IDEAS home Printed from https://ideas.repec.org/f/pvi491.html
   My authors  Follow this author

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 Economia e Giurisprudenza.

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. Domenico Vistocco, 2024. "A robust approach for inference on style analysis coefficients," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(2), pages 685-702, April.
  3. Davino Cristina & Lamberti Giuseppe & Vistocco Domenico, 2024. "Assessing heterogeneity in MOOC student performance through composite-based path modelling," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(3), pages 2453-2477, June.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  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. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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 Economia e Giurisprudenza.

    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. Andersson, Martin & Johansson, Sara, 2010. "Human capital and the structure of regional export flows," Technology in Society, Elsevier, vol. 32(3), pages 230-240.
    3. 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.
    4. 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.

Articles

  1. 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).

  2. 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. Martín-García, Jaime & Gómez-Limón, José A. & Arriaza, Manuel, 2024. "Conversion to organic farming: Does it change the economic and environmental performance of fruit farms?," Ecological Economics, Elsevier, vol. 220(C).
    2. 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.
    3. 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.
    4. 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. 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. SriPallavi Nadimpalli & Sahil Mathew & Tashina Madappa Cheranda, 2024. "(Re)envisioning inclusive futures: Applying narrative foresight to deconstruct the problem of urban flooding in the slums of Bengaluru, India," Development Policy Review, Overseas Development Institute, vol. 42(S1), June.

  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. 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.
    2. 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.

  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. Christian Seiler & Klaus Wohlrabe, 2012. "Archetypal Scientists," CESifo Working Paper Series 3990, CESifo.
    4. 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.
    5. 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.
    6. Eugster, Manuel J.A. & Leisch, Friedrich, 2011. "Weighted and robust archetypal analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(3), pages 1215-1225, March.

  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

    Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Domenico Vistocco should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.