Experts,ideas, and policy change: the Russell Sage Foundation and small loan reform, 1909–1941

Between 1909 and 1941, the Russell Sage Foundation (RSF) was actively involved in crafting and lobbying for policy solutions to the pervasive problem of predatory lending. Using a rich assortment of archival records, I build upon political learning theory by demonstrating how institutional conditions and political pressures – in addition to new knowledge gained through scientific study and practical experience – all contributed to the emergence and development of RSF experts’ policy ideas over the course of this 30-year period. In light of these findings, I suggest that policy ideas and political interests are mutually constitutive, and that the notion that ideas must be shown to operate independent of interests in order to “prove” that they matter in policymaking is misguided. Furthermore, I discuss the implications of the remarkable success of RSF’s policy proposals for current understandings of institutional change. In particular, I argue that the passage of RSF’s controversial Uniform Small Loan Law in 34 states suggests that political actors’ collective agency can produce significant policy reforms in a context of normal policymaking without the intervention of major destabilizing events.

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Extreme ranking analysis in robust ordinal regression

We extend the principle of robust ordinal regression with an analysis of extreme ranking results. In our proposal, we consider the whole set of instances of a preference model that is compatible with preference information provided by the DM. We refer to both, the well-known UTA^GMS method, which builds the set of general additive value functions compatible with DM's preferences, and newly introduced in this paper PROMETHEE^GKS, which constructs the set of compatible outranking models via robust ordinal regression. Then, we consider all complete rankings that follow the use of the compatible preference models, and we determine the best and the worst attained ranks for each alternative. In this way, we are able to assess its position in an overall ranking, and not only in terms of pairwise comparisons, as it is the case in original robust ordinal regression methods. Additionally, we analyze the ranges of possible comprehensive scores (values or net outranking flows). We also discuss extensions of the presented approach on other multiple criteria problems than ranking. Finally, we show how the presented methodology can be applied in practical decision support, reporting results of three illustrative studies.     

Begegnung als ethische Maxime und Intervention im Coaching

Just as there is no universal understanding of what constitutes Coaching, there are no generally accepted ethical standards within Coaching. Opinions as to ethics within Coaching spring largely from the various ??Schools?? which transmit Coaching methods. Coaches working with J. L. Moreno??s Psychodrama follow the ethical and philosophical outlook contained in the analysis of creativity, spontaneity, the ??Social Atom?? and in the method, process orientated ??Encounter?? as understood by Moreno and Buber. That which they have internalised as ethical maxim and the Encounter method, is also understood to be a fundamental intervention.     

Der Einfluss von Kognition und Affekt auf Unternehmensgründungsentscheidungen: Eine vergleichende Analyse von Angestellten und Unternehmern

The relationship between individuals?? entrepreneurial behavior and objective situational characteristics of an entrepreneurial opportunity??individual-opportunity nexus??lies in the focus of entrepreneurship research. The role of subjective appraisals and affective influences in the pre-entrepreneurial process was neglected in this context so far. On the basis of a questionnaire experiment with two different samples of employees and entrepreneurs, our results confirm central assumptions of cognitive appraisal and emotion theories. The subjective appraisals of objective entrepreneurial opportunities better predict entrepreneurial evaluation and exploitation decisions than the objective characteristics of the entrepreneurial opportunity. Furthermore, the results show in addition to an inverse direct effect of negative affect that the relationship between the entrepreneurial evaluation and exploitation is negatively moderated by negative affect. Our analyses indicate that the two subsamples show differences in their cognitive processes, but that they are still generally comparable. The affective influences on the pre-entrepreneurial process, however, demonstrate no group specific differences. These results extend the individual-opportunity-nexus-paradigm that is based on objective characteristics by examining the meaning of subjective appraisals and affective reactions and therefore the intersection of individuals and entrepreneurial opportunities.     

Estimating Traffic Emissions Using Demographic and Socio-Economic Variables in 18 Chilean Urban Areas

A macro-scale methodology for vehicle emissions estimation is described. The methodology is based on both correlations between activity level and PM, CO, THC and NO _x vehicle emissions and relationships between demographic and socio-economic variables and transportation activity level. First, pollutant emissions were correlated with transportation activity, expressed as vehicle-km/year, using existing data collected from mobile sources emission inventories in nine urban cities of Chile. Second, demographic and socio-economic variables were pre-selected from those that could intuitively be correlated with vehicle activity level and considering the data availability. Using the individual R ² correlation coefficient as variable selection criterion, population, the number of vehicles, fuel consumption, gross domestic product, average family incomes and road kilometers were finally chosen. A different set of explicative variables was considered for different vehicle categories, based on the selection criterion above mentioned. Then, correlation functions between these variables and transport activity were obtained by non-linear Gauss–Newton least square method. This methodology was applied to eighteen provinces of the country obtaining total annual emission for mobile sources, divided into six main vehicles categories.     

The Capability Approach and Fuzzy Poverty Measures: An Application to the South African Context

One way of making the capability approach (CA) operational uses fuzzy poverty measures. In this paper, we present a new approach to applying these measures in the South African context using responses to a questionnaire on ‘The Essentials of Life’ in conjunction with a methodology for dealing with the vagueness of poverty. Our results suggest very low cut-offs for people or households to classify as definitely poor for some social indicators. These cut-offs are far lower than those Klasen used in his application of the CA. The attempt to apply the CA using Cheli and Lemmi’s ‘totally fuzzy and relative’ poverty measure in conjunction with our approach to specifying cut-offs can lead to incoherence. This measure can, nonetheless, be useful when social indicators have a ‘relativist component’. While the Cerioli and Zani measure does not lead to such incoherence, it also has a serious weakness.