Rethinking Digital Forensics

© IAER 2019In the modern socially-driven, knowledge-based virtual computing environment in which organisations are operating, the current digital forensics tools and practices can no longer meet the need for scientific rigour. There has been an exponential increase in the complexity of the networks with the rise of the Internet of Things, cloud technologies and fog computing altering business operations and models. Adding to the problem are the increased capacity of storage devices and the increased diversity of devices that are attached to networks, operating autonomously. We argue that the laws and standards that have been written, the processes, procedures and tools that are in common use are increasingly not capable of ensuring the requirement for scientific integrity. This paper looks at a number of issues with current practice and discusses measures that can be taken to improve the potential of achieving scientific rigour for digital forensics in the current and developing landscapePeer reviewe

The Morphology of Income Convergence in US States: New Evidence using an Error-Correction-Model

This paper reconsiders the question of regional convergence across the US States over the long-run. The analysis is carried out over the period 1929-2005. Our analysis advocates and implements an Error-Correction-Model (ECM) approach to deal with this issue. The aforementioned model is applied in order to assess the possibilities of intraregional convergence towards steady-state equilibrium, approximated in terms of the State with highest per-capita income in each broad region. Empirical analysis suggests a pattern of convergence in accordance with the ECM supporting its validity. Further inspection of the results provides an indirect indication of the agglomerative effects in shaping the patterns of convergence.Income Convergence; Error-Correction-Model; US States

US Infl ation and infl ation uncertainty in a historical perspective: The impact of recessions

We use over two hundred years of US inflation data to examine the impact of inflation uncertainty on inflation. An analysis of the full period without allowing for various regimes shows no impact of uncertainty on inflation. However, once we distinguish between recessions and non recessions, we find that inflation uncertainty has a negative effect on inflation only in recession times, thus providing support to the Holland hypothesis.asymmetric GARCH, recession, inflation uncertainty

Health is wealth: an empirical note across the US states

An attempt is made to establish the relation between risk-health factors (encapsulated in terms of obesity) and regional convergence, with special reference to the US states. The econometric results indicate that obesity does have an impact on regional growth and convergence. A preliminary examination of these findings shows harmful effects on the process of catching-up between ‘poor’ and ‘rich’ regions. Nevertheless, considerably more research is required before this relation can be discussed with confidence.Health risk factors; obesity; regional convergence; US states

Inflation, inflation uncertainty, and Markov regime switching heteroskedasticity: Evidence from European countries

We use a Markov regime-switching heteroskedasticity model in order to examine the association between inflation and inflation uncertainty in four European countries over the last forty years. This approach allows for regime shifts in both the mean and variance of inflation in order to assess the association between inflation and its uncertainty in short and long horizons. We find that this association differs (i) between transitory and permanent shocks to inflation and (ii) across countries. In particular, the association is positive or zero for transitory shocks and negative or zero for permanent shocks. Hence, Friedman's belief that inflation is positively associated with inflation uncertainty is only partially supported in this study, i.e., by short-run inflation uncertaintyInflation, Inflation uncertainty, Markov process, regime-switching heteroskedasticity

The ‘Trade-off’ between Spatial Equity and Economic Efficiency Revisited: Evidence from the US States

The principle aims of regional policy can be encapsulated in terms of ‘spatial equity’ and ‘economic efficiency’. Establishing the relation between these two aims is of fundamental importance. Conventionally, however, it is assumed that there is a conflict or a ‘trade-off’ between them. In this paper, a hopeful view, i.e. that the two aims are complementary rather than competitive, is put forward. The validity of this view is examined empirically using data for the US States covering the period 1972-2005. The obtained results map an instructive framework for regional policy where the scope for reducing regional inequalities is not incompatible with improvements in economic efficiency.regional growth; regional policy; spatial equity; trade-off

Technology adoption and club convergence

Although the importance of technology adoption has been acknowledged, nevertheless, at a more general level, a critical question arises: how do the overall infrastructure conditions affect the absorptive ability of a regional economy? This question can be stated alternatively as: what are the implications of a ‘poor’ or a ‘superior’ infrastructure for regional convergence? It is possible to provide some answers to these questions by constructing a model of regional convergence that encapsulates the impact of infrastructure in the absorptive ability of a regional economy. In this model the possibility that high technological gaps might act as obstacles to convergence is taken explicitly into consideration. The model developed in this paper indicates that convergence towards leading regions is feasible only for regions with sufficient absorptive capacity, which is assumed to be a function of infrastructure conditions in a regional economy. The model is tested using data for the NUTS-2 regions of the EU-27 during the time period 1995-2006. The results suggest that adoption of technology has a significant effect on regional growth patterns in Europe.Convergence-club, Technological Gap, European Regions

Macroeconomic Uncertainty and Performance in Asian Countries

We use a very general bivariate GARCH-M model and quarterly data for five Asian countries to test for the impact of real and nominal macroeconomic uncertainty on in°ation and output growth. We conclude the following. First, in the majority of countries uncertainty regarding the output growth rate is related negatively to the average growth rate. Second, contrary to expectations, infation uncertainty in most cases does not harm the output growth perfor- mance of an economy. Third, in°ation and output uncertainty have a mixed effect on inflation. Consistent results are found using the VAR-GARCH-M approach to investigate the dynamic relationship between in°ation and output growth using impulse response functions. This evidence implies that macroeconomic uncertainty may even improve macroeconomic performance, i.e., raise output growth and reduce inflation. Our empirical results highlight important differences with those for industrialized countries.Inflation, Output growth, Uncertainty, GARCH models