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This volume, sponsored by the European Society for the History of Economic Thought, was shaped at the University of Bologna where earlier drafts of the 16 essays it contains were presented at a Conference on institutions, markets and the division of labor. Like any collection of essays, especially if they come after a conference, the quality of the contributions varies, but it must be said that the average exceeds the usual standard. Moreover, although the title “Knowledge, Social Institutions and the Division of Labour” is broad enough to accommodate a diversity of subjects, there is a degree of congruity among the different contributions. The book is divided in three parts, “Rationality, Communication and Connecting Principles” (comprising four essays), “Social Interaction and Moral Sentiments” (comprising five essays) and “Division of Labour, Patterns of Interdependence and Social Institutions” (comprising seven essays).

I propose a general framework for instrumental variables estimation of the average treatment effect in the correlated random coefficient model, focusing on the case where the treatment variable has some discreteness. The approach involves adding a particular function of the exogenous variables to a linear model containing interactions in observables, and then using instrumental variables for the endogenous explanatory variable. I show how the general approach applies to binary and Tobit treatment variables, including the case of multiple treatments.

In this chapter, we evaluate the employment effects of job-creation schemes (JCS) on the participating individuals in Germany. JCS are a major element of active labour market policy in Germany and are targeted at long-term unemployed and other hard-to-place individuals. Access to very informative administrative data of the Federal Employment Agency justifies the application of a matching estimator and allows us to account for individual (group-specific) and regional effect heterogeneity. We extend previous studies for Germany in four directions. First, we are able to evaluate the effects on regular (unsubsidised) employment. Second, we observe the outcomes of participants and non-participants for nearly three years after the programme starts and can therefore analyse medium-term effects. Third, we test the sensitivity of the results with respect to various decisions that have to be made during implementation of the matching estimator. Finally, we check if a possible occurrence of a specific form of ‘unobserved heterogeneity’ distorts our interpretation. The overall results are rather discouraging, since the employment effects are negative or insignificant for most of the analysed groups. One exception are long-term unemployed individuals who benefit from participation at the end of our observation period. Hence, one policy implication is to address the programmes to this problem group more closely.

The estimation of the effects of treatments – endogenous variables representing everything from child participation in a pre-kindergarten program to adult participation in a job-training program to national participation in a free trade agreement – has occupied much of the theoretical and applied econometric research literatures in recent years. This volume brings together a diverse collection of papers on this important topic by leaders in the field from around the world. This collection draws attention to several key facets of the recent evolution in this literature.

In this chapter, we characterise the selection into parenthood for men and women separately and estimate the effects of motherhood and fatherhood on wages. We apply propensity score matching exploiting an extensive high-quality register-based data set augmented with family background information. We estimate the net effects of parenthood and find that mothers receive 7.4% lower average wages compared to non-mothers, whereas fathers gain 6.0% in terms of average wages from fatherhood.