This analysis assesses the role of social capital in generating heterogeneity in growth processes across U.S. counties by estimating growth regressions, using the novel semiparametric smooth coefficient quantile regression method in which parameters are unspecified functions of a measure of...

A spatial error model is classified as a geostatistical model or a weight matrix model on the basis of the method of specification of spatial autocorrelation in the disturbance. Specification errors cannot be assumed to be absent, and the robustness of alternative specifications is useful for...

In this paper, we propose a new semiparametric method for GARCH model by combining the EGARCH (1,1) model and local polynomial regression. Based on the idea of two-stage estimate, a link function is estimated by the local polynomial and then the parameters are obtained via the weighted least...

Intraday data of 26 German stocks are used to investigate whether the information contained in trading volume and number of trades as well as in various specifications of overnight returns can improve one-step-ahead volatility forecasts. For this purpose, a HAR model of the realized range...

Recent literature has attempted to apply Extreme Value Theory (EVT) in the identification of currency crises. However, these approaches seem to have confused the thresholds in extreme modeling with the cutoffs of currency crises. Our paper proposes a Return Level Identification Approach, also...

This paper investigates the momentum effects under different firm performance levels for Chinese real estate stocks using quantile regression with a dummy variable estimator. This paper finds that regardless of the momentum horizon, the momentum effects are positive under high-performing...

An increasing amount of empirical evidence suggests that patients with higher socioeconomic status wait less within publicly-funded hospitals to receive non-emergency (elective) surgery. Using data from Australia, we investigate the extent to which such gradient can be explained by sample...

This paper is aimed at exploring the role played by space on the dynamics of regional per capita income disparities in Europe between 1980 and 2005. To do that, an analysis based on the so-called distribution dynamics approach is used as benchmark. Therefore, the external shape of the per capita...

Macroeconomic policy decisions in real-time are based on the assessment of current and future economic conditions. Crucially, these assessments are made difficult by the presence of incomplete and noisy data. The problem is more acute for emerging market economies, where most economic data are...

This study develops comprehensive full-sector macro-econometric models for the Nigerian economy with the aim of explaining and providing a long-term solution for the persistent growth–poverty divergence experienced by the country. The models are applied to test the hypothesis of existing...