Ecological Inference via Information Theory // Estimates RxC transfer matrices from aggregated marginal data using a two- stage (GME+IPF) information-theoretic approach within a two- step (global+local) estimation procedure. The resulting matrices are consistent with observed row and column marginals across collections of subtables (e.g. precincts, polling stations, or districts). References: Golan, A., Judge, G., Miller, D. (1996). Maximum Entropy Econometrics: Robust Estimation with Limited Data. Wiley. Judge, G., Miller, D.J., Cho, W.K.T. (2004). An information theoretic approach to ecological estimation and inference. In G. King, O. Rosen, M. A. Tanner (Eds.), Ecological Inference: New Methodological Strategies (pp. 162187). Cambridge University Press. Mittelhammer, R., Judge, G., Miller, D. (2000). Econometric Foundations. Cambridge University Press. Pavia, J.M. (2023) doi:10.1007/s43545-023-00658-y Acknowledgements: The author wish to thank Conselleria de Economia, Hacienda y Administracion Publica (grant CIACIO/2023/031) for supporting this research.