Počet záznamů: 1
Learning in network games
- 1.
SYSNO ASEP 0490145 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Learning in network games Tvůrce(i) Kovářík, Jaromír (NHU-N)
Mengel, F. (GB)
Romero, J. G. (CL)Zdroj.dok. Quantitative Economics . - : Wiley - ISSN 1759-7323
Roč. 9, č. 1 (2018), s. 85-139Poč.str. 55 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova experiments ; game theory ; heterogeneity Vědní obor RIV AH - Ekonomie Obor OECD Applied Economics, Econometrics CEP GA14-22044S GA ČR - Grantová agentura ČR Institucionální podpora NHU-N - RVO:67985998 UT WOS 000430061200003 EID SCOPUS 85045420059 DOI 10.3982/QE688 Anotace We report the findings of experiments designed to study how people learn in network games. Network games offer new opportunities to identify learning rules, since on networks (compared to, e.g., random matching) more rules differ in terms of their information requirements. Our experimental design enables us to observe both which actions participants choose and which information they consult before making their choices. We use these data to estimate learning types using finite mixture models. Monitoring information requests turns out to be crucial, as estimates based on choices alone show substantial biases. We also find that learning depends on network position. Participants in more complex environments (with more network neighbors) tend to resort to simpler rules compared to those with only one network neighbor. Pracoviště Národohospodářský ústav Kontakt Tomáš Pavela, pavela@cerge-ei.cz, Tel.: 224 005 122 Rok sběru 2019
Počet záznamů: 1