IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to follow this author

Victor H. Aguiar

This is information that was supplied by Victor Aguiar in registering through RePEc. If you are Victor H. Aguiar., you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name:Victor
Middle Name:H.
Last Name:Aguiar
RePEc Short-ID:pag44
London, Canada

: (519) 661-3500
(519) 661-3666
Faculty of Social Sciences, London, Ontario, N6A 5C2
RePEc:edi:deuwoca (more details at EDIRC)
in new window
  1. Victor H. Aguiar, 2016. "Random Categorization and Bounded Rationality," UWO Department of Economics Working Papers 20163, University of Western Ontario, Department of Economics.
  2. Victor Aguiar & Roland Pongou & Jean-Baptiste Tondji, 2016. "Measuring and Decomposing the Distance to the Shapley Wage Function with Limited Data," Working Papers 1613e, University of Ottawa, Department of Economics.
  3. Victor Aguiar & Maria Jose Boccardi & Mark Dean, 2015. "Satisficing and Stochastic Choice," Working Papers 2015-8, Brown University, Department of Economics.
  4. Victor Aguiar & Roberto Serrano, 2015. "Slutsky Matrix Norms and Revealed Preference Tests of Consumer Behaviour," Working Papers 2015-1, Brown University, Department of Economics.
  5. Castro, Luis & Aguiar, Victor & Sáenz, Mayra, 2014. "Análisis de la reforma tributaria en el Ecuador, 2001-2012," Macroeconomía del Desarrollo 143, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  6. Victor H. Aguiar & Roberto Serrano, 2013. "Slutsky Matrix Norms and the Size of Bounded Rationality," Working Papers 2013-16, Brown University, Department of Economics.
  1. Aguiar, Victor H., 2017. "Random categorization and bounded rationality," Economics Letters, Elsevier, vol. 159(C), pages 46-52.
  2. Aguiar, Victor H. & Boccardi, Maria Jose & Dean, Mark, 2016. "Satisficing and stochastic choice," Journal of Economic Theory, Elsevier, vol. 166(C), pages 445-482.
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 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-MIC: Microeconomics (3) 2015-01-31 2015-09-11 2016-09-18. Author is listed
  2. NEP-LMA: Labor Markets - Supply, Demand, & Wages (2) 2016-09-18 2016-10-02. Author is listed
  3. NEP-SOG: Sociology of Economics (2) 2016-09-18 2016-09-18. Author is listed
  4. NEP-ECM: Econometrics (1) 2015-01-31
  5. NEP-GTH: Game Theory (1) 2016-09-18
  6. NEP-ORE: Operations Research (1) 2016-09-18
  7. NEP-UPT: Utility Models & Prospect Theory (1) 2016-09-18

Most cited item

Most downloaded item (past 12 months)

Access and download statistics for all items

Co-authorship network on CollEc

All material on this site has been provided by the respective publishers and uathors. 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, Victor Aguiar 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.