The phenomenon that married men earn higher average wages than unmarried men, the so-called marriage premium, is well known. However, the robustness of the marriage premium across the wage distribution and the underlying causes of the marriage premium deserve closer scrutiny. Focusing on the entire wage distribution and employing recently developed semi-nonparametric tests for quantile treatmen...

Financial statements of nineteen mature banks have been patronized to examine the impact of macroeconomic indicators and bank-specific determinants on the NPLs ratio through Quantile and Panel Data regression approaches. The impact of macroeconomic indicators on credit risk is statistically estimated for banking network via two directions. First, different quantiles are econometrically calculat...

We examine the ability of the Expansionary Fiscal Contraction (EFC) hypothesis to explain the performance of of OECD economies during times of crisis. We ̄nd some limited evidence in its favour: if public consumption is reduced in response to a ̄scal crisis (as de ̄ned by a high level of debt), private consumption does seem to increase. However the size of the e®ect is smaller than that typicall...

this article is a comparative study of estimation power of artificial neural networks and autoregressive time series models in inflation forecasting. using 37 years iran’s inflation data, neural networks performs better on average for short horizons than autoregressive models. this study shows usefulness of early stopping technique in learning stage of neural networks for estimating time series...

In this paper we introduce a panel quantile estimator for count data with individual heterogeneity, by constructing continuous variables whose conditional quantiles have a one-to-one relationship with the conditional count response variable. The new method is needed as a result of the increased availability of Big Data, which allows us to track event counts at the individual level for a large n...

For spatial data with a suffi ciently long time dimension, the concept of global cointegration has been recently included in the econometrics research agenda. Global cointegration arises when non-stationary time series are cointegrated both within and between spatial units. In this paper, we analyze the role of globally cointegrated variable relationships using German regional data (NUTS 1 leve...

The paper sets up a nesting spatial regression model incorpora ting heteroskedastic shocks, and discusses hypothesis testing in both nested and nonnested cases in a quasi-likelihood framework, suggesting directions for future research effort. JEL classification: C21.

This research examines whether technology transfer, research intensity, educational attainment and the ability to absorb foreign technology help explain cross-country differences in productivity growth. Our data comprise a panel of 55 countries including 23 OECD and 32 developing economies over the period 1970-2004. The results show that TFP growth in both OECD and developing countries is posit...

This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive fixed effects, and provides an extension of Hsiao et al. (2002) that allows for a multifactor error structure. This is an important extension since it retains the advantages of the transformed likelihood approach, whilst at the same time allows for observed factors (fixed or ran...