Political scrutiny and earnings management in the oil refining industry

The fortunes of the oil refining industry have historically been tied to the political process. In periods of high gasoline prices public outcry increases pressure on the political process to increase regulation, taxation, and other costs on the industry. This study explores the relationship of gasoline prices and oil firm earning with accounting earnings management of oil firms. Findings indicate that firms make accounting changes and discretionary accruals to decrease (increase) earnings in periods when gasoline prices and oil firm earnings are rising (falling).     

MNE competitiveness: A scenario-driven technology transfer construct

To compete effectively, multi-national enterprises (MNEs) must establish market presence in their global rivals' home courts and/or profit sanctuaries. Technology transfer is often used as a means toward that end. The technology adoption decisions of an aggressor MNE and a defender MNE are investigated in a model that features indirect moves and changes in strategy through technology transfer. Each firm may adopt a strategy that incorporates the transfer of high technology or appropriate technology. The strategic decision situation is modelled as a closed-loop sequential equilibrium in discrete time. In contrast to results in the technology adoption literature, the aggressor MNE may successfully transfer technology first, to be imitated later by the defender MNE. This and several other scenarios emerge from the model which, by incorporating the cost of social adjustment and risks involved in technology transfer, ties technology to the competitive interaction of MNEs and specifies conditions for creating competitive advantage through technology, both locally and worldwide.     

Cointegration Vector Estimation by Panel DOLS and Long‐run Money Demand*

We study the panel dynamic ordinary least square (DOLS) estimator of a homogeneous cointegration vector for a balanced panel of N individuals observed over T time periods. Allowable heterogeneity across individuals include individual‐specific time trends, individual‐specific fixed effects and time‐specific effects. The estimator is fully parametric, computationally convenient, and more precise than the single equation estimator. For fixed N as T→∞, the estimator converges to a function of Brownian motions and the Wald statistic for testing a set of s linear constraints has a limiting χ²(s) distribution. The estimator also has a Gaussian sequential limit distribution that is obtained first by letting T→∞ and then letting N→∞. In a series of Monte‐Carlo experiments, we find that the asymptotic distribution theory provides a reasonably close approximation to the exact finite sample distribution. We use panel DOLS to estimate coefficients of the long‐run money demand function from a panel of 19 countries with annual observations that span from 1957 to 1996. The estimated income elasticity is 1.08 (asymptotic s.e. = 0.26) and the estimated interest rate semi‐elasticity is ?0.02 (asymptotic s.e. = 0.01).     

Forecasting residential burglary

Following the work of Dhiri et al. [Modelling and predicting property crime trends. Home Office Research Study 198 (1999). London: HMSO] at the Home Office predicting recorded burglary and theft for England and Wales to the year 2001, econometric and time series models were constructed for predicting recorded residential burglary to the same date. A comparison between the Home Office econometric predictions and the less alarming econometric predictions made in this paper identified the differences as stemming from the particular set of variables used in the models. However, the Home Office and one of our econometric models adopted an error correction form which appeared to be the main reason why these models predicted increases in burglary. To identify the role of error correction in these models, time series models were built for the purpose of comparison, all of which predicted substantially lower numbers of residential burglaries. The years 1998–2001 appeared to offer an opportunity to test the utility of error correction models in the analysis of criminal behaviour. Subsequent to the forecasting exercise carried out in 1999, recorded outcomes have materialised, which point to the superiority of time series models compared to error correction models for the short-run forecasting of property crime. This result calls into question the concept of a long-run equilibrium relationship for crime.     

Initial Public Offerings: CFO Perceptions

We examine four issues pertaining to initial public offerings (IPOs) using a survey of 438 chief financial officers (CFOs). First, why do firms go public? Second, is CFO sentiment stationary across bear and bull markets? Third, what concerns CFOs about going public? Fourth, do CFO perceptions correlate with returns? Results support funding for growth and liquidity as the primary reasons for IPOs. CFO sentiment is generally stationary in pre‐ and post‐bubble years. Managers are concerned with the direct costs of going public, such as underwriting fees, as well as indirect costs. We find a negative relation between a focus on immediate growth and long‐term abnormal returns.     

Adjustment costs and time-to-build in factor demand in the U.S. manufacturing industry

In order to explain cyclical behavior of factor demand, the static neoclassical model of the firm has been extended to include either adjustment costs (e.g. Lucas (1967)) or time-to-build considerations as in Kydland and Prescott (1982). This paper presents an intertemporal factor demand model which accounts for adjustment costs and gestation lags. The closed form solution of the model is a highly restricted vector ARMA-process that is estimated using quarterly data for the manufacturing industry in the U.S., 1960–1988. The main conclusion is that both sources of dynamics of factor demand are identifiable and found to be empirically of importance.     

Stories from the Front‐line: How they Construct the Organization*

abstract Drawing on social constructionist theory this paper applies discourse analysis to ten narratives told by service delivery staff in one distribution network. The analysis looks at how the narratives construct the organization through their constructions of self (the narrator), customer and manufacturer and their constructions of the relationships linking these three sets of actors. The paper argues that the narrators construct the self either as an organizational customer or an organizational partner. The two constructions locate conflict either within the organization or at the customer–organizational boundary respectively. The implications of this are suggested. Contrasts between the manner in which organizational members construct the self as customer or partner and the construction of the organizational member in the internal customer literature are highlighted and briefly discussed.     

Are differences in firm size transitory or permanent?

An Erratum for this article has been published in Journal of Applied Econometrics 18(2) 2003, 249 Previous empirical work on corporate growth rates using cross‐section or short‐panel econometric techniques suggests that growth rates are random but that some degree of mean reversion exists. This means that size differences between firms are transitory. Another, more natural way to explore the long‐run distribution of firm sizes is to examine data on the growth of particular firms over long periods of time. Using a sample of 147 UK firms observed continually for more than 30 years, our conclusions are that growth rates are highly variable over time and that differences in growth rates between firms do not persist for very long. Further, firms show no tendency to converge to either a common size or to a pattern of stable size differences over time. These results are compared and contrasted with standard approaches that suggest that firms reach and maintain stable positions in a skewed size distribution. Copyright © 2002 John Wiley & Sons, Ltd.