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274 !
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Tue, 7/30/2019,
8:30 AM -
10:20 AM
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CC-201
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Macroeconomic Forecasting and Policy in Data Rich Digital Age Environments — Invited Papers
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Business and Economic Statistics Section, Section on Risk Analysis, Section on Statistical Learning and Data Science
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Organizer(s): Arnab Bhattacharjee, Heriot-Watt University
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Chair(s): Liqian Cai, Liberty Mutual
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8:35 AM
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Some High-Diemnesional Techniques for Analyzing Spatial and Other Complex Economic Data
Taps Maiti, Michigan State University
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8:55 AM
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Prediction and Causal Inference Using Linear Regularized Regression with an Application to Commuting in Ireland
Achim Ahrens, Economic and Social Research Institute; Christian B Hansen, University of Chicago Booth School of Business; Mark E Schaffer, Heriot-Watt University
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9:15 AM
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Financial Stress Scenario Development in a Data-Rich Environment - a Practitioner's View
Xin Wang, HSBC/ IHS Markit
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9:35 AM
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Google Trends and the Macroeconomy: a Bayesian Mixed Frequency Approach
Arnab Bhattacharjee, Heriot-Watt University; David Kohns, Heriot-Watt University
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9:55 AM
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Inference in High-Dimensional Models Without Regularization
Ying Zhu, UC San Diego; Kaspar Wuthrich, UC San Diego
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10:15 AM
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Floor Discussion
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