Correction to: Corporate social responsibility and governance

Journal of Management and Governance - The original version of this article contained a mistake. The list of the authors was incorrect. The authors of this article are: Jean-Michel Sahut, Marta...     

Assessing the Structural Robustness of Self-Rated Satisfaction With Life: A SEM Analysis

Structural invariance of self-rated satisfaction with life data was assessed using four data sets collected in earlier studies by using the Satisfaction With Life Scale. Three measurement models were compared to account for structural variability of the data. Strict structural invariance was rejected. Departure from the one-factor model was only found in data gathered using the items in successive order. When the items were scattered among other items, only quantitative variability was found. The findings did not support the view of a generalized one-factor model but suggested measurement artifacts. Qualitative structural variability impacted the scale reliability estimates. Although experimental replication of an ordering effect is warranted, this study suggests that scattering the items can be recommended in order to optimize the structural validity of this concept.     

On the Prediction of the Subpopulation Total Based on Spatially Correlated Longitudinal Data

In a special case of the general linear mixed model, one random component obeys a spatial autoregressive process and another a temporal autoregressive process. The population and any affiliations to subpopulations may change in time. The empirical best linear unbiased predictor is derived and may be used even if the sample size in the subpopulation is null in the period of interest. The mean squared error and its estimator are expressed. The accuracy of the predictor and the bias of the mean squared error estimator are addressed through simulations.     

Influence and sensitivity measures in correspondence analysis

Since correspondence analysis appears to be sensitive to outliers, it is important to be able to evaluate the sensitivity of the data on the results. This article deals with measuring the influence of rows and columns on the results obtained with correspondence analysis. To establish the influence of individuals on the analysis, we use the notion of influence curve and we propose a general criterion based on the mean square error to measure the sensitivity of the correspondence analysis and its robustness. A numerical example is presented to illustrate the notions developed in this article.     

Objective measures of well-being and the cooperative production problem

 The concern for measuring well-being objectively (as opposed to subjectively, that is, relying only on preferences) is found in modern political philosophy, especially in J. Rawls’s, A. Sen’s and G. Cohen’s writings. This paper explains the implications of using an objective well-being index as equalisandum or, close to the so-called “safety net preoccupation”, to guarantee a well-being lower bound. In the simple production model studied here, five characterization results and two related theorems prove the convergence of both approaches. We come to the conclusion that the Proportional Solution is the dominant solution according to “objectivist” axioms. Received: 5 September 1994/Accepted: 29 June 1996     

Anisotropy of Hölder Gaussian random fields: characterization,estimation, and application to image textures

The characterization and estimation of the Hölder regularity of random fields has long been an important topic of Probability theory and Statistics. This notion of regularity has also been widely used in image analysis to measure the roughness of textures. However, such a measure is rarely sufficient to characterize textures as it does not account for their directional properties (e.g., isotropy and anisotropy). In this paper, we present an approach to further characterize directional properties associated with the Hölder regularity of random fields. Using the spectral density, we define a notion of asymptotic topothesy which quantifies directional contributions of field high-frequencies to the Hölder regularity. This notion is related to the topothesy function of the so-called anisotropic fractional Brownian fields, but is defined in a more generic framework of intrinsic random fields. We then propose a method based on multi-oriented quadratic variations to estimate this asymptotic topothesy. Eventually, we evaluate this method on synthetic data and apply it for the characterization of historical photographic papers.     

Does the recording of parallel activities in Time Use Diaries affect the way people report their main activities?

It is widely recognised that studies based ontime diaries form the most valid and reliabledata source concerning peoples' timeallocation, but it is also documented thatvarious designs give somewhat divergentresults. Usually both main activities andpossible parallel activities are captured intime diaries. Much research has been undertakento evaluate various aspects of the design ofsuch surveys, but there has been littlesystematic investigation on the possibleeffects of recording parallel activities on theway people report their main activities. Asmost analyses focus mainly on primaryactivities, validity in this area is of utmostimportance. Utilising the Norwegian Time UseStudy from 1990–1991 we discuss in this paper if,and possibly how, the registration of secondaryactivities influences the picture we get ofpeople's main activities. Also the role of theexamples presented to participants isinspected. Our findings indicate that therecording of parallel activities does affectthe way people report their main activities.Especially indistinct and fuzzy activities likechildcare, socialising and television viewingseem to be sensitive, but effects differ forwomen and men. Undoubtedly, information onsecondary activities is needed in order tofully reflect people's time patterns, but it isimportant that guidelines for diary keeping andexamples presented to participants aredeveloped carefully so that information onprimary activities is not distorted.     

Should the US have locked heaven��s door?

This paper examines the economic impact of the second great immigration wave (1945–2000) on the US economy. Our analysis relies on a computable general equilibrium model combining the major interactions between immigrants and natives (labor market impact, fiscal impact, capital deepening, endogenous education, endogenous inequality). Contrary to recent studies, we show that immigration induced important net gains and small redistributive effects among natives. According to our simulations, the postwar US immigration is beneficial for all natives cohorts and all skill groups. Nevertheless, the gains would have been larger if the US had conducted a more selective immigration policy.