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.     

Has the Canada-US trade agreement fostered price integration?

Has the Canada-US Trade Agreement Fostered Price Integration? — This paper assesses the Canada-US Trade Agreement (CUSTA) from the perspective of market integration. Using monthly data on producer price indices and the exchange rate of both countries for the 1974:1–1996:1 period, a Johansen procedure is used to test for a long-run equilibrium or cointegrated price system among the price series. In addition, to determine whether product markets are converging after the implementation of CUSTA, a Kaiman filter or time-varying parameter analysis is used. Empirical evidence supports the conclusion that CUSTA did not cause price integration or convergence, rather for the two markets convergence and integration were well established prior to CUSTA. The success of CUSTA appears to be in maintaining Canadian access to the US market in the face of rising US protectionism.     

Understanding the Decline of China's State Sector

MOCT-MOST: Economic Policy in Transitional Economies -     

Volatility of capital flows and financial liberalization: Do specific flows respond differently?

This paper examines the volatility of capital flows following the liberalization of financial markets. Utilizing a panel data set of overlapping data, the paper focuses on the response of foreign direct investment, portfolio flows, and other debt flows to financial liberalization. The financial liberalization variable comes from the chronology and index developed by Kaminsky and Schmukler [Kaminsky, G.L. and Schmukler, S.L., 2003, Short-run pain, long-run gain: The effects of financial liberalization, IMF Working Paper WP/03/34.]. Different types of capital flows are found to respond differently to financial liberalization. Surprisingly, portfolio flows appear to show little response to capital liberalization while foreign direct investment flows show significant increases in volatility, particularly for the emerging markets considered.     

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.     

An account of the Washington Lend Lease negotiations 1944 by E. A. G. Robinson

In September 1944, John Maynard Keynes set sail for Washingtonwhere Keynes was to be a key negotiator in the talks leadingup to Stage II of Lend Lease. Accompanying him and his wifewas Keynes's colleague and friend, E. A. G. (Austin) Robinson.Robinson's role was to be Head of Programmes Division for theMinistry of Production. While Keynes would deal with Harry Whiteand Henry Morgenthau, Robinson was involved with the underlyingproduction of a case for the urgent financial needs of war-timeBritain. Robinson saw the tensions at all levels of daily lifeand he recorded his demanding times in a series of letters hometo his wife, Joan Robinson. These letters are published herefor the first time.     

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