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Raffaello Seri

Personal Details

First Name:Raffaello
Middle Name:
Last Name:Seri
Suffix:
RePEc Short-ID:pse712
[This author has chosen not to make the email address public]
http://rseri.me

Affiliation

Dipartimento di Economia
Facoltà di Economia
Università degli Studi dell'Insubria

Varese, Italy
https://www.eco.uninsubria.it/
RePEc:edi:deinsit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Siebers, Peer Olaf & Herath, Dinuka & Bardone, Emanuele & Farahbakhsh, Siavash & Knudsen, Peter Gloggengiehser & Madsen, Jens Koed & Mufti, Mehwish & Neumann, Martin & Richards, Dale & Seri, Raffaello, 2020. "On the quest for defining organisational plasticity: a community modelling experiment," LSE Research Online Documents on Economics 106630, London School of Economics and Political Science, LSE Library.
  2. Raffaello Seri & Samuele Centorrino & Michele Bernasconi, 2019. "Nonparametric Estimation and Inference in Economic and Psychological Experiments," Papers 1904.11156, arXiv.org, revised Dec 2019.
  3. Michele Bernasconi & Christine Choirat & Raffaello Seri, 2013. "Empirical properties of group preference aggregation methods employed in AHP. Theory and evidence," Working Papers 2013:10, Department of Economics, University of Venice "Ca' Foscari".
  4. Michele Bernasconi, Luca Corazzini, Raffaello Seri, 2012. "Tax Evasion: Does the Tax Burden Matter?," ISLA Working Papers 43, ISLA, Centre for research on Latin American Studies and Transition Economies, Universita' Bocconi, Milano, Italy.
  5. Michele Bernasconi & Christine Choirat & Raffaello Seri, 2009. "A re-examination of the algebraic properties of the AHP as a ratio-scaling technique," Working Papers 2009_23, Department of Economics, University of Venice "Ca' Foscari".
  6. Michele Bernasconi & Christine Choirat & Raffaello Seri, 2009. "The Analytic Hierarchy Process and the Theory of Measurement," Working Papers 2009_24, Department of Economics, University of Venice "Ca' Foscari".
  7. Thomas B. Astebro & Massimo G. Colombo & Raffaello Seri, 2009. "The Diffusion of Complementary Technologies: An Empirical Test," Working Papers hal-00655042, HAL.
  8. Rocco Mosconi & Raffaello Seri, 2002. "Non-causality in Bivariate Binary Panel Data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C5-3, International Conferences on Panel Data.
  9. Christine Choirat & Raffaello Seri, 2001. "Estimation in Discrete Parameter Models," Working Papers 2001-38, Center for Research in Economics and Statistics.

Articles

  1. Seri, Raffaello, 2022. "Computing the asymptotic distribution of second-order U- and V-statistics," Computational Statistics & Data Analysis, Elsevier, vol. 174(C).
  2. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
  3. Davide Secchi & Raffaello Seri, 2017. "Controlling for false negatives in agent-based models: a review of power analysis in organizational research," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 94-121, March.
  4. Seri, Raffaello & Choirat, Christine, 2015. "Comparison Of Approximations For Compound Poisson Processes," ASTIN Bulletin, Cambridge University Press, vol. 45(3), pages 601-637, September.
  5. Bernasconi, Michele & Corazzini, Luca & Seri, Raffaello, 2014. "Reference dependent preferences, hedonic adaptation and tax evasion: Does the tax burden matter?," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 103-118.
  6. Bernasconi, Michele & Choirat, Christine & Seri, Raffaello, 2014. "Empirical properties of group preference aggregation methods employed in AHP: Theory and evidence," European Journal of Operational Research, Elsevier, vol. 232(3), pages 584-592.
  7. Choirat, Christine & Seri, Raffaello, 2014. "Bootstrap confidence sets for the Aumann mean of a random closed set," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 803-817.
  8. Raffaello Seri & Christine Choirat, 2013. "Scenario Approximation of Robust and Chance-Constrained Programs," Journal of Optimization Theory and Applications, Springer, vol. 158(2), pages 590-614, August.
  9. Michele Bernasconi & Christine Choirat & Raffaello Seri, 2010. "The Analytic Hierarchy Process and the Theory of Measurement," Management Science, INFORMS, vol. 56(4), pages 699-711, April.
  10. Hess, Christian & Seri, Raffaello & Choirat, Christine, 2010. "Ergodic theorems for extended real-valued random variables," Stochastic Processes and their Applications, Elsevier, vol. 120(10), pages 1908-1919, September.
  11. Christine Choirat & Raffello Seri, 2009. "Econometrics with Python," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 698-704.
  12. Mosconi, Rocco & Seri, Raffaello, 2006. "Non-causality in bivariate binary time series," Journal of Econometrics, Elsevier, vol. 132(2), pages 379-407, June.

Chapters

  1. Christine Choirat & Raffaello Seri, 2009. "On Embedding Gretl in a Python Module," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 14, pages 219-227, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.

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. Michele Bernasconi & Christine Choirat & Raffaello Seri, 2013. "Empirical properties of group preference aggregation methods employed in AHP. Theory and evidence," Working Papers 2013:10, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Jochen Wulf, 2020. "Development of an AHP hierarchy for managing omnichannel capabilities: a design science research approach," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 39-68, April.
    2. Amenta, Pietro & Lucadamo, Antonio & Marcarelli, Gabriella, 2021. "On the choice of weights for aggregating judgments in non-negotiable AHP group decision making," European Journal of Operational Research, Elsevier, vol. 288(1), pages 294-301.
    3. Dokupilová Dušana & Baláž Vladimír & Kurincová Vladimíra Čavojová & Mikušková Eva Ballová & Gombitová Dagmar, 2020. "Identifying major policy challenges and policy interventions via expert methods : Application of the Delphi and AHP methods in preparation of the Partnership Agreement for the Slovak Republic in perio," Review of Economic Perspectives, Sciendo, vol. 20(3), pages 361-377, September.
    4. Tereza Aubrechtová & Eva Semančíková & Pavel Raška, 2020. "Formulation Matters! The Failure of Integrating Landscape Fragmentation Policy," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    5. Vladimír Baláž & Dušana Dokupilová & Richard Filčák, 2021. "Participatory multi-criteria methods for adaptation to climate change," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(4), pages 1-22, April.
    6. Laila Oubahman & Szabolcs Duleba, 2022. "A Comparative Analysis of Homogenous Groups’ Preferences by Using AIP and AIJ Group AHP-PROMETHEE Model," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    7. Przybyła-Kasperek, Małgorzata & Wakulicz-Deja, Alicja, 2016. "The strength of coalition in a dispersed decision support system with negotiations," European Journal of Operational Research, Elsevier, vol. 252(3), pages 947-968.
    8. de Luca, Stefano, 2014. "Public engagement in strategic transportation planning: An analytic hierarchy process based approach," Transport Policy, Elsevier, vol. 33(C), pages 110-124.
    9. Hsu-Shih Shih, 2016. "A Mixed-Data Evaluation in Group TOPSIS with Differentiated Decision Power," Group Decision and Negotiation, Springer, vol. 25(3), pages 537-565, May.
    10. Dušana Dokupilová & Vladimíra Kurincová Čavojová & Vladimír Baláž & Eva Ballová Mikušková & Dagmar Gombitová, 2021. "Smart advice for better governance: applying expert methods to high-stakes decisions," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(3), pages 285-293, September.
    11. Alexandra Tsioulou & Joanna Faure Walker & Dexter Sumaylo Lo & Rebekah Yore, 2021. "A method for determining the suitability of schools as evacuation shelters and aid distribution hubs following disasters: case study from Cagayan de Oro, Philippines," 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. 105(2), pages 1835-1859, January.
    12. Xia, Meimei & Chen, Jian, 2015. "Multi-criteria group decision making based on bilateral agreements," European Journal of Operational Research, Elsevier, vol. 240(3), pages 756-764.
    13. Jahangir Wasim & Vijay Vyas & Pietro Amenta & Antonio Lucadamo & Gabriella Marcarelli & Alessio Ishizaka, 2023. "Deriving the weights for aggregating judgments in a multi-group problem: an application to curriculum development in entrepreneurship," Annals of Operations Research, Springer, vol. 326(2), pages 853-877, July.
    14. Brunelli, Matteo & Fedrizzi, Michele, 2015. "Boundary properties of the inconsistency of pairwise comparisons in group decisions," European Journal of Operational Research, Elsevier, vol. 240(3), pages 765-773.
    15. Sasaki, Yasuo, 2023. "Strategic manipulation in group decisions with pairwise comparisons: A game theoretical perspective," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1133-1139.
    16. Gagolewski, Marek, 2015. "Spread measures and their relation to aggregation functions," European Journal of Operational Research, Elsevier, vol. 241(2), pages 469-477.

  2. Michele Bernasconi, Luca Corazzini, Raffaello Seri, 2012. "Tax Evasion: Does the Tax Burden Matter?," ISLA Working Papers 43, ISLA, Centre for research on Latin American Studies and Transition Economies, Universita' Bocconi, Milano, Italy.

    Cited by:

    1. Christoph Bühren & Thorben C. Kundt, 2013. "Worker or Shirker – Who Evades More Taxes? A Real Effort Experiment," MAGKS Papers on Economics 201326, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    2. Pickhardt, Michael & Prinz, Aloys, 2014. "Behavioral dynamics of tax evasion – A survey," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 1-19.
    3. Radu Claudia Florina & Dumiter Florin Cornel & Dudas Lavinia & Jimon Stefania Master, 2017. "Study On Budget Revenue Collection, Shadow Economy and Tax Losses Caused By It," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 27(2), pages 1-18, June.

  3. Michele Bernasconi & Christine Choirat & Raffaello Seri, 2009. "A re-examination of the algebraic properties of the AHP as a ratio-scaling technique," Working Papers 2009_23, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Bernasconi, Michele & Choirat, Christine & Seri, Raffaello, 2014. "Empirical properties of group preference aggregation methods employed in AHP: Theory and evidence," European Journal of Operational Research, Elsevier, vol. 232(3), pages 584-592.
    2. Talaei, Alireza & Ahadi, Mohammad Sadegh & Maghsoudy, Soroush, 2014. "Climate friendly technology transfer in the energy sector: A case study of Iran," Energy Policy, Elsevier, vol. 64(C), pages 349-363.
    3. Raffaello Seri & Samuele Centorrino & Michele Bernasconi, 2019. "Nonparametric Estimation and Inference in Economic and Psychological Experiments," Papers 1904.11156, arXiv.org, revised Dec 2019.

  4. Michele Bernasconi & Christine Choirat & Raffaello Seri, 2009. "The Analytic Hierarchy Process and the Theory of Measurement," Working Papers 2009_24, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Kriegel, Johannes & Rissbacher, Clemens & Pölzl, Alois & Tuttle-Weidinger, Linda & Reckwitz, Nanni, 2020. "Levers for integrating social work into primary healthcare networks in Austria," Health Policy, Elsevier, vol. 124(1), pages 75-82.
    2. Changsheng Lin & Gang Kou & Daji Ergu, 2013. "An improved statistical approach for consistency test in AHP," Annals of Operations Research, Springer, vol. 211(1), pages 289-299, December.
    3. Bernasconi, Michele & Choirat, Christine & Seri, Raffaello, 2014. "Empirical properties of group preference aggregation methods employed in AHP: Theory and evidence," European Journal of Operational Research, Elsevier, vol. 232(3), pages 584-592.
    4. Jih-Jeng Huang, 2021. "Analytic Hierarchy Process with the Correlation Effect via WordNet," Mathematics, MDPI, vol. 9(8), pages 1-13, April.
    5. Antonio Menéndez Suárez-Inclán & Cristina Allende-Prieto & Jorge Roces-García & Juan P. Rodríguez-Sánchez & Luis A. Sañudo-Fontaneda & Carlos Rey-Mahía & Felipe P. Álvarez-Rabanal, 2022. "Development of a Multicriteria Scheme for the Identification of Strategic Areas for SUDS Implementation: A Case Study from Gijón, Spain," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    6. AbdulHafeez Muhammad & Ansar Siddique & Quadri Noorulhasan Naveed & Uzma Khaliq & Ali M. Aseere & Mohd Abul Hasan & Mohamed Rafik N. Qureshi & Basit Shahzad, 2021. "Evaluating Usability of Academic Websites through a Fuzzy Analytical Hierarchical Process," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    7. José Luis Galdón Salvador & Gabriel Marín Díaz, 2024. "Enhancing Business Decision Making through a New Corporate Reputation Measurement Model: Practical Application in a Supplier Selection Process," Sustainability, MDPI, vol. 16(2), pages 1-28, January.
    8. Paulius Šūmakaris & Kristina Kovaitė & Renata Korsakienė, 2023. "An Integrated Approach to Evaluating Eco-Innovation Strategies from the Perspective of Strategic Green Transformation: A Case of the Lithuanian Furniture Industry," Sustainability, MDPI, vol. 15(11), pages 1-33, June.
    9. Liu, Fang & Zou, Shu-Cai & Li, Qing, 2020. "Deriving priorities from pairwise comparison matrices with a novel consistency index," Applied Mathematics and Computation, Elsevier, vol. 374(C).
    10. Michele Bernasconi & Christine Choirat & Raffaello Seri, 2009. "A re-examination of the algebraic properties of the AHP as a ratio-scaling technique," Working Papers 2009_23, Department of Economics, University of Venice "Ca' Foscari".
    11. Akshay Hinduja & Manju Pandey, 2019. "A Distance-based Method for Computing Priorities of Intuitionistic Fuzzy Preference Relation and Its Application in AHP," Vision, , vol. 23(4), pages 329-340, December.
    12. Raffaello Seri & Samuele Centorrino & Michele Bernasconi, 2019. "Nonparametric Estimation and Inference in Economic and Psychological Experiments," Papers 1904.11156, arXiv.org, revised Dec 2019.

  5. Thomas B. Astebro & Massimo G. Colombo & Raffaello Seri, 2009. "The Diffusion of Complementary Technologies: An Empirical Test," Working Papers hal-00655042, HAL.

    Cited by:

    1. Susanna Mancinelli & Massimiliano Mazzanti, 2009. "Innovation, networking and complementarity: evidence on SME performances for a local economic system in North-Eastern Italy," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 567-597, September.
    2. Giulio Cainelli & Massimiliano Mazzanti & Roberto Zoboli, 2011. "Enviromental Innovations, Complementarity and Local/Global Cooperation," Working Papers 201104, University of Ferrara, Department of Economics.

  6. Christine Choirat & Raffaello Seri, 2001. "Estimation in Discrete Parameter Models," Working Papers 2001-38, Center for Research in Economics and Statistics.

    Cited by:

    1. Davide Secchi & Raffaello Seri, 2017. "Controlling for false negatives in agent-based models: a review of power analysis in organizational research," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 94-121, March.
    2. Dong Hwan Oh & Andrew J. Patton, 2021. "Dynamic Factor Copula Models with Estimated Cluster Assignments," Finance and Economics Discussion Series 2021-029r1, Board of Governors of the Federal Reserve System (U.S.), revised 06 May 2022.
    3. Matthieu Marbac & Christophe Biernacki & Vincent Vandewalle, 2016. "Latent class model with conditional dependency per modes to cluster categorical 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. 10(2), pages 183-207, June.
    4. Luati, Alessandra & Novelli, Marco, 2020. "The Hammersley–Chapman–Robbins inequality for repeatedly monitored quantum system," Statistics & Probability Letters, Elsevier, vol. 165(C).

Articles

  1. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.

    Cited by:

    1. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).

  2. Davide Secchi & Raffaello Seri, 2017. "Controlling for false negatives in agent-based models: a review of power analysis in organizational research," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 94-121, March.

    Cited by:

    1. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
    2. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    4. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    5. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Dehua Gao & Flaminio Squazzoni & Xiuquan Deng, 2018. "The Intertwining Impact of Intraorganizational and Routine Networks on Routine Replication Dynamics: An Agent-Based Model," Complexity, Hindawi, vol. 2018, pages 1-23, November.
    7. Arianna Dal Forno & Ugo Merlone, 2021. "Envy effects on conflict dynamics in supervised work groups," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 755-779, December.
    8. Iris Lorscheid & Matthias Meyer, 2021. "Toward a better understanding of team decision processes: combining laboratory experiments with agent-based modeling," Journal of Business Economics, Springer, vol. 91(9), pages 1431-1467, November.
    9. Noeldeke, Beatrice & Winter, Etti & Ntawuhiganayo, Elisée Bahati, 2022. "Representing human decision-making in agent-based simulation models: Agroforestry adoption in rural Rwanda," Ecological Economics, Elsevier, vol. 200(C).
    10. Najib A. Mozahem, 2022. "Social cognitive theory and women’s career choices: an agent—based model simulation," Computational and Mathematical Organization Theory, Springer, vol. 28(1), pages 1-26, March.

  3. Seri, Raffaello & Choirat, Christine, 2015. "Comparison Of Approximations For Compound Poisson Processes," ASTIN Bulletin, Cambridge University Press, vol. 45(3), pages 601-637, September.

    Cited by:

    1. Matyas Barczy & Adam Dudas & Jozsef Gall, 2018. "On approximations of Value at Risk and Expected Shortfall involving kurtosis," Papers 1811.06361, arXiv.org, revised Dec 2020.
    2. Krzysztof Burnecki & Mario Nicoló Giuricich, 2017. "Stable Weak Approximation at Work in Index-Linked Catastrophe Bond Pricing," Risks, MDPI, vol. 5(4), pages 1-19, December.

  4. Bernasconi, Michele & Corazzini, Luca & Seri, Raffaello, 2014. "Reference dependent preferences, hedonic adaptation and tax evasion: Does the tax burden matter?," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 103-118.

    Cited by:

    1. Christoph Engel, 2016. "Experimental Criminal Law. A Survey of Contributions from Law, Economics and Criminology," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2016_07, Max Planck Institute for Research on Collective Goods.
    2. Michele Bernasconi & Rosella Levaggi & Francesco Menoncin, 2020. "Dynamic Tax Evasion with Habit Formation in Consumption," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(3), pages 966-992, July.
    3. Milos Fisar & Tommaso Reggiani & Fabio Sabatini & Jiri Spalek, 2021. "Media negativity bias and tax compliance: Experimental evidence," Working Papers in Public Economics 211, University of Rome La Sapienza, Department of Economics and Law.
    4. Amedeo Piolatto & Matthew D. Rablen, 2017. "Prospect theory and tax evasion: a reconsideration of the Yitzhaki puzzle," Theory and Decision, Springer, vol. 82(4), pages 543-565, April.
    5. Giuseppe Attanasi & Nikolaos Georgantzis & Valentina Rotondi & Daria Vigani, 2018. "Lottery- and survey-based risk attitudes linked through a multichoice elicitation task," Post-Print halshs-01948205, HAL.
    6. Julien Jacob & Eve-Angéline Lambert & Mathieu Lefebvre & Sarah van Driessche, 2023. "Information disclosure under liability: an experiment on public bads," Post-Print hal-03922400, HAL.
    7. Cédric Gutierrez & Tomasz Obloj & Douglas H. Frank, 2021. "Better to have led and lost than never to have led at all? Lost leadership and effort provision in dynamic tournaments," Strategic Management Journal, Wiley Blackwell, vol. 42(4), pages 774-801, April.
    8. Zhang, nan & Qin, Botao, 2020. "Reference point adaptation and air quality – Experimental evidence with anti-PM 2.5 facemasks from China," MPRA Paper 102935, University Library of Munich, Germany.
    9. Siglé, Maarten & Goslinga, Sjoerd & Speklé, Roland & van der Hel, Lisette & Veldhuizen, Robbert, 2018. "Corporate tax compliance: Is a change towards trust-based tax strategies justified?," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 32(C), pages 3-16.
    10. Jonathan Farrar & Dawn W. Massey & Errol Osecki & Linda Thorne, 2020. "Tax Fairness: Conceptual Foundations and Empirical Measurement," Journal of Business Ethics, Springer, vol. 162(3), pages 487-503, March.
    11. Andrea Albarea & Michele Bernasconi & Anna Marenzi & Dino Rizzi, 2023. "Tax Evasion, Behavioral Microsimulation Models and Flat-Rate Tax Reforms: Analysis for Italy," Public Finance Review, , vol. 51(2), pages 262-310, March.
    12. Stephan Muehlbacher & Andre Hartmann & Erich Kirchler & James Alm, 2023. "Declaring income versus declaring taxes in tax compliance experiments: Does the design of laboratory experiments affect the results?," Economic and Political Studies, Taylor & Francis Journals, vol. 11(3), pages 334-349, July.
    13. Giuseppe Attanasi & Anna Maffioletti & Giulia Papini & Patrizia Sbriglia & Maria Luigia Signore, 2023. "Beyond the Threshold: How Electoral Size-Dependent Uncertainty Affects Majority Determination," GREDEG Working Papers 2023-12, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    14. Giuseppe Attanasi & Michela Chessa & Sara Gil Gallen & Elena Manzoni, 2022. "Bargaining with Confirmed Proposals: An Experimental Analysis of Tacit Collusion in Cournot and Bertrand Duopolies," GREDEG Working Papers 2022-18, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    15. Nan Zhang & Giulia Andrighetto & Stefania Ottone & Ferruccio Ponzano & Sven Steinmo, 2016. ""Willing to Pay?" Tax Compliance in Britain and Italy: An Experimental Analysis," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-14, February.
    16. Grundmann, Susanna & Graf Lambsdorff, Johann, 2017. "How income and tax rates provoke cheating – An experimental investigation of tax morale," Journal of Economic Psychology, Elsevier, vol. 63(C), pages 27-42.
    17. Park, Hyeon, 2019. "Inter-temporal choices with temporal reference dependence," Research in Economics, Elsevier, vol. 73(1), pages 107-122.
    18. Bernasconi, Michele & Bernhofer, Juliana, 2020. "Catch Me If You Can: Testing the reduction of compound lotteries axiom in a tax compliance experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 84(C).
    19. Raluca Andreea GHETU & Cristina-Simona CĂPĂȚÎNĂ & Petre BREZEANU, 2021. "The Evolution Of Fiscal Pressure In Developed E.U. Countries And Its Determinants," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 30(2), pages 239-249, December.
    20. Jonathan Farrar & Dawn W. Massey & Errol Osecki & Linda Thorne, 2021. "The Association Between Vertical Equity and Presidential Voting Behavior and Taxpayers’ Compliance," Journal of Business Ethics, Springer, vol. 172(1), pages 101-114, August.
    21. James Alm & Antoine Malézieux, 2021. "40 years of tax evasion games: a meta-analysis," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 699-750, September.
    22. Pukelienė Violeta & Kažemekaitytė Austėja, 2016. "Tax Behaviour: Assessment of Tax Compliance in European Union Countries," Ekonomika (Economics), Sciendo, vol. 95(2), pages 30-56, February.
    23. Dagmara Nikulin & Ewa Lechman, 2021. "Shadow Economy in Poland: Results of the Survey," SpringerBriefs in Economics, in: Shadow Economy in Poland, chapter 0, pages 49-65, Springer.
    24. Duccio Gamannossi degl’Innocenti & Matthew D. Rablen, 2017. "Tax avoidance and optimal income tax enforcement," IFS Working Papers W17/08, Institute for Fiscal Studies.

  5. Bernasconi, Michele & Choirat, Christine & Seri, Raffaello, 2014. "Empirical properties of group preference aggregation methods employed in AHP: Theory and evidence," European Journal of Operational Research, Elsevier, vol. 232(3), pages 584-592.
    See citations under working paper version above.
  6. Choirat, Christine & Seri, Raffaello, 2014. "Bootstrap confidence sets for the Aumann mean of a random closed set," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 803-817.

    Cited by:

    1. Colubi, Ana & Ramos-Guajardo, Ana Belén, 2023. "Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics," Econometrics and Statistics, Elsevier, vol. 26(C), pages 84-98.

  7. Raffaello Seri & Christine Choirat, 2013. "Scenario Approximation of Robust and Chance-Constrained Programs," Journal of Optimization Theory and Applications, Springer, vol. 158(2), pages 590-614, August.

    Cited by:

    1. Davide Secchi & Raffaello Seri, 2017. "Controlling for false negatives in agent-based models: a review of power analysis in organizational research," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 94-121, March.
    2. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
    3. Lingzi Jin & Xiao Wang, 2022. "A stochastic primal-dual method for a class of nonconvex constrained optimization," Computational Optimization and Applications, Springer, vol. 83(1), pages 143-180, September.

  8. Michele Bernasconi & Christine Choirat & Raffaello Seri, 2010. "The Analytic Hierarchy Process and the Theory of Measurement," Management Science, INFORMS, vol. 56(4), pages 699-711, April.
    See citations under working paper version above.
  9. Hess, Christian & Seri, Raffaello & Choirat, Christine, 2010. "Ergodic theorems for extended real-valued random variables," Stochastic Processes and their Applications, Elsevier, vol. 120(10), pages 1908-1919, September.

    Cited by:

    1. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.

  10. Christine Choirat & Raffello Seri, 2009. "Econometrics with Python," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 698-704.

    Cited by:

    1. Roseline Bilina & Steve Lawford, 2012. "Python for Unified Research in Econometrics and Statistics," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 558-591, September.
    2. Christine Choirat & Raffaello Seri, 2009. "On Embedding Gretl in a Python Module," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 14, pages 219-227, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.

  11. Mosconi, Rocco & Seri, Raffaello, 2006. "Non-causality in bivariate binary time series," Journal of Econometrics, Elsevier, vol. 132(2), pages 379-407, June.

    Cited by:

    1. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    2. Anatolyev Stanislav, 2009. "Multi-Market Direction-of-Change Modeling Using Dependence Ratios," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-24, March.
    3. Pigini, Claudia & Bartolucci, Francesco, 2022. "Conditional inference for binary panel data models with predetermined covariates," Econometrics and Statistics, Elsevier, vol. 23(C), pages 83-104.
    4. Mohamed Sahbi Nakhli & Abderrazak Dhaoui & Julien Chevallier, 2022. "Bootstrap rolling-window Granger causality dynamics between momentum and sentiment: implications for investors," Annals of Finance, Springer, vol. 18(2), pages 267-283, June.
    5. Monica Billio & Silvio Di Sanzo, 2015. "Granger-causality in Markov switching models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 956-966, May.
    6. Bartolucci, Francesco & Pigini, Claudia, 2017. "Granger causality in dynamic binary short panel data models," MPRA Paper 77486, University Library of Munich, Germany.
    7. Massimo G. Colombo & Luca Grilli & Cinzia Verga, 2007. "High-tech Start-up Access to Public Funds and Venture Capital: Evidence from Italy," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(3), pages 381-402.
    8. Myung Ki & Yvonne Kelly & Amanda Sacker & James Nazroo, 2013. "Poor health, employment transitions and gender: evidence from the British Household Panel Survey," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 537-546, August.
    9. Giraudo, Emanuele & Giudici, Giancarlo & Grilli, Luca, 2019. "Entrepreneurship policy and the financing of young innovative companies: Evidence from the Italian Startup Act," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    10. Ovielt Baltodano L'opez & Roberto Casarin, 2022. "A Dynamic Stochastic Block Model for Multi-Layer Networks," Papers 2209.09354, arXiv.org.
    11. Garrone, Paola & Zaccagnino, Michele, 2015. "Seeking the links between competition and telecommunications investments," Telecommunications Policy, Elsevier, vol. 39(5), pages 388-405.
    12. Saibal Ghosh, 2019. "Financial inclusion through a public works programme: Does left‐wing extremism make a difference?," Development Policy Review, Overseas Development Institute, vol. 37(1), pages 19-45, January.
    13. Matthieu Droumaguet & Anders Warne & Tomasz Wozniak, 2015. "Granger Causality and Regime Inference in Bayesian Markov-Switching VARs," Department of Economics - Working Papers Series 1191, The University of Melbourne.
    14. Alfonso Miranda, 2010. "Bivariate dynamic probit models for panel data," Mexican Stata Users' Group Meetings 2010 07, Stata Users Group.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 2002-07-10 2019-04-29
  2. NEP-CDM: Collective Decision-Making (1) 2013-06-16
  3. NEP-ETS: Econometric Time Series (1) 2002-07-04
  4. NEP-EXP: Experimental Economics (1) 2019-04-29
  5. NEP-HME: Heterodox Microeconomics (1) 2020-10-12

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