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Correcting Endogeneity via Instrument-Free Two-Stage Nonparametric Copula Control Functions

Hu, Xixi; Qian, Yi; Xie, Hui - National Bureau of Economic Research - 2025

requiring instruments. In this article, we formulate the regressor endogeneity problem using a novel conditional copula … assumption of Gaussian copula regressor-error dependence structure and eliminates unnecessary modeling of regressors. Under the … model, we develop an instrument-free two-stage nonparametric copula endogeneity control function approach (2sCOPE-np), which …

Persistent link: https://www.econbiz.de/10015361483

Dynamic Cost-offsets of Prescription Drug Expenditures : Panel Data Analysis Using a Copula-based Hurdle Model

Deb, Partha - 2009

This paper presents a new multivariate copula-based modeling approach for analyzing cost-offsets between drug and …

Persistent link: https://www.econbiz.de/10012463458

Addressing Endogeneity Using a Two-stage Copula Generated Regressor Approach

Yang, Fan; Qian, Yi; Xie, Hui - National Bureau of Economic Research - 2022

-free methods using copulas to address the endogeneity problem. The existing copula correction method focuses only on the endogenous … distributed endogenous regressors cause model non-identification or finite-sample poor performance. Our proposed two-stage copula …

Persistent link: https://www.econbiz.de/10012814483

Regression Discontinuity Designs with an Endogenous Forcing Variable and an Application to Contracting in Health Care

Bajari, Patrick L. - 2011

Regression discontinuity designs (RDDs) are a popular method to estimate treatment effects. However, RDDs may fail to yield consistent estimates if the forcing variable can be manipulated by the agent. In this paper, we examine one interesting set of economic models with such a feature....

Persistent link: https://www.econbiz.de/10012461014

Use of Propensity Scores in Non-Linear Response Models : The Case for Health Care Expenditures

Basu, Anirban - 2008

Under the assumption of no unmeasured confounders, a large literature exists on methods that can be used to estimating average treatment effects (ATE) from observational data and that spans regression models, propensity score adjustments using stratification, weighting or regression and even the...

Persistent link: https://www.econbiz.de/10012464559

Estimating the Effects of Covariates on Health Expenditures

Gilleskie, Donna B. - 2000

This paper addresses estimation of an outcome characterized by mass at zero, significant skewness, and heteroscedasticity. Unlike other approaches suggested recently that require retransformations or arbitrary assumptions about error distributions, our estimation strategy uses sequences of...

Persistent link: https://www.econbiz.de/10012470794

The Market and the Estimators : Forecasting the Cost of Medicare Catastrophic Coverage

Glied, Sherry - 1997

As part of the process of enacting the Medicare Catastrophic Coverage Act (MCCA) in 1988, both the Congressional Budget Office (CBO) and the Department of Health and Human Services (HHS) estimated the cost of the pharmaceutical part of the proposal which varied substantially. For some benefit...

Persistent link: https://www.econbiz.de/10012472526

Getting the Right Tail Right : Modeling Tails of Health Expenditure Distributions

Karlsson, Martin; Wang, Yulong; Ziebarth, Nicolas R. - National Bureau of Economic Research - 2023

Health expenditure data almost always include extreme values. Such heavy tails can be a threat to the commonly adopted least squares methods. To accommodate extreme values, we propose the use of an estimation method that recovers the often ignored right tail of health expenditure distributions....

Persistent link: https://www.econbiz.de/10014322831

Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models

Kalouptsidi, Myrto - 2018

In structural dynamic discrete choice models, unobserved and mis-measured state variables may lead to biased parameter estimates and misleading inference. In this paper, we show that instrumental variables can address such measurement problems when they relate to state variables that evolve...

Persistent link: https://www.econbiz.de/10012480786

Semiparametrically Efficient Estimation of the Average Linear Regression Function

Graham, Bryan S. - 2018

Let Y be an outcome of interest, X a vector of treatment measures, and W a vector of pre-treatment control variables. Here X may include (combinations of) continuous, discrete, and/or non-mutually exclusive "treatments". Consider the linear regression of Y onto X in a subpopulation homogenous in...

Persistent link: https://www.econbiz.de/10012480885