UC Davis Agricultural and Resource Economics

Alex Aue, Thomas Lee, Frances Moore, Pierre Mérel, Debashis Paul, Bala Rajaratnam, Aaron Smith

Bringing Statistical Methodology to Big Data Problems in Agricultural and Environmental Economics

Date and Location

Friday, May 24, 2019, 9:00 AM - 6:00 PM
ARE Library Conference Room, 4101 Social Sciences and Humanities

Abstract

Update: slides available to UC Davis researchers on Box.

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The workshop is scheduled to take place on Friday, May 24, 2019, in the ARE Library (SS&H 4101).

Organizing Committee: Alexander Aue, Dalia Ghanem, Aaron Smith

The agenda is below.

Agenda
9:30-10:25amIntroductory Session
Introduction to data and economic questionsAaron Smith
Introduction to functional data analysisAlex Aue
10:30am-12:00pmSpatiotemporal Data in Agriculture
From adaptive binning to splines: experimenting with the FDA toolbox for the yield-temperature relationshipMatthieu Stigler
Choosing from competing models using the minimum description length principle: from time series change point detection to image segmentation to texture simulationThomas Lee
DiscussionZhenyu Wei
12:00-1:30pmLunch
1:30-3:00pmHigh-Dimensional Problems in Energy Economics
Residential building codes do save energy: Evidence from hourly smart-meter dataAaron Smith
Addressing the challenge of testing high-dimensional general linear hypotheses through spectral shrinkageDebashis Paul
DiscussionTakuya Ura
3:00-3:30pmCoffee Break
3:30-5:30pmMixed-Frequency Data Problems in Climate Science
Climate econometrics: Can the panel approach account for long-run adaptation?Pierre Merel
Applying big data analysis to understand climate change impactsFrances Moore
Spatial field reconstructions and analysis of extremes with applications to environmental sciencesBala Rajaratnam
DiscussionDalia Ghanem

Please RSVP here.

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