Back to basics: The Comanor–Wilson MES index revisited

The present article attempts to investigate the validity of the Comanor–Wilson Minimum Efficient Size (MES) measure. The basic assumption is that firms that have exhausted scale economies are in non-increasing returns to scale. The same firms are also assumed to have a size greater than MES estimated on sales (total turnover), employment or fixed assets. Data Envelopment Analysis (DEA) is used, on a sample of firms in three Greek manufacturing industries, to classify firms in operation according to increasing or non-increasing returns to scale. On the basis of the results of the DEA input oriented model, the MES measure correctly predicts over 85% of the cases. A probit model is applied to those cases that are not identically predicted by MES concerning returns to scale. Results indicate that technical efficiency, size and age are the factors that compel MES to yield the same prediction as the DEA approach.

The Location of Markets,Perceived Entrepreneurial Risk,and Start-up Capital of Micro Rural Firms

It is argued that when founders of SMEs perceive the probability of a successful and lucrative venture to be greater, they are more likely to provide a greater proportion of the start-up capital. This paper provides an empirical examination of two concurrent hypotheses. Firstly, that the size of the debt or equity is affected by factors influencing perceived entrepreneurial risk. Secondly, that the location of the market for the firm’s output is a major factor reducing perceived entrepreneurial risk and increasing equity of the start-up capital. A statistical analysis based on the simultaneous tobit model is used. Results show that significant factors influencing risk perception include the size of the new business and the sector of economic activity, as well as entrepreneurial experience and the location of the markets for the firm’s output. The results highlight implications for the design and implementation of rural development policies and especially for the instruments supporting rural business creation.     

Estimating diffusion and price elasticity with application to telecommunications

This paper aims to propose a new framework for estimating and forecasting diffusion of high technology products, along with the construction of a price index. Into that context, the “diffusion–price” model is presented, as an innovative concept providing a long term estimation of both price and diffusion elasticity. This corresponds to the bidirectional estimation of the mutual influence of the product’s price over its expected diffusion and vice versa. The discrete parts of the methodology are the use of a diffusion model for the initial estimation of diffusion, the construction of a price index function for estimating the pricing mechanism and, finally, the construction of the “diffusion–price” model for estimating and adjusting the diffusion level and price quantities. The case studies examined, whose solution was based on genetic algorithms, revealed remarkable results which can be used for business strategies development, as the pricing policy is able to make diffusion diverge substantially from the initial estimates. The case studies considered correspond to the ADSL technology diffusion in the wider European area.     

Evaluation of technological and socio-economic issues affecting the deployment of home networks: evidence from the ICT-OMEGA project

Home networks (HNs) are rapidly becoming the next battlefield for various telecom carriers and companies. The European project ICT-OMEGA seeks to enable the convergence of the diverse wireless and wireline technologies at the Medium Access Control (MAC) layer. In such a world of converging, heterogeneous HN technologies, system designers needs to take into account several technical, economic and social aspects that will effect the development and the rate of adoption of HNs by the general public. Careful roadmapping is required to ensure a smooth transition from existing to the next generation HN systems. The objective of this paper is to provide an evaluation of the key technological and socio-economic issues, which may affect the deployment of HNs. Within the OMEGA project, such issues are addressed using surveys conducted by the project experts, designed based on the Analytic Hierarchy Process (AHP). In this paper, the results of the surveys, conducted using pairwise comparison (which is an important ingredient of AHP) are presented. Several critical aspects are identified and their importance is weighted. The conclusions drawn are important for the overall roadmapping effort of future HN technologies.     

UK investment trust portfolio strategies before the First World War†

UK investment trust companies were at the forefront of financial innovation during the so-called first globalization era before the First World War. This study examines their portfolio strategies in detail, using a unique dataset of 115 portfolio observations for 30 different investment trust companies, comprising a total of 32,708 portfolio holdings. Our results reveal strong performance and relatively sophisticated asset management, which was based on a mixture of a buy-and-hold investment strategy and active portfolio management. Investment trusts employed global rather than domestic diversification. The early predominant investment in bonds in the 1880s gradually declined in favour of ordinary and preferred shares. North and Latin American markets were the main geographical target of UK investment trusts, with less appetite for domestic investments and negligible interest in continental European financial securities. There is significant cross-sectional variation in asset allocation between investment trusts; they thus avoided herding behaviour in portfolio choice and developed a wide range of different portfolio strategies.     

The Relevance of the Monetary Model for the Euro / USD Exchange Rate Determination: a Long Run Perspective

This study tries to fill a vacuum in the literature on the relevance of economic fundamentals for the Euro / USD exchange rate determination. We adopt the Monetary Model for the Exchange Rate Determination as our testing vehicle and investigate the relevance of various versions of this model over a long time horizon, spanning the period from the inception of Euro till the present time. We rely on cointegration analysis to conduct our empirical research and in accordance to the relevant literature we fail to accept most of the variants of this model. However, we get encouraging results from an expanded version of the Monetary Model where demand and productivity factors appear in the set of the exchange rate determinants.     

Individual investors and social ownership structures in the UK before the 1930s: Joint holdings and trustee investment

After the introduction of limited liability, a growing number of individuals in Britain from a widening social spectrum, including the less affluent, began to own stocks and shares. Drawing upon a unique and large dataset of 35 848 investors between 1870 and 1935, this study analyses joint holdings which have been a neglected aspect of investor behaviour. Our findings reveal that joint holdings were quite common and that about one in five UK investors were involved in a joint investment. Men were more likely to be joint holders than women for reasons related to institutions of social ownership such as trusts and executorships.     

Subsampling Inference with K Populations and a Non‐standard Behrens–Fisher Problem

We revisit the methodology and historical development of subsampling, and then explore in detail its use in hypothesis testing, an area which has received surprisingly modest attention. In particular, the general set‐up of a possibly high‐dimensional parameter with data from K populations is explored. The role of centring the subsampling distribution is highlighted, and it is shown that hypothesis testing with a data‐centred subsampling distribution is more powerful. In addition we demonstrate subsampling’s ability to handle a non‐standard Behrens–Fisher problem, i.e., a comparison of the means of two or more populations which may possess not only different and possibly infinite variances, but may also possess different distributions. However, our formulation is general, permitting even functional data and/or statistics. Finally, we provide theory for K ‐ sample U ‐ statistics that helps establish the asymptotic validity of subsampling confidence intervals and tests in this very general setting.     

Spectral density and spectral distribution inference for long memory time series via fixed-b asymptotics

This paper studies taper-based estimates of the spectral density utilizing a fixed bandwidth ratio asymptotic framework, and makes several theoretical contributions: (i) we treat multiple frequencies jointly, (ii) we allow for long-range dependence or anti-persistence at differing frequencies, (iii) we allow for tapers that are only piecewise smooth or discontinuous, including flat-top and truncation tapers, (iv) we study higher-order accuracy through the limit distribution’s Laplace Transform, (v) we develop a taper-based estimation theory for the spectral distribution, and show how confidence bands can be constructed. Simulation results produce quantiles and document the finite-sample size properties of the estimators, and a few empirical applications demonstrate the utility of the new methods.