Abstract
This paper estimates a nested logit model for space heat and water heat choice using data from the National Interim Energy Consumption Survey (NIECS) by the Department of Energy in 1978. (See Dubin, 1983) for references to the data set and a detailed discussion of procedures used to prepare the data for economic analysis.) The use of micro-level disaggregated survey data to estimate discrete choice models of heating, ventilating, and air-conditioning (HVAC) systems has been very recent, but one can find a few related models in Dubin and McFadden (1984), Brownstone (1980), Goett (1979), Hausman (1979), and McFadden, Puig, and Kirschner (1977). One of the virtues of the structure developed here is that it has been embedded successfully in a larger micro-simulation system (the Residential End-Use Energy Policy System (REEPS)) for purposes of policy forecasting (Goett [1979]).
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