Purpose: Given the severity and the length of the crisis caused by the COVID-19 pandemic, information on the financial impact of the pandemic becomes useful to enterprises who wish to arm themselves with strategies and policies, designed to combat the effects of similar crises. Such information...

Through the use of a simple turning - point error analysis the study attempts to evaluate the accuracy of OECD forecasts for Greece. Comparing our forecasts using low cost estimation time series forecasting techniques with those of the OECD, we concluded that the OECD should re-examine its...

This short paper demonstrates that the use of temporally aggregated data may affect the performance of the well known Akaike and Schwarz model selection criteria. These two criteria are widely used for model selection in linear and nonlinear models. Using Monte Carlo techniques, we find that...

The accuracy of forecasts by OECD for Turkey is examined, for nine macroeconomic variables over the period 1980-1993. Using turning-point diagnostics analysis it is concluded that the OECD should re-examine its potentials in order to improve its forecasting ability.

This short paper demonstrates that the use of temporally aggregated data may affect the performance of the well known Akaike and Schwarz model selection criteria. These two criteria are widely used for model selection in linear and nonlinear models. Using Monte Carlo techniques, we find that...

This paper explores how vertical relations influence the timing of new technology adoption. It shows that both the bargaining power distribution among the vertically related firms and the contract type through which vertical trading is conducted affect crucially the speed of adoption: the...

This paper explores how vertical relations influence the timing of new technology adoption. It shows that both the bargaining power distribution among the vertically related firms and the contract type through which vertical trading is conducted affect crucially the speed of adoption: the...