In: Foundations of Physics, 2021, vol. 51, no. 2, p. 20
Spontaneous collapse theories of quantum mechanics turn the usual Schrödinger equation into a stochastic dynamical law. In particular, in this paper I will focus on the GRW theory. Two philosophical issues that can be raised about GRW concern (a) the ontology of the theory, in particular the nature of the wave function and its role within the theory, and (b) the interpretation of the objective...
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In: Annals of the Institute of Statistical Mathematics, 2015, vol. 67, no. 4, p. 649-671
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In: Empirical Economics, 2015, vol. 49, no. 1, p. 1-31
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In: Theory and Decision, 2015, vol. 78, no. 2, p. 189-208
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In: Review of Philosophy and Psychology, 2015, vol. 6, no. 4, p. 761-778
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In: Machine Learning, 2015, vol. 99, no. 3, p. 373-409
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In: The Journal of Law, Economics, and Organization, 2018, vol. 34, no. 2, p. 162-195
We design two laboratory experiments to analyze the causal effects of competition on step-by-step innovation. Innovations result from costly R&D investments and move technology up one step. Competition is inversely measured by the ex post rents for firms that operate at the same technological level, i.e. for neck-and-neck firms. First, we find that increased competition leads to a significant...
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In: Journal of Educational and Behavioral Statistics, 2012, vol. 37, no. 3, p. 443-474
As any empirical method used for causal analysis, social experiments are prone to attrition which may flaw the validity of the results. This paper considers the problem of partially missing outcomes in experiments. Firstly, it systematically reveals under which forms of attrition - in terms of its relation to observable and/or unobservable factors - experiments do (not) yield causal...
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In: Journal of Business and Economic Statistics, 2019, p. 1-60
We propose a novel approach for causal mediation analysis based on changesin- changes assumptions restricting unobserved heterogeneity over time. This allows disentangling the causal effect of a binary treatment on a continuous outcome into an indirect effect operating through a binary intermediate variable (called mediator) and a direct effect running via other causal mechanisms. We identify...
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In: Journal of Econometric Methods, 2019, vol. 8, no. 1, p. 1-20
Using a sequential conditional independence assumption, this paper discusses fully nonparametric estimation of natural direct and indirect causal effects in causal mediation analysis based on inverse probability weighting. We propose estimators of the average indirect effect of a binary treatment, which operates through intermediate variables (or mediators) on the causal path between the...
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