat aplikac\u00ED standardn\u00EDch p\u0159\u00EDstup\u016F sou\u010Dasn\u00E9 makroekonomick\u00E9 teorie z oblasti stochastick\u00FDch r\u016Fstov\u00FDch model\u016F s c\u00EDlem vyvinout agreg\u00E1tn\u00ED stochastick\u00FD dynamick\u00FDmodel s endogenn\u011B zahrnut\u00FDm bankovn\u00EDm sektorem. Ke kvantitativn\u00ED anal\u00FDze a identifikaci model\u016F budou vyu\u017Eity nejnov\u011Bj\u0161\u00ED metody identifikace, kter\u00E9 umo\u017E\u0148uj\u00ED pr\u00E1ci s kr\u00E1tkodob\u00FDmi a nekonzistentn\u00EDmi \u010Dasov\u00FDmi \u0159adami. Metody jsou zalo\u017Eeny na glob\u00E1ln\u00ED aproximaci bayesovsk\u00E9ho \u0159e\u0161en\u00ED pomoc\u00ED v\u00FDpo\u010Detn\u011B intenzivn\u00EDch metod Monte-Carlo." . . . .