Spatial linkages among Australian construction markets

The linkages among different construction markets have recently attracted much attention from construction economists. The interactions among regional construction markets have been discussed in a few studies, most of which have been carried out by using input-output methods, and none of them investigated spatial effects on the regional construction markets. This study employed spatial econometric techniques, including spatial autocorrelation and convergence tests, to analyse interactions and linkages among construction price indices in Australian six states and two territories. The empirical results indicate the presence of significant positive spatial correlation among the construction prices in Australian eight construction markets and the degree of dependence decreasing sufficiently quickly as the space between regions increases. The results of convergence test further provide evidence of existence of a ripple effect in construction prices among the Australian regional markets and the changes in construction prices in a state would first positively influence neighbouring states, and then spread out into other non-neighbouring states or territories.

A panel vector error correction approach to forecasting demand in regional construction markets

Reliable forecasting as to the level of aggregate demand for construction is of vital importance to developers, builders and policymakers. Previous construction demand forecasting studies mainly focused on temporal estimating using national aggregate data. The construction market can be better represented by a group of interconnected regions or local markets rather than a national aggregate, and yet regional forecasting techniques have rarely been applied. Furthermore, limited research has applied regional variations in construction markets to construction demand modelling and forecasting. A new comprehensive method is used, a panel vector error correction approach, to forecast regional construction demand using Australia’s state-level data. The links between regional construction demand and general economic indicators are investigated by panel cointegration and causality analysis. The empirical results suggest that both long-run and causal links are found between regional construction demand and construction price, state income, population, unemployment rates and interest rates. The panel vector error correction model can provide reliable and robust forecasting with less than 10% of the mean absolute percentage error for a medium-term trend of regional construction demand and outperforms the conventional forecasting models (panel multiple regression and time series multiple regression model). The key macroeconomic factors of construction demand variations across regions in Australia are also presented. The findings and robust econometric techniques used are valuable to construction economists in examining future construction markets at a regional level.

Panel versus GARCH information in unit root testing with an application to financial markets

In a search for more powerful unit root tests, some researchers have recently proposed accounting for the information contained in the GARCH of the innovations. However, while promising, tests with GARCH are difficult to implement, which has made them quite uncommon in the empirical literature. A computationally attractive alternative is to account not for GARCH but the information contained in a panel of multiple time series. The purpose of the current note is to compare the relative power achievable from these two information sources. © 2014 Elsevier B.V.

Housing markets with foreign buyers

There are cities in the world which have experienced substantial numbers of foreign buyers in the local housing markets, thereby pushing up the real estate prices to the levels beyond the affordability of local residents. To suppress foreign influences in the forming of housing bubbles, governments have resorted to short-term measures of stamp duty or raising the duty rate for non-local buyers, increasing down payments and restricting or even forbidding non-local purchases. These new measures may help contain the demand for housing, but short of being the first-best optimal housing policy for an open economy with significant non-local and foreign buyers. We argue that the first-best policy is to tax non-local and foreign buyers and then use the tax revenue generated to subsidize domestic low- and middle-income buyers. The optimal tax rate under this compensated scheme is smaller than the tax rate under the lump-sum transfer of tax revenue to all residents. © 2014 Springer Science+Business Media New York.

Intermediate housing markets and effective policy responses

This report examines both Australian and international evidence around the nature of housing stress for many low–moderate income households, as well as ways to assist these families into sustainable, affordable housing that meets a variety of individual needs. The findings suggest that whilst there are existing initiatives which make a positive difference in their lives, more needs to be done to alleviate their housing stress.Interventions from across Australia, the US, Canada and Europe are described here and recommendations emerge for further action to address the housing needs of low–moderate income households in NSW.

Music, Markets and Consumption

The article reviews the book "Music, Markets and Consumption" by Daragh O'Reilly, Gretchen Larsen, and Krzysztof Kubacki.

Prospects and challenges of Free Trade Agreements unlocking business opportunities in Gulf Co-Operation Council (GCC) markets

Prospects and Challenges with Free Trade Agreements presents the results of a study that assesses the effectiveness of free trade agreements (FTAs) in unlocking international business opportunities in member states of the Gulf Cooperation ...

On the efficiency of private and state-owned enterprises in mixed markets

We examine oligopoly models of vertical product differentiation in which producing firms face variable costs of quality development. We show that comparing to private oligopoly, mixed oligopoly – whereby state-owned enterprises (SOEs) and private firms coexist – enhances social welfare but reduces firms' profitability. We also demonstrate that Bertrand competition makes firms better off under mixed oligopoly but it makes firms worse off under private oligopoly compared with Cournot competition. These findings help to justify both the existence of SOEs and the efficiency of SOEs and private firms in mixed markets in transitional economies.

Discrimination, Peformance and Career Progression in Australian Public Sector Labor Markets

While promotion is an important mechanism for allocating labor within organizations, relatively little is known about the determinants of promotion in the highly diverse and traditionally heavily regulated Australian labor markets. This study uses unique data from the Victorian Public Sector Census 2004 to identify the extent and nature of bias in the promotion process. Specifically, we use the promotion histories of 16,675 public sector employees to investigate the existence of discrimination in promotion on the basis of gender, disability and cultural diversity. We find that some differences exist in the rate of promotion on the basis of gender, and to a lesser extent, of birthplace, but, importantly, most of these are due to differences in endowments. There are effectively no differences in promotion on the basis of disability. We find that the main driver of promotion in Victorian public sector labor markets is worker effort and performance. Compared to labor markets elsewhere, the Australian public sector is relatively free of discrimination in promotions.