Understanding consumption patterns

The analysis of consumer demand is one of the major successes of economics as it represents the near perfect marriage of theory and econometrics. This paper reviews, distills and systematises some of the major empirical findings on consumption patterns, concentrating in particular on the more recent (and, in some cases, more controversial) evidence. One of the key conclusions of the paper is that on the basis on new methods, the hypotheses of homogeneity, symmetry and preference independence are not at such wide variance with the data as was once thought to be the case.     

MULTI-STEP ESTIMATION FOR FORECASTING

We delineate conditions which favour multi-step, or dynamic, estimation for multi-step forecasting. An analytical example shows how dynamic estimation (DE) may accommodate incorrectly-specified models as the forecast lead alters, improving forecast performance for some misspecifications. However, in correctly-specified models, reducing finite-sample biases does not justify DE. In a Monte Carlo forecasting study for integrated processes, estimating a unit root in the presence of a neglected negative moving-average error may favour DE, though other solutions exist to that scenario. A second Monte Carlo study obtains the estimator biases and explains these using asymptotic approximations.     

Entry under Asymmetric Regulation

In recent years, the local telephone industry has evolved from a traditionally regulated structure of natural monopoly to one characterized as having a dominant firm and competitive fringe. Yet, legacy regulation from the monopoly era still remains in this new environment, and is often applied solely to the dominant firm. Economic theory suggests that asymmetric regulation of this sort will induce competitive entry. We find support for this theory by demonstrating that the amount of entry into local telephone markets is significantly higher when asymmetric quality-of-service standards are present.     

Divisia moments of Australian consumption

Quarterly Australian consumption data, 1959–1978, are used to compute Divisia price and quantity indexes, together with Divisia variances and covariances. The quantity variances tend to exceed the price variances, and the price-quantity covariances are mostly negative. Estimates of the income flexibility are also presented.     

Measuring Intangible Capital: A Review of Current Practice

This paper examines international practices that measure firm-level investments into intangible capital. The issues motivating the paper are the need for a standardised framework for measuring intangible capital and the possibility for standardised applications of these measures into the future. The paper analyses the differences and problems associated with the properties of the "official" (accounting) and "non-official" measurement approaches. We propose that the way to a standardised, more comparable approach to measuring intangible capital is to employ a back-to-basics "costs" approach which classifies investments in intangible capital as assets based on management intent at the time.     

A simple method of estimating price elasticities in international trade

The differential production theory approach is applied to world trade matrices of 1971 and 1975, which yields a price elasticity estimate of the demand for foreign food of about ?0.7. The elasticity estimates for raw material and manufactures are both between ?0.3 and ?0.4.     

The impact of stress management on nurse productivity and retention

Throughout the history of nursing there is a seeming legacy of personnel shortage, lack of funds, and, based on the nature of the role and related services, heightened levels of stress involved in patient care. The future of the profession, and more imminently, patient care and the health of nurses, may be significantly impacted by repeated challenges where current levels of stress and burnout are contributing to organizational problems, burnout, and attrition. Employee stress and burnout commonly lead to myriad health-related problems that result in significant organizational consequences. There are many methods of stress management, and sometimes the best and most effective begin with simple recognition, validation, and visible and committed efforts by the nurse executive. Regardless of the technique or approach, what is clear is that there is a need for nurse executives to include the development and enhancement of comprehensive stress-management programming for employees as a priority item to avoid burnout and attrition.     

Four Lessons Learned in How to Use Human Resource Analytics to Improve the Effectiveness of Leadership Development

The tools and methodologies being developed in the emerging field of human resource analytics can be used both to measure the impact of your organization's investment in leadership development and, perhaps more importantly, to improve the return on that investment. In particular, analytics can be used to move your organization beyond one‐size‐fits‐all competencies by identifying the unique leadership competencies that drive your organization's business results (sales, profits, and employee turnover). Your employee “engagement survey” is a powerful, but typically underutilized, tool for doing so. By linking it with other, disparate pieces of data (180/360 assessments, Learning Management System (LMS) records, turnover, and financial data), you create the foundation for understanding where leadership competencies explain variation (positive and negative) in your organization's business results. This, in turn, creates a strong evidence base for optimizing your leadership development strategy—and is done so using metrics and analysis, which is the language of CEOs and CFOs.