Stas Kolenikov @ Missouri

My CV and my academic genealogy tree.

E-mail me: kolenikovs at missouri dot edu.
If you are sending some big files, please cc: stas.kolenikov@gmail.com. The missouri.edu account often chokes on them.

I am not a phone person, it can take me weeks to get my messages,
so emailing me is really the best contact option.

My personal webpage.

You can find me at LiveJournal, FaceBook, LinkedIn, CiteULike, Wikipedia, RePEc, Google, Google Scholar, Amazon.com, В контакте.ру, на Одноклассниках.ру, на моём круге.ру, ...

• Savalei, V., and Kolenikov, S. (2008). Constrained Versus Unconstrained Estimation in Structural Equation Modeling. Psychological Methods, 13(2), pp 150--170. doi: 10.1037/1082-989X.13.2.150
• Kolenikov, S., and Bollen, K. Testing Negative Error Variances: Is a Heywood Case a Symptom of Misspecification? Working paper, R&R.
• Yuan, Y, and Kolenikov, S. Empirical likelihood estimation and testing in structural equation models. Working paper, R&R.
• Kolenikov, S., Li, N., and Bollen, K. Estimating equations, parameter biases, and sandwich variance estimator in structural equation models. Work in progress.
• Kolenikov, S., and Savalei, V. Underidentification and testing in factor analysis models. Work in progress.
• NSF grant: Structural Misspecification in Latent Variable Models: Symptoms, Consequences, and Diagnostic Tests. Collaborative research with Kenneth Bollen.
• SEM diagrams with Graphviz.

• Kolenikov, S. and Angeles, G. On costs in repeated clustered surveys. Working paper, submitted (R&R), previous version also available as CPC/Measure working paper No. WP-05-87-en.
• Kolenikov, S (2007) Applications of quasi-Monte Carlo methods in inference for complex survey data. ASA Survey Research Methods Section Proceedings.
• Kolenikov, S. (2009) Resampling variance estimation for complex survey data. Submitted.
• Review of survey capabilities of Stata.

• Kolenikov, S., and Angeles, G. (2009) Socioeconomic status measurement with discrete proxy variables: Is principal component analysis a reliable answer? Review of Income and Wealth, vol. 55 (1), pp. 128--165, DOI: 10.1111/j.1475-4991.2008.00309.x. A much earlier version also available as CPC/Measure working paper No. WP-04-85-en,
• Kolenikov, S., and Shorrocks, A. A Decomposition Analysis of Regional Poverty in Russia. Review of Development Economics, 9(1), pp. 25--46. doi: 10.1111/j.1467-9361.2005.00262.x

• cfa package: confirmatory factor analysis. Type
  . findit cfa
  in Stata to download. Documentation available here; forthcoming in Stata Journal.
• bsweights package: bootstrap weights for complex surveys. Type
  . findit survey bootstrap
  in Stata to download. Description available here.
• Other packages: type
  . net from http://web.missouri.edu/~kolenikovs/stata
  to find out more.

• Specification testing with Heywood cases: Can standard errors be trusted?, presentation at Association for Psychological Science convention, San Francisco, May 2009.
• Applications of quasi-Monte Carlo methods in survey inference, presentation at the Statistical Society of Canada annual meeting, Vancouver, June 2009.
• Inference with Heywood cases, presentation at the Quantitative Psychology seminar, University of Missouri, April 2009, and University of Kansas Quantitative Psychology pro-seminar, September 2009.
• Survey bootstrap and bootstrap weights, presentation at Summer North American Stata User Group meeting, July 2008, Chicago.