Before revision:  We develop a stochastic  model and associated mean field limit to capture dynamics in such systems , and use our model to investigate how performance of these estimators is affected by interference effects between listings and between customers. Good experimental design depends on market balance: we show that in highly demand-constrained markets, CR is unbiased, while LR is biased;
After revision:  We develop a stochastic model and associated mean field limit to capture dynamics in such systems , and use our model to investigate how performance of these estimators is affected by marketplace interference effects. Platforms typically use two common experimental designs: demand-side ("customer") randomization (CR) and supply-side ("listing") randomization (LR), along with their associated estimators. We show that good experimental design depends on market balance: we show that in highly demand-constrained markets, CR is unbiased, while LR is biased;