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The aims of this paper are to measure the impacts of subsidy, work experience and training programmes on New Zealand male registered unemployed, and to examine the sensitivity of these estimates to the amount of time that participants are followed after an intervention.

The impact of an intervention on those who participate in an active labour market programme is the key question addressed in this paper. A New Zealand panel data set is used, which includes both intervention and individual characteristics of the unemployed. Both a potential outcomes and single nearest‐neighbour difference‐in‐differences matching approach are used to estimate the impact of participation.

The key findings are that work experience programmes are the most effective in the short‐term. Training programmes are the least effective. Programmes are more effective for the long‐term unemployed than for short‐term unemployed. The results are sensitive to the point of time examined in the post‐intervention period, with short‐term benefits disappearing completely three years after the intervention.

This paper examines the relative effect of active labour market programmes in New Zealand using a consistent evaluation framework. The sensitivity of the results to different time periods, and matching estimator specifications are examined.

To introduce the papers which make up a special issue of IJM on labour market intervention.

Briefly describes each of the five papers which comprise this issue of IJM.

Notes that the study contexts of the papers are New Zealand, the UK, Sweden, West Germany, and 14 member countries of the EU.

The papers provide an international overview of contemporary, empirical findings on the effectiveness of various types of labour market intervention.

The awareness of probability was observed in ancient cultures through the discovery of primitive dice games made with animal bones. The history of analytics in the workplace, as it is currently known (defined as predictive analytics), probably started in ancient Roman times, when the concept of insurance was first created. While the previous example showed that analytics for business had been around for some time, it is only relatively recently that there is an increased emphasis on the use of analytics in the modern firm. Credit card firms and retail catalog companies relied on analytics to drive their business models, for most of the latter half of the twentieth century. The use of advanced analytics for business also grew around the Millennium since the widespread use of data warehousing and relational databases on client servers. Moreover, Machine Learning and Artificial Intelligence Techniques, which have been around for many decades, have had very few breakthrough successful applications up until recently when cloud computing and being able to take advantage of the infrastructure of companies, such as Amazon and Google, with their Cloud Services enabled these algorithms to be used to their full extent in firms. This powerful infrastructure availability coupled with BIG DATA is creating breakthrough applications across many business models on a consistent basis. This chapter explores the use of advanced analytics across different business functional areas. It also introduces some breakthrough models, which include Netflix, Pandora, eHarmony, Zillow, and Amazon, and explores how these are not only changing the lives of consumers but also changing the nature of the workplace and creating new issues for firms such as data protection and liabilities for the actions of automated algorithms.

Increasingly, countries around the world are reforming their traditional ‘special educational needs’ funding models, many of which contradict the overarching principles of inclusive education as set out in the United Nations Convention on the Rights of Persons with a Disability (UNCRPD). There is growing awareness across countries that the way education systems are financed directly shapes the extent to which schools can be inclusive. Spiralling costs have also influenced governments who have begun calling for ‘cost control’ and greater transparency and accountability in how resources are distributed and monies are spent. In Ireland, calls for a more equitable resource model for students with disabilities in mainstream education resulted in the introduction of a new system of funding which removed the need for diagnosis to receive supports. However, since ratification of the UNCRPD in 2018, Ireland's system of special education is being considered for full reform with the possibility of moving to a system of inclusive education and the removal of special schools and classes. This raises the question: can two separate funding streams, one for general education and one for special education ever exist in an inclusive system? Having one funding model for all students, although the logical choice, is the source of much concern among parents and disability advocates, many of whom fear it will lead to children with disabilities ‘falling through the cracks’ and used by government as a mechanism to reduce spending overall.

Focusing on the family as the central unit of analysis, the purpose of this paper is to examine how entrepreneurial families, with more than one owner/entrepreneur, utilise social capital in a challenging institutional environment.

The empirical focus of this paper is the institutional context of Mexico and how it impacts on entrepreneurial families and their access to social capital. The authors employ an in-depth qualitative approach to understand entrepreneurs’ perspective as being part of an entrepreneurial family. A total of 36 semi-structured interviews were conducted with multiple respondents of each entrepreneurial family.

This study shows that social capital allows members in the entrepreneurial family to access a wider pool of resources to utilise to benefit their ventures, while also helping them to operate in a challenging institutional environment. It also illustrates how social capital is used to overcome institutional asymmetries.

This paper contributes to research by examining the links between institutions and entrepreneurial families through a focus on social capital. It provides a nuanced understanding of how the entrepreneurial family serves as an intermediary through which social capital gives family members access to resources and capabilities to enable their pursuit of entrepreneurial endeavours and overcome the institutional challenges they face in Mexico.