This is an exploratory study that attempts to identify and provide empirical evidence on the possible determinants of the market capitalisation of the Harare Stock Exchange (HSE) with the view of understanding the development prospects of the HSE and other similar markets. The study used...

To measure the economic effects of political movements in China a simple econo-metric model is constructed. Investment is determined by a central planner maximizing a multiperiod objective function. Political events are modeled by exogenous changes in the shocks to productivity and to investment...

We construct a structural econometric model to measure partially the economic effects of political movements in China.

The transportation system is a fundamental component of the urban economic development, with its generating feature of negative supply externalities standing out (and, as a result, of the satisfied demand for some kind of this supply’s structure) related to congestion and environmental...

Testing the distribution of a random sample can be considered ,indeed, as a goodness-of-fit problem. If we use the nonparametric density estimation of the sample as a consistent estimate of exact distribution, the problem reduces, more specifically, to the distance of two functions. This paper...

This paper presents a flexible functional form called third-order translog, which includes higher-order terms, to estimate systems of budget-share equations using Canadian crosssectional micro-data. We test the statistical significance of the third-order terms, and also test regularity...

The optimal minimum distance (OMD) estimator for models of covariance structures is asymptotically efficient but has much worse finite-sample properties than does the equally-weighted minimum distance (EWMD) estimator. This paper shows how the bootstrap can be used to improve the finite-sample...

During the last two decades, the discrete-choice modelling of labour supply decisions has become increasingly popular, starting with Aaberge et al. (1995) and van Soest (1995). Within the literature adopting this approach there are however two potentially important issues that are worthwhile...

This paper introduces L-scaling, which computes scaled scores from multivariate data. We demonstrate the uniqueness, positivity and equivariance of the L-scaling weights. The relationship of L-scaling to ANOVA and principal components is explained, robustness and inference are discussed, and an...