Cross-national differences in trade union membership in OECD countries

This article examines how trade union membership varies across 16 OECD countries in the 1980s. Higher density of membership is found to be associated with a higher degree of centralisation of wage bargaining, higher percentage of employees covered by collective bargaining, a larger public sector and a more leftist party of government.     

Constructing Multi‐Country Rational Expectations Models

This article considers some of the technical issues involved in using the global vector autoregression (GVAR) approach to construct a multi‐country rational expectations (RE) model and illustrates them with a new Keynesian model for 33 countries estimated with quarterly data over the period 1980–2011. The issues considered are: the measurement of steady states; the determination of exchange rates and the specification of the short‐run country‐specific models; the identification and estimation of the model subject to the theoretical constraints required for a determinate rational expectations solution; the solution of a large RE model; the structure and estimation of the covariance matrix and the simulation of shocks. The model used as an illustration shows that global demand and supply shocks are the most important drivers of output, inflation and interest rates in the long run. By contrast, monetary or exchange rate shocks have only a short‐run impact in the evolution of the world economy. The article also shows the importance of international connections, directly as well as indirectly through spillover effects. Overall, ignoring global inter‐connections as country‐specific models do, could give rise to misleading conclusions.     

Cost-effectiveness analysis of secukinumab in ankylosing spondylitis from the Canadian perspective

Aim: To assess the cost-effectiveness of interleukin (IL)-17A inhibitor secukinumab vs the currently licensed biologic therapies in ankylosing spondylitis (AS) patients from a Canadian healthcare system perspective.

Methods: A decision analytic model (semi-Markov) evaluated the cost-effectiveness of secukinumab 150?mg compared to certolizumab pegol, adalimumab, golimumab, etanercept and etanercept biosimilar, and infliximab and infliximab biosimilar in a biologic-naïve population, over 60 years of time horizon (lifetime). The Bath Ankylosing Spondylitis Disease Activity Index (BASDAI 50) response rate was used to assess treatment response at week 12. Non-responders or patients discontinuing initial-line of biologic therapy were allowed to switch to subsequent-line biologics. Model input parameters (short-term and long-term changes in BASDAI and Bath Ankylosing Spondylitis Functional Index [BASFI], withdrawal rates, adverse events, costs, resource use, utilities, and disutilities) were obtained from clinical trials, published literature, and other Canadian sources. Benefits were expressed as quality-adjusted life years (QALYs). Cost and benefits were discounted with an annual discount rate of 1.5% for all treatments.

Results: In the biologic-naïve population, secukinumab 150?mg dominated all comparators, as patients treated with secukinumab 150?mg achieved the highest QALYs (16.46) at the lowest cost (CAD 533,010) over a lifetime horizon vs comparators. In the deterministic sensitivity analysis, results were most sensitive to changes in baseline BASFI non-responders, BASDAI 50 at 3 months and discount rates. Probabilistic sensitivity analysis showed that secukinumab 150?mg demonstrated higher probability of achieving maximum net monetary benefit vs all comparators at various cost thresholds.

Conclusions: This analysis demonstrates that secukinumab 150?mg is the most cost-effective treatment option for biologic-naïve AS patients compared to certolizumab pegol, adalimumab, golimumab, etanercept and etanercept biosimilar, and infliximab and infliximab biosimilar for a lifetime horizon in Canada. Treatment with secukinumab translates into substantial benefits for patients and the healthcare system.     

Towards a Strategy for Knowledge Management

Knowledge management is emerging as a significant organizational and management challenge. The pressures of the emergence of the global knowledge economy, and recognition of knowledge as a key and intangible asset are making the effective management of knowledge a priority. This surge of interest has paid relatively little attention to the object of management-knowledge. Epistemologists and sociologists have produced a variety of definitions and classifications, but there is no consensus. However, with the growth in IT capability, a clear operational distinction can be drawn between information and knowledge. The former can be captured, stored and transmitted in digital form. The latter can only exist in an intelligent system. This distinction is used to develop models of the interaction between knowledge and information, and of the appropriate balance between the two in different situations. On the basis of this model, the challenges of 'knowledge management' are: Establishing and optimizing the information-knowledge balance appropriate to (or providing a competitive advantage) a company or industry; Implementing IT-based productivity improvements in information management; Implementing people- and socially-based mechanisms to enhance knowledge management; Explicitly addressing the knowledge-information interface and mechanisms for improving the processes of transition from information to knowledge, and from knowledge to information; Identifying and maintaining the core knowledge of an organization.     

Understanding the Decline of China's State Sector

MOCT-MOST: Economic Policy in Transitional Economies -     

Correcting for bias in retrospective data

When panel data are not available, retrospective data are used in the estimation of dynamic choice models. However, retrospective data are not reliable. Previous studies of voting choices, for example, have shown that respondents misreport their past choices in order to appear more consistent with their current choice. Such retrospective bias leads to inconsistent estimates, especially when there is state dependence in choices. Specifically, observed persistence in retrospective data may be due to (a) true state dependence, (b) unobserved heterogeneity, and (c) retrospective bias in reporting previous choices. Whereas Heckman in his 1981 study deals with (a) and (b), we introduce a method to estimate true state dependence while accounting for both unobserved heterogeneity and retrospective reporting bias. Our method is based on modeling the reporting behavior and integrating it into the estimation. The identification strategy is based on the correlation between the reported previous choices and current exogenous variables. Using data on Israeli voters, we find that the probability that a respondent whose vote intention in 1991 differed from his or her past voting choices would lie about their past choices is 0.23. Copyright © 2007 John Wiley & Sons, Ltd.     

Quadratic risk domination of restricted least squares estimators via Stein-ruled auxiliary constraints

This paper develops an estimator that under the standard assumption of the General Linear Model, including normality of disturbances, can be designed to dominate the Restricted Least Squares estimator in quadratic risk under very general conditions. The domination is achieved for any choice of symmetric positive definite weighting matrix used in defining the quadratic risk function, regardless of the correctness of the constraints used to define the restricted least squares estimator. The general problem conditions under which the estimator exists, and the risk behavior of the estimator over the parameter space are identified.     

Papua New Guinea: longer term developments and recent economic problems

Papua New Guinea (PNG) has much to learn from the Indonesian economic experience of coping with one booming sector while creating an environment in which the economy could generate jobs. PNG's macroeconomic policy adjustments to the boom-bust cycles which characterise its economy work extremely well by comparison to most other developing countries experiencing the same difficulties. At the microeconomic level, policy improvement has been harder, with the rhetoric far out-distancing the actual advances. The challenge is to improve the productivity of the agricultural sector, to raise the education levels, and to attract investment to provide employment. At present the investment environment is bleak because of the deteriorating law and order situation.     

A random coefficient autoregressive Markov regime switching model for dynamic futures hedging

The random coefficient autoregressive Markov regime switching model (RCARRS) for estimating optimal hedge ratios, which generalizes the random coefficient autoregressive (RCAR) and Markov regime switching (MRS) models, is introduced. RCARRS, RCAR, MRS, BEKK‐GARCH, CC‐GARCH, and OLS are compared with the use of aluminum and lead futures data. RCARRS outperforms all models out‐of‐sample for lead and is second only to BEKK‐GARCH for aluminum in terms of variancereduction point estimates. White's data‐snooping reality check null hypothesis of no superiority is rejected for BEKK‐GARCH and RCARRS for aluminum, but not for lead. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:103–129, 2006