• Contributions to the theory and methodology of quantile models with endogeneity 

    Liu, Xin (University of Missouri--Columbia, 2021)
    In the first chapter, I develop smoothed GMM estimation and inference for overidentified instrumental variables quantile regression (IVQR) and related quantile models. Previous approaches have been limited to exact ...
  • Essays on decision making under uncertainty : Stochastic dominance 

    Zhuo, Longhao (University of Missouri--Columbia, 2017)
    Decision making under uncertainty is certainly the most important task of an economics agent and it is often a very difficult one. In most cases, the goal of further analysis of uncertainty is not necessarily to reduce it, ...
  • Essays on machine learning applications in economics : causal inference and prediction 

    Bian, Yong (University of Missouri--Columbia, 2021)
    This study includes three chapters related to machine learning applications with focus on different empirical topics. The first chapter talks about a new method and its application. The second chapter focuses on young ...
  • Essays on the econometrics of ordinal data 

    Wu, Qian (University of Missouri--Columbia, 2023)
    [EMBARGOED UNTIL 8/1/2024] In economics, ordinal variables like general health, mental health, and happiness level play a crucial role. Ordinal data is commonly used in surveys and questionnaires due to its ordered structure. ...
  • Three essays on crime policy and the Bayesian bootstrap 

    Hofmann, Lonnie (University of Missouri--Columbia, 2021)
    This dissertation consists of three chapters. In the first chapter, I analyze credible intervals for quantiles constructed using Bayesian bootstrap techniques and show that credible intervals constructed using the ...