On the forecasting of the challenging world future scenarios

Logistic and power law methodologies for both retrospective and prospective analyses of extended time series describing evolutionary growth processes, in environments with finite resources, are confronted. While power laws may eventually apply only to the early stages of said growth process, the Allee logistic model seems applicable over the entire span of a long range process. On applying the Allee logistic model to both the world population and the world gross domestic product time series, from 1 to 2008 AD, a projection was obtained that along the next few decades the world should experience a new economic boom phase with the world GDP peaking around the year 2020 and proceeding from then on towards a saturation value of about 142 trillion international dollars, while the world population should reach 8.9 billion people by 2050. These results were then used to forecast the behavior of the supply and consumption of energy and food, two of the main commodities that drive the world system. Our findings suggest that unless the currently prevailing focus on economic growth is changed into that of sustainable prosperity, human society may run into a period of serious economical and social struggles with unpredictable political consequences.     

Economic Aspects of Loneliness in Australia

We highlight the problem of loneliness, and argue that it is not only a public health issue but also an economic problem. We provide a brief review of findings from the key literature on the associations between loneliness, mental and physical health, and healthcare costs; and then present some evidence on its trends, the extent of socioeconomic inequalities and its links with health and healthcare usage, in Australia. We hope to encourage further economics research on loneliness, and related issues of social isolation and poor social support, to aid the design of policies and interventions to reduce loneliness.     

INVESTING IN INSTITUTIONS

Robust institutional change is difficult to achieve. However, it is more difficult for some countries than others. We use data on 69 countries between 1870 and 2000 to show that political instability does not always affect growth outcomes. We then develop a simple model to explain this fact in which the likelihood that “good” institutions are abandoned during periods of political uncertainty depends on the opportunity cost of doing so. We operationalize our model by using contract intensive money as a proxy for this initial investment in growth‐enhancing institutions. Cross‐sectional and panel growth regressions support the model's predictions.     

Optimal Lending Contracts and Firm Dynamics

We develop a general model of lending in the presence of endogenous borrowing constraints. Borrowing constraints arise because borrowers face limited liability and debt repayment cannot be perfectly enforced. In the model, the dynamics of debt are closely linked with the dynamics of borrowing constraints. In fact, borrowing constraints must satisfy a dynamic consistency requirement: the value of outstanding debt restricts current access to short-term capital, but is itself determined by future access to credit. This dynamic consistency is not guaranteed in models of exogenous borrowing constraints, where the ability to raise short-term capital is limited by some prespecified function of debt. We characterize the optimal default-free contract—which minimizes borrowing constraints at all histories—and derive implications for firm growth, survival, leverage and debt maturity. The model is qualitatively consistent with stylized facts on the growth and survival of firms. Comparative statics with respect to technology and default constraints are derived.     

Exchange rate volatility and the role of regional currency linkages: the ASEAN case

As the economies of the Association of Southeast Asian Nations (ASEAN) have moved towards closer economic ties and trade integration in recent years, the establishment of exchange rate stability is becoming an important regional policy concern, particularly in the wake of the Asian currency crisis of 1997. This paper examines the exchange rate volatility of the currencies of Indonesia, Malaysia, Philippines, Singapore and Thailand between 1974 and 1999. Using variance decomposition (VDC) methods and impulse response functions, which are VAR-related estimation techniques, the study also investigates the regional currency linkages which may have played a role in transmitting exchange rate fluctuations. The results indicate that, in spite of the adoption of the crawling peg exchange regime following the breakup of the Bretton Woods system, all of the five ASEAN currencies experienced volatility, with the Indonesian rupiah posting the highest volatility level. The switch to de facto pegging against the US dollar in the mid-1980s helped to stabilize all ASEAN currencies with the exception of the Malaysian ringgit. Each of the five currencies became more susceptible to instabilities in other ASEAN currencies in the post-1985 period. Consistent with the experience of the Asian currency crisis, the Thai baht was the main channel through which regional currency fluctuations were transmitted.     

Cost structures of banks grouped by strategic conduct

The hypothesis that the banking system consists of firms that use the same production technology is tested and rejected in this study. Six groupings of the population of commercial banks are identified using cluster analysis. The banks are grouped to reflect similar production technologies within groups but different technologies across groups as defined by the strategic conduct (i.e., activities) of the banks. The results suggest that banks in different clusters employ production processes that feature different degrees of substitutability between factors of production, and that the estimates of input substitutability for those groups look quite different from those estimated based on the full population of commercial banks. The impact of the homogeneity production technology assumption on the measurement of cost efficiency is also assessed. The results show that partitioning the industry by strategic conduct reduces the average inefficiency in the industry. These results support those found by others who used similar partitioning criteria but a more narrowly defined sample of banks.     

Our fans in the north: the demand for British Rugby League

This paper reports the results of estimating a single equation model of an attendance function for British Rugby League over the seasons 1982/83 to 1990/91. The data are panel data covering virtually every team which played in the two division league over the nine year time period. Diagnostic tests indicate that the appropriate model is a semilog random effects model, where the dependent variable is league attendance weighted by population. The major results are as follows: there are significant positive relationships between league attendance and various measures of team success (although the direction of causality is moot), team quality (as proxied by the two divisions) and the economic quality of team location (as proxied by the unemployment rate); but there is no discernible relationship between league attendance and either success in nonleague trophy competitions or measures of exceptional player quality.     

Orchestrating Rent Seeking Contests

Contests have different, sometimes quite complex, organisational structures. In particular, while most of the existing literature focusses on simultaneous contests, multistage contests are also quite frequently encountered. This paper seeks to provide a rationale for the latter by endogenising the choice of a contest structure, which is made by an organiser of a contest interested in maximising the efforts expended by the contenders.     

An Error Component Logit Analysis of Corporate Bankruptcy and Insolvency Risk in Australia

This paper introduces a four-state failure model to depict a wider range of distress scenarios that public companies typically face in the real world. We use a multinomial error component logit model to analyse firm failure, a major advance on the modelling techniques used in previous research. The error component logit model, being an extension of the more familiar mixed logit model, relaxes several questionable statistical assumptions associated with standard models. Using a sample of Australian firms we provide an interpretative illustration of the error component logit model and contrast its behavioural performance with the standard logit model widely used in previous research.