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Abstract.Firing costs, together with the legislative and regulatory frameworks governing employment relations, are often blamed for poor labour market outcomes. Yet, research on the economic impacts of these costs is inconclusive. There has been much focus on functional assumptions and the significance of parameters, but very little on the quality and precision of the cost measures upon which most results hinge. Reviewing the indirect and direct measurement methods commonly used, the author argues that direct quantitative methods, rarely used in research, are much needed to complement more popular indirect measures. A recent survey experiment conducted in Australia illustrates this point.

The paper analyses the arbitration of dismissal disputes by Australian labour courts over a 15 years' time span characterized by two major legal reforms to unfair dismissal statutes. We isolate two channels by which we think the social values of the Federal government affected the decisions of the courts: (i) through changes to established rules (the legal standards guiding decisions) and (ii) through labour court appointments (changing the composition of decision-makers). We study these two questions by analysing the probability of plaintiffs' victory in Australian labour court, using a panel of 81 judges and 2,223 decisions. We test for and subsequently exploit the randomized matching of labour court judges with unfair dismissal cases. We also test for and address the Priest-Klein selection effect, which is known to potentially invalidate analysis of trial cases. Using several model specifications we find significant effects from both channels: statutory reforms and judges' work background have strong and significant effects on case outcomes.

In 2005–06 the Australian government announced the establishment of 65 Family Relationship Centres (FRCs) – a 'gateway' service assisting separating couples to reach agreement about child custodial arrangements without recourse to courts. The use of a multi‐round competitive contracting regime for the purpose of selecting service providers gave rise to a number of tensions amongst not‐for‐profit organisations (NFPOs) which, to a degree, compromised the full realisation of stated public policy aims. Reporting on fieldwork conducted with a sample of FRC operators, industry representatives and key government officials this article evaluates the extent to which the case of FRCs conforms to critiques commonly aired in the social policy literature that attribute various forms of policy failure and/or social capital depletion to the competitive contracting of human services within quasi‐markets. Although the competitive selection process imposed significant costs on the NFPOs involved, the program also exhibited substantial collaborative and collegial behaviours between government and NFPOs, thus diverging from the critique usually portrayed in the literature.

Following legislation, the assessment of the environmental risks of 30000–100000 chemical substances is required for their registration dossiers. However, their behavior in the environment and their transfer to environmental components such as water or atmosphere are studied for only a very small proportion of the chemical in laboratory tests or monitoring studies because it is time-consuming and/or cost prohibitive Therefore, the objective of this work was to develop a new methodology, TyPol, to classify organic compounds, and their degradation products, according to both their behavior in the environment and their molecular properties. The strategy relies on partial least squares analysis and hierarchical clustering. The calculation of molecular descriptors is based on an in silico approach, and the environmental endpoints (i.e. environmental parameters) are extracted from several available databases and literature.The classification of 215 organic compounds inputted in TyPol for this proof-of-concept study showed that the combination of some specific molecular descriptors could be related to a particular behavior in the environment. TyPol also provided an analysis of similarities (or dissimilarities) between organic compounds and their degradation products. Among the 24 degradation products that were inputted, 58% were found in the same cluster as their parents. The robustness of the method was tested and shown to be good. TyPol could help to predict the environmental behavior of a ''new'' compound (parent compound or degradation product) from its affiliation to one cluster, but also to select representative substances from a large data set in order to answer some specific questions regarding their behavior in the environment.