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Estimating Heterogeneous Takeup and Crowd-Out Responses to Existing Medicaid Income Limits and their Nonmarginal Expansions
Heterogeneous Takeup Crowd-Out Responses Medicaid Income Limits Nonmarginal Expansions
2016/3/3
We use a switching probit model and the income-limit-based structure of Medicaid eligibility for children to estimate treatment effects of nonmarginal Medicaid expansions on Medicaid takeup, private i...
Estimating the Effects of College Characteristics over the Career Using Administrative Earnings Data
College Characteristics Career Administrative Earnings Data
2016/3/3
We estimate the labor market effect of attending a highly selective college, using the College and Beyond Survey linked to Social Security Administration data. We extend earlier work by estimating eff...
Estimating Heterogeneous and Hierarchical Peer Effects on Body Weight Using Roommate Assignments as a Natural Experiment
Heterogeneous Hierarchical Peer Body Weight Roommate Assignments Natural Experiment
2016/3/3
We investigate peer effects in weight gain by exploiting a natural experiment, roommate assignments of 751 male and 845 female first-year college students. Results indicate that females are subject to...
The Star Treatment:Estimating the Impact of Star Ratings on Medicare Advantage Enrollments
Star Treatment EStar Ratings Medicare Advantage
2016/3/3
The Centers for Medicare and Medicaid Services (CMS) has calculated and disseminated an overall contract quality star rating system (from one to five stars) for all Medicare Advantage (MA) contracts s...
Estimating Spatial Autocorrelation with Sampled Network Data
NetworkDataAnalysis Paired Maximum Likelihood Estimator
2016/1/26
Spatial autocorrelation is a parameter of importance for network data analysis. To estimate spatial autocorrelation, maximum likelihood has been popularly used. However, its rigorous implementation re...
Estimating Mixture of Gaussian Processes by Kernel Smoothing
Identifiability EM algorithm Kernel regression Gaussian process Functional principal component analysis
2016/1/26
When the functional data are not homogeneous, e.g., there exist multiple classes of func-tional curves in the dataset, traditional estimation methods may fail. In this paper, we propose a new estimati...
Estimating Mixture of Gaussian Processes by Kernel Smoothing
Identifiability EM algorithm Kernel regression Gaussian process Functional principal component analysis
2016/1/20
When the functional data are not homogeneous, e.g., there exist multiple classes of func-tional curves in the dataset, traditional estimation methods may fail. In this paper, we propose a new estimati...
A command for estimating spatial-autoregressive models with spatial-autoregressive disturbances and additional endogenous variables
spivreg spatial-autoregressive models
2015/9/24
We describe the spivreg command, which estimates the parameters
of linear cross-sectional spatial-autoregressive models with spatial-autoregressive
disturbances, where the model may also contain add...
Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets
Distribution of relief subsidies treatment malaria mosquito nets
2015/7/17
Estimating the Impact of Means-tested Subsidies under Treatment Externalities with Application to Anti-Malarial Bednets.
Estimating Tail Probabilities in Queues via Extremal Statistics
Extreme values queues regenerative processes rare events estimation asymptotics
2015/7/8
We study the estimation of tail probabilities in a queue via a semi-parametric estimator based on the maximum value of the workload, observed over the sampled time interval. Logarithmic consistency an...
Applying Random Coefficient Models to Strategy Research:Testing for Firm Heterogeneity,Predicting Firm-Specific Coefficients,and Estimating Strategy Trade-Offs
Strategy Mathematical Methods
2015/4/27
Although Strategy research aims to understand how firm actions have differential effects on performance, most empirical research estimates the average effects of these actions across firms. This paper...
Estimating Average Causal Effects Under Interference Between Units
Estimating Average Causal Effects Interference Between Units
2013/6/14
This paper presents a randomization-based framework for estimating causal effects under interference between units. We develop the case of estimating average unit-level causal effects from a randomize...
Estimating treatment effect heterogeneity in randomized program evaluation
Causal inference individualized treatment rules LASSO moderation variable selection
2013/6/14
When evaluating the efficacy of social programs and medical treatments using randomized experiments, the estimated overall average causal effect alone is often of limited value and the researchers mus...
A Bayesian localised conditional auto-regressive model for estimating the health effects of air pollution
Air pollution and health Conditional autoregressive models Spatial correlation
2013/6/14
Estimation of the long-term health effects of air pollution is a challenging task, especially when modelling small-area disease incidence data in an ecological study design. The challenge comes from t...
Estimating Network Degree Distributions Under Sampling: An Inverse Problem, with Applications to Monitoring Social Media Networks
Estimating Network Degree Distributions Sampling An Inverse Problem Applications Monitoring Social Media Networks
2013/6/14
Networks are a popular tool for representing elements in a system and their interconnectedness. Many observed networks can be viewed as only samples of some true underlying network. Such is frequently...