A two-step procedure for estimating linear simultaneous equations with unit roots

Article Abstract:

An analysis describing a two-step procedure for measuring linear simultaneous structural equations is presented. The analysis integrates the procedure of setting differences for univariate time series. It is shown that the method yields the number of unit roots and stationary canonical variables. The stationary canonical variables are then retained to estimate a stationary model by applying standard methods.

---

A simultaneous equations model of coffee brand pricing and advertising

Article Abstract:

The theory that General Foods Corp priced its Maxwell House coffee higher in areas where it had a bigger market share is analyzed. The correlation between a differentiated brand's price and market share is ascribed to the Retailer Demand Theory, that explains retailers' acceptance of a lower markup for brands considered special.

Models, Prices and rates, Food industry, Pricing, Brand name products, Brand names, General Foods Corp.

---

Estimating electricity demand: the cost of linearising the budget constraint

Article Abstract:

Elasticity estimates under a rising block pricing scheme of electricity demand in Medellin, Colombia are presented. The generalized Heckman method due to Vella (1990), which reveals similar results, supports the accuracy of the estimates made.

Analysis, Electric power distribution

Similar abstracts:

• Abstracts: Nonparametric estimation of triangular simultaneous equations models. Nonparametric estimation of exact consumers surplus and deadweight loss
• Abstracts: On estimating contemporaneous quarterly regional GDP. Stochastic optimal growth with nonconvexities
• Abstracts: A dynamic model selection procedure to forecast using multi-process models. Robust modelling of ARCH models
• Abstracts: Estimation of exact linear time-varying constraints, with an application to population projections. Constraining Kalman filter and smoothing estimates to satisfy time-varying restrictions
• Abstracts: A model selection approach to real-time macroeconomic forecasting using linear models and artificial neural networks

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.