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Tax Policy Transmission and Household Expenditures

税收政策传导与家庭支出

Abstract Using a novel scanner data and difference-in-differences strategy, we assess how consumers respond to a large-scale tax reform in India that introduces exogenous variations in tax rate changes at the product level. We show evidence of a strong and persistent spending response to tax rate changes. The response is highly asymmetrical, with consumers responding significantly more strongly to tax rate increases than to decreases. We find empirical support for both…

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A multiplicative structural nested mean model for zero-inflated outcomes

零膨胀结局的乘法结构嵌套均值模型

Summary Zero-inflated nonnegative outcomes are common in many applications. In this work, motivated by freemium mobile game data, we propose a class of multiplicative structural nested mean models for zero-inflated nonnegative outcomes which flexibly describes the joint effect of a sequence of treatments in the presence of time-varying confounders. The proposed estimator solves a doubly robust estimating equation, where the nuisance functions, namely the propensity score and…

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Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach With an Application to the Health and Retirement Study

多个时变关联群组的建模:动态层次贝叶斯方法及其在健康与退休研究中的应用

As the population of the older individuals continues to grow, it is important to study the relationship among the variables measuring financial health and physical health of the older individuals to better understand the demand for healthcare, and health insurance. We propose a semiparametric approach to jointly model these variables. We use data from the Health and Retirement Study which includes a set of correlated longitudinal variables measuring financial and physical…

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Tracking the Impact of Media on Voter Choice in Real Time: A Bayesian Dynamic Joint Model

实时追踪媒体对选民选择的影响:贝叶斯动态联合模型

Commonly used methods of evaluating the impact of marketing communications during political elections struggle to account for respondents’ exposures to these communications due to the problems associated with recall bias. In addition, they completely fail to account for the impact of mediated or earned communications, such as newspaper articles or television news, that are typically not within the control of the advertising party, nor are they effectively able to monitor…

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A Nested Dirichlet Process Analysis of Cluster Randomized Trial Data With Application in Geriatric Care Assessment

整群随机试验数据的嵌套Dirichlet过程分析:老年照护评估应用

In cluster randomized trials, patients seen by the same physician are randomized to the same treatment arm as a group. Besides the natural clustering of patients due to cluster/group randomization, interactions between an individual patient and the attending physician within the group could just as well influence patient care outcomes. Despite the intuitive relevance of these interactions to treatment assessment, few studies have thus far examined their influences. Whether…

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Assessing Sexual Attitudes and Behaviors of Young Women: A Joint Model with Nonlinear Time Effects, Time Varying Covariates, and Dropouts

年轻女性性态度与行为的联合模型:非线性时间效应、时变协变量与退出

Understanding human sexual behaviors is essential for the effective prevention of sexually transmitted infections. Analysis of longitudinally measured sexual behavioral data, however, is often complicated by zero-inflation of event counts, nonlinear time trend, time-varying covariates, and informative dropouts. Ignoring these complicating factors could undermine the validity of the study findings. In this paper, we put forth a unified joint modeling structure that…

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