Nonlinear econometric panel models with fixed effects
Grant number: DE170100644 | Funding period: 2017 - 2020
This project aims to develop effective quantitative methods tailored to policy questions in public health and international trade. Many nonlinear panel models are essential to answer policy-relevant research questions, but cannot estimate key objects of interest, while default procedures for inference are often misleading, making magnitudes of identified effects impossible to quantify. This project will develop methods to overcome these limitations for many econometric models, and apply them to important models in health economics and international trade. Such improvements are expected to reduce risk in public decision-making, resulting in better and more effective policies.
Related publications (5)
The effect of income-based mandates on the demand for private hospital insurance and its dynamics.
Thomas C Buchmueller, Terence C Cheng, Ngoc TA Pham, Kevin E Staub
We examine the effect of an income-based mandate on the demand for private hospital insurance and its dynamics in Australia. The m..