Price–Cost Margins and Structural Change: Sub-Contracting within the Salmon Marketing Chain

Some recent studies have benefited from advances in time series econometrics in order to evaluate price transmission mechanisms along the marketing chain. Due to the length of time series, structural changes may affect the evaluation of price–cost margins. In the case of the fresh salmon trade between Norway and France, the gross margin between producers and retailers has changed in level between January 1988 and December 1999. This article accurately identifies the date of a structural change using a range of recent ADF testing procedures (Gregory–Hansen tests, forward and backward recursive tests), before looking for the causes of the change through a survey. Two major factors can be identified: the product form and the marketing channel. Interestingly, both the increasing level of processing and the development of supermarket chains have resulted in a new role for the intermediaries, shifting from mere commercial intermediation to sub‐contracting for the big retailers.     

Optimal growth and cycles in overlapping generations models

Summary This paper investigates the dynamical properties of optimal paths in one-sector overlapping generations models without assuming that the utility function of the representative agent is separable. When the utility function is separable, the optimal growth paths monotonically converges toward the modified golden rule steady state. In the non-separable case, we show that the optimal growth path may be oscillating and optimal two-period cycles may exist. Applying these results to the model with altruism, we show that the condition of operative bequest is fully compatible with endogeneous fluctuations provided that the discount factor is close enough to one. All our results are illustrated using Cobb-Douglas utility and production functions.We thank C. Blackorby, J. Blot, P. Cartigny and one anonymous referee for helpful comments and suggestions which generally improved the exposition of the paper. We would also like to thank the participants of the Population and demography session of the European Economic Association 10th Annual Congress (Prague, The Czech Republic, September 1–4, 1995).     

Central bank interventions and jumps in double long memory models of daily exchange rates

In this paper, we estimate ARFIMA–FIGARCH models for the major exchange rates (against the US dollar) which have been subject to direct central bank interventions in the last decades. We show that the normality assumption is not adequate due to the occurrence of volatility outliers and its rejection is related to these interventions. Consequently, we rely on a normal mixture distribution that allows for endogenously determined jumps in the process governing the exchange rate dynamics. This distribution performs rather well and is found to be important for the estimation of the persistence of volatility shocks. Introducing a time-varying jump probability associated to central bank interventions, we find that the central bank interventions, conducted in either a coordinated or unilateral way, induce a jump in the process and tend to increase exchange rate volatility.     

Measuring financial risks with copulas

This paper is concerned with the statistical modeling of the dependence structure of multivariate financial data using the concept of copulas. We select some special copulas and identify the type of dependency captured by each one. We fit copulas to daily returns and simulate from the fitted models. We compare the effect of the choice of copula on risk measures and assess the variability of one-step-ahead predictions of portfolio losses. We analyze extreme scenarios and fit extreme value copulas to the block maxima and minima from daily returns. The stress scenarios constructed are compared to those obtained using models from the extreme value theory. We illustrate the usefulness of the copula approach using two stock market indexes.     

An Empirical Study of Firm Size and Competitiveness in German Life Insurance

Based on a purely rank-oriented approach, this empirical study analyzes to what extent superior firm size in German life industry generally translates into corporate advantages for the companies concerned. It turns out that while modest advantages with some criteria are measurable, any such benefits are usually outweighed by unquantifiable factors unrelated to firm size. Confining the study to a highly homogeneous subgroup of life insurers, however, reveals substantial corporate advantages in a number of areas, thereby confirming well-established theoretical reasoning.     

DESIGNING A MARKET STRUCTURE WHEN FIRMS COMPETE FOR THE RIGHT TO SERVE THE MARKET*

In many industries, a regulator designs an auction to select ex‐ante the firms that compete ex‐post on the product market. This paper considers the optimal market structure when firms incur sunk costs before entering the market and when the government is not able to regulate firms in the market. We prove that a free entry equilibrium results in an excessive entry when the entry costs are private information. Then, we consider an auction mechanism selecting the firms allowed to serve the market and show that the optimal number of licences results in the socially optimal market structure. When all the potential candidates are actual bidders, the optimal number of firms in the market increases with the number of candidates and decreases with the social cost of public funds. When the market size is small, as the net profit in the market decreases with the number of selected firms, entry is endogenous. As increasing competition in the market reduces competition for the market, the optimal structure is more concentrated than in the previous case.     

Sustainability assurance provider participation in standard setting

This paper examines the participation of accounting firms in the development of sustainability standards by the Securities and Exchange Commission (SEC) and the Sustainability Accounting Standards Board (SASB). This study shows that the Big Four accounting firms have an active role in both the submission of comment letters on sustainability to the SEC and participation in the industry working groups (IWG) for the SASB. The SASB participation reveals that individuals located within the US and at international affiliates are participating at earlier career stages. In addition, this paper leverages LinkedIn data, identifying the career path of the individuals subsequent to their participation with the IWG, to determine how large accounting firms are retaining the skills and knowledge necessary for this field. Since the Big Four firms are market leaders in sustainability assurance, the finding that Big Four firms can retain individuals with financial assurance backgrounds differently than individuals with other backgrounds speaks to the unique skill set that financial assurance develops. This suggests that the career opportunities for interested financial assurance individuals within the sustainability sphere remain robust within the Big Four environment.     

Limit theorems for reflected Ornstein–Uhlenbeck processes

This paper studies one‐dimensional Ornstein–Uhlenbeck (OU) processes, with the distinguishing feature that they are reflected on a single boundary (put at level 0) or two boundaries (put at levels 0 and d > 0). In the literature, they are referred to as reflected OU (ROU) and doubly reflected OU (DROU), respectively. For both cases, we explicitly determine the decay rates of the (transient) probability to reach a given extreme level. The methodology relies on sample‐path large deviations, so that we also identify the associated most likely paths. For DROU, we also consider the ‘idleness process’ L_t and the ‘loss process’ U_t, which are the minimal non‐decreasing processes, which make the OU process remain ≥ 0 and ≤ d, respectively. We derive central limit theorems (CLTs) for U_t and L_t, using techniques from stochastic integration and the martingale CLT.     

Climatic Factors as Determinants of International Migration

We examine natural disasters and long‐run climatic factors as potential determinants of international migration, implementing a panel dataset of bilateral migration flows from 1960 to 2000. We find no direct effect of long‐run climatic factors on international migration across our entire sample. These results are robust when conditioning on origin‐country characteristics, when considering migrants returning home, and when accounting for the potential endogeneity of migrant networks. Rather, we find evidence of indirect effects of environmental factors operating through wages. We find that epidemics and miscellaneous incidents spur international migration, and there is strong evidence that natural disasters beget greater flows of migrants to urban environs.