Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021ECO003.
In the context of the international climate change mitigation efforts, several countries have been scaling up their efforts to decarbonize their economies and energy systems. The restructuring of the electricity systems has brought about new challenges, among which the acceptance of the new infrastructures and technologies, and the need of ensuring an optimal level of security of supply. This...
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In: Energy economics, 2021, vol. 97, no. May, p. 16 p
A consumer-centric, market-based approach to the security of electricity supply has been recognized as increasingly important in the context of the energy transition. Nonetheless, there is no clear-cut evidence regarding the drivers of consumer preferences toward security and the perceived trade-offs between security and sustainability. Using stated preference data, we develop a discrete...
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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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In: Journal of Business and Economic Statistics, 2019, vol. 37, no. 4, p. 736-748
This article proposes a fully nonparametric kernel method to account for observed covariates in regression discontinuity designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates reduces the asymptotic variance and allows estimating the treatment effect at the rate of one- dimensional nonparametric regression, irrespective of the...
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In: Journal of Applied Econometrics, 2020, p. 481-504
This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, based on two instrumental variables. Using a discrete instrument for the treatment and an instrument with rich (in general continuous) support for non-response/attrition, we identify the average treatment effect on compliers as well as the...
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In: Transportation, 2014, vol. 41, no. 4, p. 873-888
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In: Journal of business & economic statistics, 2015, vol. 33, no. 2, p. 179-191
The decomposition of gender or ethnic wage gaps into explained and unexplained components (often with the aim to assess labor market discrimination) has been a major research agenda in empirical labor economics. This article demonstrates that conventional decompositions, no matter whether linear or nonparametric, are equivalent to assuming a (probably too) simple model of mediation (aimed at...
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In: Economics letters, 2014, vol. 123, no. 2, p. 220-223
The nonparametric identification of the local average treatment effect (LATE) hinges on the satisfaction of three instrumental variable assumptions: (1) Unconfounded assignment of the instrument, (2) no average direct effect of the instrument on the outcome within compliance types (exclusion restric- tion), and (3) weak monotonicity of the treatment in the instrument. While (1) often appears...
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In: Quality & Quantity, 2012, vol. 46, no. 6, p. 1947-1952
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In: The Journal of Economic Inequality, 2007, vol. 5, no. 1, p. 21-37
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