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Quantifying the externalities of renewable energy plants using wellbeing data: the case of biogas
Krekel, Christian; Rechlitz, Julia; Rode, Johannes; … - 2020
Although there is strong support for renewable energy plants, they are often met with local resistance. We quantify the externalities of renewable energy plants using wellbeing data. We focus on the example of biogas, one of the most frequently deployed technologies besides wind and solar. To...
Persistent link: https://www.econbiz.de/10012389088
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Estimating selection models without instrument with Stata
D'Haultfœuille, Xavier; Maurel, Arnaud; Qiu, Xiaoyun; … - 2019
This article presents the eqregsel command for implementing the estimation and bootstrap inference of sample selection models via extremal quantile regression. The command estimates a semiparametric sample selection model without instrument or large support regressor, and outputs the point...
Persistent link: https://www.econbiz.de/10012037854
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Nonseparable sample selection models with censored selection rules : an application to wage decompositions
Fernández-Val, Iván; Vuuren, Aico van; Vella, Francis - 2018
We consider identification and estimation of nonseparable sample selection models with censored selection rules. We employ a control function approach and discuss different objects of interest based on (1) local effects conditional on the control function, and (2) global effects obtained from...
Persistent link: https://www.econbiz.de/10011795543
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Bounds on average and quantile treatment effects on duration outcomes under censoring, selection, and noncompliance
Blanco, German; Chen, Xuan; Flores, Carlos; … - 2018
addressing three pervasive problems simultaneously: self-selection into the spell of interest, endogenous censoring of the … the effects. Notably, the proposed bounds do not impose the independent censoring assumption - which is commonly used to … address censoring but is likely to fail in important settings - or exclusion restrictions to address endogeneity of censoring …
Persistent link: https://www.econbiz.de/10011924890
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A general weighted average representation of the ordinary and two-stage least squares estimands
Słoczyński, Tymon - 2018
It is standard practice in applied work to study the effect of a binary variable ("treatment") on an outcome of interest using linear models with additive effects. In this paper I study the interpretation of the ordinary and two-stage least squares estimands in such models when treatment effects...
Persistent link: https://www.econbiz.de/10011924924
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Overtime work, dual job holding and taxation
Frederiksen, Anders; Krogh Graversen, Ebbe; Smith, Nina - 2001
Traditionally, labour supply data do not include much information on hours and wages in secondary job or overtime work. In this paper, we estimate labour supply models based on survey information on hours and wages in overtime work and second job which is merged to detailed register information...
Persistent link: https://www.econbiz.de/10011402763
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Robust estimation of wage dispersion with censored data : an application to occupational earnings risk and risk attitudes
Pollmann, Daniel; Dohmen, Thomas; Palm, Franz C. - 2012
with the wage dispersion of an individual's occupation. -- dispersion estimation ; earnings risk ; censoring ; quantile …
Persistent link: https://www.econbiz.de/10009534948
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Treatment evaluation with multiple outcome periods under endogeneity and attrition
Frölich, Markus; Huber, Martin - 2014
This paper develops a nonparametric methodology for treatment evaluation with multiple outcome periods under treatment endogeneity and missing outcomes. We use instrumental variables, pre-treatment characteristics, and short-term (or intermediate) outcomes to identify the average treatment...
Persistent link: https://www.econbiz.de/10010249397
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Modelling heaped duration data : an application to neonatal mortality
Arulampalam, Wiji; Corradi, Valentina; Gutknecht, Daniel - 2014
In 2005, the Indian Government launched a conditional cash-incentive program to encourage institutional delivery. This paper studies the effects of the program on neonatal mortality using district-level household survey data. We model mortality using survival analysis, paying special attention...
Persistent link: https://www.econbiz.de/10010409880
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Extremal quantile regressions for selection models and the black-white wage gap
D'Haultfœuille, Xavier; Maurel, Arnaud; Zhang, Yichong - 2014
We consider the estimation of a semiparametric location-scale model subject to endogenous selection, in the absence of an instrument or a large support regressor. Identification relies on the independence between the covariates and selection, for arbitrarily large values of the outcome. In this...
Persistent link: https://www.econbiz.de/10010369818