We study the pattern of correlations across a large number of behavioral regularities, with the goal of creating an empirical basis for more comprehensive theories of decision-making. We elicit 21 behaviors, using an incentivized survey on a representative sample (n=1,000 ) of the US population. Our data show a clear and relatively simple structure underlying the correlations between these measures. Using principal components analysis, we reduce the 21 variables to six components corresponding to clear clusters of high correlations. We examine the relationship between these components, cognitive ability, and demographics. Common extant theories are not compatible with all the patterns in our data.

Econographics / Jonathan Chapman; Erik Snowberg; Mark Dean; Pietro Ortoleva; Colin Camerer. - ELETTRONICO. - 1:1(2023), pp. 115-161. [10.1086/723044]

Econographics

Jonathan Chapman;Erik Snowberg;
2023

Abstract

We study the pattern of correlations across a large number of behavioral regularities, with the goal of creating an empirical basis for more comprehensive theories of decision-making. We elicit 21 behaviors, using an incentivized survey on a representative sample (n=1,000 ) of the US population. Our data show a clear and relatively simple structure underlying the correlations between these measures. Using principal components analysis, we reduce the 21 variables to six components corresponding to clear clusters of high correlations. We examine the relationship between these components, cognitive ability, and demographics. Common extant theories are not compatible with all the patterns in our data.
2023
Econographics / Jonathan Chapman; Erik Snowberg; Mark Dean; Pietro Ortoleva; Colin Camerer. - ELETTRONICO. - 1:1(2023), pp. 115-161. [10.1086/723044]
Jonathan Chapman; Erik Snowberg; Mark Dean; Pietro Ortoleva; Colin Camerer
File in questo prodotto:
File Dimensione Formato  
20220513econographics.pdf

Open Access dal 05/01/2024

Tipo: Postprint
Licenza: Licenza per accesso libero gratuito
Dimensione 997.04 kB
Formato Adobe PDF
997.04 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/921500
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact