BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UCLA Luskin Center for Innovation - ECPv6.15.16//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://innovation.luskin.ucla.edu
X-WR-CALDESC:Events for UCLA Luskin Center for Innovation
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20140309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20141102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20150308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20151101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20160313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20161106T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20150213T100000
DTEND;TZID=America/Los_Angeles:20150213T120000
DTSTAMP:20260506T151114
CREATED:20180801T215233Z
LAST-MODIFIED:20180801T215233Z
UID:4501-1423821600-1423828800@innovation.luskin.ucla.edu
SUMMARY:Hurdles and Steps: Estimating Demand for Solar Photovoltaics
DESCRIPTION:Hurdles and Steps:Estimating Demand for Solar PhotovoltaicsTsvetan Tsvetanov\, Yale UniversityKenneth Gillingham\, Yale UniversityNovember 12\, 2014JOB MARKET PAPER: AbstractIn light of the steadily decreasing step schedule of financial incentives for solar photovoltaic (PV) installations in a number of states\, understanding the demand for residential PV systems is important for both policymakers and firms. This paper estimates residential solar demand in Connecticut using a new approach to address three empirical challenges that can arise with count data in our setting: excess zeros\, unobserved heterogeneity\, and endogeneity of price. We develop a Poisson hurdle model that allows for both fixed effects and instrumental variable estimation. Our results imply a nearly unitary price elasticity of demand for solar PV systems of -1.03. Counterfactual policy simulations suggest that the number of new installations in Connecticut in 2013 would have been 35 percent less than observed in the absence of state financial incentives. Policies to eliminate permitting costs\, such as those implemented in several states\, would have increased the number of new installations by 1.5 percent.
URL:https://innovation.luskin.ucla.edu/event/hurdles-and-steps-estimating-demand-for-solar-photovoltaics-2/
END:VEVENT
END:VCALENDAR