As the global pandemic took hold, labor markets froze almost instantly; the US unemployment rate spiked by more than 10 percentage points in a matter of weeks before thawing somewhat as parts of the economy have reopened. There is heightened anxiety about what awaits this cohort of economics job market candidates, with several U.S. universities instituting hiring freezes amid budget crunches and layoffs occurring at firms with larger teams of economists.
Prepare your questions on academic, industry, and Fed/government jobs, and join us to get a complete picture of the economics job market in 2020 and beyond during a free webinar this Friday, June 26 at 12:00 PM Eastern. More info and sign up below...
Outlook for the Economics Job Market in 2020 and Beyond:
What Changes with COVID-19?
Friday, June 26
12:00 PM EDT
Speakers:
Pat Bajari, Chief Economist and Vice President, Amazon Core AI
Burcu Duygan-Bump, Deputy Associate Director, Research and Statistics, Federal Reserve Board
Steve McBride, Director of Data Science and Engineering, Content Strategy and Economics, Netflix
Gianluca Violante, Professor of Economics, Princeton University
Moderator: Hyunjin Kim, Incoming Assistant Professor of Strategy, INSEAD
Will the market clear in 2020? Who is still hiring? Will there be more industry and government jobs relative to academic-track jobs in the future? Should any candidates be advised to delay their entry into the market? What are the roles and responsibilities of new economists in various sectors? What technical skills and other tools are most desirable from the perspective of employers? How will the proposed restrictions on work visas impact the market? Join us for this discussion on the outlook for the economics job market in 2020 and beyond.
REGISTER HERE
Speaker/Moderator Bios:
Patrick Bajari is Chief Economist and Vice President of Amazon Core AI. In this role, Mr. Bajari leads a team of approximately 120 software engineers and scientists in machine learning, statistics, operations research, and econometrics. His team is focused on delivering AI-enabled technologies throughout Amazon's businesses, from Alexa to Amazon Go. Since joining Amazon in 2010, his team has built scalable systems for pricing, supply chain, operations, automated marketing, search, and other systems at Amazon. Mr. Bajari is a Fellow of the Econometric Society, an elected Research Associate at the National Bureau of Economic Research, and a Board Director for the National Association for Business Economics. He also currently serves as Professor of Economics at the University of Washington. Prior to joining Amazon, Mr. Bajari was a faculty member in the economics departments at Harvard, Stanford, Duke, and University of Minnesota.
Burcu Duygan-Bump is a Deputy Associate Director in the Research and Statistics Division at the Board of Governors of the Federal Reserve System. In this capacity, she oversees the Real Estate Finance Section and the Systemic Financial Institutions and Markets Section. Her responsibilities include formulating some of the Fed’s crisis response policies, contributing to the staff’s economic projections and assessment of financial stability risks, as well as ongoing monitoring of financial markets, participating in strategic planning and oversight activities, and conducting economic research. Also, she co-leads economist recruiting for the Division. She has written on liquidity regulations and the central bank’s role as a lender of last resort, demand for safe assets and monetary policy, and the linkages between the financial sector and the real economy. Her research has been published in many scholarly journals, including the Journal of Finance, Journal of Monetary Economics, and the International Journal of Central Banking. Her current research is focused on effectiveness of monetary policy around the effective lower bound and the history of the Federal Reserve’s monetary policy toolkit. Prior to joining the Board, Dr. Duygan-Bump worked in the Supervision, Regulation, and Credit Department at the Federal Reserve Bank of Boston. She was directly involved in the emergency response to the 2007-08 financial crisis. Dr. Duygan-Bump was born in Ankara, Turkey. She holds a B.A. in economics from Bilkent University, and M.A. and Ph.D. degrees in economics from the John Hopkins University.
Hyunjin Kim recently obtained her doctoral degree at Harvard Business School, and will be joining INSEAD as an Assistant Professor of Strategy in summer 2020. Her research sits at the intersection of firm strategy and the economics of digitization, exploring how data and algorithms shape how firms make strategic decisions and compete. She uses field experiments and empirical analyses leveraging econometric methods and machine learning. For this work, she collaborates closely with Fortune 500 companies as well as small tech startups, and has received funding from the Ewing Kauffman Foundation and the Foundation for Human Behavior. She earned her A.B. in Social Studies at Harvard College, and received a M.Sc in Environmental Change and Management at the University of Oxford and a M.Sc in Economics and Management at the London School of Economics. Prior to her graduate studies, she co-founded and directed the Emerge Venture Lab, an early-stage venture capital fund for technology startups working on social and environmental issues. She has also worked at McKinsey & Company and Knewton.
Steve McBride is Director of Data Science and Engineering, Content Strategy and Economics, at Netflix. As such, he leads the Netflix team accountable for improving content strategy (programming, deal guidance, valuation) through rigorous application of OR, economics, and causal modeling. The team achieves considerable impact in this central business area through relentless commitment to data quality, statistical rigor, and methodological innovation. The team also applies this commitment to optimization algorithms, tooling, data reporting, behavioral models, metric definition, and experimentation.
Gianluca Violante is a Professor of Economics at Princeton University. He is a Research Associate of the NBER (EFG program), a Research Fellow of the CEPR (LE, MEF, and MG programs) and IZA, an International Fellow of the IFS, and an external research member of CEBI. His main research interests are in macroeconomics, labor economics, and public finance. He has published his research in the American Economic Review, Econometrica, Journal of Political Economy, Quarterly Journal of Economics, and Review of Economic Studies. He has also published in several top-field journals. After his Laurea from the Universita' di Torino, Gianluca received his Ph.D. in Economics from the University of Pennsylvania in 1997. Before joining Princeton, he taught at University College London from 1997 to 2002 and at NYU from 2002 to 2017. From 2009 to 2013, he was the Coordinating Editor of the Review of Economic Dynamics, and from 2015 to 2019 one of the Co-Editors of Econometrica. Since 2017, he is one of the co-leaders of the NBER EFG group Micro data, Macro Models. Gianluca was among the semi-plenary speakers at the 2010 World Congress of the Econometric Society in Shanghai, at the 2016 North American Summer Meetings of the Econometric Society in Philadelphia, and at the 2017 Asian Meetings of the Econometric Society in Hong Kong. He was a plenary speaker at the 2013 Annual Meeting of the SED in Seoul, at the Fall 2015 Midwest Macro Meeting in Rochester, and at the 2019 Econometric Society Winter Meetings in Rotterdam. In March 2016, he gave the Berglas Lecture at Tel Aviv University. His AER article 'Monetary Policy According to HANK' (joint with Greg Kaplan and Ben Moll) won the Economics in Central Banking Award in 2019. Since 2016, he is a Fellow of
the Econometric Society.
For the latest updates on NABE webinars, please visit the NABE Events page. NABE Members can view all past webinars on the NABE Digital Archive page or on the NABE Connect app (download on the App Store or Google Play Store).
Speaker/Moderator Bios:
Patrick Bajari is Chief Economist and Vice President of Amazon Core AI. In this role, Mr. Bajari leads a team of approximately 120 software engineers and scientists in machine learning, statistics, operations research, and econometrics. His team is focused on delivering AI-enabled technologies throughout Amazon's businesses, from Alexa to Amazon Go. Since joining Amazon in 2010, his team has built scalable systems for pricing, supply chain, operations, automated marketing, search, and other systems at Amazon. Mr. Bajari is a Fellow of the Econometric Society, an elected Research Associate at the National Bureau of Economic Research, and a Board Director for the National Association for Business Economics. He also currently serves as Professor of Economics at the University of Washington. Prior to joining Amazon, Mr. Bajari was a faculty member in the economics departments at Harvard, Stanford, Duke, and University of Minnesota.
Burcu Duygan-Bump is a Deputy Associate Director in the Research and Statistics Division at the Board of Governors of the Federal Reserve System. In this capacity, she oversees the Real Estate Finance Section and the Systemic Financial Institutions and Markets Section. Her responsibilities include formulating some of the Fed’s crisis response policies, contributing to the staff’s economic projections and assessment of financial stability risks, as well as ongoing monitoring of financial markets, participating in strategic planning and oversight activities, and conducting economic research. Also, she co-leads economist recruiting for the Division. She has written on liquidity regulations and the central bank’s role as a lender of last resort, demand for safe assets and monetary policy, and the linkages between the financial sector and the real economy. Her research has been published in many scholarly journals, including the Journal of Finance, Journal of Monetary Economics, and the International Journal of Central Banking. Her current research is focused on effectiveness of monetary policy around the effective lower bound and the history of the Federal Reserve’s monetary policy toolkit. Prior to joining the Board, Dr. Duygan-Bump worked in the Supervision, Regulation, and Credit Department at the Federal Reserve Bank of Boston. She was directly involved in the emergency response to the 2007-08 financial crisis. Dr. Duygan-Bump was born in Ankara, Turkey. She holds a B.A. in economics from Bilkent University, and M.A. and Ph.D. degrees in economics from the John Hopkins University.
Hyunjin Kim recently obtained her doctoral degree at Harvard Business School, and will be joining INSEAD as an Assistant Professor of Strategy in summer 2020. Her research sits at the intersection of firm strategy and the economics of digitization, exploring how data and algorithms shape how firms make strategic decisions and compete. She uses field experiments and empirical analyses leveraging econometric methods and machine learning. For this work, she collaborates closely with Fortune 500 companies as well as small tech startups, and has received funding from the Ewing Kauffman Foundation and the Foundation for Human Behavior. She earned her A.B. in Social Studies at Harvard College, and received a M.Sc in Environmental Change and Management at the University of Oxford and a M.Sc in Economics and Management at the London School of Economics. Prior to her graduate studies, she co-founded and directed the Emerge Venture Lab, an early-stage venture capital fund for technology startups working on social and environmental issues. She has also worked at McKinsey & Company and Knewton.
Steve McBride is Director of Data Science and Engineering, Content Strategy and Economics, at Netflix. As such, he leads the Netflix team accountable for improving content strategy (programming, deal guidance, valuation) through rigorous application of OR, economics, and causal modeling. The team achieves considerable impact in this central business area through relentless commitment to data quality, statistical rigor, and methodological innovation. The team also applies this commitment to optimization algorithms, tooling, data reporting, behavioral models, metric definition, and experimentation.
Gianluca Violante is a Professor of Economics at Princeton University. He is a Research Associate of the NBER (EFG program), a Research Fellow of the CEPR (LE, MEF, and MG programs) and IZA, an International Fellow of the IFS, and an external research member of CEBI. His main research interests are in macroeconomics, labor economics, and public finance. He has published his research in the American Economic Review, Econometrica, Journal of Political Economy, Quarterly Journal of Economics, and Review of Economic Studies. He has also published in several top-field journals. After his Laurea from the Universita' di Torino, Gianluca received his Ph.D. in Economics from the University of Pennsylvania in 1997. Before joining Princeton, he taught at University College London from 1997 to 2002 and at NYU from 2002 to 2017. From 2009 to 2013, he was the Coordinating Editor of the Review of Economic Dynamics, and from 2015 to 2019 one of the Co-Editors of Econometrica. Since 2017, he is one of the co-leaders of the NBER EFG group Micro data, Macro Models. Gianluca was among the semi-plenary speakers at the 2010 World Congress of the Econometric Society in Shanghai, at the 2016 North American Summer Meetings of the Econometric Society in Philadelphia, and at the 2017 Asian Meetings of the Econometric Society in Hong Kong. He was a plenary speaker at the 2013 Annual Meeting of the SED in Seoul, at the Fall 2015 Midwest Macro Meeting in Rochester, and at the 2019 Econometric Society Winter Meetings in Rotterdam. In March 2016, he gave the Berglas Lecture at Tel Aviv University. His AER article 'Monetary Policy According to HANK' (joint with Greg Kaplan and Ben Moll) won the Economics in Central Banking Award in 2019. Since 2016, he is a Fellow of
the Econometric Society.
For the latest updates on NABE webinars, please visit the NABE Events page. NABE Members can view all past webinars on the NABE Digital Archive page or on the NABE Connect app (download on the App Store or Google Play Store).
