Overview In contrast to the classical linear regression model, in which the components of the dependent variable vector y are not identically distributed (because its mean vector varies with the regressors) but may be independently distributed, time series models have dependent variables which may be identically distributed, but are typically not independent across ovbservations. Such models ar...

Time series data measure phenomena when there are dependencies over time between prior and current values of the observations. This chapter provides a brief introduction to the standard (linear autoregressive moving-average) time series models including how such models are identified and fitted to the data. A review of more generalized models follows. This includes bilinear models which are use...

Many widely used economic models implicitly assume that income shares should be identical across time and space. Although time series data from industrial countries appear consistent with this notion, cross-section data generally appear to contradict the assumption of constant income shares. A commonly used calculation suggests that labor shares of national income vary from about 0.05 to about ...

Whenever industrial plants consume power and heat there is a need to consider energy efficiency investment on a cogeneration (CHP) plant. We investigate economic incentives influencing the adoption of energy saving technology by industry, namely, CHP in UK and Dutch manufacturing sectors. Our analysis is based on an empirical model by the application of cross sectional time series econometric m...

Periodic time series models have become an appealing tool for the analysis of time series showing distinct seasonal patterns. Since these models condition the data{generating mechanism of a given time series on the season they are able to cope with periodic generalisations of common economic models introducing seasonal preferences, seasonal technologies etc. The paper examines for some macroeco...

Parameter estimation for nonignorable nonresponse data is a challenging issue as the missing mechanism is unverified in practice and the parameters of response probabilities need to be estimated. This article aims at applying the empirical likelihood to construct the confidence intervals for the parameters of interest in linear regression models with nonignorable missing response data and the n...

In this communication, some economic models given by functional mappings are addressed. These are models for random markets where agents trade by pairs and exchange their money in a random and conservative way. They display the exponential wealth distribution as asymptotic equilibrium, independently of the effectiveness of the transactions and of the limitation of the total wealth. The entropy ...