Time-Series Analysis & Forecasting

April 27-29, 2020 - THIS EVENT HAS BEEN CANCELLED

3 days, 8:30 AM – 4:30 PM
Federal Reserve Bank of Dallas

Please note: We are closely monitoring the current COVID-19 situation. In the event that this course is canceled, registrants will receive their choice of a full refund or credit to use toward a future NABE course.

Designed to aid economic forecasting, the Time-Series Analysis and Forecasting course presents advanced statistical and modeling techniques and applications with a focus on recent developments in econometric methodologies and quantitative analysis. All participants who complete the course will earn NABE's Certificate in Time-Series Analysis and Forecasting. More course information

Registration Details*

NABE Member:  $1,600
U.S. Government Employee: $1,700
Non-Member: $1,750

*Early-Bird Deadline: March 25, 2020

Location

Federal Reserve Bank of Dallas
2200 N. Pearl Street
Dallas, TX 75201

Travel Information

Nearby Hotels:

About the Instructor

Robert McNown is Professor of Economics and Faculty Research Associate with the Institute of Behavioral Science at the University of Colorado, Boulder. He received his BA in Economics from UCLA and his PhD in Economics from UC San Diego. His primary areas of research and teaching interest are Econometrics, Time Series Analysis, Demography, and International Economics. He has published over sixty research articles in academic journals covering these fields of specialization. Dr. McNown has held visiting faculty positions at Tribhuvan University (Kathmandu, Nepal) as a Fulbright Lecturer, People’s University (Beijing) under World Bank sponsorship, Semester at Sea, the Department of Econometrics at Sydney University (Australia), and at the National Economics University in Hanoi, Vietnam as a Fulbright Scholar. In addition, he has presented lectures on his research as well as econometrics workshops at universities in Vietnam, Thailand, Malaysia, Indonesia, India, Namibia, Libya, Norway, and Egypt.

Robert McNown has an outstanding record of teaching econometrics at the University of Colorado and around the world. He was recognized twice for teaching excellence through the Stanford Calderwood Teaching Award from the Department of Economics at the University of Colorado. His teaching approach emphasizes applications of econometric methods using EViews exercises involving models and data that illustrate a variety of statistical problems encountered in economic research. Dr. McNown has conducted  highly successful training sessions in applied econometrics and time series econometrics at the Bank of Kenya (2007), the National Bank of Croatia (2007, 2008), the National Bank of Canada in Montreal (2009), Haver Analytics in New York (2013, 2014, 2015), the International Monetary Fund (2013,2014), and the Bank of Korea (2014).  He has also been involved in the development and application of macro-econometric models for forecasting Colorado and local district tax revenues.