Successive administrative policies, overlaid on the traditional communal land tenure system in the Qaukeni area of the Eastern Cape, have had the effect of tying people to the land and creating an environment that severely constrains opportunities for development. This article traces the...

TDF is a live subject, constrained by old confusions and worn out issues. Under a suggested new term 'international data services', which applies itself directly to the problems involved, this paper examines the current environment and addresses the pressing issues. The author discards matters...

By its very nature, transborder data flow is international in scope, since it involves the transfer of data and information across national boundaries. The problems and issues it raises are complex and often sensitive. Many are without precedent and highly protean in character, as the pace of...

As the dust settles on the Labour leadership race and the Labour opposition begins a new phase under Ed Miliband, Peter Robinson takes a hard look at what politicians of all colours might learn from the rollercoaster ride of the Blair-Brown years. Copyright (c) 2010 The Author. Public Policy...

Power law or generalized polynomial regressions with unknown real-valued exponents and coefficients, and weakly dependent errors, are considered for observations over time, space or space-time. Consistency and asymptotic normality of nonlinear least squares estimates of the parameters are...

Central limit theorems are developed for instrumental variables estimates of linear and semiparametric partly linear regression models for spatial data. General forms of spatial dependence and heterogeneity in explanatory variables and unobservable disturbances are permitted. We discuss...

Panel data, whose series length T is large but whose cross-section size N need not be, are assumed to have a common time trend. The time trend is of unknown form, the model includes additive, unknown, individual-specific components, and we allow for spatial or other cross-sectional dependence...

Nonparametric regression with spatial, or spatio-temporal, data is considered. The conditional mean of a dependent variable, given explanatory ones, is a nonparametric function, while the conditional covariance reflects spatial correlation. Conditional heteroscedasticity is also allowed, as well...

This authoritative and comprehensive Handbook showcases the nature and benefits of the new wave in entrepreneurship education emerging as a result of revised academic programmes developed to reflect new forms of entrepreneurship.

We consider a parametric spectral density with power-law behaviour about a fractional pole at the unknown frequency !. The case of known !, especially ! = 0, is standard in the long memory literature. When ! is unknown, asymptotic distribution theory for estimates of parameters, including the...