List by Year List in Alphabetical order - Unipa
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
List by Year List in Alphabetical order
LIST IN ALPHABETICAL ORDER Attanasio M. (2021) La scuola è uguale per tutti? Alcune riflessioni sull’istruzione in Italia a 55 anni dalla Scuola di Barbiana. - ISBN:978-8894081312. In VARCHI - ISSN: 2532-8875 vol. 24. Attanasio M., Enea M., Albano A. (2019) “Dalla triennale alla magistrale: continua la "fuga dei cervelli" dal Mezzogiorno d'Italia”. Neodemos, ISSN: 2421-3209. Attanasio M., Enea M., Priulla A. (2019) “Quali atenei scelgono i diplomati del Mezzogiorno d'Italia?”. Neodemos, ISSN: 2421-3209. Boscaino, G., Sottile, G., & Adelfio, G. (2020). Migration and students' performance: detecting geographical differences following a curves clustering approach. Journal of Applied Statistics, 1-15. DOI: 10.1080/02664763.2020.1845624 Columbu S., Porcu M. & Sulis I. (2021) University choice and the attractiveness of the study area: Insights on the differences amongst degree programmes in Italy based on generalised mixed-effect models. Socio- Economic Planning Sciences. DOI:10.1016/j.seps.2020.100926 Columbu S., Porcu M., Primerano I., Sulis I., Vitale M.P. (2020) “Geography of Italian Student Mobility: A Network Analysis Approach”. Accepted for the publication in: Socio-Economic Planning Sciences https://doi.org/10.1016/j.seps.2020.100918 Contini D., Filandri M., Pacelli L. (2019) “Persistency in the NEET state. A longitudinal analysis”. Journal of Youth Studies, 22, 7 DOI 10.1080/13676261.2018.1562161 D'Agostino A., Ghellini G., Longobardi S. (2019) “Exploring determinants and trend of STEM students internal mobility. Some evidence from Italy”. Electronic Journal of Applied Statistical Analysis. DOI 10.1285/i20705948v12n4p826 Ezza A., Fadda N., Pischedda G., and Marinò L. (2019) “Il "grande gap": gli effetti del performance budgeting sulle politiche di reclutamento delle Università italiane”. Management Control 2, 99–121 DOI 10.3280/MACO2019-002005 Fadda N., Marinò L., Pischedda G., Ezza A. (2021) The effect of performance-based mechanisms in higher education. Evidence from the Staff recruitment budget in the Italian Higher Education. HIGHER EDUCATION. DOI 10.1007/s10734-021-00725-4 (open acces) Genova V.G., Tumminello M., Enea M., Aiello F. (2019) “Student mobility in higher education: Sicilian outflow network and chain migrations”. Electronic Journal of Applied Statistical Analysis: DOI 10.1285/i20705948v12n4p774 Giordano, G., Ragozini, G., Vitale, M. P. (2019) “Analyzing multiplex networks using factorial methods”. Social Networks, 59, 154-170 https://doi.org/10.1016/j.socnet.2019.07.005 Lombardi G., Ghellini G.(2019) “The effect of grading policies on Italian Universities’ attractiveness: A Conditional Multinomial Logit approach”. Electronic Journal of Applied Statistical Analysis. DOI 10.1285/i20705948v12n4p801 Muggeo, V.M.R., Torretta, F., Eilers, P.H.C., Sciandra, M., Attanasio, M. (2021) Multiple smoothing parameters selection in additive regression quantiles. Statistical Modelling, vol. 21, 5: pp. 428-448.
Pischedda G., Marinò L. (2021) Children of a lesser God? Demand-driven mechanism and the potential raise of unequal competition in the IHES. HIGHER EDUCATION POLICY 35. DOI: 10.1057/s41307-021-00230-4 Priulla, A., D’Angelo, N. & Attanasio, M. (2021) An analysis of Italian university students’ performance through segmented regression models: gender differences in STEM courses. Genus 77, 11. https://doi.org/10.1186/s41118-021-00118-6 Rizzi, L., Grassetti, L. & Attanasio, M. (2021) Moving from North to North: how are the students’ university flows?. Genus 77, 8. https://doi.org/10.1186/s41118-021-00116-8
LIST BY YEAR Attanasio M., Enea M., Albano A. (2019) “Dalla triennale alla magistrale: continua la "fuga dei cervelli" dal Mezzogiorno d'Italia”. Neodemos, ISSN: 2421-3209. Attanasio M., Enea M., Priulla A. (2019) “Quali atenei scelgono i diplomati del Mezzogiorno d'Italia?”. Neodemos, ISSN: 2421-3209. Contini D., Filandri M., Pacelli L. (2019) “Persistency in the NEET state. A longitudinal analysis”. Journal of Youth Studies, 22, 7 DOI 10.1080/13676261.2018.1562161 D'Agostino A., Ghellini G., Longobardi S. (2019) “Exploring determinants and trend of STEM students internal mobility. Some evidence from Italy”. Electronic Journal of Applied Statistical Analysis. DOI 10.1285/i20705948v12n4p826 Ezza A., Fadda N., Pischedda G., and Marinò L. (2019) “Il "grande gap": gli effetti del performance budgeting sulle politiche di reclutamento delle Università italiane”. Management Control 2, 99–121 DOI 10.3280/MACO2019-002005 Genova V.G., Tumminello M., Enea M., Aiello F. (2019) “Student mobility in higher education: Sicilian outflow network and chain migrations”. Electronic Journal of Applied Statistical Analysis: DOI 10.1285/i20705948v12n4p774 Giordano, G., Ragozini, G., Vitale, M. P. (2019) “Analyzing multiplex networks using factorial methods”. Social Networks, 59, 154-170 https://doi.org/10.1016/j.socnet.2019.07.005 Lombardi G., Ghellini G.(2019) “The effect of grading policies on Italian Universities’ attractiveness: A Conditional Multinomial Logit approach”. Electronic Journal of Applied Statistical Analysis. DOI 10.1285/i20705948v12n4p801 Boscaino, G., Sottile, G., & Adelfio, G. (2020). Migration and students' performance: detecting geographical differences following a curves clustering approach. Journal of Applied Statistics, 1-15. DOI: 10.1080/02664763.2020.1845624 Columbu S., Porcu M., Primerano I., Sulis I., Vitale M.P. (2020) “Geography of Italian Student Mobility: A Network Analysis Approach”. Accepted for the publication in: Socio-Economic Planning Sciences https://doi.org/10.1016/j.seps.2020.100918 Attanasio M. (2021) La scuola è uguale per tutti? Alcune riflessioni sull’istruzione in Italia a 55 anni dalla Scuola di Barbiana. - ISBN:978-8894081312. In VARCHI - ISSN: 2532-8875 vol. 24. Columbu S., Porcu M. & Sulis I. (2021) University choice and the attractiveness of the study area: Insights on the differences amongst degree programmes in Italy based on generalised mixed-effect models. Socio- Economic Planning Sciences. DOI:10.1016/j.seps.2020.100926 Fadda N., Marinò L., Pischedda G., Ezza A. (2021) The effect of performance-based mechanisms in higher education. Evidence from the Staff recruitment budget in the Italian Higher Education. HIGHER EDUCATION. DOI 10.1007/s10734-021-00725-4 (open acces) Muggeo, V.M.R., Torretta, F., Eilers, P.H.C., Sciandra, M., Attanasio, M. (2021) Multiple smoothing parameters selection in additive regression quantiles. Statistical Modelling, vol. 21, 5: pp. 428-448.
Pischedda G., Marinò L. (2021) Children of a lesser God? Demand-driven mechanism and the potential raise of unequal competition in the IHES. HIGHER EDUCATION POLICY 35. DOI: 10.1057/s41307-021-00230-4 Priulla, A., D’Angelo, N. & Attanasio, M. (2021) An analysis of Italian university students’ performance through segmented regression models: gender differences in STEM courses. Genus 77, 11. https://doi.org/10.1186/s41118-021-00118-6 Rizzi, L., Grassetti, L. & Attanasio, M. (2021) Moving from North to North: how are the students’ university flows?. Genus 77, 8. https://doi.org/10.1186/s41118-021-00116-8
You can also read