unification. In particular, we deduce an Equivalent Variation measure from a logarithmic demand function and a budget constraint …

Electricity demand is modeled as a time-varying parameters (TVP) vector autoegression with or without imposing …

Estimating demand for wide assortments of differentiated goods requires the specification of a demand system that is … parameters within a log-linear demand system where the number of price elasticity parameters grows quadratically in the number of … elasticities and demand predictions can be improved by imposing shrinkage to higher-level group effects rather than zero …

external demand forecast faster than is currently possible. The external demand forecast helps to forecast exports and, through … with the help thereof - their external demand, relying on BVAR models and using monthly time series (confidence indices … than on the rolling sample. The forecast of external demand is also more accurate if we use the whole sample. The most …

We propose a demand estimation method that allows for a large number of zerosale observations, rich unobserved … an empirical application of air travel demand. …

We propose an approach to modeling and estimating discrete choice demand that allows for a large number of zero sale … empirical application of air travel demand where product-level sales are sparse. We find considerable variation in demand over … time. Periods of peak demand feature both larger market sizes and consumers with higher willingness to pay. This amplifies …