Uncovered interest parity: it works, but not for long

If an investor borrows in a low interest currency and invests in a high interest currency, the interest differential accrues in a lumpy manner, formally just like the dividend payments on a stock. The investor will receive the interest differential discretely at the point when a position is rolled over from one day to the next. A position that is not held open overnight receives no interest differential because intradaily interest rates are zero. Using a large data set of intradaily exchange rate data, we run uncovered interest parity (UIP) regressions over different short time intervals taking careful account of the settlement rules in the spot foreign exchange market. We find results that are supportive of the uncovered interest parity hypothesis over very short windows of data that span the time of the discrete interest payment. However, adding even a few hours to the span of the window destroys the positive uncovered interest parity results.     

Multicrop Production Models with Multinomial Logit Acreage Shares

The main objective of this paper is to show that the MultiNomial Logit (MNL) framework can be used for deriving simple acreage share models. More specifically we show that MNL acreage choice models can be defined as parts of consistent multicrop models. When coupled with suitably designed crop production models, e.g. a specific parameterization of the standard quadratic yield function, the parameters of these multicrop models are easily interpreted and estimated. Although MNL acreage choice models are usually derived by aggregating crop choices defined at the plot level, we show that these models can also be derived by considering a profit maximisation problem at the farm level. This provides a simple theoretical background for the Standard MNL acreage share model, as well as for simple extensions of these models: the Nested MNL acreage share models. An empirical application on French farm-level data over the period 1996–2007 investigates the empirical performances of the multicrop econometric models based on the proposed MNL framework for modelling acreage choices.     

A never-decisive and anonymous criterion for optimal growth models

We address in this paper the question of the existence of a Social Welfare Function that would be sustainable and would allow us to obtain solutions to optimal growth models. We define sustainability by two new axioms called Never-decisiveness of the present and Never-decisiveness of the future. We first show that a SWF which has Never-decisiveness properties cannot be defined on a ball of $l_{\infty }^{+}$ . We must (i) restrict to the set of utility streams for which the value of the SWF is finite and (ii) introduce additional assumptions in order to obtain the Never-decisiveness properties. Our main result in this paper is therefore to show that the undiscounted utilitarian criterion is an anonymous and never-decisive criterion for optimal growth models. We consider the set of utilities of consumptions which are generated by a specific technology, namely a technology with decreasing returns for high levels of capital, and restrict ourselves to good programs, i.e., any program for which intertemporal utility is well defined.     

Feel Good,Do-Good!? On Consistency and Compensation in Moral Self-Regulation

Studies in the behavioral ethics and moral psychology traditions have begun to reveal the important roles of self-related processes that underlie moral behavior. Unfortunately, this research has resulted in two distinct and opposing streams of findings that are usually referred to as moral consistency and moral compensation. Moral consistency research shows that a salient self-concept as a moral person promotes moral behavior. Conversely, moral compensation research reveals that a salient self-concept as an immoral person promotes moral behavior. This study’s aim was to integrate these two literatures. We argued that compensation forms a reactive, “damage control” response in social situations, whereas consistency derives from a more proactive approach to reputation building and maintenance. Two experiments supported this prediction in showing that cognitive depletion (i.e., resulting in a reactive approach) results in moral compensation whereas consistency results when cognitive resources are available (i.e., resulting in a proactive approach). Experiment 2 revealed that these processes originate from reputational (rather than moral) considerations by showing that they emerge only under conditions of accountability. It can thus be concluded that reputational concerns are important for both moral compensation and moral consistency processes, and that which of these two prevails depends on the perspective that people take: a reactive or a proactive approach.     

Understanding 'individualization' in human resource management: the case of 'skill-based pay' in France

'Individualization' in personnel practices has long been considered as an essential component of 'modern' human resources management, but the empirical complexities of its definition, implementation and impact within firms have not been analysed in considerable depth. This paper adds to this analysis by reporting on research into one form of individualization - 'skill-based pay' - adopted in different sectors in France. The crucial institutional context for this adoption is explained and then it is shown how different models of skill-based remuneration have emerged as a result of both sectorial contingencies and specific industrial relations processes.     

Preservation and exogenous uncertain future preferences

Summary. We extend the Beltratti, Chichilnisky and Heal's (1993) and (1998) continuous-time stochastic dynamic framework to analyze the optimal depletion of an asset whose consumption is irreversible, in the face of uncertainty about future preferences. Their model is rather general and so the results are general qualitative theorems. We show that in some interesting cases it is possible to solve their model analytically. The cases involve constant elasticity utility functions and the assumption of a Poisson process for the evolution of preferences. Received: September 13, 1999; revised version: November 23, 1999     

Decision neuroscience and consumer decision making

This article proposes that neuroscience can shape future theory and models in consumer decision making and suggests ways that neuroscience methods can be used in decision-making research. The article argues that neuroscience facilitates better theory development and empirical testing by considering the physiological context and the role of constructs such as hunger, stress, and social influence on consumer choice and preferences. Neuroscience can also provide new explanations for different sources of heterogeneity within and across populations, suggest novel hypotheses with respect to choices and underlying mechanisms that accord with an understanding of biology, and allow for the use of neural data to make better predictions about consumer behavior. The article suggests that despite some challenges associated with incorporating neuroscience into research on consumer decision processes, the use of neuroscience paradigms will produce a deeper understanding of decision making that can lead to the development of more effective decision aids and interventions.     

Proposals for a Minimum Programme for Statistics in Developing Countries

Statistical offices in developing countries are confronted with the challenge of introducing, with limited means, methods and tools ensuring the production of durable statistics satisfying regional, national and international requirements. Taking into account the evolution, over the last years, in the attitude of national authorities, funding partners and statisticians themselves regarding the building up of relevant and durable statistics, the present paper's proposal is to have, in each developing country, a Minimum Programme for Statistics (MPS) and that this programme be centred on four domains: coordination, national accounts, economic and social short term analysis, and dissemination.