LINEAR REGRESSION WITH DATA MISSING NOT AT RANDOM: BOOTSTRAP APPROACH

Carpenter, J. R., & Kenward, M. G. (2012). Missing data in clinical trials: a practical guide. Practical Guides to Biostatistics and Epidemiology. Cambridge University Press.

Chernick, M. R., and LaBudde, R. A. (2014). An introduction to bootstrap methods with applications to R. John Wiley & Sons.

Chernozhukov, V., and Hong, H. (2003). An MCMC approach to classical estimation. Journal of Econometrics, 115(2), 293-346.

Davison , A. C. , and Hinkley , D. V. (1997). Bootstrap Methods and Their Applications. Cambridge University Press, Cambridge .

DiCiccio , T., and Efron , B. (1992). More accurate confidence intervals in exponential families. Biometrika 79, 231 – 245 .

Efron , B., and Tibshirani , R. (1986). Bootstrap methods for standard errors, confidence intervals and other measures of statistical accuracy. Statistical Science. Vol. 1 , 54 – 77

Efron, B. (1979). Bootstrap methods: Another look at the jackknife. The Annals of Statistics, 7(1), 1-26.

Efron, B. (1982). The Jackknife, the Bootstrap and Other Resampling Plans. SIAM, Philadelphia

Fan, Y., and Li, Q. (2004). A consistent model specification test based on the kernel density estimation. Econometrica, 72(6), 1845-1858.

Flachaire, E. (2007). Bootstrapping heteroscedastic regression models: wild bootstrap vs pairs bootstrap. Computational Statistics and Data Analysis, 49 (2), 361-376

Freedman , D. A. (1981). Bootstrapping regression models. Annals of Statistics, 9, 1218 – 1228

Graham, J. W. (2003). Adding missing-data-relevant variables to FIML-based structural equation models. Structural Equation Modeling, 10(1), 80-100.

Greene, W. H. (2021) Econometric Analysis, 8th edn, Pearson

Gujarati, D. N., Porter, D. C., and Gunasekar, S. (2012). Basic econometrics. McGraw-Hill Higher Education

He, Y., & Zaslavsky, A. M. (2012). Diagnostics for multiple imputation in surveys with missing data. Biometrika, 99(4), 731-745.

Horowitz, J. L., and Markatou, M. (1996). Semiparametric estimation of regression models for panel data. Review of Economic Studies, 63(1), 145-168.

James, G., Witten, D., Hastie, T., and Tibshirani, R. (2023). An Introduction to Statistical Learning. Publisher

Lind, D. A., Marchal, W. G., and Wathen, S. A. (1967). Statistical Techniques in Business and Economics (2nd ed). Publisher

Little, R. J. A., & Rubin, D. B. (1987). Statistical analysis with missing data. Wiley

Liu , R. Y. (1988). Bootstrap procedures under some non i.i.d. models . Annals of Statistics 16, 1696 – 1708

Politis, D. and Romano, J, (1994). The Stationary bootstap. The journal of American Statistical Association. 89 (428), 1303-1312

Schafer, J. L., & Graham, J. W. (2002). Multiple imputation for missing data: A cautionary tale. Sociological Methods & Research, 31(4), 445-454