Adding a Top‐Up Sample to the Household,Income and Labour Dynamics in Australia Survey

Since its commencement in 2001, the Household, Income and Labour Dynamics in Australia Survey has become a much‐used resource by researchers. Over the same time, the Australian population has evolved in a number of ways that the sample, even with ‘following rules’, cannot emulate. Most notable is the lack of recent immigrants arriving after 2001. A general population‐wide top‐up of the sample was added in 2011 which allows new population sub‐groups to be represented and helps alleviate biases from non‐random attrition. This article describes the methodology of the top‐up sample, the response rates achieved and the representativeness of the combined sample.     

Measuring the Consistency of Cross‐Sectional and Longitudinal Income Information in EU‐SILC

The EU‐wide survey “Statistics on Income and Living Conditions” (EU‐SILC) is extremely important for international social science research and policy advice. It is therefore crucial to ensure that the data are of the highest quality and international comparability. This paper is aimed at identifying unexpected developments in income levels, income mobility, and inequality in the EU‐SILC data between 2005 and 2009. We examine the consistency of EU‐SILC by comparing cross‐sectional results with findings based on two‐year longitudinal samples. Although the data represent similar populations, for several countries the results of this comparison differ widely. One important outcome is the high degree of variability over time in countries that obtain their income information from register data. This suggests methodological challenges in the clear designation of new subsample members, in the reweighting of the data, in imputation of missing values, and in other areas.     

Self‐employment Dynamics in Australia and the Importance of State Dependence

Using Australian labour force data, both cross‐sectional and longitudinal, this study examines the dynamics of self‐employment with a particular focus on workers transitioning between self‐employment and salaried employment, and the extent to which self‐employment is the result of workers’ observed and unobserved characteristics or is instead determined by their prior employment experience itself. Probability models of self‐employment using both pooled‐panel probit and dynamic random‐effects panel probit methods are estimated, and the results are found to be extremely sensitive to the differences in the econometric methods. Once unobserved heterogeneity and initial conditions are controlled for in the dynamic model, the importance of observed characteristics in determining self‐employment is greatly diminished. Instead, workers’ past experience in self‐employment (as opposed to salaried employment) is found to have a large favourable effect on their future self‐employment prospects. The influence of this state dependence is also considerably more important in determining self‐employment outcomes than salaried ones. Despite establishing the importance of state dependence, however, what this effect implies about why individuals choose to become self‐employed or the role that self‐employment plays in the labour market remains unresolved.     

Multi‐asset Deprivation and Pro‐poor Growth in Cameroon

This article analyzes pro‐poor growth of multiple dimensions of household well‐being by sector of activity in Cameroon. It uses (1) a polychoric principal component analysis to construct indicators of household asset endowments, (2) the growth incidence curve to analyze the pro‐poorness of the different assets, and (3) a Shapley value framework decomposition to account for changes in deprivation in terms of within‐sector growth and changes in within‐sector inequality. Data is sourced from the second and third Cameroon household consumption surveys. Results show that: (a) pro‐poor growth is not observed for all assets and households at the bottom of the distribution of the different assets experienced an increase in inequality; (b) for all asset endowments, overall deprivation worsened between 2001 and 2007; (c) whereas the growth component mitigated the worsening incidence, depth and severity of human asset deprivation, both growth and redistribution components accounted for the worsening physical, financial and social asset deprivations; (d) while the tertiary sectors of activity benefited some human asset poverty reduction, all sectors suffered from worsening financial and social asset deprivation. These results have implications for promoting growth and improving the allocation of household assets.     

Income and price elasticities of electricity demand in Australia: Evidence of state‐specific heterogeneity

This paper estimates country‐wide and state‐level income and price elasticities of electricity demand in Australia for the period 1999Q1–2013Q2 using the National Electricity Market data and the autoregressive‐distributed lag model. The results suggest that the long‐run income and price elasticities are inelastic and are statistically significant with theoretically consistent signs. The country‐wide income and price elasticities are estimated to be 0.41 and ?0.38, respectively. It is also found that there exists state‐specific heterogeneity in both speed and magnitude of the electricity consumption adjustment in response to changes in income and electricity price. These results have important policy implications, including the need to use state‐specific elasticities in the scenario analysis of the energy pricing policy.     

The Household, Income and Labour Dynamics in Australia (HILDA)Survey: Wave 1

In 2001 the first wave of the HILDA Survey, Australia's first large–scale household panel survey, was conducted. This article summarises the key features of that survey.     

Cross‐Country Income Differences Revisited: Accounting for the Role of Intangible Capital

This paper develops a new intangible investment database that is consistent and internationally comparable for a set of 60 economies over the period 1995–2011. I find that over time a growing share of total investment consists of intangible assets, rather than investment in tangible assets, like machinery and buildings. Across countries, the level of economic development of a country is positively associated with its investment intensity in intangibles. By including intangible capital as an additional production factor, this paper finds that we can account for substantially more of the variation in cross‐country income levels. Depending on the assumptions regarding the output elasticities of factor inputs, the observed differences in intangible capital can account for up to 16 percentage points of the cross‐country income variation.     

Commodity Prices and the Dynamics of Inflation in Commodity‐Exporting Nations: Evidence from Australia and Canada*

A commodity‐price boom is under way. What does this boom mean for inflation in countries with substantial net commodity exports? The answer depends on movements in commodity prices, changes in foreign exchange rates and the determinants of domestic price inflation. We estimate equations to provide indications of the strength of each of these forces for both Australia and Canada. The results show that world commodity prices move pro‐cyclically with world industrial production and that rates of change in commodity prices are directly related to domestic inflation in both countries. However, there is an offsetting impact of exchange‐rate changes, which is strong enough in the case of Australia, but not Canada, to substantially eliminate the inflationary impact of a commodity‐price boom.     

Firm‐Level Analysis Using the ABS’ Business Longitudinal Analysis Data Environment (BLADE)

The Australian Bureau of Statistics’ (ABS) Business Longitudinal Analysis Data Environment (BLADE) is the most comprehensive firm‐level statistical asset in Australia. This short overview provides readers a window into what data sources are used, how they are integrated, current and future applications and how these can contribute to evidence‐based policy making in Australia. At present, direct access is limited to staff directly employed by the Australian Statistician or through secondment.     

School Performance in Australia: Is There a Role for Quasi‐Markets?

Recent changes to the organisation of Australia's education system have raised the possibility of implementing wide‐ranging market reforms. In this article we discuss the scope for introducing reforms similar to the United Kingdom's ‘quasi‐market’ model. We discuss the role of school league tables in providing signals and incentives in a quasi‐market. Specifically, we compare a range of unadjusted and model‐based league tables of primary school performance in Queensland's public education system. These comparisons indicate that model‐based tables which account for socio‐economic status and student intake quality vary significantly from the unadjusted tables.     

Business Growth,Size and Age: Evidence from the Business Longitudinal Survey (BLS) Data in Australia

Despite the important role small and medium‐sized enterprises (SMEs) play in the Australian economy, little is known from empirical literature on the formation, growth and frequent dissolution of these businesses. Considering the dynamics of business behaviour, this article analyses the performance, business formation (or dissolution) and variability of growth. Using only available Business Longitudinal Survey (BLS) data from the Australian Bureau of Statistics (ABS), manufacturing businesses are considered for the analysis. Firm growth, the variability of firm growth and the probability that a firm will fail (or survive) depend on firm age. Incorporating the age for Australian businesses, we are able to explain the importance of maturity in analysing growth and survival process of SMEs.     

Poverty and Income Dynamics in Philippine Villages, 1985–2004

The authors examined the long‐term changes in household income structure and decline in poverty in three rice‐growing villages in the rural Philippines from 1985 to 2004. They found a shift of household income structure away from farm to nonfarm sources, accompanied by a decline in the incidence of poverty by about one‐half. Such a decline can be explained primarily by the rise in returns to the “quantity” attributes of human capital, measured by age composition, and, secondly, by the rise in returns to the “quality” attributes, measured by the proportion of household members completing secondary and tertiary schooling. It is clear that the poor benefited from the development of the nonfarm labor market where they were able to fully utilize their only asset, that is unskilled labor.     

Data Survey: Developing the Statistical Longitudinal Census Dataset and Identifying Its Potential Uses

A number of longitudinal surveys have been run in Australia since the 1990s. Recognising the increasing community demand for longitudinal data, the Australian Bureau of Statistics embarked on the creation of a longitudinal dataset, based on the Australian Census of Population and Housing. The key feature of this project is to link a 5 per cent sample of the 2006 Census to subsequent Censuses using a combination of variables available on the Census, thus forming a Statistical Longitudinal Census Dataset (SLCD). This article aims to provide the research community with an overview of the SLCD.     

Income Level and Income Inequality in the Euro‐Mediterranean Region,C. 14–700

Was the Euro‐Mediterranean region at the time of the Roman Empire and its Western successor states more unequal than the European Union today? We use some scant evidence on personal income distribution within the Empire and differences in average regional incomes to conclude that the Empire was more homogeneous, in terms of regional incomes, than today's EU, and inter‐personal inequality was low. Moreover, income inequality was likely less around year 700 than in Augustus's time. The latter finding contrasts with a view of rising inequality as the Western Roman Empire dissolved.     

Sectoral Employment Dynamics in Australia and the COVID-19 Pandemic

We develop a multivariate time series model of employment in 19 sectors for Australia. We use this model to determine the long-run effect of a 1% increase in economic activity in any chosen sector on aggregate employment. Our findings point to manufacturing and construction sectors as those that generate the largest positive spillovers for the aggregate economy. Moreover, we provide an interactive web-based app that produces our model's forecasts based on any user-specified scenario. As the restrictions associated with the COVID-19 pandemic evolve, the sectoral employment multipliers together with these interactive tools will provide useful information for policymakers.     

PanelWhiz and the Australian Longitudinal Data Infrastructure in Economics

PanelWhiz is a graphical user interface that was written for the statistical software, Stata SE/MP Version 11 (Win/Mac/Linux) or later, which allows users to extract data from complicated multi‐level longitudinal datasets in an easy and efficient manner. Specifically, Australian datasets, such as Household, Income and Labour Dynamics in Australia Survey, Medicine in Australia: Balancing Employment and Life, Growing Up in Australia: The Longitudinal Study of Australian Children, Footprints in Time—The Longitudinal Study of Indigenous Children and Consumer Attitudes, Sentiments & Expectations in Australia, have already been integrated into the common platform of the PanelWhiz system.     

Lost Exceptionalism? Comparative Income and Productivity in Australia and the UK, 1861–1948*

Australia had one of the highest per capita incomes in the world in the late nineteenth century, although this exceptional position subsequently eroded over time. This paper compares national income and sectoral labour productivity in Australia and the UK between 1861 and 1948 to uncover the underlying sources of Australia's high income and the reasons for its subsequent relative decline. We find that the country's higher per capita income was due primarily to higher labour productivity, because labour force participation, although higher in Australia than in the USA, was lower than in the UK. Australia had a substantial labour productivity lead in agriculture throughout the period, due to the importance of high value-added, non-arable farming, and a smaller lead in industry before World War I. The early productivity lead in industry was largely based on the importance of mining, and disappeared as manufacturing became more important. There was little productivity difference in services. These results reaffirm the importance of Australia's successful exploitation of its natural resource endowments in explaining the country's high initial income.     

Nontraded Goods and Real Exchange Rates in a Multi‐Good Ricardian Model

The two‐country Ricardian trade model with discrete goods and uniform transport costs for tradable goods is applied to the decomposition of the real exchange rate into traded and nontraded components. The real exchange rate is driven almost entirely by changes in the productivity differentials in nontraded goods and also explains the Balassa–Samuelson effect of a lower cost of living in poor countries, but extraordinary transport costs for some nontraded goods are necessary to easily explain the Balassa–Samuelson effect.