论文标题
用贝叶斯说服的理性不集中离散选择模型的识别和估计
Identification and Estimation of A Rational Inattention Discrete Choice Model with Bayesian Persuasion
论文作者
论文摘要
本文研究了具有贝叶斯说服的理性不集中模型的半参数识别和估计。该识别需要观察市场水平的结果。该模型的经验内容可以以三矩条件为特征。提出了两步估计程序，以避免结构模型中的计算复杂性。在经验应用中，我研究了2000年总统大选中福克斯新闻的说服力。福利分析表明，说服力不会影响接受高中教育的选民，但会在选民的福利中产生更高的分散，并通过部分大学教育，并降低具有学士学位的选民福利的分散。
This paper studies the semi-parametric identification and estimation of a rational inattention model with Bayesian persuasion. The identification requires the observation of a cross-section of market-level outcomes. The empirical content of the model can be characterized by three moment conditions. A two-step estimation procedure is proposed to avoid computation complexity in the structural model. In the empirical application, I study the persuasion effect of Fox News in the 2000 presidential election. Welfare analysis shows that persuasion will not influence voters with high school education but will generate higher dispersion in the welfare of voters with a partial college education and decrease the dispersion in the welfare of voters with a bachelors degree.
