Analysis of deviance and of social classes — the impact of methodological research

In an analysis of deviance and social classes, an original methodology is used as a means of progress in the theoretical domain, which seeks a resolution of the now traditional consensus vs. conflict debate by introducing two hitherto ignored aspects: (1) this debate cannot be clarified by reference to norms or values that are abstractly described, but only in relation to the legitimacy of the intervention of a particular social institution as the result of a particular problematic behavior; and (2) the comprehension of these phenomena and their social interpretation necessitates an understanding of their meaning and of the ideological configurations that are the framework in which these judgements of institutional legitimacy are made. Indeed, this second aspect constitutes the working hypothesis of the analysis, using multiple-choice questionnaire data (N=804) concerning the social representation of deviance which are analyzed by an original method of hierarchically ascending classification analysis, called cross-classification. This method, which crosses an automatic classification analysis of the individuals with a similar analysis of the variables, produces significant nodes within the data that determine and describe the five archetypes of social representation of deviance. These significant nodes or archetypes are then analyzed further with the application of a factorial correspondence analysis.     

On finite-time ruin probabilities for classical risk models

Abstract

Generally, the return of premiums without interest or with simple interest is provided for. It might, however, be worth while to notice that less complicated formulre are needed for the return of premiums with compound interest.     

The first-order approach when the cost of effort is money

We provide sufficient conditions for the first-order approach in the principal-agent problem when the agent’s utility has the nonseparable form u(y−c(a))$u(y-c\left(a\right))$ where y$y$ is the contractual payoff and c(a)$c\left(a\right)$ is the money cost of effort. We first consider a decision-maker facing prospects which cost c(a)$c\left(a\right)$ and with distributions of returns y$y$ that depend on a$a$. The decision problem is shown to be concave if the primitive of the cdf of returns is jointly convex in a$a$ and y$y$, a condition we call Concavity of the Cumulative Quantile (CCQ) and which is satisfied by many common distributions. Next we apply CCQ to the distribution of outcomes (or their likelihood-ratio transforms) in the principal-agent problem and derive restrictions on the utility function that validate the first-order approach. We also discuss another condition, log-convexity of the distribution, and show that it allows binding limited liability constraints, which CCQ does not.     

Scientist and public responses to BSE‐related risk: A comparative study

Social studies of risk repeatedly have found substantial divergences in the way that experts/scientists and members of the general public appraise risks associated with health and environmental hazards. However, empirical evidence for these differences remains controversial. A recent review of literature suggests in particular that divergences between experts and lay people may potentially result from confounding socio‐demographic factors. The purpose of the present article is to investigate and to compare how medical scientists and members of the general population reacted to BSE (“mad cow disease”) in France. A sample of 401 scientists belonging to the French Institute of Health and Medical Research (INSERM) and a representative sample of 902 French citizens were asked about their cognitive, affective and behavioural responses to BSE. Results show that non‐scientists tended to express much more concern about BSE‐related risk than scientists, even when socio‐demographic variables were controlled. However, (1) no significant differences were found between these two groups concerning subjective epidemiological predictions, and (2) scientists manifested greater avoidance of beef or beef by‐products avoidance following the BSE epidemic than lay respondents did. The implications of these paradoxical results are discussed.     

Causality Between Corporate Social Performance and Financial Performance: Evidence from Canadian Firms

This study assesses the causal relationship between corporate social performance (CSP) and financial performance (FP). We perform our empirical analyses on a sample of 179 publicly held Canadian firms and use the measures of CSP provided by Canadian Social Investment Database for the years 2004 and 2005. Using the “Granger causality” approach, we find no significant relationship between a composite measure of a firm’s CSP and FP, except for market returns. However, using individual measures of CSP, we find a robust significant negative impact of the environmental dimension of CSP and three measures of FP, namely return on assets, return on equity, and market returns. This latter finding is consistent, at least in the short run, with the trade-off hypothesis and, in part, with the negative synergy hypothesis which states that socially responsible firms experience lower profits and reduced shareholder wealth, which in turn limits the socially responsible investments.     

Erratum to: Ethics,Diversity Management,and Financial Reporting Quality

This article proposes and empirically tests a theoretical framework incorporating Reidenbach and Robin’s (J Bus Ethics 10(4):273–284, 1991) conceptual model of corporate moral development. The framework is used to examine the relation between governance and business ethics, as proxied by diversity management (DM), and financial reporting quality, as proxied by the magnitude of earnings management (EM). The level of DM and governance quality are measured in accordance with the ratings of Jantzi Research (JR), a leading provider of social and governance research for institutional investors. This DM score is part of an index developed by JR that investment managers use to integrate DM criteria into their investment decisions. As expected, a negative relation between corporate DM development and financial reporting quality is found while controlling for other factors known in the literatures on governance and accounting choices to affect earnings quality. Despite some caveats presented in conclusion, this study contributes to the ethics, governance, and financial reporting literatures by studying the dynamics between governance and ethics in the prevention of EM.     

Cheating,emotions, and rationality: an experiment on tax evasion

The economics-of-crime approach usually ignores the emotional cost and benefit of cheating. In this paper, we investigate the relationships between emotions, deception, and rational decision-making by means of an experiment on tax evasion. Emotions are measured by skin conductance responses and self-reports. We show that the intensity of anticipated and anticipatory emotions before reporting income positively correlates with both the decision to cheat and the proportion of evaded income. The experienced emotional arousal after an audit increases with the monetary sanctions and the arousal is even stronger when the evader’s picture is publicly displayed. We also find that the risk of a public exposure of deception deters evasion whereas the amount of fines encourages evasion. These results suggest that an audit policy that strengthens the emotional dimension of cheating favors compliance.     

Full pooling in multi-period contracting with adverse selection and noncommitment

This paper analyses multi-period regulation or procurement policies under asymmetric information between the regulator and regulated firms. As well known in the literature, some degree of separation is always optimal under any form of commitment. In contrast, we show that full pooling is optimal under noncommitment when the discount factor is sufficiently high. We also discuss the meaning of full pooling under double randomization. Finally, we provide a graphical analysis of the second-best policy in terms of the regulator's commitment capacity. Received: 4 December 1996 / 7 October 1999     

Nonparametric analysis of financial time series by the Kernel methodology

This paper aims to study, in the most recent historical time period, the efficiency of the Paris Stock Exchange market. We test its weak form while analysing the stock exchange returns series by nonparametric methods, using kernel methodology in particular. In doing so, our approach extends the traditional view treating the observed cyclical fluctuations on this market.     

Demographic volatility and economic growth: convention and beyond

Following the success of endogenous growth theory, recent empirical examinations of the demography–economic growth construct established that components of demographic change can provide meaningful and clear insights into the direction and impact of demographic variation in economic growth. While theoretical justification and empirical support to the claim cannot be denied, confusions seem to have arisen whether an empirical growth construct will only be limited to demographic dynamics or the model can entertain other non-demographic variables. In a leading research, Kelley and Schmidt (1995, 2001) provided seemingly ambiguous evidence that addition of non-demographic variables can add explanatory power to the growth regression. While subsequent empirical growth models have largely followed the convention as in KS, some important considerations like the stochastic effects of demographic system on economic growth seem to be missing. This paper attempts to address the concerns by suggesting a long-memory demographic system and embedding stochastic demographic characteristics in a standard Solow–Swan model, which also forms the basis of convergence pattern. We empirically show that significant stochastic shocks exist in the demographic components which could have contributed to the growth volatility across nations. We suggest that empirical growth models should account for stochastic demographic characteristics to enable economic policy makers with correct information about the current and future state of evolution of the demography–economic system.