REECAP replication project


REECAP is considering coordinating a submission to the Special Issue on ‘Replications in Agricultural Economics’ in Applied Economic Perspectives and Policy.

Ahead of this, we would like to gather REECAP members’ interest and ideas through this short questionnaire.

We would like to replicate a published piece of research using economic experiments (lab, lab-in-the-field or discrete choice experiments) that informs the evaluation and design of agricultural policies. We envisage applying the protocol developed in the original research with new samples, using farmer subjects and across several countries.

REECAP will endorse and support the implementation of 1 to 2 replication study(ies) to be submitted to the Special Issue. Even though we are not able to support all initiatives, REECAP will also use responses to the questionnaire to put in contact authors that might have similar and complementary interests, if they wish so, so that they can go ahead with their own replication project.

The REECAP board will choose which project to support based on the following criteria :

  • Quality and impact of the original paper

  • Relevance for REECAP goals (experimental approaches / policy relevance for current CAP reform)

  • Feasibility and ambition of the project (projects should be ambitious, but also doable)

Key steps of the process

  • 19th October: replication webinar

  • Authors to signal interest and submit ideas through this questionnaire by November 6th

  • Outcome of the selection process: November, 20, 2020

  • Authors to confirm willingness to take part in REECAP replication study: November, 27, 2020

  • Concept notes submitted to AEPP: January 15, 2021

  • Full paper submitted to AEPP: January, 15, 2022

Expected timeline for the REECAP replication study(ies)

  • Programming of the protocol in English (or other language more relevant), financed by REECAP: February 2021

  • Translation and pilot in each region where the experiment will be replicated: March 2021

  • Data collection (spring - summer 2021)

  • Joint data analysis (summer - autumn 2021)

  • Discussion with and feedback from the authors of the original paper (autumn 2021)