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Volunteering, Match Quality, and Internet Use

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  • Eike Emrich
  • Christian Pierdzioch

Abstract

We use boosted regression trees to study the interplay between match quality and Internet use of volunteers. Match quality reflects the congruence of volunteers’ motives for doing volunteer work and their utility experiences. Using data from an online survey questionnaire of volunteers working for the German Red Cross, we find a positive correlation between match quality and social media use and, to a lesser extent, the intensity of volunteering-related Internet use. We study the relative importance of Internet use and other control variables for match quality, the partial dependence of match quality on Internet use and the control variables, and the interaction of Internet use with the control variables.

Suggested Citation

  • Eike Emrich & Christian Pierdzioch, 2016. "Volunteering, Match Quality, and Internet Use," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 136(2), pages 199-226.
    • Handle: RePEc:dah:aeqsjb:v136_y2016_i2_q2_p199-226
    DOI: 10.3790/schm.136.2.199
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    Cited by:

    1. Emrich Eike & Pierdzioch Christian, 2016. "Public Goods, Private Consumption, and Human Capital: Using Boosted Regression Trees to Model Volunteer Labour Supply," Review of Economics, De Gruyter, vol. 67(3), pages 263-283, December.
    2. Behrens, Christoph & Emrich, Eike & Hämmerle, Martin & Pierdzioch, Christian, 2017. "Match quality, crowding out, and crowding in: Empirical evidence for German sports clubs," Working Papers of the European Institute for Socioeconomics 21, European Institute for Socioeconomics (EIS), Saarbrücken.

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