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.     

Estimating exact hedonic indexes: An application to UK television sets

Much attention has been given to the estimation of hedonic regressions given their potential use as a means to adjust consumer and producer price indices for quality changes. However, there has been warranted criticism over the methods used, particularly relating to the econometric specification of the models. Much of the criticism has arisen from the inability of available data to match the requirements of a fully specified model. Using EPOS scanner data for UK television sets we provide reliable hedonic estimates which incorporate several developments. Such data are available for a wide range of product areas and this application illustrates how they might be used. We develop methodology to help surmount problems arising from omitted variables, the coexistence of new and old models, weighting of observations and quality changes common to all models. More specifically we pay particular attention to the neglected area of product markets where pricing is above marginal cost.     

Efficiency and productivity growth in the banking industry of Central and Eastern Europe

We employ the directional technology distance function and provide estimates of bank efficiency and productivity change across Central and Eastern European (CEE) countries and across banks with different ownership status for the period 1998–2003. Our results demonstrate the strong links of competition and concentration with bank efficiency. They also show that productivity for the whole region initially declined but has improved more recently with further progress on institutional and structural reforms. Input-biased technical change has been consistently positive throughout the entire period suggesting that the reforms have induced favorable changes in relative input prices and input mix. However we find evidence of diverging trends in productivity growth patterns across banking industries and that foreign banks outperform domestic private and state-owned banks both in terms of efficiency and productivity gains. Overall, we find that productivity change in CEE is driven by technological change rather than efficiency change.     

Technoeconomic analysis of a VDSL2/G.fast vectoring network: a case study from Greece

NETNOMICS: Economic Research and Electronic Networking - Following the increasing need for higher broadband speeds, the European Commission (EC) has set specific goals to all member states...     

Unpacking the impact of innovation ambidexterity on export performance: Microfoundations and infrastructure investment

When designing and managing routines for their innovation activities firms often face a challenge. Either they can concentrate their efforts on one approach i.e. exploring new ideas or exploiting its existing capabilities, or they can try to do both, i.e. becoming ambidextrous. In this paper, we aim to explore first the effect of exploration, exploitation and ambidexterity on export performance and second the moderating role of investment in infrastructure. Using firm-level data from the UK’s innovation survey (CIS) we find that both exploration and exploitation improve export performance. We also find that investment in infrastructure weakens this relationship. Counterintuitively, we find that ambidexterity has a negative effect on export performance, and that it is negatively moderated by investment in infrastructure. We use microfoundations arguments (the routines firms employ and the actions taken by individuals and groups within them to shape their exporting capabilities) to explain how efforts to achieve ambidexterity can improve export performance.     

Introduction to the Special Issue in “Celebrating 25 Years of the EU Single Market”

Review of Industrial Organization -     

Long‐term Performance of Greek IPOs

We analyse the long‐run performance of 254 Greek IPOs that were listed during the period 1994–2002, computing buy‐and‐hold abnormal returns (BHAR) and cumulative abnormal returns (CAR) over 36 months of secondary market performance. The empirical results differ from international evidence and reveal long‐term overperformance that continues for a substantial interval after listing. Measuring these returns in calendar time, we find statistical significance with several of the benchmarks employed. We also find that long‐term overperformance is a feature of the mass of IPOs conducted during a pronounced IPO wave. Cross‐sectional regressions of long‐run performance disclose several significant factors. The study demonstrates that although Greek IPOs overperform the market for a longer period, underperformance eventually emerges, in line with much international evidence. Our interpretation is that the persistence of overperformance over a significant interval is due to excessive supply of issues during the ‘hot IPO period’. Results associated with pricing during the ‘hot IPO period’ indicate positive short‐ (1‐year), medium‐ (2‐year) and negative long‐term (3‐year) performance.     

Political geography and stock returns: The value and risk implications of proximity to political power

We show that political geography has a pervasive effect on the cross-section of stock returns. We collect election results over a 40-year period and use a political alignment index (PAI) of each state's leading politicians with the ruling (presidential) party to proxy for local firms’ proximity to political power. Firms whose headquarters are located in high PAI states outperform those located in low PAI states, both in terms of raw returns, and on a risk-adjusted basis. Overall, although we cannot rule out indirect political connectedness advantages as an explanation of the PAI effect, our results are consistent with the notion that proximity to political power has stock return implications because it reflects firms’ exposure to policy risk.     

Is British output growth related to its uncertainty? Evidence using eight centuries of data

We examine the empirical relationship between output variability and output growth for Britain using data for eight centuries covering the 1270 to 2014 period. Drawing on the economic history literature, we split the full sample period into four subperiods and use GARCH models to measure output growth uncertainty and estimate its effect on average growth. Within each sub-sample, we allow output growth to depend on the state of the system, for example 2-regime switching model would switch between high-growth and low-growth regimes. We find that the effect of uncertainty on growth differs depending on the existing growth regime. Low-growth regimes are associated with a negative effect of uncertainty on growth, and medium or high-growth regimes are associated with a positive effect. These findings are consistent across the four states of economic development. Our results indicate why the empirical literature to date has found mixed results when examining the effect of uncertainty on growth.