2002
DOI: 10.1111/1468-0262.00277
|View full text |Cite
|
Sign up to set email alerts
|

Independence, Monotonicity, and Latent Index Models: An Equivalence Result

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

4
349
0

Year Published

2007
2007
2023
2023

Publication Types

Select...
7
1
1

Relationship

1
8

Authors

Journals

citations
Cited by 423 publications
(358 citation statements)
references
References 18 publications
4
349
0
Order By: Relevance
“…33 Measuring the unemployment level during the year on a scale from 0 to 1000, high school graduates with high level Math have an average unemployment level of 15.6 below that of other high school graduates, i.e. they are on average unemployed 1.56% less of the year, cf.…”
Section: Robustness Testsmentioning
confidence: 99%
“…33 Measuring the unemployment level during the year on a scale from 0 to 1000, high school graduates with high level Math have an average unemployment level of 15.6 below that of other high school graduates, i.e. they are on average unemployed 1.56% less of the year, cf.…”
Section: Robustness Testsmentioning
confidence: 99%
“…They refer to this as a monotonicity assumption. Vytlacil (2002) points out that this is implied by the latent index model when the index ϕ(Z i ) is separable from ν i as we assumed in equation (5.6). As is implied by equation (5.7), increasing the index ϕ(Z i ) will cause some people to switch from hunting to fishing, but not the reverse.…”
Section: Imbens and Angristmentioning
confidence: 97%
“…This can be done using fairly standard parametric methods for estimating selection models, or using a more recent non-parametric approaches to the same problem. Vytlacil (2002) shows that the monotonicity and independence assumptions supporting the interpretation of standard IV estimates of the effect of a particular program (such as attendance of upper secondary school) as local average treatment effects, are the same as the assumptions underlying a standard non-parametric selection model, and thus the two are equivalent. Vytlacil (2001a, 2005) explain how to estimate such a model using the method of Local Instrumental Variables, which we apply in this paper, together with more parametric estimates of the same model.…”
mentioning
confidence: 90%