Artikel
Counterfactual distributions in bivariate models: A conditional quantile approach
This paper proposes a methodology to incorporate bivariate models in numerical computations of counterfactual distributions. The proposal is to extend the works of Machado and Mata (2005) and Melly (2005) using the grid method to generate pairs of random variables. This contribution allows incorporating the effect of intra-household decision making in counterfactual decompositions of changes in income distribution. An application using data from five latin american countries shows that this approach substantially improves the goodness of fit to the empirical distribution. However, the exercise of decomposition is less conclusive about the performance of the method, which essentially depends on the sample size and the accuracy of the regression model.
- Language
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Englisch
- Bibliographic citation
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Journal: Econometrics ; ISSN: 2225-1146 ; Volume: 3 ; Year: 2015 ; Issue: 4 ; Pages: 719-732 ; Basel: MDPI
- Classification
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Wirtschaft
Estimation: General
Semiparametric and Nonparametric Methods: General
Statistical Simulation Methods: General
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- Subject
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counterfactual distributions
quantile regression
numeric integration
grid method
labor market
income distribution
- Event
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Geistige Schöpfung
- (who)
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Alejo, Javier
Badaracco, Nicolás
- Event
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Veröffentlichung
- (who)
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MDPI
- (where)
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Basel
- (when)
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2015
- DOI
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doi:10.3390/econometrics3040719
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Alejo, Javier
- Badaracco, Nicolás
- MDPI
Time of origin
- 2015
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Bounds on counterfactual distributions under semi-monotonicity constraints
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Some R graphics for bivariate distributions
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Almost opposite regression dependence in bivariate distributions
Basic Conditional Reasoning : How Children Mimic Counterfactual Reasoning
Exogenous impact and conditional quantile functions
Bounds on counterfactual distributions under semi-monotonicity constraints
Kernel-Smoothed Conditional Quantiles of Correlated Bivariate Discrete Data
Branching space-time, modal logic and the counterfactual conditional
On the u-th Geometric Conditional Quantile
Inference on counterfactual distributions
Inference on counterfactual distributions
Inference on counterfactual distributions
Some R graphics for bivariate distributions
Maximum likelihood analysis for bivariate exponential distributions
Almost opposite regression dependence in bivariate distributions
Basic Conditional Reasoning : How Children Mimic Counterfactual Reasoning
Exogenous impact and conditional quantile functions
Bounds on counterfactual distributions under semi-monotonicity constraints
Kernel-Smoothed Conditional Quantiles of Correlated Bivariate Discrete Data
Branching space-time, modal logic and the counterfactual conditional