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

May 24, 2019

Update: slides available to UC Davis researchers on Box.

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
9:30-10:25am	Introductory Session
	Introduction to data and economic questions	Aaron Smith
	Introduction to functional data analysis	Alex Aue
10:30am-12:00pm	Spatiotemporal Data in Agriculture
	From adaptive binning to splines: experimenting with the FDA toolbox for the yield-temperature relationship	Matthieu Stigler
	Choosing from competing models using the minimum description length principle: from time series change point detection to image segmentation to texture simulation	Thomas Lee
	Discussion	Zhenyu Wei
12:00-1:30pm	Lunch
1:30-3:00pm	High-Dimensional Problems in Energy Economics
	Residential building codes do save energy: Evidence from hourly smart-meter data	Aaron Smith
	Addressing the challenge of testing high-dimensional general linear hypotheses through spectral shrinkage	Debashis Paul
	Discussion	Takuya Ura
3:00-3:30pm	Coffee Break
3:30-5:30pm	Mixed-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 impacts	Frances Moore
	Spatial field reconstructions and analysis of extremes with applications to environmental sciences	Bala Rajaratnam
	Discussion	Dalia Ghanem

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