Nonlinear panel data models with cross-sectional dependence and heterogeneity
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About the speaker
Jiti Gao, Monash University.
This paper considers a class of nonlinear panel data models with possible cross-sectional dependence and heterogeneity in the cross-sectional dimension as well as nonstationarity in the time series dimension. New estimation method and theory is being established and evaluated by simulation examples. Empirical applications of the proposed model and estimation method in climatology, development and health economics will also be discussed. The presentation will focus on the basic ideas and the major development of the literature rather than on the technical details.
Afternoon tea available.
The Research School of Economics hosts four active seminar series in Applied Microeconomics, Economic Theory, Macroeconomics as well as a General series. Speakers include international and locally well-known economists.
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