The legal realist Robert Lee Hale offered a definition of freedom as a zero-sum game: each volitional freedom implies some degree of coercion over other people's freedom, and at the same time one's freedom is subject to some degree of control and coercion by others. The objective of our work is to develop this idea along with the theory of positional goods. This allows us to illustrate the externalities deriving from the ‘consumption' of freedom and detail the role of the lawmaker in accordance with the Halean contribution
This paper uses a unique data set on individual voting decisions to shed new light on gender gaps in policy making. Our analysis focuses on Switzerland, the world leader in direct democracy, where all citizens directly decide on a broad range of policies at the ballot box. Analysing all federal votes held between 1981 and 2003, we show that there are large gender gaps in the areas of health, environmental protection, defence spending and welfare policy. The gender gaps typically persist even conditional on socio-economic characteristics. We also find that female policy-makers have a substantial effect on the composition of public spending, but a small effect on the overall size of government
One of the main contributions of Ronald H. Coase was to demonstrate how mainstream economics was based on a contradictory amalgam of costly physical inputs and free institutional resources, and to give origin to the economics of institutions: each institution is a mode of allocation and organization of economic resources that is to be investigated. In particular, none of the institutions (including the market) is a free lunch. The Coasian approach regards institutions as costly substitutes and provides a fundamental starting point for comparative institutional analysis. However, Coase neglected two issues deriving from the observation that institutions are not cost-free. First, when institutions are costly, one should not only consider their possible substitutes but also how complementary institutions affect their costs, as well as the costs of the possible institutional substitutes. Second, the economic analysis should also take into account that the transition from one institutional setup to another cannot occur in costless meta-institutions. The initial conditions may substantially affect the final institutional arrangements. Both the novelty of Coase's approach and its limits were grossly undervalued. In particular, the costly institutions assumption requires a view of economics as a historical discipline
Value and salience are key variables for associative learning, decision-making, and attention. In this chapter we review definitions of value and salience, and describe human neuroimaging studies that dissociate these variables. Value increases with the magnitude and probability of reward but decreases with the magnitude and probability of punishment, whereas salience increases with the magnitude and probability of both reward and punishment. Moreover, salience may be particularly enhanced in situations with probabilistic as opposed to safe outcomes. At the behavioral level, both value and salience independently accelerate behavior. At the neural level, value signals arise in striatum, orbitofrontal and ventromedial prefrontal cortex, and superior parietal areas, whereas magnitude-based salience signals arise in the anterior cingulate cortex and the inferior parietal cortex. By contrast, probability-based salience signals have been found in the ventromedial prefrontal cortex. In conclusion, the related nature of value and salience stresses the importance of disentangling both variables experimentally.
This paper proposes a post-model selection inference procedure, called targeted undersmoothing, designed to construct uniformly valid confidence sets for a broad class of functionals of sparse high-dimensional statistical models. These include dense functionals, which may potentially depend on all elements of an unknown high-dimensional parameter. The proposed confidence sets are based on an initially selected model and two additionally selected models, an upper model and a lower model, which enlarge the initially selected model. We illustrate application of the procedure in two empirical examples. The first example considers estimation of heterogeneous treatment effects using data from the Job Training Partnership Act of 1982, and the second example looks at estimating profitability from a mailing strategy based on estimated heterogeneous treatment effects in a direct mail marketing campaign. We also provide evidence on the finite sample performance of the proposed targeted undersmoothing procedure through a series of simulation experiments.
Many universities around the world rely on student instructors—current bachelor’s and master’s degree students—for tutorial teaching, yet we know nothing about their effectiveness. In a setting with random assignment of instructors to students, we show that student instructors are almost as effective as senior instructors at improving their students’ short- and longer-run academic achievement and labor market outcomes. We find little heterogeneity across different course types, student characteristics, or instructors’ personal academic quality. Our results suggest that the use of student instructors can serve as an effective tool for universities to reduce their costs with negligible negative effects on students.
The maximum likelihood estimator for the regression coefficients, β, in a panel binary response model with fixed effects can be severely biased if N is large and T is small, a consequence of the incidental parameters problem. This has led to the development of conditional maximum likelihood estimators and, more recently, to estimators that remove the O(T–1) bias in β^. We add to this literature in two important ways. First, we focus on estimation of the fixed effects proper, as these have become increasingly important in applied work. Second, we build on a bias-reduction approach originally developed by Kosmidis and Firth (2009) for cross-section data, and show that in contrast to other proposals, the new estimator ensures finiteness of the fixed effects even in the absence of within-unit variation in the outcome. Results from a simulation study document favourable small sample properties. In an application to hospital data on patient readmission rates under the 2010 Affor
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