| Popis: |
Risk preferences are relevant for farmers’ decision-making (e.g., adoption of technologies and practices, crop selection, diversification, crop insurances). Although there is a rich literature on farmers’ risk preferences (e.g., Iyer et al., 2020), we lack systematic assessments as most of the surveys conducted are often i) cross-sectional ii) based on small samples or convenience groups, and iii) apply different elicitation methods. These aspects raise concerns regarding sampling noise, external validity, and the possibility to compare risk preferences across settings. For this reason, we aim at constructing a comprehensive dataset of farmers’ preferences to obtain generalizable results about its distribution and main correlates (i.e., determinants and outcomes), through an Individual Participant Data meta-analysis. We focus on the risk preferences of European farmers, building upon the work of Iyer et al. (2020) who conducted a systematic review. We expand this work in several directions: i) we increase the timeframe of studies included, ii) we identify the correlates of risk preferences, and iii) we conduct an Individual Participant Data meta-analysis, i.e., not only describe outcomes of individual studies but use the original underlying data that allows us to discuss distributional aspects of risk preferences systematically. Altogether, this analysis will allow us to address current questions in the literature regarding differences in farmers’ risk preferences and comparability across countries, agricultural activities, and farmers’ attributes. Method: The method is envisioned as a five-step procedure: i) A systematic review of peer-reviewed literature, i) followed by data extraction, iii) identification of suitable datasets, iv) harmonization and finally, v) a meta-analysis. The first step will rely on a search in different bibliographic databases, i.e., Scopus, Web of Science and Wiley Online Database. Keywords: Meta-analysis, Individual Participant Data (IPD), Risk preferences, Europe |
