📄 papers.ssrn.com/sol3/papers....
We propose a broadly applicable computationally efficient method for full-information estimation of nonlinear DSGE models. It avoids two key bottlenecks: global solutions and nonlinear filters.
📄 papers.ssrn.com/sol3/papers....
We propose a broadly applicable computationally efficient method for full-information estimation of nonlinear DSGE models. It avoids two key bottlenecks: global solutions and nonlinear filters.
📄 papers.ssrn.com/sol3/papers....
We propose a broadly applicable computationally efficient method for full-information estimation of nonlinear DSGE models. It avoids two key bottlenecks: global solutions and nonlinear filters.
📄 papers.ssrn.com/sol3/papers....
We propose a broadly applicable computationally efficient method for full-information estimation of nonlinear DSGE models. It avoids two key bottlenecks: global solutions and nonlinear filters.
12 more days to apply to our summer school in structural estimation! It's a hands-on course in which you learn how to do SMM and then work on a problem set with your classmates. Open to PhD students in finance, accounting, econ. And faculty.
12 more days to apply to our summer school in structural estimation! It's a hands-on course in which you learn how to do SMM and then work on a problem set with your classmates. Open to PhD students in finance, accounting, econ. And faculty.
If you have any questions, please contact me.
If you have any questions, please contact me.
arxiv.org/pdf/2411.10415
Key point: linear approximations using a continuous shock in IRFs are likely fine! However, approaches using heteroskedasticity are very sensitive to nonlinearity.
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All candidates & their personal websites can be viewed on
our website: tinbergen.nl/job-market-c...