PRODUCTIVITY GROWTH IN AGRICULTURE (REVISITED): A MEASUREMENT FRAMEWORK AND SOME EMPIRICAL RESULTS

This paper explores the methodology of sectoral productivity growth measurement within the framework of input-output analysis. A method which ensures that sectoral productivity growth rates are consistent with productivity growth rates for the economy as a whole (as well as allowing for external trade) is suggested. New estimates are presented on total factor productivity in UK agriculture using a Tornqvist index procedure. In addition, new estimates of agricultural labour productivity growth are presented, taking account not only of labour employed in agriculture but also of labour employed in ancillary industries on the supply side. The empirical results confirm that part of the labour previously employed on farms has shifted “upstream” to industries providing agriculture with fertilises, machinery and other inputs.     

WHAT WILL HAPPEN TO THE EURO?

The Stability Pact ‐ intended to make EMU governments run prudent budgets ‐ is losing its credibility. This article asks the question: what will happen if national debts start to rise again and some governments then have difficulty borrowing? It suggests that there will be calls for bailout, that the EU's political structures will not cope well with the resulting arguments over which countries will pay, and that the eventual and painful result will be a return to the principle that currencies and political areas coincide.     

Corporate Social Performance,Competitive Advantage,Earnings Persistence and Firm Value

In this paper, using a generalised valuation framework inspired by Ohlson, we show that corporate social performance (CSP) is value relevant and that, in particular, it appears to be associated with a higher coefficient on earnings. This could be attributable to either a lower cost of equity for these firms, or greater earnings persistence. We show that, once industry membership is controlled for, any cost of capital effect is minimal. Regression tests based on realised earnings confirm that the valuation effect is attributable mainly to greater earnings persistence in firms with higher levels of CSP. These outcomes are consistent with higher CSP conferring a competitive advantage on firms.     

Competing priorities as constraints in event travel careers

An event travel career is a potentially lifelong pattern of travel to events linked with an individual’s preferred leisure activity. This paper applies the concept of an event travel career to non-elite triathletes. For these active sport tourists, ongoing pursuit of an event travel career is arguably constrained by competing priorities that intervene between everyday life and their pursuit of an event travel career. In-depth interviews were conducted with 21 triathletes identified as pursuing an event travel career. Interpretive analysis revealed seven domains of competing priorities that could work to constrain their event travel career aspirations. These domains included familial relationships, domestic responsibilities, sociability, finances, leisure, wellbeing, and work/education. The seven competing priority domains were interrelated, and cyclical in their constraining effects. Data assisted in clarifying some defining characteristics of the event travel career concept, and challenged notions of leisure participation as entirely positive and fulfilling.     

Creating a Testable, Estimable Model to Inform Our Response to the Test-Score Gap Crisis

The test-score gap between black and white students should be seen as a crisis. We propose a testable model based on readily available data that will allow us to estimate the impact and interrelationships of a multitude of factors that may be partially responsible for the problem. The estimation of this model will require the joint efforts of experts in many areas of education as well as of experts in multilevel structural equation modeling.     

Factors associated with single-vehicle and multi-vehicle road traffic collision injuries in Ireland

Generalised linear regression models were used to identify factors associated with fatal/serious road traffic collision injuries for single- and multi-vehicle collisions. Single-vehicle collisions and multi-vehicle collisions occurring during the hours of darkness or on a wet road surface had reduced likelihood of a fatal/serious injury. Single-vehicle ‘driver with passengers’ collisions occurring at junctions or on a hill/gradient were less likely to result in a fatal/serious injury. Multi-vehicle rear-end/angle collisions had reduced likelihood of a fatal/serious injury. Single-vehicle ‘driver only’ collisions and multi-vehicle collisions occurring on a public/bank holiday or on a hill/gradient were more likely to result in a fatal/serious injury. Single-vehicle collisions involving male drivers had increased likelihood of a fatal/serious injury and single-vehicle ‘driver with passengers’ collisions involving drivers under the age of 25 years also had increased likelihood of a fatal/serious injury. Findings can enlighten decision-makers to circumstances leading to fatal/serious injuries.     

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.     

Risk factors in Australian bond returns

This study examines the risk factors in Australian bond returns. The study quantifies bond liquidity and estimates a liquidity risk factor in the Australian setting. We develop a three‐factor asset pricing framework that uses term, default and liquidity risk factors to explain the variation of Australian bond returns. Our findings corroborate the US evidence on the pervasiveness of these risk factors faced by bond investors. The three‐factor model developed in this study has practical applications when calculating the cost of debt, evaluating the performance of an active bond fund manager and hedging underlying risk in a bond portfolio.