Development in Information and Communications Technology (ICT) Statistics at the Australian Bureau of Statistics

This paper outlines the ICT statistical developments that the ABS has undertaken over recent years. These developments have been on both the supply side (ICT industry) and the demand side (use of IT by sector). The content of ABS ICT surveys has changed significantly over the last few years and are expected to develop further in line with industry changes and emerging policy needs.
Recent developments in household collections have been the inclusion of IT use questions in the 2001 Census of Population and Housing and in various ABS social surveys such as Children's Participation in Culture and Leisure Activities. Annual business IT use surveys are now conducted and include topics such as Internet commerce and IT security. Biennial ICT industry surveys are conducted to provide data on ICT production, imports and exports, ICT industry employment, performance and structure information. An Internet activity survey is run every six months and provides regional Internet access details and infrastructure details on Internet service providers.
A major development for 2002–03 will be the compilation of an ICT satellite account. ABS intends to produce an ICT Information Development Plan to guide its future statistical development work in the ICT field.     

Household Surveys,Consumption, and the Measurement of Poverty

Household surveys are playing an increasingly important role in the measurement of poverty and well-being around the world. The Living Standards Measurement Study, which was begun in the World Bank under the guidance of Graham Pyatt in 1979, has played an important role in this movement. Its surveys are widely used within the Bank to measure consumption-based poverty, and survey data are now the exclusive basis for the global poverty counts. This paper discusses a number of unresolved issues in using consumption-based surveys for measuring well-being, including the choice of a money-metric versus welfare-ratio approach, the collection of suitable price information, the effects of measurement error on estimation, and methods for correcting per capita consumption for the demographic structure of the household.     

RESEARCH NOTE: ERRORS IN THE OCTOBER HOUSEHOLD SURVEY 1994 AVAILABLE FROM THE SOUTH AFRICAN DATA ARCHIVE1

The on‐line electronic documentation supplied with the 1994 October Household Survey by the South African Data Archive (SADA) appears to be incorrect. In particular, the electronic version of the questionnaire does not correspond to the hard copy in the possession of the author. The most serious error is that the race classification in the electronic copy is different from the classification on the hard copy. Researchers relying on the electronic copy will erroneously interchange the categories “Coloured”, “White” and “Black”. This could lead to seriously misleading analyses. The reason for this mistake can probably be attributed to a retyping of the questionnaire using the 1993 OHS as a template.     

Mechanisms for controlling expenditure in the Spanish Royal Household, c.1561-c.18081

The purpose of this article is to examine the accounting and auditing in the Spanish Royal Household between 1561 and 1808. The Royal Household was the third most important item of expenditure that the State Treasury financed, after the Army and Navy and the National Debt. On studying spending control in the Royal Household, we have rejected the idea, often advanced by historiography, that there was no spending control within this institution. On the contrary, treasurers and accountants were only able to release funds for expenditure purposes on the basis of prior authorization. However, the efficiency of spending control was very limited due to technical, administrative and, above all, social and political elements.     

Do homeowners achieve more household wealth in the long run?

Despite the public’s faith in homeownership as a vehicle for wealth creation, there are surprisingly few empirical studies of the independent impact of homeownership and its duration on household wealth accumulation. This paper provides the first empirical evidence that homeownership, after controlling for other drivers of wealth accumulation, is positively and significantly associated with wealth accumulation over time. Using the Panel Survey of Income Dynamics, it examines the influence of housing tenure choices between 1989 and 2001 on household net wealth levels in 2001 after controlling for initial wealth in 1989, location, income, education, and other family and personal characteristics that might influence the rate of wealth accumulation. Importantly, the models used also control for the tendency of households to accumulate wealth between 1984 and 1989 (five years prior to the studied period). This approach is used to address the possibility that an unobserved variable—the propensity to save or accumulate wealth—may be associated with both the probability and duration of homeownership and the rate of wealth accumulation. All else equal, those who owned homes and owned for longer periods of time had significantly higher household net wealth by 2001. These results are compelling because house price appreciation over the period was near its long-run average while stock gains were above and real rent increases below their long-run averages. Hence, the findings are suggestive of a positive influence of ownership over long periods on net wealth, even during a period when alternative investments produced higher than normal returns and rents grew slowly. This is especially important because the overwhelmingly majority of households do not sell their homes shortly after buying them. In our sample, those who became owners typically owned for 7 years. Furthermore, most households that bought during a period of declining real home values in the early 1990s continued to own their homes for at least eight years and came out well ahead of those who did not own.     

Taxation and household portfolio composition: US evidence from the 1980s and 1990s

This paper explores the relationship between household marginal income tax rates, the set of financial assets that households own, and the portfolio shares accounted for by each of these assets. It analyzes data from the 1983, 1989, 1992, 1995, and 1998 Surveys of Consumer Finances and develops a new algorithm for imputing federal marginal tax rates to households in these surveys. The empirical findings suggest that marginal tax rates have important effects on asset allocation decisions. The probability that a household owns tax-advantaged assets, such as tax-exempt bonds or assets held in tax-deferred accounts, is positively related to its tax rate on ordinary income. In addition, the portfolio share invested in corporate stock, which is taxed less heavily than interest bearing assets, is increasing in the household’s ordinary income tax rate. Holdings of heavily taxed assets, such as interest-bearing accounts, decline as a share of wealth as a household’s marginal tax rate increases.     

中国居民资产配置效率的门限效应研究:金融约束视角

本文基于金融约束视角,结合微观调查数据,并运用门限回归法和两阶段最小二乘法,对我国居民资产配置效率的门限效应问题进行研究。结果表明,从流动性约束、房产持有及商业资产持有三个角度分析居民面临的金融约束,居民资产配置效率的非对称门限效应在不同样本中都显著存在。居民持有资产的风险水平越高,带来的投资收益增量部分越低。同时,持有房产在缓解居民金融约束的同时,资产风险增加对于居民资产配置收益的促进作用仍然下降,受流动性约束影响低的居民以及持有商业资产的居民均能够获得更高的资产配置收益。在不改变金融约束的框架下,以商业性资产替代房产作为主要资产种类能够从微观层面增强经济稳定性,降低系统性金融风险,优化收入结构,提升资产配置效率。     

我国城镇居民平均消费倾向与收入分配状况关系的实证研究

中国的有效需求不足现象近年来成为一个被普遍关注的问题,而居民消费需求不足更是成为关注的焦点。本文在前人研究的基础上,从标准的消费者预期效用最大化模型出发,推导出中国城镇居民的个体"短视"消费模型和总量消费模型;运用我国1985～2004年城镇居民消费、收入及其他相关数据,通过误差修正模型和对数线性模型分别对数据进行了计量分析,发现在我国现阶段,城镇居民收入分配差距的扩大引起了居民平均消费倾向的减小,且其长期影响尤为显著。在对计量结果进行分析的基础上,本文给出了若干政策建议。     

Is DNA fingerprinting the gold standard for estimation of adoption and impacts of improved lentil varieties?

In the early 1980s, disease susceptibility in short-season lentil landraces began to limit productivity in areas where relay cropping took place in Bangladesh. Since then, several improved high-yielding lentil varieties, which are resistant to rust and blight and suitable in the relay cropping system, have been released jointly by national and international research centers. This study used three methods, namely a panel of experts, a survey of 1000 households where the respondents named the variety they used, and DNA fingerprinting of seed samples collected from all lentil plots cultivated by survey households to estimate adoption. Double hurdle and instrumental variables regression methods were applied to the household survey and DNA fingerprinting data to identify determinants of adoption and measure their impacts. Of particular interest was whether estimates of adoption, determinants of adoption and impacts varied by method of variety identification. Results showed that the expert panel overestimated the adoption of more recent varieties while about 89% of the farmer-reported varieties were accurate, as verified by DNA fingerprinting. DNA fingerprinting appears to have little advantage for estimating the level of adoption in this case, where few varieties of lentils are found, local variety names do not exist, and most seed is obtained through a formal system. However, even under these conditions, determinants of adoption vary by identification method, and use of farmer-reported information on the variety can lead to erroneous conclusions about determinants of adoption. Because recent breeding efforts have focused on taste and cooking considerations, yield impacts were not significantly different from zero.     

Food counts. Measuring food consumption and expenditures in household consumption and expenditure surveys (HCES). Introduction to the special issue

This introductory paper presents the results of an international multi-disciplinary research project on the measurement of food consumption in national household surveys. Food consumption data from household surveys are possibly the single most important source of information on poverty, food security, and nutrition outcomes at national, sub-national and household level, and contribute building blocks to global efforts to monitor progress towards the major international development goals.The paper synthesizes case studies from a diverse set of developing and OECD countries, looking at some of the main outstanding research issues as identified by a recent international assessment of 100 existing national household surveys (Smith et al., 2014). The project mobilized expertise from different disciplines (statistics, economics, food security, nutrition) to work towards enhancing our understanding of how to improve the quality and availability of food consumption and expenditure data, while making them more valuable for a diverse set of users. The individual studies summarized in this paper analyze, both theoretically and empirically, how different surveys design options affect the quality of the data being collected and, in turn, the implications for statistical inference and policy analysis.The conclusions and recommendations derived from this collection of studies will be instrumental in advancing the methodological agenda for the collection of household level food data, and will provide national statistical offices and survey practitioners worldwide with practical insights for survey design, while providing poverty, food and nutrition policymakers with greater understanding of these issues, as well as improved tools for and better guidance in policy formulation.