Wage inflation and labour conflicts in the Netherlands : An empirical investigation using the co-integration approach

The ‘wage space’, which is defined as the sum of price inflation and labour productivity growth, has played a major role as an indicator of allowable wage increases in the post-war wage negotiations in the Netherlands. This paper shows that: (a) wages and the wage space are co-integrated; (b) the deviation between wages and the wage space may act as an error correction term in the wage equation when both variables are identified as I(2); and (c) political consensus and the threat of labour conflicts (rather than actual strike activity) may be identified as the ‘mechanism’ behind this error correction in the wage equation.     

Seasonality and Markov switching in an unobserved component time series model

It is generally acknowledged that the growth rate of output, the seasonal pattern, and the business cycle are best estimated simultaneously. To achieve this, we develop an unobserved component time series model for seasonally unadjusted US GDP. Our model incorporates a Markov switching regime to produce periods of expansion and recession, both of which are characterized by different underlying growth rates. Although both growth rates are time-varying, they are assumed to be cointegrated. The analysis is Bayesian, which fully accounts for all sources of uncertainty. Comparison with results from a similar model for seasonally adjusted data indicates that the seasonal adjustment of the data significantly alters several aspects of the full model. First Version Received: January 2001/Final Version Received: February 2002 Send offprint requests to: Rob Luginbuhl?Correspondence to: Rob Luginbuhl     

The living company

What can explain the longevity gap between a company that survives for centuries--the Swedish company Stora, for example, which is more than 700 years old--and the average corporation, which does not last 20 years? A team at Royal Dutch/Shell Group explored that question. Arie de Geus, a retired Shell executive, writes about the team's findings and describes what he calls living companies-organizations that have beaten the high mortality rate of the average corporation. Many companies die young, de Geus argues, because their policies and practices are based too heavily on the thinking and language of economics. Their managers focus on producing goods and services and forget that the organization is a community of human beings that is in business--any business--to stay alive. In contrast, managers of living companies consider themselves to be stewards of a long-standing enterprise. Their priorities reflect their commitment to the organization's long-term survival in an unpredictable world. Like careful gardeners, they encourage growth and renewal without endangering the plant they are tending. They value profits the same way most people value oxygen: as necessary for life but not the purpose of it. They scuttle assets when necessary to make a dramatic change in the business portfolio. And they constantly search for new ideas. These managers also focus on developing people. They create opportunities for employees to learn from one another. Such organizations are suited for survival in a world in which success depends on the ability to learn, to adapt, and to evolve.     

Organizational climate factors and the evaluation of technical ideas

Based on data obtained from 359 idea evaluators, canonical correlation analysis was used to examine the relationship between several organizational factors and a set of criteria used in the evaluation of technical ideas. In contrast to other studies, it was found that organizational factors—assessed in terms of organizational climate—could be explained in terms of two dimensions: organizational clarity and risk. Technical evaluation criteria could be explained in terms of professional self-gratification and organizational responsibility. In light of the multivariate relationship among the two sets of factors, a number of organizational design implications are outlined.     

The implications of research on the R&D manager's role to the selection and training of scientists and engineers for management

A methodology for improving the process of selection and development of scientists and engineers for management is presented. This involves (1) specifying the R&D management role in terms of both behavior and style; (2) utilizing such a specification to estimate ‘probabilities of trainability’ and (3) employing the probabilities as criteria for the allocation of resources among managerial selection efforts versus training and development.     

The Volatility and Price Sensitivities of Managerial Stock Option Portfolios and Corporate Hedging

We use estimates of the Black–Scholes sensitivity of managers' stock option portfolios to stock return volatility and the sensitivity of managers' stock and stock option portfolios to stock price to test the relationship between managers' risk preferences and hedging activities. We find that as the sensitivity of managers' stock and stock option portfolios to stock price increases, firms tend to hedge more. However, as the sensitivity of managers' stock option portfolios to stock return volatility increases, firms tend to hedge less.     

ADRs,Analysts, and Accuracy: Does Cross Listing in the United States Improve a Firm's Information Environment and Increase Market Value?

This paper investigates the relation between cross listing in the United States and the information environment of non‐U.S. firms. We find that firms that cross list on U.S. exchanges have greater analyst coverage and increased forecast accuracy than firms that are not cross listed. A time‐series analysis shows that a change in analyst coverage and forecast accuracy occurs around cross listing. We also document that firms that have more analyst coverage and higher forecast accuracy have higher valuations. Furthermore, the change in firm value around cross listing is correlated with changes in analyst following and forecast accuracy, suggesting that cross listing enhances firm value through its effect on the firm's information environment. Our findings support the hypothesis that cross‐listed firms have better information environments, which are associated with higher market valuations.     

An outcome-based assessment of international transfer pricing policy

Instead of concentrating on the selection of the optimal transfer pricing method, this paper focuses on the consequences of international transfer pricing for multinational entities. A sample of U.S.-based multinational firms is employed to determine if transfer pricing results in measurable financial outcomes. Results of the study indicate that firms employ international transfer pricing to meet a variety of objectives. The dollar value of international transfers and the foreign sales percentage are both significant explanatory variables for the financial outcomes of these objectives.     

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.