Dynamic strategic groups: deriving spatial evolutionary paths

Recent theoretical developments in the domain of strategic groups, specifically those related to cognitive groups and strategic group identity, seem to suggest that strategic group membership is likely to be relatively stable over time and that firms in a strategic group co‐evolve. Yet appropriate data analytic approaches that use information about firms over time to identify stable strategic groups and their evolutionary paths have been lacking. To overcome such limitations, this research proposes a new clusterwise bilinear multidimensional scaling model that can simultaneously identify (1) the number of strategic groups, (2) the dimensions on which the strategic groups are based, and (3) the evolution of the strategy of these groups over time. Our discussion encompasses various alternative model specifications, together with model selection heuristics based on statistical information criteria. An illustration of the proposed methodology using data pertaining to strategic variables for a sample of public banks in the tristate area of New York, Ohio, and Pennsylvania across three time periods (1995, 1999, and 2003) identifies two underlying dimensions with five strategic groups that display very different evolutionary paths over time. Post hoc analysis shows pronounced differences in firm performance across the five derived strategic groups. This article concludes with a discussion of the implications of the findings, as well as potential future research directions. John Wiley & Sons, Ltd. Copyright © 2009 John Wiley & Sons, Ltd.     

Modeling strategic group dynamics: A hidden Markov approach

With competition playing a critical role in market-based strategic planning and implementation, identifying and understanding competiton and competitive dynamics has become critical. In this vein, the strategic groups perspective has emerged as a powerful means to understand such competitive phenomena. Empirical approaches to model competitive dynamics within the strategic groups framework, however, have been piece meal as researchers typically resort to distinct sequential analysis by time period. To overcome the limitations of these simplistic approaches, we develop a hidden Markov model to study strategic group (competitive) dynamics. In this approach, we explicitly account for competitive dynamics over time by modeling strategic group memberships as latent states that follow a first-order Markov process. Thus, we explictly model the notion that firms adopt their strategy for the next time period based on their current strategy and respective outcomes. We illustrate the model with longitudinal data from COMPUSTAT on 63 public banks from the tri-state region of NY-OH-PA. The results show the proposed model to be superior to a number of viable alternative approaches that have been suggested in the literature. We find the existence of three strategic groups: the leveraged group has low current assets compared to current liabilities, high debt to equity, and high total borrowing to assets. The lending group consists of the largest banks that focus on lending with high ratios of gross loans to securities and gross loans to deposits. The balanced group has the largest number of banks where the values of the financial and product ratios are intermediate compared to the leveraged and lending groups. The asymmetries in the switching probabilites are also evident as there seems to be a higher probability of switching into the balanced group than switching out of this group. The switching probabilites are symmetric between the the leveraged and lending groups.     

Employer payroll taxes and money wage behaviour

In the past ten years tax incidence theory has made a number of strides. Terminology has become standardized, assumptions have been made explicit, and a two sector, two factor, I static general equilibrium model to study incidence questions has been developed and elaborated. Rather than review these developments in any detail, it is sufficient here to note a sampling of these writings, namely the works of MUSGRAVE (1959, Ch. 10), HARBERGER (1962), MIESZKOWSKI (1967), MCLURE (1971) and MEISZKOWSKI'S (1969) summary of this litera-ture. ^{1 1} The models under consideration are essentially short run in nature. For present purposes the works of KRZYZANIAK (1968, 1970) on long run incidence are not being considered. View all notes

A central theme in this literature has been to emphasize the importance of relative price changes in the determination of tax incidence. At the same time it plays down the importance of the direction of shifting (forward or backward) which had been a prominent feature of earlier partial equilibrium incidence analysis. One purpose of the present paper is to argue that in actual empirical situations it is necessary to consider the behaviour of absolute prices in determining the incidence of a specific tax, the employer payroll tax.

There are four parts to the paper. Part I reviews the general equilibrium model and its conclusions on payroll tax incidence. The implications of forward shifting, backward shifting and payment of payroll taxes by employers are discussed in Part II. Results of a test for back-ward shifting of the tax in US manufacturing are reported in Part III. Part IV contains conclusions.

Two conclusions emerge from the analysis. (I) In the general equilibrium models under consideration the employer payroll tax is borne by labour. However, care must be taken in applying this conclusion to a real world situation where transfer payments are a component of family income. (2) Empirical tests in US manufacturing do not support the idea that the I employer tax is shifted totally backward onto money wages.     

Uncertainty and stress in an R&D project environment

Abstract
R&D project managers work in an environment in which the uncertainty and complexity of engineering development problems are an important source of episodic job stress. A study of the US. Navy's top major project R&D managers (N = 118) was conducted to test the use of various coping skills and social support as preventive stress management techniques for this population. It was found that perceived environmental uncertainty (PEU) had a direct, positive effect on psychological distress of these project managers while social support had a therapeutic effect on their experience of burnout. While problem focussed coping had a small, positive effect on burnout, neither coping skills nor social support were found to have a primary prevention effect upon perceived environmental uncertainty (PEU).
Engineering managers engaged in high technology R&D are confronted by a wide range of uncertainties, risks and changing demands that give rise to the stress response with its attendant physiological and psychological changes (Asterita, 1985). Adams (1980) has argued that an episodic versus chronic dichotomy of stressors is valuable because it distinguishes between intermittent stressors of finite duration (episodic) and ongoing stressors of indeterminant duration (chronic). This article reports the results of a study of uncertainty as an episodic work stressor for the U.S. Navy's high technology R&D project managers. The results suggest that R&D project managers should develop social support systems and structures to maintain well-being and avert distress and strain.     

THE ECONOMICS OF COMMUTING AND THE URBAN LABOUR MARKET

ABSTRACT. The spatial distribution of households and firms, or urban spatial structure, is a core element of the study of urban economics and the crucial determinant of commuting patterns. This paper examines developments in the analysis of urban spatial structure and commuting are related to the urban labour market—that is the analysis of labour supply and labour demand in a spatial context. These developments have been overlooked in the traditional approach to urban structure and commuting where most attention has been devoted to the markets for land and housing rather than the market for labour. Yet a little reflection suggests that the labour market might have a great deal to do with the location decisions of households and firms, and hence with commuting patterns. We argue that much criticism of the economic analysis of urban structure and commuting can be addressed by explicit incorporation of the labour market into the conventional model of urban location. This criticism includes findings that the theory cannot explain the tendency for richer households to live farther from the central business district and commute farther to work (Wheaton, 1977) and findings of substantial unexplained or 'wasteful' commuting according to conventional theory (Hamilton, 1982). The paper begins by outlining the basic model of residential location and commuting (Section 2). We then consider extensions that involve the introduction of labour supply decisions and which determine the value of commuting time (Section 3). More recent extensions involve the introduction of decentralized workplaces (Section 4) and, logically, the issues of job search and migration (Section 5). We conclude with a summary of the progress in incorporating labour market behaviour into the analysis of urban structure and commuting and our suggestions for further research in this area.     

Why Do Banks Fail? Evidence from the 1920s

This paper examines the causes of rural bank failures during the 1920s using a newly created state-level data series. By focusing on rural banks we are able to investigate the impacts of agricultural distress and government policies on the class of banks accounting for 80% of the failures in the decade. Failure rates were highest where farm acreage and land values had increased the most before 1920 because these regions suffered the worst agricultural distress subsequently. Agricultural distress caused more bank failures in states with deposit insurance systems, suggesting that insurance encouraged banks to increase risk as their net worth declined.