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Domenico Vistocco

Personal Details

First Name:Domenico
Middle Name:
Last Name:Vistocco
Suffix:
RePEc Short-ID:pvi491
[This author has chosen not to make the email address public]
http://domenicovistocco.it

Affiliation

Università degli Studi di Napoli Federico II - Dipartimento di Scienze Politiche

http://www.scienzepolitiche.unina.it/
Italy, Naples

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Daniela Federici & Francesco Ferrante & Domenico Vistocco, 2008. "On the Sources of Entrepreneurial Talent: Tacit vs. codified knowledge," Working Papers 2008-07, Universita' di Cassino, Dipartimento di Scienze Economiche.

Articles

  1. Cristina Davino & Giuseppe Lamberti & Domenico Vistocco, 2024. "Testing heterogeneity in quantile regression: a multigroup approach," Computational Statistics, Springer, vol. 39(1), pages 117-140, February.
  2. Maria Iannario & Rosaria Romano & Domenico Vistocco, 2023. "Dyadic analysis for multi-block data in sport surveys analytics," Annals of Operations Research, Springer, vol. 325(1), pages 701-714, June.
  3. Rosa Fabbricatore & Maria Iannario & Rosaria Romano & Domenico Vistocco, 2023. "Component-based structural equation modeling for the assessment of psycho-social aspects and performance of athletes," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 343-367, March.
  4. Pasquale Dolce & Cristina Davino & Domenico Vistocco, 2022. "Quantile composite-based path modeling: algorithms, properties and applications," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(4), pages 909-949, December.
  5. Cristina Davino & Tormod Næs & Rosaria Romano & Domenico Vistocco, 2022. "A quantile regression perspective on external preference mapping," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(4), pages 545-571, December.
  6. Adele Coppola & Mario Amato & Domenico Vistocco & Fabio Verneau, 2022. "Measuring the economic sustainability of Italian farms using FADN data," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(9), pages 327-337.
  7. Cristina Davino & Pasquale Dolce & Stefania Taralli & Domenico Vistocco, 2022. "Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 907-936, June.
  8. C. Davino & R. Romano & D. Vistocco, 2022. "Handling multicollinearity in quantile regression through the use of principal component regression," METRON, Springer;Sapienza Università di Roma, vol. 80(2), pages 153-174, August.
  9. Cristina Davino & Marco Gherghi & Silvia Sorana & Domenico Vistocco, 2021. "Measuring Social Vulnerability in an Urban Space Through Multivariate Methods and Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(3), pages 1179-1201, October.
  10. Cristina Davino & Rosaria Romano & Domenico Vistocco, 2020. "On the use of quantile regression to deal with heterogeneity: the case of multi-block data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(4), pages 771-784, December.
  11. Lucio Cappelli & Fabrizio D’Ascenzo & Luisa Natale & Francesca Rossetti & Roberto Ruggieri & Domenico Vistocco, 2017. "Are Consumers Willing to Pay More for a “Made in” Product? An Empirical Investigation on “Made in Italy”," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
  12. Dario Bruzzese & Domenico Vistocco, 2015. "DESPOTA: DEndrogram Slicing through a PemutatiOn Test Approach," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 285-304, July.
  13. Claudio Conversano & Domenico Vistocco, 2010. "Analysis of mutual funds' management styles: a modeling, ranking and visualizing approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(11), pages 1825-1845.
  14. Giovanni C. Porzio & Giancarlo Ragozini & Domenico Vistocco, 2008. "On the use of archetypes as benchmarks," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 419-437, September.
  15. Cristina Davino & Domenico Vistocco, 2007. "The evaluation of university educational processes: a quantile regression approach," Statistica, Department of Statistics, University of Bologna, vol. 67(3), pages 281-292.

Chapters

  1. Laura Attardi & Domenico Vistocco, 2008. "Estimating Portfolio Conditional Returns Distribution Through Style Analysis Models," Springer Books, in: Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods in Insurance and Finance, pages 11-17, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Daniela Federici & Francesco Ferrante & Domenico Vistocco, 2008. "On the Sources of Entrepreneurial Talent: Tacit vs. codified knowledge," Working Papers 2008-07, Universita' di Cassino, Dipartimento di Scienze Economiche.

    Cited by:

    1. de Bruin Anne M. & Ferrante Francesco M., 2011. "Bounded Opportunity: A Knowledge-Based Approach to Opportunity Recognition and Development," Entrepreneurship Research Journal, De Gruyter, vol. 1(4), pages 1-23, October.
    2. Mayer-Haug, Katrin & Read, Stuart & Brinckmann, Jan & Dew, Nicholas & Grichnik, Dietmar, 2013. "Entrepreneurial talent and venture performance: A meta-analytic investigation of SMEs," Research Policy, Elsevier, vol. 42(6), pages 1251-1273.
    3. Andersson, Martin & Johansson, Sara, 2010. "Human capital and the structure of regional export flows," Technology in Society, Elsevier, vol. 32(3), pages 230-240.
    4. Ferrante, Francesco & Federici, Daniela & Parisi, Valentino, 2017. "University Students and Entrepreneurship. Some insights from a population-based survey," MPRA Paper 76980, University Library of Munich, Germany.

Articles

  1. Adele Coppola & Mario Amato & Domenico Vistocco & Fabio Verneau, 2022. "Measuring the economic sustainability of Italian farms using FADN data," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(9), pages 327-337.

    Cited by:

    1. José A. Gómez‐Limón & Sandra Sánchez‐Cañizares & Amalia Hidalgo‐Fernández & Ana M. Castillo‐Canalejo, 2023. "Profit and viability persistence: Evidence from the Spanish agricultural sector," Agribusiness, John Wiley & Sons, Ltd., vol. 39(4), pages 1300-1332, October.
    2. Katarína Novotná & Ľubomír Gurčík & Zuzana Lušňáková, 2023. "Economic determinants of the development and sustainability of family farms in Slovakia," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(7), pages 291-299.
    3. Paola Sau & Brunella Arru & Federica Cisilino & Roberto Furesi & Pietro Pulina & Fabio A. Madau, 2023. "Economic and Environmental Sustainability Trade-Off Analysis in Sheep Farming Using the Farm Accountancy Data Network Database," Sustainability, MDPI, vol. 15(24), pages 1-24, December.

  2. C. Davino & R. Romano & D. Vistocco, 2022. "Handling multicollinearity in quantile regression through the use of principal component regression," METRON, Springer;Sapienza Università di Roma, vol. 80(2), pages 153-174, August.

    Cited by:

    1. Huang, Luling & Nock, Destenie & Cong, Shuchen & Qiu, Yueming (Lucy), 2023. "Inequalities across cooling and heating in households: Energy equity gaps," Energy Policy, Elsevier, vol. 182(C).

  3. Cristina Davino & Marco Gherghi & Silvia Sorana & Domenico Vistocco, 2021. "Measuring Social Vulnerability in an Urban Space Through Multivariate Methods and Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(3), pages 1179-1201, October.

    Cited by:

    1. Wanying Zhong & Yue Wang, 2022. "A study on the spatial and temporal variation of urban integrated vulnerability in Southwest China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2855-2882, December.
    2. Arezou Shafaghat & Salim Ferwati & Ali Keyvanfar, 2022. "COVID-19-Adapted Multi-Functional Corniche Street Design Assessment Model: Applying Global Sensitivity Analysis (GSA) and Adaptability Analysis Methods," Sustainability, MDPI, vol. 14(17), pages 1-27, September.
    3. Matheus Pereira Libório & João Francisco Abreu & Petr Iakovlevitch Ekel & Alexei Manso Correa Machado, 2023. "Effect of sub-indicator weighting schemes on the spatial dependence of multidimensional phenomena," Journal of Geographical Systems, Springer, vol. 25(2), pages 185-211, April.

  4. Cristina Davino & Rosaria Romano & Domenico Vistocco, 2020. "On the use of quantile regression to deal with heterogeneity: the case of multi-block data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(4), pages 771-784, December.

    Cited by:

    1. Cristina Davino & Tormod Næs & Rosaria Romano & Domenico Vistocco, 2022. "A quantile regression perspective on external preference mapping," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(4), pages 545-571, December.
    2. Maria Iannario & Rosaria Romano & Domenico Vistocco, 2023. "Dyadic analysis for multi-block data in sport surveys analytics," Annals of Operations Research, Springer, vol. 325(1), pages 701-714, June.

  5. Lucio Cappelli & Fabrizio D’Ascenzo & Luisa Natale & Francesca Rossetti & Roberto Ruggieri & Domenico Vistocco, 2017. "Are Consumers Willing to Pay More for a “Made in” Product? An Empirical Investigation on “Made in Italy”," Sustainability, MDPI, vol. 9(4), pages 1-17, April.

    Cited by:

    1. Wagner, Melissa & Curteza, Antonela & Hong, Yan & Chen, Yan & Thomassey, Sebastien & Zeng, Xianyi, 2019. "A design analysis for eco-fashion style using sensory evaluation tools: Consumer perceptions of product appearance," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 253-262.
    2. Cappelli Lucio & D’ascenzo Fabrizio & Ruggieri Roberto & Rossetti Francesca & Scalingi Alessandra, 2019. "The attitude of consumers towards “Made in Italy” products. An empirical analysis among Italian customers," Management & Marketing, Sciendo, vol. 14(1), pages 31-47, March.
    3. Christoph Bey & Dirk C. Moosmayer, 2023. "Making a Brand Loved Rather Than Sustainable? Cosmopolitanism and Brand Love as Competing Communication Claims," Sustainability, MDPI, vol. 15(13), pages 1-13, July.

  6. Dario Bruzzese & Domenico Vistocco, 2015. "DESPOTA: DEndrogram Slicing through a PemutatiOn Test Approach," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 285-304, July.

    Cited by:

    1. Cristina Davino & Rosaria Romano & Domenico Vistocco, 2020. "On the use of quantile regression to deal with heterogeneity: the case of multi-block data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(4), pages 771-784, December.

  7. Giovanni C. Porzio & Giancarlo Ragozini & Domenico Vistocco, 2008. "On the use of archetypes as benchmarks," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 419-437, September.

    Cited by:

    1. Paola Costantini & Marielle Linting & Giovanni C. Porzio, 2010. "Mining performance data through nonlinear PCA with optimal scaling," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(1), pages 85-101, January.
    2. Eugster, Manuel J. A. & Leisch, Friedrich, 2009. "From Spider-Man to Hero — Archetypal Analysis in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i08).
    3. Irene Epifanio & María Victoria Ibáñez & Amelia Simó, 2018. "Archetypal shapes based on landmarks and extension to handle missing data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 705-735, September.
    4. Eugster, Manuel J.A. & Leisch, Friedrich, 2011. "Weighted and robust archetypal analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(3), pages 1215-1225, March.
    5. Christian Seiler & Klaus Wohlrabe, 2012. "Archetypal Scientists," CESifo Working Paper Series 3990, CESifo.
    6. Moliner, Jesús & Epifanio, Irene, 2019. "Robust multivariate and functional archetypal analysis with application to financial time series analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 195-208.

  8. Cristina Davino & Domenico Vistocco, 2007. "The evaluation of university educational processes: a quantile regression approach," Statistica, Department of Statistics, University of Bologna, vol. 67(3), pages 281-292.

    Cited by:

    1. Cristina Davino & Vincenzo Esposito Vinzi, 2016. "Quantile composite-based path modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(4), pages 491-520, December.
    2. C. Davino & R. Romano & D. Vistocco, 2022. "Handling multicollinearity in quantile regression through the use of principal component regression," METRON, Springer;Sapienza Università di Roma, vol. 80(2), pages 153-174, August.

Chapters

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