Investments and uncertainty revisited: the case of the US economy

This article examines the relationship between investments and uncertainty for the US economy, as the latter is approximated by consumer sentiment, purchasing managers’ prospects and economic policy uncertainty. Contrary to the existing literature, we provide evidence that this relationship is time varying. The time variation is attributed to the observed temporal replacement effect between private and public investments. Furthermore, we show that there are two distinct correlation regimes in this relationship and unless we concentrate on them, we cannot fully unravel the real link between uncertainty and investments. Finally, we examine whether the use of the two correlation regimes provides better forecasts for investments compared to the use of the uncertainty indices alone. The forecasting exercise reveals that the use of correlation regimes provides statistically superior out-of-sample forecasts.     

International Comparisons of Australia's Infrastructure Performance

International benchmarking has played a key role in the reform of Australia's infrastructure industries by promoting indirect or yardstick competition, in highlighting the need for further reform and building a consensus for implementing necessary changes. The international benchmarking of infrastructure performance by the Bureau of Industry Economics (BIE) between 1991 and 1996 did much to focus attention on the need for change. The BIE examined the performance of eight infrastructure industries relative to international best practice: electricity, rail freight, telecommunications, the waterfront, road freight, coastal shipping, aviation and gas supply. Performance comparisons concentrated on indicators of price, service quality, labour productivity and capital productivity. This paper reviews and summarises the performance comparisons the BIE undertook over the last three years of its infrastructure benchmarking program. The BIE international benchmarking program provides a useful role model for other countries wanting to seriously pursue reform of their infrastructure industries.     

Price competition and market transparency: evidence from a random response technique

Surveys can increase market transparency when information asymmetries are present—but this will only happen when respondents answer questions truthfully. Sometimes, however, it might not be in the respondents’ best interest to provide truthful information on their firm or market. This will be especially true when other firms can exploit any information they provide. Understanding when, and under what conditions, respondents answer questions truthfully is important to researchers studying these markets and to policymakers using firm surveys to identify ways of improving the business environment. Using data from two countries in South Asia, this paper uses a random response technique to identify respondents that do not answer truthfully. We label these respondents as ‘reticent’. We show that respondents become more reticent when their firms face intense price competition. We argue that this is because intense competition gives respondents a greater incentive to misreport information to reduce market transparency.     

Interest differentials and extreme support for uncovered interest rate parity

This paper addresses two findings from the empirical literature testing uncovered interest parity (UIP): (i) more favorable results when interest differentials (IDs) are large and (ii) instability across samples. Simulations demonstrate that explanations of the results using large IDs based on the hypothesis of a “zone of speculative inactivity” are inconsistent with empirical evidence. Furthermore, it is shown that, if agents forecast IDs based on long-run values, coefficient estimates will be unstable if rates of decay in IDs vary significantly and, for ex post UIP to hold, IDs must decay in absolute value. This is consistent with OECD country data.     

Recovering Hicksian Consumer Surplus within a Collective Model: Hausman's Method for the Household

The purpose of this paper is to describe the implications of the collective model of household behavior for the methods used to estimate the economic value of non-marketed environmental resources. After demonstrating how the separability restrictions inherent in the collective model allow individual preference and household income allocation choices to be distinguished, the paper demonstrates how the framework can be used to recover Hicksian consumer surplus. An algebraic example is used to illustrate how the framework can be used in valuing environmental resources.     

Aid Effectiveness: Looking at the Aid–Social Capital–Growth Nexus

The authors examine the impact of institutional quality and social capital on aid effectiveness. They find strong evidence that social capital and institutions enhance aid effectiveness. Moreover, once they account for the role of social capital and institutions, the impact of policies tends to disappear. These findings have important policy implications as they indicate that conditioning aid allocation on "good policies" may not lead to an optimal (or fair) allocation of aid, as countries with high social capital at the macrolevel could actually make good use of aid regardless of the quality of policy. This casts doubt on the conclusions in Burnside and Dollar (2000 ) and the policy lessons derived from their findings.     

Towards multi-system sociotechnical transitions: why simulate

A number of research frameworks have been developed for studying sociotechnical transitions. These are complex phenomena, particularly those involving multi-system interactions. Given these characteristics, the paper discusses the challenges in studying transitions solely through inductive inference methods. It argues that transition research has reached a point where taking the next step should include modelling and simulation as part of the standard methodological exploratory toolkit for studying the intensity, nature and timing of system interaction that lead to transitions and for producing timely and robust policy recommendations.     

Model misspecification effects for biased samples

The model misspecification effects on the maximum likelihood estimator are studied when a biased sample is treated as a random one as well as when a random sample is treated as a biased one. The relation between the existence of a consistent estimator under model misspecification and the completeness of the distribution is also considered. The cases of the weight invariant distribution and the scale parameter distribution are examined and finally an example is presented to illustrate the results.     

Working and Caring for a Child with Chronic Illness: Challenges in Maintaining Employment

This paper shares some pertinent findings from an initial, qualitative stage of a larger, national study currently being undertaken in Australia, exploring the support needs of parents who are working full time and caring for a child with chronic illness. The findings presented here depict the negative impact of these parents caring responsibilities on their work life and the increased stress they experience trying to maintain full time employment. In-depth interviews revealed how these parents had to rearrange their working hours, use up their leave entitlements, work unsatisfactory hours, sacrifice their careers and even change their jobs in order to balance their dual roles. In addition, the findings also highlight the negative and unsupportive attitude that employers had towards these parents. These employment conditions were extremely stressful and frustrating for parents affecting their physical and emotional well being.