Administrative Transaction Data

The value of administrative transaction data, such as financial transactions, credit card purchases, telephone calls, and retail store scanning data, to study social behaviour has long been recognised. Now new types of transactions data made possible by advances in cyber-technology have the potential to further exland social scientists’ research frontier. This chapter discusses the potential for such data to be included in the scientific infrastructure. It discusses new approaches to data dissemination, as well as the privacy and confidentiality issues raised by such data collection. It also discusses the characteristics of an optimal infrastructure to support the scientific analysis of transactions data.transactions data; administrative data; cybertechnology; privacy and confidentiality; virtual organizations

Administrative Data and Economic Policy Evaluation

This paper looks at the strengths and weaknesses of using administrative data for economic policy evaluation. It does this by looking at how school administrative data has been used to assess school effectiveness and the impact of month of birth on educational outcomes with varying degrees of success. It concludes that if there is some natural experiment in the way the education is delivered or an education initiative is introduced, then schools’ administrative data offers the opportunity of answering questions of extreme policy interest in a robust way – even without rich background information on the students and their families.administrative data, evaluation methods, school league tables, month of birth, natural experiment

Creating regional crime statistics from administrative data

Abstract: The only publicly-available information on the geographical distribution of crime in New Zealand is offence statistics for police administrative units. We investigate whether existing data can be used to construct geographical crime statistics that correspond to regional councils, territorial authorities, and urban areas. Methods We build experimental output geographies from police stations, the smallest administrative unit for which there are long time series of offence statistics. We develop three rules for assigning police stations to the new geographies: one based on population, one based on land area, and one based on both. We assess the performance of these rules by calculating the proportion of national land area and population that is misclassified, and the number of target units that do not receive at least one police station. We also look at whether regional statistics on serious assaults are sensitive to the choice of allocation rule. Findings The new output geographies approximate the target geographies well. For instance, our preferred rule assigns 96 percent of the national population to the correct territorial authority. Moreover, a case study of serious assaults suggests that most regional crime statistics are not sensitive to the choice of rule. Conclusion The new output geographies perform sufficiently well that they could, if required, be used to produce regional crime statistics

Using State Administrative Data to Measure Program Performance

This paper uses administrative data from Missouri to examine the sensitivity of job training program impact estimates based on alternative nonexperimental methods. In addition to simple regression adjustment, we consider Mahalanobis distance matching and a variety of methods using propensity score matching. In each case, we consider estimates based on levels of post-program earnings as well as difference-in-difference estimates based on comparison of pre and post-program earnings. Specification tests suggest that the difference-in-difference estimator may provide a better measure of program impact. We find that propensity score matching is generally most effective, but the detailed implementation of the method is not of critical importance. Our analyses demonstrate that existing data available at the state level can be used to obtain useful estimates of program impact.Noexperimental Methods, Matching, Difference-in-Difference

Widening participation in higher education: analysis using linked administrative data

This paper makes use of newly linked administrative data to better understand the determinants of higher education participation amongst individuals from socio-economically disadvantaged backgrounds. It is unique in being able to follow two cohorts of students in England - those who took GCSEs in 2001-02 and 2002-03 - from age 11 to age 20. The findings suggest that while there remain large raw gaps in HE participation (and participation at high-status universities) by socio-economic status, these differences are substantially reduced once controls for prior attainment are included. Moreover, these findings hold for both state and private school students. This suggests that poor attainment in secondary schools is more important in explaining lower HE participation rates amongst students from disadvantaged backgrounds than barriers arising at the point of entry into HE. These findings highlight the need for earlier policy intervention to raise HE participation rates amongst disadvantaged youth.

Linking Business Ownership and Perceived Administrative Complexity: An Empirical Analysis of 18 OECD Countries

Administrative burdens are known to be a major business constraint for incumbent SMEs in modern economies. Far less is known about the influence of these burdens on the startup of new firms. The current paper examines to what extent perceived administrative complexity related to starting a new business influences the number of business owners across 18 OECD countries. We test this relationship combining data on business ownership from EIM's COMPENDIA data base and data on perceived administrative complexity from the Eurobarometer public opinion surveys coordinated by the European Commission. Our results suggest that perceived administrative complexity has a negative impact on the level of business ownership. However, the effect is not immediate but rather seems to emerge in the long run.

Patient safety indicators for England from hospital administrative data: case-control analysis and comparison with US data

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.The Healthcare Commission received a small grant from the Health and Social Care Information Centre to support the initial recoding work