It is our pleasure to invite you to the online workshop "Nonlinear econometrics and machine learning" which will be held for five days from June 8 to 15, 2021. The workshop will be held by guest lecturer Ms. Irina B. Panovska from the University of Texas at Dallas, Tx, U.S.A.
Participation in the workshop is completely free with prior registration, and the workshop has been organized by the Faculty of Economics & Business in Zagreb through the project of the Croatian Science Foundation CONVRH - IP 2019-04-4500. You can apply via the following form https://forms.gle/TwD8kJYQh8RJ1gws6. Think about that the number of participants is limited and register as soon as possible!
At the workshop, participants will be introduced to nonlinear VAR models and basic methods of machine learning through practical work on computers. The computer program R, which is available free of charge, will be used for this purpose. The workshop is intended for active researchers, doctoral students, and professional economists in the public and private sectors. The workshop was organized as an applied course with a strong emphasis on the empirical applications of different models.
About the lecturer Prof. Irina B. Panovska, Ph.D., the University of Texas at Dallas, USA
Ms. Irina Panovska (www.irinapanovska.com) is an associate professor of economics at the School of Economic, Political, and Policy Sciences at the University of Texas at Dallas. Her primary research fields are macroeconomics and econometrics, and her research focuses on nonlinear models of the business cycle. In particular, her research is focused on how nonlinearities in demand shocks transmit to the macroeconomy and to labor markets, and in developing time series models that disentangle permanent from cyclical movements in macroeconomic variables. She received Ph.D. in economics from Washington University in St. Louis in 2013. She received MA in economics from Washington University in St. Louis in 2009, and BA in economics, and BS in mathematics from Ohio University in 2007. She has also held visiting scholar positions at the University of New South Wales in Sydney, Australia, and the FEBZG in Zagreb, Croatia. She is the treasurer and an elected member of the executive committee of the Society for Nonlinear Dynamics and Econometrics. She has previously taught Time Series Analysis (at the undergraduate and graduate level), Business, Government, and Macroeconomic Policy (advanced macroeconomics, undergraduate/ MS graduate, writing-intensive), Money and Banking (undergraduate core business class), and the Federal Reserve Challenge (undergraduate experiential learning class on monetary policy).
Participation in the workshop is completely free with prior registration, and the workshop has been organized by the Faculty of Economics & Business in Zagreb through the project of the Croatian Science Foundation CONVRH - IP 2019-04-4500. You can apply via the following form https://forms.gle/TwD8kJYQh8RJ1gws6. Think about that the number of participants is limited and register as soon as possible!
At the workshop, participants will be introduced to nonlinear VAR models and basic methods of machine learning through practical work on computers. The computer program R, which is available free of charge, will be used for this purpose. The workshop is intended for active researchers, doctoral students, and professional economists in the public and private sectors. The workshop was organized as an applied course with a strong emphasis on the empirical applications of different models.
About the lecturer Prof. Irina B. Panovska, Ph.D., the University of Texas at Dallas, USA
Ms. Irina Panovska (www.irinapanovska.com) is an associate professor of economics at the School of Economic, Political, and Policy Sciences at the University of Texas at Dallas. Her primary research fields are macroeconomics and econometrics, and her research focuses on nonlinear models of the business cycle. In particular, her research is focused on how nonlinearities in demand shocks transmit to the macroeconomy and to labor markets, and in developing time series models that disentangle permanent from cyclical movements in macroeconomic variables. She received Ph.D. in economics from Washington University in St. Louis in 2013. She received MA in economics from Washington University in St. Louis in 2009, and BA in economics, and BS in mathematics from Ohio University in 2007. She has also held visiting scholar positions at the University of New South Wales in Sydney, Australia, and the FEBZG in Zagreb, Croatia. She is the treasurer and an elected member of the executive committee of the Society for Nonlinear Dynamics and Econometrics. She has previously taught Time Series Analysis (at the undergraduate and graduate level), Business, Government, and Macroeconomic Policy (advanced macroeconomics, undergraduate/ MS graduate, writing-intensive), Money and Banking (undergraduate core business class), and the Federal Reserve Challenge (undergraduate experiential learning class on monetary policy).
We are looking forward to your virtual arrival!
Organizers
Prof. Josip Tica, Ph.D.
Assist. Prof. Vladimir Arčabić, Ph.D.
The University of Zagreb, Faculty of Economics & Business