Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/217143 
Erscheinungsjahr: 
2019
Quellenangabe: 
[Journal:] Quantitative Economics [ISSN:] 1759-7331 [Volume:] 10 [Issue:] 1 [Publisher:] The Econometric Society [Place:] New Haven, CT [Year:] 2019 [Pages:] 275-310
Verlag: 
The Econometric Society, New Haven, CT
Zusammenfassung: 
This paper estimates demand for residential solar photovoltaic (PV) systems using a new approach to address three empirical challenges that often arise with count data: excess zeros, unobserved heterogeneity, and endogeneity of price. Our results imply a price elasticity of demand for solar PV systems of −0.65. Counterfactual policy simulations indicate that reducing state financial incentives in half would have led to 9% fewer new installations in Connecticut in 2014. Calculations suggest a subsidy program cost of $364/tCO2 assuming solar displaces natural gas. Our Poisson hurdle approach holds promise for modeling the demand for many new technologies.
Schlagwörter: 
Count data
hurdle model
fixed effects
instrumental variables
Poisson
energy policy
JEL: 
C33
C36
Q42
Q48
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