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Full-Text Articles in Health Policy
Marginal Effects In Multivariate Probit And Kindred Discrete And Count Outcome Models, John Mullahy
Marginal Effects In Multivariate Probit And Kindred Discrete And Count Outcome Models, John Mullahy
John Mullahy
Estimation of marginal or partial effects of covariates x on various conditional parameters or functionals is often the main target of applied microeconometric analysis. In the specific context of probit models, estimation of partial effects involving outcome probabilities will often be of interest. Such estimation is straightforward in univariate models, and Greene, 1996, 1998, has extended these results to cover the case of quadrant probability marginal effects in bivariate probit models. The first purpose of this paper is to extend these results to encompass the general multivariate probit (MVP) context for arbitrary orthant probabilities. It is suggested that such partial …
Comparative Effectiveness, Regulation, And The Evidence Base Of Evidence-Based Healthcare, John Mullahy
Comparative Effectiveness, Regulation, And The Evidence Base Of Evidence-Based Healthcare, John Mullahy
John Mullahy
There is some consensus that comparative effectiveness (CE) research holds potential to effect improvements in health outcomes and patient and societal well-being as it contributes to the evidence base of evidence-based healthcare (even in the absence of comparative cost-effectiveness research). For this to occur, the evidence base -- which itself is costly to amass -- must affect treatment decisions in ways that are likely ex ante to be health and welfare enhancing. This in turns place some onus on the producers of the data and data summaries that are the foundation of the evidence base to provide results that are …
Multivariate Fractional Regression Estimation Of Econometric Share Models, John Mullahy
Multivariate Fractional Regression Estimation Of Econometric Share Models, John Mullahy
John Mullahy
This paper describes and applies econometric strategies for estimating regression models of economic share data outcomes where the shares may take boundary values (zero and one) with nontrivial probability. The main focus of the paper is on the conditional mean structures of such data. The paper proposes an extension of the fractional regression methodology proposed by Papke and Wooldridge, 1996, 2008, in univariate cross-sectional and panel contexts. The paper discusses the stochastic aspects of share definition and measurement, and summarizes important features of the existing literature on econometric strategies for share model estimation. The paper then goes on to discuss …