LEADER 02434nam 22004573a 450 001 9910372780103321 005 20250203232517.0 024 8 $ahttps://doi.org/10.6093/978-88-6887-057-7 035 $a(CKB)4100000010163823 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/48918 035 $a(ScCtBLL)74e2e711-dd91-41e6-8da1-3ecae9ea0bd0 035 $a(OCoLC)1163826721 035 $a(Perlego)2343217 035 $a(oapen)doab48918 035 $a(EXLCZ)994100000010163823 100 $a20250203i20192019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aGRETL 2019 : $eProceedings of the International Conference on the Gnu Regression, Econometrics and Time-series Library /$fRiccardo Lucchetti, Francesca Di Iorio 210 $cFedOA - Federico II University Press$d2019 210 1$a[s.l.] :$cFedOA - Federico II University Press,$d2019. 215 $a1 electronic resource (VII, 168 p.) 225 1 $aScuola delle Scienze Umane e Sociali. Quaderni 311 08$a9788868870577 311 08$a8868870576 330 $aThe volume collects the contributions presented at the sixth Gretl Conference - which took place at the Department of Political Science, University of Naples Federico II, on June 13-14, 2019. Gretl (Gnu Regression, Econometrics and Time-series Library) is a free, open-source software for statistical-econometric analysis, written in C and available on different platforms. Born as a versatile teaching tool, in its 10 years of life it has grown enormously also as a research tool. The Conference saw the presentation of both theoretical and applied studies in order to share the latest software developments and new features. The volume includes 15 contributions by scholars on various topics, including Generalized Dynamic Factor Models, Propensity Score Matching, Space Models and Models for Ordinary Data, Cointegration and Boostrap techniques, which were accepted after an anonymous review process. 606 $aPolitical Science$2bisacsh 606 $aPolitical science 615 7$aPolitical Science 615 0$aPolitical science. 700 $aLucchetti$b Riccardo$0117783 702 $aDi Iorio$b Francesca 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910372780103321 996 $aGRETL 2019$94317666 997 $aUNINA