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  "Description": "Estimates RxC transfer matrices from aggregated marginal\ndata using a two-stage (GME+IPF) information-theoretic approach\nwithin a two-step (global+local) estimation procedure. The\nresulting matrices are consistent with observed row and column\nmarginals across collections of subtables (e.g. precincts,\npolling stations, or districts). References: Golan, A., Judge,\nG., & Miller, D. (1996). Maximum Entropy Econometrics: Robust\nEstimation with Limited Data. Wiley. Judge, G., Miller, D.J., &\nCho, W.K.T. (2004). An information theoretic approach to\necological estimation and inference. In G. King, O. Rosen, & M.\nA. Tanner (Eds.), Ecological Inference: New Methodological\nStrategies (pp. 162–187). Cambridge University Press.\nMittelhammer, R., Judge, G., & Miller, D. (2000). Econometric\nFoundations. Cambridge University Press. Pavia, J.M. (2023)\n<doi:10.1007/s43545-023-00658-y> Acknowledgements: The author\nwish to thank Conselleria de Economia, Hacienda y\nAdministracion Publica (grant CIACIO/2023/031) for supporting\nthis research.",
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