Predicting Government Non Responsiveness to Freedom of Information Requests with Supervised Latent Dirichlet Allocation
Understanding government responsiveness to citizen information requests is important to theories of political accountability, as well as to practitioners' abilities to monitor and improve this crucial transparency mechanism. We use supervised latent Dirichlet allocation techniques to predict the Mexican government's (non)responsiveness to all federal information requests filed during the period 2003 2015. After presenting our approach, we assess its value added in both the in sample and out of sample settings.