The high cost of accurate knowledge

Many business thinkers believe it's the role of senior managers to scan the external environment to monitor contingencies and constraints, and to use that precise knowledge to modify the company's strategy and design. As these thinkers see it, managers need accurate and abundant information to carry out that role. According to that logic, it makes sense to invest heavily in systems for collecting and organizing competitive information. Another school of pundits contends that, since today's complex information often isn't precise anyway, it's not worth going overboard with such investments. In other words, it's not the accuracy and abundance of information that should matter most to top executives--rather, it's how that information is interpreted. After all, the role of senior managers isn't just to make decisions; it's to set direction and motivate others in the face of ambiguities and conflicting demands. Top executives must interpret information and communicate those interpretations--they must manage meaning more than they must manage information. So which of these competing views is the right one? Research conducted by academics Sutcliffe and Weber found that how accurate senior executives are about their competitive environments is indeed less important for strategy and corresponding organizational changes than the way in which they interpret information about their environments. Investments in shaping those interpretations, therefore, may create a more durable competitive advantage than investments in obtaining and organizing more information. And what kinds of interpretations are most closely linked with high performance? Their research suggests that high performers respond positively to opportunities, yet they aren't overconfident in their abilities to take advantage of those opportunities.     

Saving in Developing Countries: An Overview

This article reviews the current state of knowledge on the determinantsof saving rates, presenting the main findings and contributionsof the recently completed World Bank research project, ‘SavingAcross the World.’ The article discusses the basic designof the research project and its core database, the World SavingDatabase. It then summarizes the main project results and placesthem in the context of the literature on saving, identifyingthe key policy and nonpolicy determinants of private savingrates. Special attention is paid to the relationship betweengrowth and saving and the impact of specific policies on savingrates. The article concludes by introducing the studies includedin this special issue.     

Changing lifestyles and consumption patterns in developing countries: A scenario analysis for China and India

China and India are the world's largest developing economies and also two of the most populous countries. China, which now has more than 1.3 billion people, is expected to grow to more than 1.4 billion by 2050, and India with a population of 1 billion will overtake China to be the most populous country with about 1.6 billion population. These two countries are home to 37% of the world's population today. In addition, China and India have achieved notable success in their economic development characterised by a high rate of gross domestic product (GDP) growth in the last two decades. Together the two countries account already for almost a fifth of world GDP.The most direct and significant result of economic growth in India and China is the amazing improvement in quality of life (or at least spending power) for an increasing share of the population. The populations of both the countries have experienced a transition from ‘poverty’ to ‘adequate food and clothing’; today growing parts of the population are getting closer to ‘well to do lifestyles’. These segments of the society are not satisfied any more with enough food and clothes, but are also eager to obtain a quality life of high nutrient food, comfortable living, health care and other quality services.The theme of this paper is to analyse how the major drivers contributed to the environmental consequences in the past, and to take a forward look at the environmental impacts of these driving forces in China and India. The paper identifies population, affluence and technology to be the major driving forces in environmental pollution for these two countries then applies the simple equation of Impact=Population×Affluence×Technology, or I=PAT to evaluate the effects of changes in these drivers on CO₂ emissions.     

An Experimental Bribery Game

Essential characteristics of corruption are (1) reciprocityrelationships between bribers and public officials, (2) negativewelfare effects, and (3) high penalties when discovered. Weseparate the influences of these factors in an experiment. Ina two-player game, reciprocation is economically inefficientthrough negative externalities. A control treatment withoutexternalities is also conducted. In a third, so-called suddendeath treatment, corrupt pairs face a low probability of exclusionfrom the experiment without payment. The results show that reciprocitycan establish bribery relationships, where negative externalitieshave no apparent effect. The penalty threat significantly reducescorruption, although discovery probabilities are typically underestimated.     

Robustly optimal monetary policy in a microfounded New Keynesian model

We consider optimal monetary stabilization policy in a New Keynesian model with explicit microfoundations, when the central bank recognizes that private-sector expectations need not be precisely model-consistent, and wishes to choose a policy that will be as good as possible in the case of any beliefs close enough to model-consistency. We show how to characterize robustly optimal policy without restricting consideration a priori to a particular parametric family of candidate policy rules. We show that robustly optimal policy can be implemented through commitment to a target criterion involving only the paths of inflation and a suitably defined output gap, but that a concern for robustness requires greater resistance to surprise increases in inflation than would be considered optimal if one could count on the private sector to have “rational expectations.”     

A forecasting comparison of some var techniques

Higher dimensional multivariate time series models suffer from the problem of over-parametrisation which impairs their forecasting performance. Starting from such unrestricted vector autoregressive models the paper discusses two ways to cope with this difficulty. The first approach reduces the number of free parameters by applying a subset modelling strategy. The second approach takes a Bayesian point of view by formulating ‘priors’ which are then combined with sample information, but leaving the original specification unaltered. Using Austrian quarterly macroeconomic time series a comparative study is undertaken by running alternative forecasting exercises. Both methods improve out-of-sample forecasting performance substantially at the cost of some bias in ex-post simulations. Comparing the ex-ante predictions of the two approaches, the former does better at short horizons whereas the latter gains as the forecast horizon lengthens.     

Increasing life expectancy and optimal retirement in general equilibrium

We analytically assess the effects of changes in longevity on the interest rate, the consumption-savings behavior, and the optimal retirement decision within a dynamic general equilibrium setting. We derive a simple sufficient condition for which the optimal retirement age always increases with life expectancy. Numerical assessment reveals that for realistic parameter values that reflect the situation in industrialized countries, the optimal retirement age indeed increases with life expectancy and the sufficient condition tends to be fulfilled. Together with the fact that the actual retirement age did not increase in industrialized countries over the last decades, while there have been large improvements in longevity, this leads us to conclude that strong monetary and institutional incentives for early retirement exist and these counteract the effects of increasing life expectancy. Our policy conclusion is that the retirement age should be partially linked to life expectancy and that incentives for early retirement should be removed.