How do we know we need to control for selectivity?
In the previous two decades there has been considerable progress in recognizing biases due to selectivity that are associated with the use of observational data to make causal inferences and in developing models to control for these biases statistically. Often there is a difference between estimates produced by models that attempt to control for selectivity and those that do not. Since a difference alone does not persuasively argue for one model over another, analysts typically rely on their a priori expectations of selectivity based on theory or intuition. Here we suggest that the analystâ€™s judgement about the appropriate analytical model may be informed by simple descriptive statistics and qualitative data. We use data on social networks collected in rural Kenya, since the analysis of networks is likely to raise questions of selectivity, and simple examples. Although we do not provide general rules for assessing when models that control for selectivity should be used, we conclude by recommending that analysts inform their judgement rather than rely on theory and intuition to justify controlling for selectivity. Although our data are particular, the implications of our approach are general, since a priori evaluations of the credibility of assumptions on which analytic models are based can be made in other settings and for other research questions.
Volume (Year): 1 (2003)
Issue (Month): 4 (September)
|Contact details of provider:|| Web page: http://www.demogr.mpg.de/|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Alderman, Harold & Watkins, Susan Cotts & Kohler, Hans-Peter & Maluccio, John A. & Behrman, Jere R., 2000.
"Attrition in longitudinal household survey data,"
96, International Food Policy Research Institute (IFPRI).
- Jere Behrman & Hans-Peter Kohler & Susan Watkins, 2002. "Social networks and changes in contraceptive use over time: Evidence from a longitudinal study in rural Kenya," Demography, Springer, vol. 39(4), pages 713-738, November.
- Hans-Peter Kohler & Jere R. Behrman & Susan Watkins, 2000. "Empirical Assessments of Social Networks, Fertility and Family Planning Programs," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(7), September.
- Manski, C.F. & Nagin, D.S., 1996.
"Bounding Disagreements About Treatment Effects: A Case Study of Sentencing and Recidivism,"
9526r, Wisconsin Madison - Social Systems.
- Brock, William A & Durlauf, Steven N, 2001.
"Discrete Choice with Social Interactions,"
Review of Economic Studies,
Wiley Blackwell, vol. 68(2), pages 235-60, April.
- Valente, Thomas W. & Watkins, Susan C. & Jato, Miriam N. & Van Der Straten, Ariane & Tsitsol, Louis-Philippe M., 1997. "Social network associations with contraceptive use among Cameroonian women in voluntary associations," Social Science & Medicine, Elsevier, vol. 45(5), pages 677-687, September.
- Susan E. Short & Feinian Chen & Barbara Entwisle & Zhai Fengying, 2002. "Maternal Work and Child Care in China: A Multi-Method Analysis," Population and Development Review, The Population Council, Inc., vol. 28(1), pages 31-57.
- FFF1Christoph NNN1Bühler & FFF2Hans-Peter NNN2Kohler, 2003. "Talking about AIDS," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 1(13), pages 397-438, September.
- repec:att:wimass:9217 is not listed on IDEAS
- Christiaensen, Luc J. M. & Hoddinott, John & Bergeron, Gilles, 2000.
"Comparing village characteristics derived from rapid appraisals and household surveys,"
FCND discussion papers
91, International Food Policy Research Institute (IFPRI).
- Christiaensen, Luc J. M. & Hoddinott, John & Bergeron, Gilles, 2000. "Comparing village characteristics derived from rapid appraisals and household surveys," FCND briefs 91, International Food Policy Research Institute (IFPRI).
- Hans-Peter Kohler & Jere R. Behrman & Susan Cotts Watkins, 1999. "The structure of social networks and fertility decisions: evidence from S. Nyanza District, Kenya," MPIDR Working Papers WP-1999-005, Max Planck Institute for Demographic Research, Rostock, Germany.
When requesting a correction, please mention this item's handle: RePEc:dem:drspec:v:1:y:2003:i:4. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Editorial Office)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.