Showing 1 - 10 of 19
The problem considered in this paper is how to find reliable prediction intervals with simple exponential smoothing and trend corrected exponential smoothing. Methods for constructing prediction intervals based on linear approximation and bootstrapping are proposed.
Persistent link: https://www.econbiz.de/10005087580
The Consumer Panel of Australia data collected by the Roy Morgan Research Centre is used to investigate the determinantes of brand choice behavior in the laundry detergent market.
Persistent link: https://www.econbiz.de/10005087590
It is well known that the usual techniques for estimating random and fixed effects panel data models are inconsistent in the dynamic setting. As a consequence, numerous consistent estimators have been proposed in the literature. However, all such estimators rely on certain well defined...
Persistent link: https://www.econbiz.de/10005087599
This paper is concerned with model selection based on penalized maximized log likelihood function. Its main emphasis is on how these penalities might be chosen in small samples to give good statistical properties.
Persistent link: https://www.econbiz.de/10005087604
A Bayesian approach is presented for nonparametric estimation of an additive regression model with autocorrelated errors.
Persistent link: https://www.econbiz.de/10005149033
This paper considers the construction of model selection procedures based on choosing the model with the largest maximised log-likelihood mimus a penalty, when key parameters are restricted to be in a closed interval. The approach adopted is based on King et al.'s (1995) representative models...
Persistent link: https://www.econbiz.de/10005149039
The gravity model has long been used fro modelling and predicting trade flows. This paper generalises the gravity model allowing for proper representation of local and target country effects and also the business cyles.
Persistent link: https://www.econbiz.de/10005149101
Persistent link: https://www.econbiz.de/10005149117
The main objective of this study is to investigate the rebustness of the popular Durbin-Watson (DW), Langrage multiplier (LM), Box-Pierce (BP) and Ljung-Box (LB) tests and their corrected versions against autoregressive distrurbances in the presence of dynamic heteroscedastic disturbances with...
Persistent link: https://www.econbiz.de/10005581120
This paper considers residuals for time series regression. Despite much literature on visual diagnostics for uncorrelated data, there is little on the autocorrelated case. In order to examine various aspects of the fitted time series regression model, three residuals are considered. The fitted...
Persistent link: https://www.econbiz.de/10005581126