Enlargement and the labour market: perception,theory and fact

Favourable labour market outcomes are essential for economic and social cohesion within the newly enlarged European Union. However, Eurobarometer evidence indicates that many in the 10 incoming countries are not convinced that membership will deliver such a result. Also, there is no unambiguous theoretical framework that suggests otherwise. A more optimistic scenario can be obtained by reference to the experiences of earlier low‐income Community entrants during their first years of membership, although long‐term convergence has remained elusive.     

Ambidexterity and Knowledge Strategy in Major Projects: A Framework and Illustrative Case Study

We develop a framework to analyze the multi‐level knowledge requirements of complex, major projects in terms of ambidexterity—the ability to exploit (refine existing knowledge) and explore (develop new knowledge). This is an important theme within the wider literature, yet practical operationalization methods for managers and researchers are not evident. We demonstrate the ambidexterity view through an illustrative case study of telecommunications delivery for the London 2012 Olympic Games and show how these concepts can be used to create an effective knowledge strategy. We offer a structure for the analysis of knowledge utilization in projects.     

Disclosure‐protected Inference Using Generalised Linear Models

Vast amounts of data that could be used in the development and evaluation of policy for the benefit of society are collected by statistical agencies. It is therefore no surprise that there is very strong demand from analysts, within business, government, universities and other organisations, to access such data. When allowing access to micro‐data, a statistical agency is obliged, often legally, to ensure that it is unlikely to result in the disclosure of information about a particular person or organisation. Managing the risk of disclosure is referred to as statistical disclosure control (SDC). This paper describes an approach to SDC for output from analysis using generalised linear models, including estimates of regression parameters and their variances, diagnostic statistics and plots. The Australian Bureau of Statistics has implemented the approach in a remote analysis system, which returns analysis output from remotely submitted queries. A framework for measuring disclosure risk associated with a remote server is proposed. The disclosure risk and utility of approach are measured in two real‐life case studies and in simulation.     

Heuristic learning and the discovery of specialization and exchange

I develop and calibrate an agent-based model of boundedly rational, adaptive agents in a two-good production and exchange economy to replicate human-subject outcomes in the same eight-person experimental economy. To test agents’ ability to capture human behavior, I extend the model and use its output to make predictions about a second experimental environment in which the group of eight agents is slowly constructed by merging smaller groups. This environment improves human-subject performance in the specialization and exchange task, and commensurate improvement emerges for some parameterizations of the agent-based model. This iterative process yields incremental improvement of decision-level theories about economic discovery.     

Are we operating effectively? A lean analysis of operating theatre changeovers

Hospital operating theatres are a critical but costly resource in healthcare processes. Their efficiency and utilisation impact upon hospital finances, clinical effectiveness and patient outcomes. Operations management techniques have now been applied widely to optimise flow. An important challenge is to balance the needs of process flexibility, efficiency and work standardisation with clinical requirements. This paper applies operations management methods to analyse elective orthopaedic surgery at five international hospitals to describe the issues that affect operating theatre productivity. It utilises an innovative method of video analysis to observe patient changeovers over 29 days of surgery and data is analysed to understand the causes of variability and waste. The findings suggest that processes which are standardised via operations management methodologies can improve productivity in a process that exhibits wide variation in practice. There are apparent trade-offs associated with efficiency and clinical concerns such infection control, that lead to different standard process archetypes being utilised. Recommendations for standardising patient changeovers are provided.     

An Evaluation of the Value Relevance of Consolidated versus Unconsolidated Accounting Information: Evidence from Quoted Spanish Firms

In this paper we investigate the value-relevance of consolidated versus parent company accounting information. In particular we investigate the value relevance of the minority interest components of net total assets and earnings as currently reported and under the full entity approach to consolidated reporting. An Edwards-Bell-Ohlson valuation framework is used to generate results. By this means we cast light on the suitability of accounting regulation being developed based upon the entity or parent company theories of consolidation. We carry out the analysis in the Spanish context and the sample contains 474 observations of non-financial firms quoted in the Madrid Stock Exchange for the period 1991–97. The results from this analysis not only have domestic relevance but provide guidance of a more international nature relating to the impact of group definition, concepts of control and the most value relevant method of consolidated disclosure. The results show that, from a valuation perspective, consolidated information dominates non-consolidated, or parent company, information. However, neither the currently reported minority interest components of net total assets and earnings, nor their values under the full equity method of consolidation, are found to be value relevant. These results raise the question of whether group definitions based on the equity theory of consolidation are the most useful to investors.     

Carbon efficiency of US colleges and universities: a nonparametric assessment

Under the American College and University Presidents’ Climate Commitment (ACUPCC), institutes of higher education have pledged to pursue a goal of carbon neutrality. We utilize emissions reported under the ACUPCC agreement and a nonparametric data envelopment analysis approach in order to evaluate the relative performance of signatories to the agreement in terms of producing teaching and research with the least greenhouse gas emissions. We find that while many signatory institutions are now producing their desirable outputs relatively efficiently in terms of carbon emissions, there still exists considerable variation in efficiency and potential for improvement. Results of a second stage efficiency change analysis shows evidence of both movement towards the efficiency frontier since signing, and some movement of the frontier itself, though this evidence comes primarily from teaching-focused institutions.     

Did Hayek have a monetary theory of business cycles?

Joseph Schumpeter, a careful reader of Hayek, categorized Hayek??s theory of economic cycles as non-monetary. Almost every other source, including Hayek himself, categorized the theory as monetary. The issue turns on the concept of causality being used. The question of what causality concept to apply to complex phenomena has substantive implications for economic theory. A simple concept of causality, appropriate to the study of some physical phenomena, will mislead when applied to complex phenomena. We provide examples of errors in analysis that follow from the wrong choice of a causal paradigm.     

Optimal Management of Soil Quality Stocks and Long-Term Consequences of Land Degradation for Smallholder Farmers in Malawi

While soil degradation has long-term consequences, static models which form the bulk of studies on this topic in Africa, do not account for the inter-temporal dimensions of optimal resource management. This paper used an inter-temporal optimisation framework, which considered soil in a time-dependent resource extraction perspective. We have demonstrated that soil degradation is causing an enormous reduction in productive value of smallholder land in Malawi. Current user cost of soil quality among smallholder farmers, which represents annual loss in productive value of land, was estimated to be US$21 per hectare. Based on this value and land area under smallholder agriculture in Malawi, economic costs of soil degradation among smallholder farmers were estimated to amount to 14% of the agricultural GDP for Malawi. Although smallholder farmers’ current practices are sub-optimal to Steady State solutions, they are above static solutions. This demonstrates that smallholder farmers have some private incentives to invest in the soil quality stock. Smallholder farmers internalise some of the dynamic costs of soil degradation under the current practices. However, a sensitivity analysis on a slightly higher discount rate indicates that SS solutions closely resemble the prevailing smallholder farming practices. This suggests that smallholder farmers may be overexploiting soil quality stock because they have a high time preference. That is, they value the current consumption more than their future consumption and wellbeing. High levels of poverty in Malawi and serious lack of viable alternatives to subsistence farming may be influencing such behaviour. Promoting more viable land use alternatives than subsistence farming and formuling policies that help transform smallholder agriculture into a profitable enterprise will not only increase the cost of degrading the soil, but also encourage farmers to invest in the soil quality stock.     

Evaluating a Global Vector Autoregression for Forecasting

Global vector autoregressions (GVARs) have several attractive features: multiple potential channels for the international transmission of macroeconomic and financial shocks, a standardized economically appealing choice of variables for each country or region examined, systematic treatment of long-run properties through cointegration analysis, and flexible dynamic specification through vector error correction modeling. Pesaran et al. (2009) generate and evaluate forecasts from a paradigm GVAR with 26 countries, based on Dées, di Mauro et al. (2007). The current paper empirically assesses the GVAR in Dées, di Mauro et al. (2007) with impulse indicator saturation (IIS)??a new generic procedure for evaluating parameter constancy, which is a central element in model-based forecasting. The empirical results indicate substantial room for an improved, more robust specification of that GVAR. Some tests are suggestive of how to achieve such improvements.