Yves Le Yaouanq

Ludwig Maximilian University of Munich (LMU)

Geschwister-Scholl-Platz 1

Munich, DE Bavaria 80539

Germany

SCHOLARLY PAPERS

4

DOWNLOADS

108

SSRN CITATIONS

0

CROSSREF CITATIONS

5

Scholarly Papers (4)

1.

Behavioral Characterizations of Naiveté for Time-Inconsistent Preferences

Economic Research Initiatives at Duke (ERID) Working Paper No. 238
Number of pages: 60 Posted: 17 Nov 2016
David S. Ahn, Ryota Iijima, Yves Le Yaouanq and Todd Sarver
University of California, Berkeley - Department of Economics, Yale University, Law School, Students, Ludwig Maximilian University of Munich (LMU) and Duke University - Department of Economics
Downloads 64 (375,312)

Abstract:

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Naive, Sophisticated, Time Inconsistent, Comparative Statics

2.

Behavioral Characterizations of Naiveté for Time-Inconsistent Preferences

Cowles Foundation Discussion Paper No. 2074R
Number of pages: 58 Posted: 03 Dec 2018
David S. Ahn, Ryota Iijima, Yves Le Yaouanq and Todd Sarver
University of California, Berkeley - Department of Economics, Yale University - Cowles Foundation, Ludwig Maximilian University of Munich (LMU) and Duke University - Department of Economics
Downloads 27 (523,957)
Citation 2

Abstract:

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Naive, Sophisticated, Time Inconsistent, Comparative Statics

3.

Behavioral Characterizations of Naivete for Time-Inconsistent Preferences

Economic Research Initiatives at Duke (ERID) Working Paper No. 238, rev.
Number of pages: 58 Posted: 22 Aug 2018
David S. Ahn, Ryota Iijima, Yves Le Yaouanq and Todd Sarver
University of California, Berkeley - Department of Economics, Yale University - Cowles Foundation, Ludwig Maximilian University of Munich (LMU) and Duke University - Department of Economics
Downloads 17 (586,200)
Citation 5

Abstract:

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Naive, sophisticated, time inconsistent, comparative statics

4.

Learning About One's Self

CEPR Discussion Paper No. DP13510
Number of pages: 40 Posted: 11 Feb 2019
Yves Le Yaouanq and Peter Schwardmann
Ludwig Maximilian University of Munich (LMU) and Ludwig Maximilian University of Munich (LMU)
Downloads 0 (726,093)
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Abstract:

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Bayesian updating, learning, Naivete, present bias