TY - JOUR A1 - Wucherpfennig, Julian A1 - Kachi, Aya A1 - Bormann, Nils-Christian A1 - Hunziker, Philipp T1 - A Fast Estimator for Binary Choice Models with Spatial, Temporal, and Spatio-Temporal Interdependence JF - Political Analysis N2 - Binary outcome models are frequently used in the social sciences and economics. However, such models are difficult to estimate with interdependent data structures, including spatial, temporal, and spatio-temporal autocorrelation because jointly determined error terms in the reduced-form specification are generally analytically intractable. To deal with this problem, simulation-based approaches have been proposed. However, these approaches (i) are computationally intensive and impractical for sizable datasets commonly used in contemporary research, and (ii) rarely address temporal interdependence. As a way forward, we demonstrate how to reduce the computational burden significantly by (i) introducing analytically-tractable pseudo maximum likelihood estimators for latent binary choice models that exhibit interdependence across space and time and by (ii) proposing an implementation strategy that increases computational efficiency considerably. Monte Carlo experiments show that our estimators recover the parameter values as good as commonly used estimation alternatives and require only a fraction of the computational cost. Y1 - 2021 U6 - https://doi.org/10.1017/pan.2020.54 VL - 29(4) SP - 570 EP - 576 ER - TY - JOUR A1 - Bormann, Nils-Christian A1 - Cederman, Lars-Erik A1 - Gates, Scott A1 - Graham, Benjamin A.T. A1 - Hug, Simon A1 - Strom, Kaare A1 - Wucherpfennig, Julian T1 - Power Sharing: Institutions, Behavior, and Peace JF - American Journal of Political Science Y1 - 2019 U6 - https://doi.org/10.1111/ajps.12407 VL - 63 IS - 1 SP - 84 EP - 100 ER -