Using new time-series data for the size of the Canadian underground economy, the relationship between unreported and measured GDP in that country is examined. Granger causality tests are conducted, with a proper allowance for the non-stationarity of the data. It is found that there is clear...

In this paper we develop flexible techniques for measuring the speed of output convergence between countries when such convergence may be of an unknown non-linear form. We then calculate these convergence speeds for various countries, in terms of half-lives, from two time-series data-sets. These...

We use survival models to analyze the duration of the spells associated with the interest rate used by the Bank of Canada as its monetary policy instrument. Both non-parametric and parametric models are estimated, allowing for right-censoring of the data, and time-varying covariates. We find...

The empirical likelihood ratio (ELR) test for the problem of testing for normality is derived in this paper. The sampling properties of the ELR test and four other commonly used tests are provided and analyzed using the Monte Carlo simulation technique. The power comparisons against a wide range...

This study investigates the degree of size-distortion of the RESET, FRESETL and FRESETS tests, and their ability to reject falsely specified models in terms of an omitted variable, in the presence of autocorrelation. Specifically, in the presence of AR(1) and MA(1) processes, respectively. We...

We use nonparametric regression analysis to investigate the relationship between the effective tax rate and the relative size of the underground economy, using New Zealand data. The theoretical underpinnings of such a relationship are established by extending some of the predictions of the...

Various authors have proposed using the jackknife technique to approximate a standard error for the Gini coefficient. It has also been shown that the Gini measure can be obtained simply from an artificial OLS regression based on the data and their ranks. Accordingly, we show that obtaining an...

In this paper we consider the use of fuzzy modelling in the context of econometric analysis of both time-series and cross-section data. We discuss and demonstrate a semi-parametric methodology for model identification and estimation that is based on the Fuzzy c-Means algorithm that is widely...

We use nonparametric regression analysis to investigate the relationship between the effective tax rate and the relative size of the underground economy, using New Zealand data. The theoretical underpinnings of such a relationship are established by extending some of the predictions of the...