The global LeChatelier Principle and multimarket equilibria

LeChatelier (Comptes Rendus 99:786, 1884) and LeChatelier (Ann Mines 13(2):157, 1888) proposed that the adjustment of a physical system to a disturbance in its equilibrium was smaller as constraints are added to the adjustment process. Samuelson (Econometrica 28:368–379, 1960) showed that this Principle applied to a stable multimarket equilibrium for the case that all commodities are gross substitutes. We note that the Principle also applies to the stable equilibria of markets for which commodities can also be gross complements as formulated by Morishima (Osaka Econ Pap 1:101–113, 1952). Further, the Morishima and gross substitute cases are the only cases to which the Principle can apply, based only upon the stability hypothesis and a specification of the gross substitute/complement relations among commodities. We show that the Milgrom and Shannon (Econometrica 62:157–180, 1994) single crossing conditions specified for monotone comparative statics can be configured appropriate to the Morishima case to give global conditions for the LeChatelier Principle to apply to a multimarket equilibrium.     

Courage, leadership, and end-of-life care: when courage counts

As leaders, we must feel a sense of moral obligation to implement evidence about end-of-life care in our practice setting. Nurse leaders can help patients and families orchestrate a beautiful experience that is an alternative to futile, expensive end-of-life care. Preparation is key in helping staff provide the best level of care. A plan built around the best care for patients can integrate with many diverse positions and people. Courageous nurse leaders are well adapted to maneuvering through political traps and advocating for patients and their families. Everyone benefits personally and financially, including our communities and nation, when courageous leaders advocate successfully for effective end-of-life care.     

Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables

I propose a quasi-maximum likelihood framework for estimating nonlinear models with continuous or discrete endogenous explanatory variables. Joint and two-step estimation procedures are considered. The joint procedure is a quasi-limited information maximum likelihood procedure, as one or both of the log likelihoods may be misspecified. The two-step control function approach is computationally simple and leads to straightforward tests of endogeneity. In the case of discrete endogenous explanatory variables, I argue that the control function approach can be applied with generalized residuals to obtain average partial effects. I show how the results apply to nonlinear models for fractional and nonnegative responses.     

Sustainable Development and Resilience in Ecosystems

Two new important developments in environmental and resource economics is presented—non convex dynamics of ecosystems and wealth as an indicator of sustainable development. Non convex dynamics imply existence of resilience, that is the robustness of systems to withstand exogenous perturbations. Resilience can be regarded as an insurance against flips of the system into different basins of stability. Sustainable development, according to the Bruntland report, is the provision of productive resources to future generations to make it possible for them to live as well as the present generation. Thus, the value of changes in productive assets is therefore an index of whether an economy is on a sustainable path or not. Resilience can be regarded as one such productive asset and the paper discusses how one can define the value of this asset.     

On Perceptions of Fairness: The Role of Valuations, Outside Options, and Information in Ultimatum Bargaining Games

This study examines fairness perceptions in ultimatum bargaining games with asymmetric payoffs, outside options, and different information states. Fairness perceptions were dependent on treatment conditions. Specifically, when proposers had higher chip values, dollar offers were lower than when responders had higher chip values. When responders had an outside option, offers were higher and were rejected less often than when proposers had an outside option. However, a given offer was rejected more often when responders had an outside option. Therefore, similar to the first mover advantage, the “advantaged” or “entitled” player received a higher monetary payoff than they would otherwise. When there was complete information about payoff amounts (payoff conversion rates and outside options), rejections occurred more often, and given offer amounts were rejected more often than when there was incomplete information. When there was incomplete information, offers were higher in the initial rounds than in the final rounds. These results suggest that proposers made offers strategically, making offers that would not be rejected, rather than out of a concern for fairness.     

Causality effects in return volatility measures with random times

We provide a structural approach to identify instantaneous causality effects between durations and stock price volatility. So far, in the literature, instantaneous causality effects have either been excluded or cannot be identified separately from Granger type causality effects. By giving explicit moment conditions for observed returns over (random) duration intervals, we are able to identify an instantaneous causality effect. The documented causality effect has significant impact on inference for tick-by-tick data. We find that instantaneous volatility forecasts for, e.g., IBM stock returns must be decreased by as much as 40% when not having seen the next quote change before its (conditionally) median time. Also, instantaneous volatilities are found to be much higher than indicated by standard volatility assessment procedures using tick-by-tick data. For IBM, a naive assessment of spot volatility based on observed returns between quote changes would only account for 60% of the actual volatility. For less liquidly traded stocks at NYSE this effect is even stronger.     

The Effects of Additive Outliers and Measurement Errors when Testing for Structural Breaks in Variance*

This article discusses the asymptotic and finite‐sample properties of the CUSUM tests for detecting structural breaks in volatility when the data are perturbed with (additive) outliers and/or measurement errors. The special focus is on the parametric and non‐parametric tests in Inclán and Tiao (1994) and Kokoszka and Leipus (2000) . Whereas the asymptotic distribution of the former can be largely affected, the distribution of the latter remains invariant and renders consistent break‐point estimates. In small samples, however, large additive outliers are able to generate sizeable distortions in both tests, which explains some of the contradictory findings in previous literature.     

Asymptotic comparison at optimal levels of reduced‐bias extreme value index estimators

In this article we are interested in the asymptotic comparison, at optimal levels, of a set of semi‐parametric reduced‐bias extreme value (EV) index estimators, valid for a wide class of heavy‐tailed models, underlying the available data. Again, as in the classical case, there is not any estimator that can always dominate the alternatives, but interesting clear‐cut patterns are found. Consequently, and in practice, a suitable choice of a set of EV index estimators will jointly enable us to better estimate the EV index γ, the primary parameter of extreme events.     

Becoming an evidence‐based HR practitioner

Evidence‐based HR (EBHR) is a decision‐making process combining critical thinking with use of the best available scientific evidence and business information. We describe how to get started as an evidence‐based HR practitioner. Actively managing professional decisions is a key aspect of EBHR. Doing so involves making decisions, especially consequential or recurring ones, using practices supported by high‐quality research. We present a step‐by‐step set of approaches to becoming an evidence‐based HR practitioner: from getting started, through everyday practices and continuous learning to integrating EBHR into your organisation. In offering guidance for evidence‐based practice, this article underscores the connection between effective practice and organisational research.