Matching Estimators of Causal Effects Prospects and Pitfalls in Theory and Practice

Asymptotic Distributions of Estimators of Eigenvalues and Eigenfunctions in Functional Data

Functional data analysis is a relatively new and rapidly growing area of statistics. This is partly due to technological advancements which have made it possible to generate new types of data that are in the form of curves. Because the data are functions, they lie in function spaces, which are of infinite dimension. To analyse functional data, one way, which is widely used, is to employ princip...

Causal Inference by Minimizing the Dual Norm of Bias: Kernel Matching & Weighting Estimators for Causal Effects

We consider the problem of estimating causal effects from observational data and propose a novel framework for matchingand weighting-based causal estimators. The framework is based on expressing the bias of a causal estimator as an operator on the unknown conditional expectation function of outcomes and formulating the dual norm of the bias as the norm of this operator with respect to a functio...

Korea’s Growth, Trade and Energy Imports: New Evidence for Regional Comprehensive Partnership Analysis

  The paper uses economic and energy data analysis and econometric modeling to study the prospects and challenges of Korea’s 2003 FTA Roadmap (MOFAT 2013) in the form of potential comprehensive partnerships with its major trade and energy partners. It first reviews Korea’s international economic and trade relations in recent years with a focus on its major merchandise export destinations an...

Sequential Matching Estimation of Dynamic Causal Models

Sequential Matching Estimation of Dynamic Causal Models This paper proposes sequential matching and inverse selection probability weighting to estimate dynamic causal effects. The sequential matching estimators extend simple, matching estimators based on propensity scores for static causal analysis that have been frequently applied in the evaluation literature. A Monte Carlo study shows that th...

Prospects and Pitfalls in Theory and Practice