Patterns of consent: evidence from a general household survey

By S. Jenkins, Lorenzo Cappellari, Peter Lynn, A. Jäckle, Emanuela Sala. 2006

120 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Health, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/ab2b2677b37412dce73d251b3c6c5d52d255a0a2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Mark W. Frank
2. Joseph W. Sakshaug
3. Edward F. Blackburne
4. Frauke Kreuter
5. Seyi Saint Akadiri
6. H. Arasli
7. Samira Roudi

In Sociology and Political Science

1. Joseph W. Sakshaug
2. Frauke Kreuter
3. Mark W. Frank

Citations in the corpus

• Assessing the Magnitude of Non-Consent Biases in Linked Survey and Administrative Data (2012, background): “…gender, age, education, and wealth to be strongly related to the likelihood of consent, and found health status, income item nonresponse, and prior-wave observations in longitudinal studies to also correlate with linkage consent (Tate and Calderwood 2005; Jenkins et al. 2006; Sala et al. 2010).”
• Estimation of Nonstationary Heterogeneous Panels (2007, background): “Nevertheless, some promising evidence is provided by Sándor and András (2004). They studied the performance of several sampling methods for estimation of multivariate normal probabilities using the GHK simulator.”