Brantly Callaway,Tong Li
Brantly Callaway
National and local governments have implemented a large number of policies in response to the Covid-19 pandemic. Evaluating the effects of these policies, both on the number of Covid-19 cases as well as on other economic outcomes is a key i...
The spread of COVID-19 in London: Network effects and optimal lockdowns [0.03%]
伦敦的COVID-19传播：网络效应和最优封锁措施
Christian Julliard,Ran Shi,Kathy Yuan
Christian Julliard
We generalise a stochastic version of the workhorse SIR (Susceptible-Infectious-Removed) epidemiological model to account for spatial dynamics generated by network interactions. Using the London metropolitan area as a salient case study, we...
Information criteria for latent factor models: a study on factor pervasiveness and adaptivity [0.03%]
潜在因素模型的信息标准研究：贯穿性和自适应性分析
Xiao Guo,Yu Chen,Cheng Yong Tang
Xiao Guo
We study the information criteria extensively under general conditions for high-dimensional latent factor models. Upon carefully analyzing the estimation errors of the principal component analysis method, we establish theoretical results on...
Xuming He,Xiaoou Pan,Kean Ming Tan et al.
Xuming He et al.
Quantile regression is a powerful tool for learning the relationship between a response variable and a multivariate predictor while exploring heterogeneous effects. This paper focuses on statistical inference for quantile regression in the ...
Dividend suspensions and cash flows during the Covid-19 pandemic: A dynamic econometric model [0.03%]
新冠疫情下的股息削减与现金流动态经济学模型
Davide Pettenuzzo,Riccardo Sabbatucci,Allan Timmermann
Davide Pettenuzzo
Firms suspended dividend payments in unprecedented numbers in response to the outbreak of the Covid-19 pandemic. We develop a multivariate dynamic econometric model that allows dividend suspensions to affect the conditional mean, volatility...
Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic [0.03%]
高维中介变量的线性中介模型的统计推断及在研究股票对COVID-19大流行反应中的应用
Xu Guo,Runze Li,Jingyuan Liu et al.
Xu Guo et al.
Mediation analysis draws increasing attention in many research areas such as economics, finance and social sciences. In this paper, we propose new statistical inference procedures for high dimensional mediation models, in which both the out...
Maternal Subjective Expectations about the Technology of Skill Formation Predict Investments in Children One Year Later [0.03%]
关于技能形成的科技的母体主观期望能预测孩子一年后的投入情况
Flávio Cunha,Irma Elo,Jennifer Culhane
Flávio Cunha
A growing literature reports significant socio-economic gaps in investments in the human capital of young children. Because the returns to these investments may be huge, parenting programs attempt to improve children's environments by incre...
Tail and Center Rounding of Probabilistic Expectations in the Health and Retirement Study [0.03%]
健康与退休研究中的概率预期尾部和中部的舍入效应
Pamela Giustinelli,Charles F Manski,Francesca Molinari
Pamela Giustinelli
We study rounding of numerical expectations in the Health and Retirement Study (HRS) between 2002 and 2014. We document that respondent-specific rounding patterns across questions in individual waves are quite stable across waves. We discov...
Predictive Functional Linear Models with Diverging Number of Semiparametric Single-Index Interactions [0.03%]
具有发散的单指标交互的预测泛函线性模型
Yanghui Liu,Yehua Li,Raymond J Carroll et al.
Yanghui Liu et al.
When predicting crop yield using both functional and multivariate predictors, the prediction performances benefit from the inclusion of the interactions between the two sets of predictors. We assume the interaction depends on a nonparametri...
Jianqing Fan,Bai Jiang,Qiang Sun
Jianqing Fan
Many sparse regression methods are based on the assumption that covariates are weakly correlated, which unfortunately do not hold in many economic and financial datasets. To address this challenge, we model the strongly-correlated covariate...