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Estimation in large and disaggregated demand systems: an estimator for condit...
Empirical demand systems that do not impose unreasonable restrictions on preferences are typically non-linear. We show, however, that all popular systems possess the property of... -
Linear household technologies (replication data)
This paper discusses, estimates and formally compares the best known procedures for incorporating demographic variables into complete demand systems. In particular, a class of... -
An empirical comparison of flexible demand system functional forms (replicati...
This paper compares the performance of eight frequently used flexible forms that are either (1) locally flexible, (2) effectively globally regular, or (3) asymptotically... -
Modelling the trend and seasonals within an AIDS model of the demand for alco...
The argument that is put forward in this paper is that failure to represent stochastic trend and stochastic seasonality in an AIDS model leads to a misspecified and possibly... -
Time-varying intercepts and equilibrium analysis: an extension of the dynamic...
Demographic effects and user costs in demand systems have usually been modelled explicitly. A more robust approach is a state space formulation of the demand system, where... -
A rational rank four demand system (replication data)
Past parametric tests of demand system rank employed polynomial Engel curve systems. However, by Gorman's (1981) theorem, the maximum possible rank of a utility-derived... -
The Engel curve for alcohol and the rank of demand systems (replication data)
This paper shows that the quadratic shape of the Engel curve for alcohol is induced by preference heterogeneity between drinkers and abstainers in a Japanese data set. With... -
Habits and heterogeneity in demands: a panel data analysis (replication data)
We examine demand behaviour for intertemporal dependencies, using Spanish panel data. We present evidence that there is both state dependence and correlated heterogeneity in... -
Rotterdam model versus almost ideal demand system: will the best specificatio...
The Rotterdam model and the Almost Ideal Demand System (AIDS) are often applied in consumer demand systems modeling. Using Monte Carlo techniques, we determine which model... -
Bayesian estimation of random-coefficients choice models using aggregate data...
This article discusses the use of Bayesian methods for estimating logit demand models using aggregate data. We analyze two different demand systems: independent samples and... -
THE DEMAND FOR GASOLINE: EVIDENCE FROM HOUSEHOLD SURVEY DATA (replication data)
In this paper we investigate the demand for gasoline in Canada using recent annual expenditure data from the Canadian Survey of Household Spending, over a 13-year period from...