Digital Addiction (Record no. 520664)

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fixed length control field 01196nam a22001577a 4500
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fixed length control field 220930b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Allcott,H. Gentzkow, M. and Song, L.
245 ## - TITLE STATEMENT
Title Digital Addiction
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc The American Economic Review
300 ## - PHYSICAL DESCRIPTION
Extent 112(7), Jul, 2022: p.2424-2463
520 ## - SUMMARY, ETC.
Summary, etc Many have argued that digital technologies such as smartphones and social media are addictive. We develop an economic model of digital addiction and estimate it using a randomized experiment. Temporary incentives to reduce social media use have persistent effects, suggesting social media are habit forming. Allowing people to set limits on their future screen time substantially reduces use, suggesting self-control problems. Additional evidence suggests people are inattentive to habit formation and partially unaware of self-control problems. Looking at these facts through the lens of our model suggests that self-control problems cause 31 percent of social media use. – Reproduced
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Digital technologies, Smartphones, Social media, Digital addiction
9 (RLIN) 34706
773 ## - HOST ITEM ENTRY
Main entry heading The American Economic Review
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
Subject DIP DIGITAL ADDICTION
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2022-09-30 112(7), Jul, 2022: p.2424-2463 AR127247 2022-09-30 Articles

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