Paolo Postiglione

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Informazioni ufficio

  • Telefono:
    +39 0854537939 
  • Sede:
    Via della Pineta 
  • Piano:
    II 

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.

Currently, he is an Associate Editor of Statistical Methods and Applications (Springer) and 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. Please visit the IMAJINE web-site for further details.

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, 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.

my CV

 

MAIN PUBLICATIONS

  1. Cartone A, Postiglione P (2020). Principal component analysis for geographical data: the role of spatial effects in the definition of composite indicators. Spatial Economic Analysis. Taylor & Francis. ISSN: 1742-1772. DOI: 10.1080/17421772.2020.1775876. (Impact Factor 2019: 1.628).
  2. 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. (Impact Factor 2019: 7.246).
  3. 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. (Impact Factor 2019: 2.576).
  4. Cartone A, Postiglione P, Hewings GJD (2020). Does economic convergence hold? A spatial quantile analysis on European regions. Economic Modelling. ISSN: 0264-9993 DOI:10.1016/j.econmod.2020.03.008 (Impact Factor 2019: 1.930).
  5. 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. (Impact Factor 2019: 1.690).
  6. 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. (Impact Factor 2019: 1.874).
  7. 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.
  8. 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 (Impact Factor 2019: 3.682).
  9. Benedetti R, Piersimoni F, Postiglione P (2017). Spatially balanced sampling: a review and a reappraisal. International Statistical Review, 85, 3, 439–454. Wiley (Impact Factor 2019: 2.740). ISSN: 1751-5823. DOI:10.1111/insr.12216.
  10. 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. (Impact Factor 2019: 1.628).
  11. 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 (Impact Factor 2019: 1.235).
  12. 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 (Impact Factor 2017: 1.072).
  13. 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. (Impact Factor 2019: 1.628)
  14. 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.
  15. 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. (Impact Factor 2019: 1.750).
  16. 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. (Impact Factor 2019: 1.317).
  17. 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 (Impact Factor 2019: 1.486).
  18. 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. (Impact Factor 2019: 1.750).
  19. 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. (Impact Factor 2019: 1.186).
  20. 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 (Impact Factor 2019: 1.028).
  21. 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. (Impact Factor 2019: 1.486).
  22. 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 (Impact Factor 2019: 1.419).



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