Arbeitspapier
Counting defiers
The LATE monotonicity assumption of Imbens and Angrist (1994) precludes "defiers," individuals whose treatment always runs counter to the instrument, in the terminology of Balke and Pearl (1993) and Angrist et al. (1996). I allow for defiers in a model with a binary instrument and a binary treatment. The model is explicit about the randomization process that gives rise to the instrument. I use the model to develop estimators of the counts of defiers, always takers, compliers, and never takers. I propose separate versions of the estimators for contexts in which the parameter of the randomization process is unspecified, which I intend for use with natural experiments with virtual random assignment. I present an empirical application that revisits Angrist and Evans (1998), which examines the impact of virtual random assignment of the sex of the first two children on subsequent fertility. I find that subsequent fertility is much more responsive to the sex mix of the first two children when defiers are allowed.
- Sprache
-
Englisch
- Erschienen in
-
Series: cemmap working paper ; No. CWP12/19
- Klassifikation
-
Wirtschaft
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Kowalski, Amanda E.
- Ereignis
-
Veröffentlichung
- (wer)
-
Centre for Microdata Methods and Practice (cemmap)
- (wo)
-
London
- (wann)
-
2019
- DOI
-
doi:10.1920/wp.cem.2019.1219
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Kowalski, Amanda E.
- Centre for Microdata Methods and Practice (cemmap)
Entstanden
- 2019
Ähnliche Objekte (12)
Double-counting of investment
Double-counting of investment
Counting women's work in the Philippines
A counting approach for measuring multidimensional deprivation
A counting approach for measuring multidimensional deprivation
Counting with Combined Splitting and Capture-Recapture Methods
Counting what counts: Moral considerations and market surplus
Sequential Monte Carlo for Counting Vertex Covers in General Graphs
Counting-based multidimensional poverty identification: From deprivation weights to bundles
A multinomial model for the quality control of colony counting procedures
The counting approach to multidimensional poverty: The case of four African countries
Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary Schools
Double-counting of investment
Double-counting of investment
Counting women's work in the Philippines
A counting approach for measuring multidimensional deprivation
A counting approach for measuring multidimensional deprivation
Counting with Combined Splitting and Capture-Recapture Methods
Counting what counts: Moral considerations and market surplus
Sequential Monte Carlo for Counting Vertex Covers in General Graphs
Counting-based multidimensional poverty identification: From deprivation weights to bundles
A multinomial model for the quality control of colony counting procedures
The counting approach to multidimensional poverty: The case of four African countries
Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary Schools
Double-counting of investment
Double-counting of investment
Counting women's work in the Philippines
A counting approach for measuring multidimensional deprivation
A counting approach for measuring multidimensional deprivation
Counting with Combined Splitting and Capture-Recapture Methods
Counting what counts: Moral considerations and market surplus
Sequential Monte Carlo for Counting Vertex Covers in General Graphs
Counting-based multidimensional poverty identification: From deprivation weights to bundles
A multinomial model for the quality control of colony counting procedures
The counting approach to multidimensional poverty: The case of four African countries