Farm-level efficiency and productivity measurement using panel data: wool production in south-west Victoria

In this article we explore some issues surrounding the use of farm-level efficiency and productivity estimates for benchmarking studies. Using an eight-year balanced panel of Victorian wool producers we analyse annual variation between estimates of farm-level technical efficiency derived using Data Envelopment Analysis and Malmquist estimates of Total Factor Productivity. We find that farms change their relative rank in terms of efficiency across years. Also, unlike aggregate studies of Total Factor Productivity, we find at best erratic and modest growth, a worrying result for this industry. However, caution is needed when interpreting these results, and for that matter, benchmarking analysis as currently practised when using frontier estimation techniques like Data Envelopment Analysis.     

Exports,jobs, growth! Congressional hearings on US trade agreements

Who testifies on US trade agreements before Congress and what do they say? We examine the content of Congressional testimony on US trade agreements, and the selection process which determines who testifies in the first place. We find that testimony is systematically tilted toward a sunny view of trade's positive economic effects, while import competition and offshoring are generally downplayed. We argue that trade's supporters strategically frame their motives for supporting trade agreements, and that pro‐trade committee chairs’ decisions on who testifies further skew testimony away from the distributive consequences of globalization within the United States. Congressional hearings on trade agreements therefore represent a key site where the influence of dominant pro‐trade interests is both revealed and reinforced.     

The Impact of Treasury Yields on US Presidential Approval, 1960–2010

ABSTRACT

The ‘power of bond markets’ is a widely assumed and poorly understood feature of the global economy. We demonstrate that even in a bond market as stable as the United States this influence is considerable. In this article, we scrutinise a particularly direct influence, the impact of US Treasury yields on presidential approval rates. Our empirical analysis from 1961 to 2010 demonstrates that rising/falling bond yields lead to a decline/increase in approval rates. We show that this impact is mediated via the US mortgage market. The stronger the rise in mortgage rates, the stronger the influence of Treasury yields on presidential approval. We then outline the broader possible political impacts of this, particularly given foreign and domestic central bank ownership of US Treasuries.     

Job stressors and voluntary work behaviours: mediating effect of emotion and moderating roles of personality and emotional intelligence

Framed within an emotion‐centred model, the current study investigated the mediating role of negative and positive emotion between job stressors and counterproductive work behaviours (CWB) and organisational citizenship behaviours, and the moderating effects of personality and ability‐based emotional intelligence (EI) on the relationships between job stressors and emotions. Results from a sample of 202 Caribbean employees across eight public and private sector organisations showed that both positive and negative emotion mediated the relation between job stressors and citizenship behaviours, whereas only negative emotion was found to mediate the relation between job stressors and CWB. Some support was found for the moderating effects of personality and EI. Implications for research and practice are discussed.     

Demand Estimation in the Presence of Stochastic Trend and Seasonality: The Case of Meat Demand in the United Kingdom

If budget shares have stochastic trend or seasonality or both, then demand equations based on the assumption of deterministic trend and deterministic seasonality will be mis-specified. We test this proposition by estimating a Linearized Almost Ideal (LAI) demand system for meat demand in the United Kingdom using Harvey's structural time series methodology. We demonstrate that the model specification allowing for stochastic trend and deterministic seasonality performs best in terms of diagnostic tests and goodness of fit measures. It is also shown that the model with stochastic trend is better at out-of-sample forecasting.     

Microeconometric analysis of wine grape supply contracts in Australia*

This paper examines wine grape supply contracts used in the main grape growing regions of Australia. An empirical analysis provides insight into specific aspects of contract design and implementation. Statistical analyses of sample data reveal differences between regions in contract specifications. Lower quality grape growing regions place a greater reliance on grape quality assessment to determine bonus/penalty payments compared to higher quality regions. Contracts in higher quality regions place greater emphasis on explicit winery involvement and direction in vineyard management. Results indicate that longer duration contracts are more inclusive in terms of the number of clauses included. Evidence of risk shifting (i.e., winery to grower) for high quality grapes is reported, where the price received by growers is determined by the bottle price of the wine produced.     

Means matter, but variance matter too: Decomposing response latency influences on variance heterogeneity in stated preference experiments

Response time latencies have been shown to influence consumer’s choice behaviour in choice-based-conjoint studies. The literature has shown that response time latencies affect the mean outputs of parameter estimates derived from models of discrete choice. In this paper, we add further insight into the influences response time latencies have on such models by modelling latent response information associated with the variance of random parameter distributions through parameterisation of variance heterogeneity (or heteroskedasticity). We demonstrate that response time latencies influence not only the means of random parameter distributions, but also the variances, and that failure to account for both may result in incorrect model inferences being drawn.     

Dichotomous‐choice contingent valuation with ‘dont know’ responses and misreporting

A new approach is presented that simultaneously deals with Misreporting and Don't Know (DK) responses within a dichotomous‐choice contingent valuation framework. Utilising a modification of the standard Bayesian Probit framework, a Gibbs with Metropolis–Hastings algorithm is used to estimate the posterior densities for the parameters of interest. Several model specifications are applied to two contingent valuation datasets: one on wolf management plans, and one on the US Fee Demonstration Program. We find that DKs are more likely to be from people who would be predicted to have positive utility for the bid. Therefore, a DK is more likely to be a YES than a NO. We also find evidence of misreporting, primarily in favour of the NO option. The inclusion of DK responses has an unpredictable impact on willingness‐to‐pay estimates, since it impacts differently on the results for the two datasets we examine. Copyright © 2009 John Wiley & Sons, Ltd.