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Joaquin Navajas

Personal Details

First Name:Joaquin
Middle Name:
Last Name:Navajas
Suffix:
RePEc Short-ID:pna775
https://sites.google.com/view/joaquin-navajas

Affiliation

Escuela de Negocios
Universidad Torcuato Di Tella

Buenos Aires, Argentina
http://www.utdt.edu//ver_contenido.php?id_contenido=100&id_item_menu=429
RePEc:edi:eeutdar (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Kai Ruggeri & Amma Panin & Milica Vdovic & Bojana Većkalov & Nazeer Abdul-Salaam & Jascha Achterberg & Carla Akil & Jolly Amatya & Kanchan Amatya & Thomas Lind Andersen & Sibele D. Aquino & Arjoon Aru, 2022. "The globalizability of temporal discounting," Nature Human Behaviour, Nature, vol. 6(10), pages 1386-1397, October.
  2. Lucia Freira & Marco Sartorio & Cynthia Boruchowicz & Florencia Lopez Boo & Joaquin Navajas, 2021. "The interplay between partisanship, forecasted COVID-19 deaths, and support for preventive policies," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.
  3. Joaquin Navajas & Tamara Niella & Gerry Garbulsky & Bahador Bahrami & Mariano Sigman, 2018. "Aggregated knowledge from a small number of debates outperforms the wisdom of large crowds," Nature Human Behaviour, Nature, vol. 2(2), pages 126-132, February.
  4. Joaquin Navajas & Chandni Hindocha & Hebah Foda & Mehdi Keramati & Peter E. Latham & Bahador Bahrami, 2017. "The idiosyncratic nature of confidence," Nature Human Behaviour, Nature, vol. 1(11), pages 810-818, November.

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.

Articles

  1. Kai Ruggeri & Amma Panin & Milica Vdovic & Bojana Većkalov & Nazeer Abdul-Salaam & Jascha Achterberg & Carla Akil & Jolly Amatya & Kanchan Amatya & Thomas Lind Andersen & Sibele D. Aquino & Arjoon Aru, 2022. "The globalizability of temporal discounting," Nature Human Behaviour, Nature, vol. 6(10), pages 1386-1397, October.

    Cited by:

    1. Emilio Ocampo, 2023. "Dollarization as an Effective Commitment Device: The Case of Argentina," CEMA Working Papers: Serie Documentos de Trabajo. 848, Universidad del CEMA.

  2. Lucia Freira & Marco Sartorio & Cynthia Boruchowicz & Florencia Lopez Boo & Joaquin Navajas, 2021. "The interplay between partisanship, forecasted COVID-19 deaths, and support for preventive policies," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.

    Cited by:

    1. Elena Fumagalli & Candelaria Belén Krick & Marina Belén Dolmatzian & Julieta Edith Del Negro & Joaquin Navajas, 2023. "Partisanship predicts COVID-19 vaccine brand preference: the case of Argentina," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    2. Chiara Natalie Focacci & Pak Hung Lam & Yu Bai, 2022. "Choosing the right COVID-19 indicator: crude mortality, case fatality, and infection fatality rates influence policy preferences, behaviour, and understanding," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.

  3. Joaquin Navajas & Tamara Niella & Gerry Garbulsky & Bahador Bahrami & Mariano Sigman, 2018. "Aggregated knowledge from a small number of debates outperforms the wisdom of large crowds," Nature Human Behaviour, Nature, vol. 2(2), pages 126-132, February.

    Cited by:

    1. Valeria Burdea & Jonathan Woon, 2023. "Getting it Right: Communication, Voting, and Collective Truth Finding," Rationality and Competition Discussion Paper Series 443, CRC TRR 190 Rationality and Competition.
    2. Mavrodiev, Pavlin & Schweitzer, Frank, 2021. "The ambigous role of social influence on the wisdom of crowds: An analytic approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    3. Joshua Aaron Becker & Douglas Guilbeault & Edward Bishop Smith, 2022. "The Crowd Classification Problem: Social Dynamics of Binary-Choice Accuracy," Management Science, INFORMS, vol. 68(5), pages 3949-3965, May.
    4. Mariam Maki Sy & Charles C. Figuières & Helene Rey-Valette & Richard B Howarth, 2021. "Valuation of Ecosystem Services and Social Choice: The Impact of Deliberation in the context of two different Aggregation Rules," AMSE Working Papers 2107, Aix-Marseille School of Economics, France.
    5. Joshua Becker & Douglas Guilbeault & Ned Smith, 2021. "The Crowd Classification Problem: Social Dynamics of Binary Choice Accuracy," Papers 2104.11300, arXiv.org.
    6. Jon Atwell & Marlon Twyman II, 2023. "Metawisdom of the Crowd: How Choice Within Aided Decision Making Can Make Crowd Wisdom Robust," Papers 2308.15451, arXiv.org.
    7. Boris Maciejovsky & David V. Budescu, 2020. "Too Much Trust in Group Decisions: Uncovering Hidden Profiles by Groups and Markets," Organization Science, INFORMS, vol. 31(6), pages 1497-1514, November.

  4. Joaquin Navajas & Chandni Hindocha & Hebah Foda & Mehdi Keramati & Peter E. Latham & Bahador Bahrami, 2017. "The idiosyncratic nature of confidence," Nature Human Behaviour, Nature, vol. 1(11), pages 810-818, November.

    Cited by:

    1. Lejarraga, Tomás & Lejarraga, José, 2020. "Confidence and the description–experience distinction," Organizational Behavior and Human Decision Processes, Elsevier, vol. 161(C), pages 201-212.
    2. William T Adler & Wei Ji Ma, 2018. "Comparing Bayesian and non-Bayesian accounts of human confidence reports," PLOS Computational Biology, Public Library of Science, vol. 14(11), pages 1-34, November.
    3. Marine Hainguerlot & Thibault Gajdos & Jean-Christophe Vergnaud & Vincent de Gardelle, 2023. "How Overconfidence Bias Influences Suboptimality in Perceptual Decision Making," Post-Print hal-04197403, HAL.
    4. Manuel Rausch & Michael Zehetleitner, 2019. "The folded X-pattern is not necessarily a statistical signature of decision confidence," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-18, October.
    5. Florent Meyniel, 2020. "Brain dynamics for confidence-weighted learning," PLOS Computational Biology, Public Library of Science, vol. 16(6), pages 1-27, June.
    6. Uri Hertz & Bahador Bahrami & Mehdi Keramati, 2018. "Stochastic satisficing account of confidence in uncertain value-based decisions," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-23, April.
    7. Micha Heilbron & Florent Meyniel, 2019. "Confidence resets reveal hierarchical adaptive learning in humans," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-24, April.

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Co-authorship network on CollEc

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