Using machine learning to predict auditor switches: How the likelihood of switching affects audit quality among non-switching clients

•We estimate the probability of switching auditors using machine learning techniques.•Our predicted probability of switching auditors is associated with lower audit quality among companies remaining with their incumbent auditor.•Our findings suggest that auditors may sacrifice audit quality to retain clients that might otherwise switch.•Our methodology is implementable to preemptively address potential deteriorated audit quality.