We extend a unified and easy-to-use approach to measurement error and missing data. Blackwell, Honaker, and King (2014a) gives an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details; more...

Amelia II is a complete R package for multiple imputation of missing data. The package implements a new expectation-maximization with bootstrapping algorithm that works faster, with larger numbers of variables, and is far easier to use, than various Markov chain Monte Carlo approaches, but gives...

Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been widely used...

In this article, we introduce a Stata implementation of coarsened exact matching, a new method for improving the estimation of causal effects by reducing imbalance in covariates between treated and control groups. Coarsened exact matching is faster, is easier to use and understand, requires...

We model a situation in which two players bargain over two pies, one of which can only be consumed starting at a future date. Suppose the players value the pies asymmetrically: one player values the existing pie more than the future one, while the other player has the opposite valuation. We show...

Voters in India are often perceived as being biased in favor of parties that claim to represent their caste. We incorporate this caste bias into voter preferences and examine its influence on the distributive policies and corruption practices of the two major political parties in the North...

We model a situation in which two countries are involved in a dispute. The dispute can end in a peaceful settlement, or it can escalate to war. If it is common knowledge that the countries are strategically rational, then the only equilibrium outcome of the model is peace. If, on the other hand,...

We show how to minimize the probability of misclassifying individuals as being poor or not poor when data on some of their relevant attributes are missing, but an estimate of the population distribution of attributes is available.

Some scholars known as <italic>offensive realists</italic> claim that in the uncertainty of world politics, trust and cooperation between states is extremely unlikely. Others, such as <italic>defensive realists</italic>, claim that rational states are capable of finding ways to counteract the complications created by...