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Replication Data for: Trust in Traditional Finance and Consumer FinTech Adoption

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Trust in Traditional Finance and Consumer FinTech Adoption
 
Identifier https://doi.org/10.7910/DVN/JA8FFI
 
Creator Deniz Okat
Mikael Paaso
Vesa Pursiainen
 
Publisher Harvard Dataverse
 
Description This page contains the replication codes for our paper "Trust in Traditional Finance and Consumer FinTech Adoption"

As the paper consists of three separate analyses, an online lab experiment, a "website experiment" and an analysis of LISS survey data, we provide separate code and pseudodata (except in the case of the online lab experiment, where full anonymized data can be provided). The pseudodata in the LISS study are an anonymized version of the actual data, so that the variables look "similar" to the actual data but do not retain the same distributional properties. The pseudodata for the website experiment simply serve to show how the data look like.

In order to access the data used in our analysis of LISS data, you can refer to the LISS Data Archive (our data are under user-submitted wave "Payment Apps").
 
Subject Business and Management
Social Sciences
 
Date 2024-02-22
 
Contributor Paaso, Mikael