Santiago Pereda-Fernández
(Santiago Pereda-Fernandez)

Personal Details

First Name:	Santiago
Middle Name:
Last Name:	Pereda-Fernandez
Suffix:
RePEc Short-ID:	ppe707
	[This author has chosen not to make the email address public]
	https://sites.google.com/site/santiagopereda/
Terminal Degree:	2014 Department of Economics; University of California-Berkeley (from RePEc Genealogy)

Affiliation

(1%) Banca d'Italia

Roma, Italy
http://www.bancaditalia.it/
RePEc:edi:bdigvit (more details at EDIRC)

(99%) Facultad de Ciencias Económicas y Empresariales
Universidad de Cantabria

Santander, Spain
http://www.fceye.unican.es/
RePEc:edi:fecanes (more details at EDIRC)

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. Francesca Modena & Giulia Martina Tanzi & Santiago Pereda Fernandez, 2020. "On the design of grant assignment rules," Temi di discussione (Economic working papers) 1307, Bank of Italy, Economic Research and International Relations Area.

   Cited by:

   1. Cristina Angelico & Juri Marcucci & Marcello Miccoli & Filippo Quarta, 2021. "Can we measure inflation expectations using Twitter?," Temi di discussione (Economic working papers) 1318, Bank of Italy, Economic Research and International Relations Area.
      • Angelico, Cristina & Marcucci, Juri & Miccoli, Marcello & Quarta, Filippo, 2022. "Can we measure inflation expectations using Twitter?," Journal of Econometrics, Elsevier, vol. 228(2), pages 259-277.

2. Santiago Pereda Fernández, 2016. "A new method for the correction of test scores manipulation," Temi di discussione (Economic working papers) 1047, Bank of Italy, Economic Research and International Relations Area.

   Cited by:

   1. Andrea Brandolini & Francesca Carta, 2016. "Some reflections on the social welfare bases of the measurement of global income inequality," Temi di discussione (Economic working papers) 1070, Bank of Italy, Economic Research and International Relations Area.
      • Brandolini Andrea & Carta Francesca, 2016. "Some Reflections on the Social Welfare Bases of the Measurement of Global Income Inequality," Journal of Globalization and Development, De Gruyter, vol. 7(1), pages 1-15, June.
   2. Sergio Longobardi & Patrizia Falzetti & Margherita Maria Pagliuca, 2018. "Quis custiodet ipsos custodes? How to detect and correct teacher cheating in Italian student data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(3), pages 515-543, August.
   3. Palazzo, Francesco, 2017. "Search costs and the severity of adverse selection," Research in Economics, Elsevier, vol. 71(1), pages 171-197.
      • Francesco Palazzo, 2016. "Search costs and the severity of adverse selection," Temi di discussione (Economic working papers) 1073, Bank of Italy, Economic Research and International Relations Area.

3. Santiago Pereda Fernández, 2016. "Copula-based random effects models for clustered data," Temi di discussione (Economic working papers) 1092, Bank of Italy, Economic Research and International Relations Area.
   • Santiago Pereda-Fernández, 2021. "Copula-Based Random Effects Models for Clustered Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 575-588, March.

   Cited by:

   1. Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
      • Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
   2. Concetta Rondinelli & Roberta Zizza, 2020. "Spend today or spend tomorrow? The role of inflation expectations in consumer behaviour," Temi di discussione (Economic working papers) 1276, Bank of Italy, Economic Research and International Relations Area.

4. Santiago Pereda Fernández, 2016. "Estimation of counterfactual distributions with a continuous endogenous treatment," Temi di discussione (Economic working papers) 1053, Bank of Italy, Economic Research and International Relations Area.

   Cited by:

   1. Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
      • Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
   2. David Powell, 2020. "Quantile Treatment Effects in the Presence of Covariates," The Review of Economics and Statistics, MIT Press, vol. 102(5), pages 994-1005, December.

Articles

1. Santiago Pereda-Fernández, 2021. "Copula-Based Random Effects Models for Clustered Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 575-588, March.
   • Santiago Pereda Fernández, 2016. "Copula-based random effects models for clustered data," Temi di discussione (Economic working papers) 1092, Bank of Italy, Economic Research and International Relations Area.
   See citations under working paper version above.
2. Domenico Depalo & Santiago Pereda-Fernández, 2020. "Consistent estimates of the public/private wage gap," Empirical Economics, Springer, vol. 58(6), pages 2937-2947, June.

   Cited by:

   1. Andrea Camilli & Pedro Gomes, 2023. "Public employment and homeownership dynamics," Public Choice, Springer, vol. 194(1), pages 101-155, January.

3. Santiago Pereda-Fernández, 2019. "Teachers and Cheaters: Just an Anagram?," Journal of Human Capital, University of Chicago Press, vol. 13(4), pages 635-669.

   Cited by:

   1. Concetta Rondinelli & Roberta Zizza, 2020. "Spend today or spend tomorrow? The role of inflation expectations in consumer behaviour," Temi di discussione (Economic working papers) 1276, Bank of Italy, Economic Research and International Relations Area.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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 5 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 (4) 2016-02-17 2016-03-23 2017-01-08 2019-04-01. Author is listed
2. NEP-EDU: Education (2) 2016-02-17 2021-01-11. Author is listed
3. NEP-EUR: Microeconomic European Issues (1) 2021-01-11

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