Overconfidence in Business, Economics, Finance, and Psychology: How much of a Problem is it?
dizertační práce (OBHÁJENO)

Zobrazit/ otevřít
Trvalý odkaz
http://hdl.handle.net/20.500.11956/21561Identifikátory
SIS: 78957
Kolekce
- Kvalifikační práce [18350]
Autor
Vedoucí práce
Oponent práce
Hoelzl, Erik
Fellner, Gerlinde
Fakulta / součást
Fakulta sociálních věd
Obor
Ekonomie
Katedra / ústav / klinika
CERGE
Datum obhajoby
4. 6. 2009
Nakladatel
Univerzita Karlova, Fakulta sociálních vědJazyk
Angličtina
Známka
Prospěl/a
Marian Krajc Abstract The first chapter offers a theoretical model that suggests an alternative explanation to the so- called unskilled-and-unaware problem - the unskilled overestimate their skills while the skilled underestimate (but less than the unskilled). The unskilled-and-unaware problem was experimentally identified about a decade ago and numerous authors have elaborated on this problem since. We propose that the alleged unskilled-and-unaware problem, rather than being one of biased judgments, is a signal extraction problem that differs for the skilled and the unskilled. The model is based on two assumptions. First, we assume that skills are distributed according to a J-distribution, which can be regarded as an approximation of the very right tail of the IQ distribution. This assumption is reasonable given the typical subject pool used in the experimental studies of overconfidence - students from prominent US universities. Second, we assume an error term in own-ability perception, which is a common assumption in psychology models. Our simple model generates, by means of analytical computations, patterns similar to those identified in the previous experimental literature. We also discuss conditions under which the unskilled-and-unaware problem should disappear. The second chapter reports the results...
The first chapter offers a theoretical model that suggests an alternative explanation to the so-called unskilled-and-unaware problem-the unskilled overestimate their skills while the skilled underestimate (but less than the unskilled). The unskilled-and-unaware problem was experimentally identified about a decade ago and numerous authors have elaborated on this problem since. We propose that the alleged unskilled-and-unaware problem, rather than being one of biased judgments, is a signal extraction problem that differs for the skilled and the unskilled. The model is based on two assumptions. First, we assume that skills are distributed according to a J-distribution, which can be regarded as an approximation of the very right tail of the IQ distribution. This assumption is reasonable given the typical subject pool used in the experimental studies of overconfidence - students from prominent US universities. Second, we assume an error term in own-ability perception, which is a common assumption in psychology models. Our simple model generates, by means of analytical computations, patterns similar to those identified in the previous experimental literature. We also discuss conditions under which the unskilled-and-unaware problem should disappear. The second chapter reports the results of three experiments (one...