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Developments in Positive Empirical Models of Election Frauds: Dimensions and Decisions

We present new developments regarding positive empirical models of election frauds. We further develop the general framework for Bayesian estimation of finite mixture models of election frauds (models that include covariates) to support estimating …

Developments in Positive Empirical Models of Election Frauds

We present new developments regarding positive empirical models of election frauds. We develop a general Bayesian framework using finite mixture models of product distributions to identify the probability and distribution of frauds in elections. The …

A Semi-parametric Approch to Estimate Latent Heterogeneity with Generalized Linear Mixed Models

Allocation of Authority and Preferences for Redistribution

Distribution of Income, Redistributive Preferences, and Preferences for Political Institutions

The Mediation Effect of Preferences for Redistribution on Preferences for Centralization of Political Authority by Policy Area

Authors have argued that decentralization of political authority in multilevel polities can have a variety of consequences on policy outcomes. In this paper we investigate how voters make sense of those consequences and how it affects their …

A Logistic-Binomial Mixture Model for Fraud Detection in Elections

This work presents a Bayesian finite mixture model of logistic regression models to estimate the probability of fraud in elections. The features of the electorate and polling places are built into the structure of the model, which allows researchers …

Developments in Positive Empirical Models of Election Frauds

Political Economy of Intraparty Negotiation and Interregional Redistribution

Positive Empirical Models of Election Frauds

We present new developments sparked by the positive empirical model of election frauds introduced by Klimek, et al. (PNAS 2012). Taking a censored-Normal finite mixture likelihood implementation of Klimek et al.’s idea (Mebane, MPSA 2016) as a point …