Publication bias in simulation model studies: The case of ethanol literature.

ABSTRACT: In this study, we explore the potential for publication bias using market simulation results that estimate the effect of US ethanol expansion on corn prices. We provide a new test of whether the publication process routes market simulation results into one of the following two narratives: food-versus-fuel or greenhouse gas (GHG) emissions. Our research question is whether model results with either high price or large land impact are favored for publication in one body of literature or the other. In other words, a model that generates larger price effects might be more readily published in the food-versus-fuel literature while a model that generates larger land use change and GHG emissions might find a home in the GHG emission literature. We develop a test for publication bias based on matc

SUBMITTER: Thompson W 

PROVIDER: S-EPMC10159346 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature