Paolo Postiglione

Paolo Postiglione is a Professor of Economic Statistics at “G. d’Annunzio” University of Chieti-Pescara (from May 2017). Previously he was an Associate Professor and an Assistant Professor at “G. d’Annunzio” University of Chieti-Pescara. He also held a position as Statistical Officer at Ministry of Transports and Navigation in staff position of the Head of Human Resources (1996 - 2001).

He is the Dean of the Master Degree course in Economics and Business Analytics (CLEBA) from 2018.

He is a member of the European Union - Regional Economics Applications Laboratory (EU-REAL), a research net in regional science.

He has been a visiting researcher at Regional Economics Applications Laboratory of University of Illinois at Urbana-Champaign, at Regional Research Institute of West Virginia University.

He was the Principal Investigator for University “G. d’Annunzio” of Chieti- Pescara for the Horizon 2020 Project “Integrative Mechanisms for Addressing Spatial Justice and Territorial Inequalities in Europe” (IMAJINE), H2020-SC6-REV-INEQUAL-2016 (2017-2022). Please visit the IMAJINE web-site for further details.

He is the recipient of Spatial Economic Analysis 2022 Best Paper Award for the paper ”Principal component analysis for geographical data: the role of spatial effects in the definition of composite indicators” (jointly with Alfredo Cartone) and of the prize for the most read article of 2021 in the journal “Regional Studies” for the paper “The impact of regional inequality on economic growth: a spatial econometric approach” (jointly with Domenica Panzera).

His research interests mainly concern regional quantitative analysis, spatial statistics and econometrics, regional economic convergence, models for spatial non-stationary data, agricultural statistics, and spatial sampling. He is author of a book edited by Springer, of a book edited by CRC press and many articles on peer review journals and other publications on these topics.

If you want further information on my research activities please visit Researchgate or Google scholar.

MAIN PUBLICATIONS

1. Piras G, Postiglione P (2022). A deeper look at impacts in spatial Durbin model with sphet. Geographical Analysis. 54, 664–684, Wiley. ISSN: 0016-7363. DOI: 10.1111/gean.12318.
2. Postiglione P, Benedetti R, Piersimoni F (Eds) (2022). Spatial econometric methods in agricultural economics using R. CRC Press, Taylor & Francis Group. ISBN: 978-1498766814, DOI: 10.1201/9780429155628.
3. Panzera D, Cartone A, Postiglione P (2022). New evidence on measuring the geographical concentration of economic activities. Papers in Regional Science. Wiley, 101, 1: 59-79. ISSN: 1056-8190. DOI: 10.1111/PIRS.12644.
4. Cartone A, Panzera D, Postiglione P (2022). Regional economic disparities, spatial dependence, and proximity structures. Regional Science Policy & Practice, 14, 5: 1034-1050. Wiley. ISSN:1757-7802. DOI: 10.1111/RSP3.12482
5. Panzera D, Postiglione P (2021). The impact of regional inequality on economic growth: A spatial econometric approach. Regional Studies. Taylor & Francis. ISSN: 0034-3404. DOI:10.1080/00343404.2021.1910228.
6. Cartone A, Postiglione P (2021). Principal component analysis for geographical data: the role of spatial effects in the definition of composite indicators. Spatial Economic Analysis, 16: 126-147. Taylor & Francis. ISSN: 1742-1772. DOI: 10.1080/17421772.2020.1775876.
7. Cartone A, Postiglione P, Hewings GJD (2021). Does economic convergence hold? A spatial quantile analysis on European regions. Economic Modelling, 95, 408-417. ISSN: 0264-9993 DOI:10.1016/j.econmod.2020.03.008.
8. Casolani N, Cartone A, Postiglione P, Liberatore L, (2020). Climate variability in agriculture and crop water requirement: Spatial analysis of Italian provinces. Journal of Cleaner Production. Elsevier. ISSN: 0959-6526 DOI: 10.1016/j.jclepro.2020.121331.
9. Postiglione P, Cartone A, Panzera D. (2020). Economic convergence in EU NUTS 3 regions: A spatial econometric perspective. Sustainability, 12, 6717. ISSN: 2071-1050. DOI:10.3390/su12176717.
10. Benedetti R, Palma D, Postiglione P (2020). Modelling the impact of technological innovation on environmental efficiency: A spatial panel data approach. Geographical Analysis, 52: 231–253. Wiley. ISSN: 0016-7363. DOI:1111/gean.12198.
11. Panzera D, Postiglione P (2020). Measuring the spatial dimension of regional inequality: an approach based on the Gini correlation measure. Social Indicators Research, 148: 379-394. Springer. ISSN: 0303-8300. DOI: 10.1007/s11205-019-02208-7.
12. Benedetti R, Piersimoni F, Postiglione P (2017). Alternative and complementary approaches to spatially balanced samples. Metron, 75: 249-264. Springer. ISSN:0026-1424. DOI: 1007/s40300-017-0123-1.
13. Cartone A, Casolani N, Liberatore L, Postiglione P (2017). Spatial analysis of grey water in Italian cereals crop production. Land Use Policy, 68: 97-106. Elsevier. DOI: 10.1016/j.landusepol.2017.06.024. ISSN: 0264-8377
14. Benedetti R, Piersimoni F, Postiglione P (2017). Spatially balanced sampling: a review and a reappraisal. International Statistical Review, 85, 3, 439–454. Wiley. ISSN: 1751-5823. DOI:10.1111/insr.12216.
15. Billè A, Benedetti R, Postiglione P (2017). A two-step approach to account for unobserved spatial heterogeneity. Spatial Economic Analysis, 12, 4: 452-471. Taylor & Francis. ISSN: 1742-1772. DOI: 10.1080/17421772.2017.1286373.
16. Postiglione P, Andreano MS, Benedetti R (2017). Spatial clusters in EU productivity growth. Growth and Change, 48, 1: 40-60. Wiley. DOI: 10.1111/grow.12165. ISSN: 0017-4815.
17. Andreano MS, Benedetti R, Postiglione P (2017). Spatial regimes in regional European growth: an iterated spatially weighted regression approach. Quality & Quantity, 51: 2665–2684. Springer. DOI: 10.1007/s11135-016-0415-1. ISSN: 0033-5177.
18. Panzera D, Benedetti R, Postiglione P (2016). A Bayesian approach to parameter estimation in the presence of spatial missing data. Spatial Economic Analysis, 11, 2: 201-218 Taylor & Francis. ISSN: 1742-1772, DOI: 10.1080/17421772.2016.1102962.
19. Benedetti R, Piersimoni F, Postiglione P (2015). Sampling spatial units for agricultural surveys. Advances in Spatial Science, Springer, Heidelberg, Berlin. ISBN 978-3-662-46007-8.
20. Panzera D, Postiglione P (2014). Economic growth in Italian NUTS 3 provinces. The Annals of Regional Science, 53: 273-293. ISSN: 0570-1864, DOI 10.1007/s00168-014-0628-y.
21. Postiglione P, Andreano MS, Benedetti R (2013). Using constrained optimization for the identification of convergence clubs. Computational Economics, 42: 151-174, Springer. ISSN: 0927-7099, DOI: 10.1007/s10614-012-9325-z.
22. Andreano MS, Laureti L, Postiglione P (2013). Economic growth in MENA countries: Is there convergence of per-capita GDPs?, Journal of Policy Modeling, 35: 669-683, Elsevier. ISSN: 0161-8938, DOI: 1016/j.jpolmod.2013.02.005.
23. Piras G, Postiglione P, Aroca P (2012). Specialization, R&D and productivity growth:evidence from EU regions. The Annals of Regional Science, 49: 35–51, Springer. ISSN: 0570-1864, DOI: 10.1007/s00168-010-0424-2.
24. Postiglione P, Benedetti R, Lafratta G (2010). A regression tree algorithm for the identification of convergence clubs. Computational Statistics & Data Analysis, 54: 2776-2785, Elsevier. ISSN: 0167-9473, DOI:10.1016/j.csda.2009.04.006.
25. Postiglione P, Hewings GJD (2008). Hierarchical spatial interaction among the Italian regions - A nonlinear relative dynamics approach. Journal of Geographical Systems, 10: 369-382, Springer. ISSN: 1435-5930, DOI 10.1007/s10109-008-0072-6.
26. Laureti L, Postiglione P (2005). The effects of capital inflows on the economic growth in the Med area. Journal of Policy Modeling, 27: 839–851, Elsevier. ISSN: 0161-8938, DOI:10.1016/j.jpolmod.2005.05.003.
27. Alfò M, Postiglione P (2002). Semiparametric modelling of spatial binary observations. Statistical Modelling, 2: 123-137, Arnold Publishers. ISSN: 1471-082X, DOI: 10.1191/1471082x02st023oa.