2000
DOI: 10.3386/t0262
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Treatment Effects for Discrete Outcomes when Responses to Treatment Vary Among Observationally Identical Persons: An Application to Norwegian ...

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Cited by 46 publications
(49 citation statements)
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“…1 To be included, an individual must be between 21 and 65 years of age (inclusive) during the year and have an IQ score above 26 and below 75. Individuals whose primary diagnosis was autism were excluded.…”
Section: Data and Variablesmentioning
confidence: 99%
“…1 To be included, an individual must be between 21 and 65 years of age (inclusive) during the year and have an IQ score above 26 and below 75. Individuals whose primary diagnosis was autism were excluded.…”
Section: Data and Variablesmentioning
confidence: 99%
“…Our motivation for studying this topic stems from the literature on the intergenerational transmission of welfare use. Several studies have established a strong positive correlation in welfare use across generations within a family for the US (e.g., Antel (1992), An et. al.…”
Section: ) Previous Literaturementioning
confidence: 99%
“…To the extent that these controls capture all the individual characteristics associated with both education and welfare outcomes, any remaining estimated correlation between completing high school and welfare outcomes reflects a causal impact of education in reducing future welfare use. Second, we use an estimator described in Aakvik, Heckman and Vytlacil (2000) in which we allow for an unobservable factor which may affect both high school graduation and welfare outcomes. This estimator, in principle, generates consistent estimates on its own because it directly incorporates a common unobservable factor, but we implement this estimator using exclusion restrictions that form our third (instrumental variables) approach to the identification problem.…”
Section: Breaking the Cycle? The Effect Of Education On Welfare Receimentioning
confidence: 99%
“…We therefore specify a discrete-choice, latent index model where the unobservables are generated by a normal one factor structure based on the framework discussed above and earlier formulated by Aakvik et al (2000). We assume that the error terms in equation (1) - (3) are governed by the following one factor structure…”
Section: Model With Discrete Outcome Measurementioning
confidence: 99%
“…This is a sensitive point since it is believed that unobserved factors such as aptitude and ambition play an important role in the selection to the program, but are not easily observed or approximated. Our choice of model is therefore a latent index sample selection model formulated by Aakvik et al (2000). This model incorporates the selection process and allows for unobserved factors to explain the outcome in each state, as well as in the selection process.…”
Section: Introductionmentioning
confidence: 99%