Announced layoffs: Their effect on corporate financial performance

Conventional wisdom holds that when a firm gets into trouble due to lagging sales and rising costs, cutting the size of the organization to reduce fat and waste is a normal and effective response. In this study, evidence was found to suggest that just the opposite might be true. The financial performance of Fortune 100 companies was tracked over a five-year period—two years prior to the announced layoff, the year of the layoff announcement, and two years following it. Contrary to expectations, the results indicate that financial performance worsened, rather than improved, following announced layoffs. Strategic and human resource implications for the management of corporate downsizing are provided.     

A generalized lot sizing model for the process cycling problem

Most scheduling/lot sizing models for the single-machine problem assume that aggregate demand equals aggregate production; and that backorders are to be avoided. Where working inventories are low, the scheduler may wish to avoid short production runs and willingly incur some backorder penalties so as to increase the length of production runs and reduce setup costs per unit of time. The model proposed here identifies optimal lot sizes with respect to the backorder/setup cost relationships. Use of the model will result in an optimally balanced inventory even when aggregate inventory levels are changing.     

Trade unions and HRM

Here the author reviews the stated positions and responses of unions towards employer initiated human resource management developments. The information reviewed is drawn from Canada, Britain and the USA, with some differences being apparent between countries.     

Three Corrected Score Tests for Generalized Linear Models with Dispersion Covariates

We develop three corrected score tests for generalized linear models with dispersion covariates, thus generalizing the results of Cordeiro , Ferrari and Paula (1993) and Cribari-Neto and Ferrari (1995) . We present, in matrix notation, general formulae for the coefficients which define the corrected statistics. The formulae only require simple operations on matrices and can be used to obtain analytically closed-form corrections for score test statistics in a variety of special generalized linear models with dispersion covariates. They also have advantages for numerical purposes since our formulae are readily computable using a language supporting numerical linear algebra. Two examples, namely, iid sampling without covariates on the mean or dispersion parameter oand one-way classification models, are given. We also present some simulations where the three corrected tests perform better than the usual score test, the likelihood ratio test and its Bartlett corrected version. Finally, we present a numerical example for a data set discussed by Simonoff and Tsai (1994) .     

Technology-forcing through environmental regulation

This paper analyzes the demand characteristics of innovation in pollution abatement and the interaction between a regulator and a polluter under a technology-forcing policy. Important demand-driven determinants of innovation in pollution control are examined, such as uncertainties surrounding unexplored technologies, the length of the compliance period and the maximum abatement costs the regulator is willing to accept. We derive the formal condition that the regulator balances the marginal utility of emissions reduction against the marginal disutilities of a longer compliance time and the increased uncertainty about the feasibility of a more stringent standard.     

Can oil shocks explain asymmetries in the US Business Cycle?

We consider whether oil prices can account for business cycle asymmetries. We test for asymmetries based on the Markov switching autoregressive model popularized by Hamilton (1989), using the tests devised by Clements and Krolzig (2000). We find evidence against the conventional wisdom that recessions are more violent than expansions: while some part of the downturn in economic activity that characterises recessionary periods can be attributed to dramatic changes in the price of oil, post-War US economic growth is characterized by the steepness of expansions. First Version Received: December 2000/Final Version Received: September 2001     

Conditional mean functions of non-linear models of US output

We compare a number of models of post War US output growth in terms of the degree and pattern of non-linearity they impart to the conditional mean, where we condition on either the previous period's growth rate, or the previous two periods' growth rates. The conditional means are estimated non-parametrically using a nearest-neighbour technique on data simulated from the models. In this way, we condense the complex, dynamic, responses that may be present in to graphical displays of the implied conditional mean. First version received: Feb. 1999/Final version received: June 2001