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Habit formation in consumption: A meta-analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F17%3A10360465" target="_blank" >RIV/00216208:11230/17:10360465 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.euroecorev.2017.03.009" target="_blank" >http://dx.doi.org/10.1016/j.euroecorev.2017.03.009</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.euroecorev.2017.03.009" target="_blank" >10.1016/j.euroecorev.2017.03.009</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Habit formation in consumption: A meta-analysis

  • Original language description

    We examine 597 estimates of habit formation reported in 81 published studies. The mean reported strength of habit formation equals 0.4, but the estimates vary widely both within and across studies. We use Bayesian and frequentist model averaging to assign a pattern to this variance while taking into account model uncertainty. Studies employing macro data report consistently larger estimates than micro studies: 0.6 vs. 0.1 on average. The difference remains 0.5 when we control for 30 factOrs that reflect the context in which researchers obtain their estimates, such as data frequency, geographical coverage, variable definition, estimation approach, and publication characteristics. We also find that evidence for habits strengthens when researchers use lower data frequencies, employ log-linear approximation of the Euler equation, and utilize open-economy DSGE models. Moreover, estimates of habits differ systematically across countries. (C) 2017 Elsevier B.V. All rights &apos;reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

    <a href="/en/project/GA15-02411S" target="_blank" >GA15-02411S: Development and Applications of Meta-Regression Methods in Economics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    European Economic Review

  • ISSN

    0014-2921

  • e-ISSN

  • Volume of the periodical

    95

  • Issue of the periodical within the volume

    June

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    26

  • Pages from-to

    142-167

  • UT code for WoS article

    000402492600008

  • EID of the result in the Scopus database

    2-s2.0-85017242354