Context matters

Eliciting the level of risk aversion of experimental subjects is of crucial concern to experimenters. In the literature there are a variety of methods used for such elicitation; the concern of the experiment reported in this paper is to compare them. The methods we investigate are the following: Holt–Laury price lists; pairwise choices, the Becker–DeGroot–Marschak method; allocation questions. Clearly their relative efficiency in measuring risk aversion depends upon the numbers of questions asked; but the method itself may well influence the estimated risk-aversion. While it is impossible to determine a ‘best’ method (as the truth is unknown) we can look at the differences between the different methods. We carried out an experiment in four parts, corresponding to the four different methods, with 96 subjects. In analysing the data our methodology involves fitting preference functionals; we use four, Expected Utility and Rank-Dependent Expected Utility, each combined with either a CRRA or a CARA utility function. Our results show that the inferred level of risk aversion is more sensitive to the elicitation method than to the assumed-true preference functional. Experimenters should worry most about context.     

Extreme value statistics for censored data with heavy tails under competing risks

This paper addresses the problem of estimating, from randomly censored data subject to competing risks, the extreme value index of the (sub)-distribution function associated to one particular cause, in a heavy-tail framework. Asymptotic normality of the proposed estimator is established. This estimator has the form of an Aalen-Johansen integral and is the first estimator proposed in this context. Estimation of extreme quantiles of the cumulative incidence function is then addressed as a consequence. A small simulation study exhibits the performances for finite samples.     

A city of trades: Spanish and Italian immigrants in late-nineteenth-century Buenos Aires,Argentina

The city of Buenos Aires in the 1890s is an extreme case in immigration history since the native workers accounted for less than one-third of the labour force. In this paper, we look at the labour market performance of Argentineans vis-à-vis the largest two immigrant groups, Italians and the Spaniards. We find that, on average, Argentineans enjoyed higher wages, but workers specialised in particular occupations by nationality. Immigrants clustered in occupations with lower salaries. Despite higher literacy levels and the language advantage, Spaniards did not outperform Italians in earnings. Ethnic networks facilitated the integration of immigrants into the host society and played a role in the occupation selection of immigrants. Our results suggest that Italian prosperity in Buenos Aires was not based on superior earnings or skills but on older and powerful networks.     

Accounting comparability and relative performance evaluation in CEO compensation

We investigate whether accounting comparability is associated with the likelihood that CEO compensation is tied to relative accounting performance (e.g., return on assets). We predict that higher accounting comparability increases the risk-sharing benefit of accounting-based RPE because peer firm performance better controls for common risk in RPE firm performance. Thus, firms that have higher accounting comparability with potential performance peers will be more likely to include accounting-based RPE as a component of the total CEO compensation contract. We find support for this prediction using (1) an explicit test design that relies on the ex ante terms of CEO compensation contracts obtained from proxy disclosures, and (2) an implicit design that relies on the actual realizations of CEO compensation. To provide further evidence, we examine the association between accounting comparability and the selection of performance peers when the CEO compensation contract includes an accounting-based RPE component. We find that higher comparability between the RPE firm and a potential peer firm increases (decreases) the potential peer firm’s likelihood of being selected into (dropped from) the peer group. Cross-sectional analyses show that this association is less pronounced, or not present, when the relative performance measure is price-based (as opposed to accounting-based), indicating that these results do not merely reflect a more general role of comparability in all RPE contracts.     

The growth of manufacturing protection in 1920s Britain

Prior to the Import Duties Act of 1932, an assortment of legislation expanded the scope of manufacturing protection in Britain. This article assesses the magnitude of manufacturing protection before the Import Duties Act and finds that, in 1930, 9% of net manufacturing output occurred in a protected industry. In the late 1920s, protected industries exhibited above‐average growth in labour productivity. However, protection was disproportionately extended to newer manufacturing industries, which presented greater potential for productivity growth. This article concludes that protection did not enhance productivity growth in Britain's manufacturing industries in the late 1920s.     

Picking a loser: Strategic surprise in a design and development game

We take a setting in which upstream players produce design ideas and downstream players select among these ideas to develop finished products. Design diversity is valuable at the upstream stage and coordination is valuable at the downstream stage. However, this outcome is not always realized. We show that an intermediary between upstream and downstream can improve on equilibrium outcomes by acting as a coordination and commitment device whose optimal policy must sometimes reward inferior ideas. We apply the model to technology standards, trend‐driven industries, political primaries, and the management of process innovation. We discuss incentives to vertically integrate.     

Environmentally Sustainable Development through Stakeholder Engagement in Developed and Emerging Countries

This cross‐country study investigates the antecedents and outcomes of corporate environmental responsibility (CER) practices in developed and emerging countries. Based on stakeholder and institutional theory, we conducted an empirical study among firms in Germany, USA, India and China. We found support for a significant positive relationship between regulatory, market and social stakeholder influences, CER practices and business outcomes in the total and individual country samples. Regarding country differences, our data reveal significant similarities and differences between developed and emerging countries. Market stakeholder influences are stronger in developed countries, whereas regulatory and social stakeholder influences do not differ significantly between the two country groups. The relationship between CER practices and positive business outcomes is stronger in emerging than in developed countries. Implications for institutional theory and organizations are outlined. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment     

Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods

Good statistical practice dictates that summaries in Monte Carlo studies should always be accompanied by standard errors. Those standard errors are easy to provide for summaries that are sample means over the replications of the Monte Carlo output: for example, bias estimates, power estimates for tests and mean squared error estimates. But often more complex summaries are of interest: medians (often displayed in boxplots), sample variances, ratios of sample variances and non‐normality measures such as skewness and kurtosis. In principle, standard errors for most of these latter summaries may be derived from the Delta Method, but that extra step is often a barrier for standard errors to be provided. Here, we highlight the simplicity of using the jackknife and bootstrap to compute these standard errors, even when the summaries are somewhat complicated. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute