Habit Formation in an Overlapping Generations Model with Borrowing Constraints

We introduce habit‐formation in the three‐period OLG borrowing‐constrained framework of Constantinides et al. (2002) by allowing the utility of the middle‐aged (old) to depend on consumption when young (middle‐aged). This specification enables us to separate the effect of the two habit parameters (middle‐aged and old) since each representative age‐group can face different levels of habit persistence. The two‐habit setup underlines some important issues with regards to savings and security returns which do not always conform to the standard findings in the literature. In addition, the model produces equity premium consistent with US data for relatively small levels of risk aversion.     

Modelling Electricity Prices: International Evidence*

This article analyses the evolution of electricity prices in deregulated markets. We present a general class of models that simultaneously takes into account several factors: seasonality, mean reversion, GARCH behaviour and time‐dependent jumps. The models are applied to daily equilibrium spot prices of eight electricity markets. Eight different nested models were estimated to compare the relative importance of each factor in each of the eight markets. We find strong evidence that electricity equilibrium prices are mean‐reverting, with volatility clustering (GARCH) and with jumps of time‐dependent intensity, even after adjusting for seasonality.     

The Motivation and Effectiveness of Gas Industry Economic Regulation in New South Wales, 1912–39

The oldest industry in Australia subjected to economic regulation is the gas supply industry in the state of New South Wales. In this paper the aims and motivation of the New South Wales Government in establishing the regulatory regime in 1912 and the subsequent effectiveness in achieving them are determined. Initially the regulatory regime was based on ad hoc arrangements, but eventually a more permanent structure was devised that effectively defused political controversy over gas market pricing and stabilised prices rather than substantially lowered them.     

On the implications of market power in banking: Evidence from developing countries

This paper investigates how different degrees of market power affect bank efficiency and stability in the context of developing economies. It sheds light on the competition-stability nexus by documenting and analyzing the complex interactions between a tripod of variables that are central for regulators: the degree of market power, bank cost and profit efficiency, and overall firm stability. The results show that an increase in the degree of market power leads to greater bank stability and enhanced profit efficiency, despite significant cost efficiency losses. The findings lend empirical justification to the traditional view that increased competition may undermine bank stability, and may bear significant implications for stressed banking systems in developing economies.     

Industry Structure and Corporate Debt Maturity

We examine how industry competition affects firms’ choice of short‐term debt. We find that the percentage of short‐term debt is positively related to industry concentration at low levels of concentration, and inversely related to industry concentration at higher levels of concentration. This nonlinear relation is stronger in industries where firms are either more homogeneous or compete more aggressively. Moreover, we find that firms with shorter‐maturity debt are less aggressive than their rivals in the product market. The overall evidence suggests that although financial contracts alleviate agency problems, they exacerbate the risk of predation.     

Large-scale mortality shocks and the Great Irish Famine 1845–1852

This paper considers the consequences of a large scale mortality shock arising from a famine or epidemic for long run economic and demographic development. The Great Irish Famine of 1845–1852 is taken as a case-study and is incorporated as an exogenous mortality shock into the type of long-run unified growth theory pioneered by Galor and Weil (1999, 2000), and modelled by Lagerlöf (2003a,b) among others. Through calibration, the impact of such a mortality shock occurring on the cusp of a country's transition from a Malthusian to a Modern Growth regime is then depicted.     

Economic importance and statistical significance: Guidelines for communicating empirical research

Abstract

A critical objective for many empirical studies is a thorough evaluation of both substantive importance and statistical significance. Feminist economists have critiqued neoclassical economics studies for an excessive focus on statistical machinery at the expense of substantive issues. Drawing from the ongoing debate about the rhetoric of economic inquiry and significance tests, this paper examines approaches for presenting empirical results effectively to ensure that the analysis is accurate, meaningful, and relevant for the conceptual and empirical context. To that end, it demonstrates several measurement issues that affect the interpretation of economic significance and are commonly overlooked in empirical studies. This paper provides guidelines for clearly communicating two distinct aspects of “significance” in empirical research, using prose, tables, and charts based on OLS, logit, and probit regression results. These guidelines are illustrated with samples of ineffective writing annotated to show weaknesses, followed by concrete examples and explanations of improved presentation.     

THE 200 KM CITY: BRISBANE,THE GOLD COAST,AND SUNSHINE COAST

Since the 1970s, several Southeast Queensland coastal towns in areas marketed as the ‘Gold Coast’ and the ‘Sunshine Coast’ have merged with each other and joined with Brisbane to become one of the world's longest urban coastal strips. The population of this 200 km long city is fast approaching three million. This urban pattern reflects the preferences of many Australians about where and in what type of housing they would like to live. The unplanned nature of this growth raises several policy challenges relating to resource use and traffic congestion.     

Trading frequency and volatility clustering

Volatility clustering, with autocorrelations of the hyperbolic decay rate, is unquestionably one of the most important stylized facts of financial time series. This paper presents a market microstructure model that is able to generate volatility clustering with hyperbolically decaying autocorrelations via traders with multiple trading frequencies, using Bayesian information updates in an incomplete market. The model illustrates that signal extraction, which is induced by multiple trading frequencies, can increase the persistence of the volatility of returns. Furthermore, we show that the volatility of the underlying time series of returns varies greatly with the number of traders in the market.     

A Comparison of EPI Sampling, Probability Sampling, and Compact Segment Sampling Methods for Micro and Small Enterprises

Finding an efficient method for sampling micro- and small-enterprises (MSEs) for research and statistical reporting purposes is a challenge in developing countries, where registries of MSEs are often nonexistent or outdated. This lack of a sampling frame creates an obstacle in finding a representative sample of MSEs. This study uses computer simulations to draw samples from a census of businesses and non-businesses in the Tshwane Municipality of South Africa, using three different sampling methods: the traditional probability sampling method, the compact segment sampling method, and the World Health Organization's Expanded Programme on Immunization (EPI) sampling method. Three mechanisms by which the methods could differ are tested, the proximity selection of respondents, the at-home selection of respondents, and the use of inaccurate probability weights. The results highlight the importance of revisits and accurate probability weights, but the lesser effect of proximity selection on the samples' statistical properties.