Cow-calf profitability and leptin genotyping

Profitability of cow-calf production is determined largely by market prices, calf weaning weights, and cow productive life. While producers individually have no effect on prices, weaning weights and productive life have genetic influences and hence can be altered by selection programs implemented by producers. We investigate the impact of a mutation in the leptin gene (exon 2; single nucleotide polymorphism [SNP] 305) on cow-calf profitability. Prior research shows that this mutation has effects on performance and traits of fed cattle and milk production in dairy cows. Using data from a teaching-research herd, we find that it is also associated with calf weaning weights and cow productive life. A bio-economic stochastic simulation demonstrates that the mutation has statistically positive impacts on profits, suggesting that producers can profitably make use of this information.     

Accounting for Foucault

Michel Foucault's concept of governmentality has been central to critical accounting research for two decades, a centrality that has placed systems of calculation as the starting point of discussions of the state, the firm and the market. We begin by outlining the development of governmentality in Foucault's own work. Despite the rich, productive nature of the concept, Foucault was careful to define governmentality as broadly and loosely as possible, the better to convey its open-endedness. The second section considers the introduction of Foucault to accounting research. The combination of Foucault and accounting history is not at all obvious, but became possible because a series of important contextual studies demonstrated that accounting history had to consider both the historicity of the profession and that its practices were vital in constructing measures of organisational performance, not simply uncovering previously obscure or hidden social realities. Moreover, accounting history studies the production of targets and measures of progress towards utility and welfare, processes that are not reducible to the firm or even to economic calculation. Our third section outlines the genesis of the ‘London School of governmentality’ and the main strands of their theoretical contribution. Finally, we examine the governmentalists’ analysis of corporate restructuring and the introduction of new production organisation by Caterpillar. Our aim is to use the Caterpillar case as the vehicle for a broader consideration of governmentality, strategy and the enterprise.     

SLIPPAGE AND THE CHOICE OF MARKET OR LIMIT ORDERS IN FUTURES TRADING

Retail futures traders face uncertainty regarding the price they will obtain when trading. This price "surprise," known as slippage, can be substantial. Using unique data from an introducing brokerage for Chicago Board of Trade (CBOT) wheat, corn, and soybean futures contracts, we quantify time-to-clear and the magnitude of slippage. We then identify factors that affect these trade quality measures. Finally, we analyze individual trader choice between market and limit orders and find that the likelihood of placing limit orders, where regulations protect traders from slippage, is greater when order and market characteristic indicate that adverse slippage is likely.     

Learning, hubris and corporate serial acquisitions

Recent empirical research has shown that, from deal to deal, serial acquirers' cumulative abnormal returns (CAR) are declining. This has been most often attributed to CEOs hubris. We question this interpretation. Our theoretical analysis shows that (i) a declining CAR from deal to deal is not sufficient to reveal the presence of hubris, (ii) if CEOs are learning, economically motivated and rational, a declining CAR from deal to deal should be observed, (iii) predictions can be derived about the impact of learning and hubris on the time between successive deals and, finally, (iv) predictions about the CAR and about the time between successive deal trends lead to testable empirical hypotheses.     

Handling Missing Data by Re-approaching Non-respondents

When handling missing data, a researcher should be aware of the mechanism underlying the missingness. In the presence of non-randomly missing data, a model of the missing data mechanism should be included in the analyses to prevent the analyses based on the data from becoming biased. Modeling the missing data mechanism, however, is a difficult task. One way in which knowledge about the missing data mechanism may be obtained is by collecting additional data from non-respondents. In this paper the method of re-approaching respondents who did not answer all questions of a questionnaire is described. New answers were obtained from a sample of these non-respondents and the reason(s) for skipping questions was (were) probed for. The additional data resulted in a larger sample and was used to investigate the differences between respondents and non-respondents, whereas probing for the causes of missingness resulted in more knowledge about the nature of the missing data patterns.     

ATKINSON AND BOURGUIGNON'S DOMINANCE CRITERIA: EXTENDED AND APPLIED TO THE MEASUREMENT OF POVERTY IN FRANCE

We demonstrate that the criteria put forward by Atkinson and Bourguignon (1987) can be satisfactorily applied to the analysis of poverty even when the demographic composition of society and the definition of poverty change over time. We show that they provide both sufficient and necessary conditions for any robust conclusions concerning the changes in welfare and poverty. We apply these criteria to a set of data tracking annual income distribution movements in France from 1977 to 1994. The Atkinson and Bourguignon criteria posit that recent changes in poverty are a function of macroeconomic fluctuations in activity.     

Homeownership and Child Welfare

Recent studies have concluded that homeownership is beneficial to children. This result is important because it is used to justify large government subsidies that encourage homeownership. We reexamine the results of two of the most prominent of these studies using the Panel Study of Income Dynamics, Public Use Microsample, and National Longitudinal Survey of Youth data. We extend this research by controlling for residential mobility, wealth, dwelling type and vehicle ownership, as well as by using a "differences in differences" methodology to deal with possible treatment effects bias. We find that the beneficial effects of homeownership previously measured are substantially reduced or eliminated by controlling for these factors. We confirm these results using data from the Early Childhood Longitudinal Study.