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This paper investigates and extends the computationally attractive nonparametric random coefficients estimator of Fox, Kim, Ryan, and Bajari (2011). We show that their estimator is a special case of the nonnegative LASSO, explaining its sparse nature observed in many applications. Recognizing...
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elasticity without the use of consumption or asset data. We find this elasticity on average to be negative, but small. The degree …
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The study estimates the housing supply elasticity and the impact of geographic constraints in Germany from 2008 … elasticity of 0.22 and a units elasticity of 0.25. The study also reveals that geographical constraints partially affect the … housing supply elasticity across districts. Notably, high development intensity decreases the elasticity, while the …
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of individual appliances to household electricity consumption. Moving beyond the standard focus of estimating mean … contribution of each appliance to the distribution of household electricity consumption. While reflecting correlations, rather than … the opposite tails of the electricity consumption distribution, highlighting the added value of applying quantile …
Persistent link: https://www.econbiz.de/10011764517