A procedure for computing the parameters of latent multifactor models in econometrics is proposed based on indirect estimation methods.

Poskitt and Skeels (2005) provide a new approximation to the sampling distribution of the IV estimator in a simultaneous equations model, the approximation is appropriate when the concentration parameter associated with the reduced form model is small. We present approximations to the sampling...

This paper proposes a range of parametric and nonparametric corrections to the GPH estimator of the differencing parameter in a fractionally integrated process. It is argued that the GPH estimator can suffer from an identification problem at the very low frequencies in the spectrum in small samples.

Indirect estimation methods are proposed for estimating univariate ARFIMA , as well as more complex multivariate VARFIMA models. Special attention is given to comparing the finite sampling properties of the indirect estimator with Sowell's (1992a) exact time domain maximum likelihood estimator...

A new technique for estimating market power in several markets simultaneously is developed and applied to the Australian retail beef, lamb, and pork markets. Some support is found for the restriction that market power is the same for each meat. Given equal market power in all three meats, we...

In this paper we examine the alternative detrending methods used to identify the stylised facts of the business cycle and develop a simple smoothing procedure that can be used to estimate the asymmetric cycles digested by an important class of macroeconomic models. To illustrate the properties...

Time series data consisting of 671 observations of seawater temperature, observed at irregular intervals off Maria Island, Hobart, Australia, over a period of 50 years, are examined. The mean temperature exhibits an approximately linear trend which is taken as evidence of glabal warming.

In late 2003 and early 2004 the Economic Society of Australia surveyed the Heads of Economics Departments in Australia to determine their views on three main issues: student standards, major factors affecting these standards, and policy implications. This paper describes the main results of the...

One form of data reduction is cluster analysis which is used to separate detailed data into consistuent groups. In this paper we illustrate a useful application of cluster analysis to the data reduction of detailed discrete responses of a type that are often found in large surveys.

We develop a GMM procedure for estimating income distributions from grouped data with unknown group bounds. The approach enables us to obtain standard errors for the estimated parameters and functions of the parameters, such as inequality and poverty measures, and to test the validity of an...