References

all, Norbert.H et. 2019. “Twenty Steps Towards an Adequate Inferential Interpretation of p-Values in Econometrics.” Journal of Economics and Statistics 239 (4): 703–21.
Allison, and Paul.D. “Measures of Fit for Logistic Regression.” Statistical Horizons LLC and the University of Pennsylvania, ahead of print. https://doi.org/https://support.sas.com/resources/papers/proceedings14/1485-2014.pdf.
Amemiya, Takeshy. 1985. Advenced Econometric. Harvard university press.
Anderson, T. W. 2005. “Origins of the Limited Information Maximum Likelihood and Two-Stage Least Squares Estimators.” Journal Of Econometrics 127.
Bellemare, Marc F., and Casey J. Wichman. 2020. “Elasticity and the Inverse Hyperbolic Sine Transformation.” Oxford Bullettin of Economics and Statistics 82 (1): 50–61.
Buchinsky, Moshe. 1998. “Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research.” Journal of Human Resources 33 (1): 88–126. https://ideas.repec.org/a/uwp/jhriss/v33y1998i1p88-126.html.
Cameron, A.Colin, and Pravin K. Trivedi. 1992. “Regression-Based Tests for Overdispersion in the Poisson Model.” Journal of Econometrics 46 (3): 347–64. https://doi.org/10.1016/0304-4076(90)90014-K.
Cande.V, and David.G. 1997. “Regression Models for Ordianl Responses.” International Epidemiological Association 26 (6). https://doi.org/6049533.
Card.D. 1993. Using Geographic Variation in College Proximity to Estimate the Return to Schooling.” National Bureau of Economic Research, no. 4483.
Chen, Kani, Zhiliang Ying, Hong Zhang, and Lincheng Zhao. 2008. Analysis of least absolute deviation.” Biometrika 95 (1): 107–22. https://doi.org/10.1093/biomet/asm082.
Crawley, Michael J. 2013. The r Book. 2nd ed. Imperial College London at Silwood Park. http://www.bio.ic.ac.uk/research/mjcraw/therbook/index.htm.
Davison.C, and Hinkley.D. 1997. Bootstrap Methods and Their Application. Cambridge University Press. https://doi.org/10.1017/CBO9780511802843.
D.Cochrane, and G. H.Orcutt. 1949. “Application of Least Squares Regression to Relationships Containing Auto-Correlated Error Terms.” Journal of the American Statistical Association 44 (245): 32–61. https://doi.org/10.1080/01621459.1949.10483290.
Ding, Jie, Vahid Tarokh, and Yuhong Yang. 2018. “Model Selection Techniques.” IEEE SIGNAL PROCESSING MAGAZINE.
Durbin.J, and Watson. 1950. “Testing for Serial Correlation in Least Squares Regression: i.” Biometrica 37 (3/4): 409–28. https://doi.org/10.2307/2332391.
Farrar, Donald E., and Robert R. Glauber. 1967. “Multicollinearity in Regression Analysis: The Problem Revisited.” The Review of Economics and Statistics 49 (1): 92–107. http://www.jstor.org/stable/1937887.
Feinberg. 1980. The Analysis of Cross-Classified Categorical Data. 2nd ed. Cambridge, Mit press.
FENG, Changyong, Hongyue WANG, Naiji LU, et al. 2014. “Log-Transformation and Its Implications for Data Analysis.” Shanghai Archives of Psychiatry 26 (2): 105–9.
Glejser, Herbert. 1969. “A New Test for Heteroskedasticity.” Journal of the American Statistical Association 64: 315–23. https://doi.org/10.1080/01621459.1969.10500976.
Goldfeld, Stephen M., and Richard E. Quandt. 1965. “Some Tests for Homoscedasticity.” Journal of the American Statistical Association 60 (310): 539–47. https://doi.org/10.1080/01621459.1965.10480811.
Goldfeld, and R. E. Quandt. 1972. Nonlinear Methods in Econometrics.” Journal of Econometrics 14: 399–401.
Green, William. 2018. Econometric Analysis. 8nd ed. Pearson.
Hansen, Bruce.E. 2018. Econometrics. University of Wisconsin.
Harville, David A. 1974. Recovery of inter-block information when block sizes are unequal.” Biometrika 61 (2): 383–85. https://www.jstor.org/stable/2334370.
Hilt, Donald E., and Donald W. Seegrist. 1977. Ridge: A Comoputer Program for Calculating Ridge Regression Estimtes. https://books.google.fr/books?id=R4HSmWSNWEkC&pg=PP4&redir_esc=y#v=onepage&q&f=false.
Hoef, Jay M. Ver, and Peter L. Boveng. 2007. “QUASI-POISSON VS. NEGATIVE BINOMIAL REGRESSION: HOW SHOULD WE MODEL OVERDISPERSED COUNT DATA?” Ecology 88 (11): 2766–72. https://doi.org/http://digitalcommons.unl.edu/usdeptcommercepub/142?utm_source=digitalcommons.unl.edu%2Fusdeptcommercepub%2F142&utm_medium=PDF&utm_campaign=PDFCoverPages.
Klein. 1965. An Introduction to Econometrics. 3rd ed. Prentice-Hall.
koutsoyiannis.A. 1977. Theory of Econometrics: An Introductory Exposition of Econometric Mehtods. 2nd ed. Macmillan.
Long, J. Scott, and Laurie H. Ervin. 1980. “Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model.” The American Statistician 54 (3). https://doi.org/10.1080/00031305.2000.10474549.
MacKinnon, James G. 2002. “Bootstrap Inference in Econometrics.” The Canadian Journal of Economics 35 (4): 615–45. http://www.jstor.org/stable/3131829.
MacKinnon, James G, and Halbert White. 1985. “Some Heteroskedasticity-Consistent Covariance Matrix Estimators with Improved Finite Sample Properties.” Journal of Econometrics 29 (3): 305–25. https://doi.org/110.1016/0304-4076(85)90158-7.
Marc.P, Aldo.A, and Cheng.S. 2020. Mathematics for Machine Learning. By Cambridge University Press.
McFadden.D. 1974. Conditional Logit Analysis of Qualitative Choice Behavior.” In: Frontiers in Econometric, 105–42.
Mullahy, J. 1986. “Specification and Testing of Some Modified Count Data Models.” Journal of Econometrics 33 (3): 341–65. https://doi.org/10.1016/0304-4076(86)90002-3.
Murphy, Kevin P. 2012. Machine Learning a Probabilistic Perspective. The MIT Press.
Nadaraya, E. 1964. “On Estimating Rgression.” Theory of Probability & Its Applications 9 (1): 141–42. https://doi.org/https://doi.org/10.1137/1109020.
Newey.K, and Kenneth D. West. 1987. “A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix.” Biometrica 55 (3): 703–8. https://doi.org/10.2307/1913610.
Park, R. E. 1966. “Estimation with Heteroscedastic Error Terms.” Econometrica 34 (4): 888. https://doi.org/10.2307/1910108.
PATTERSON, H. D., and R. THOMPSON. 1971. Bayesian Inference for Variance Components Using Only Error Contrasts.” Biometrika 58 (3): 545–54. https://doi.org/10.1093/biomet/58.3.545.
Robert.T, Michal.S, Saharon.R, Ji.Z, and Keith.K. 2005. “Sparsity and Smoothness via the Fused Lasso.” Royal Statistical Society, no. 67: 91–108. http://www.jstor.org/stable/1937887.
Saikat.M, and Jun.Y. 2008. Principle Component Analysis and Partial Least Squares: Two Dimension Reduction Techniques for Regression.” Royal Statistical Society.
S.Breusch, T., and A. R.Pagan. 1979. “A Simple Test for Heteroscedasticity and Random Coefficient Variation.” Econometrica 47 (5): 1287–94. https://doi.org/10.2307/1911963.
Walker.SH, and Duncan.DB. 1967. “Estimation of the Probability of an Event as a Function of Several Independent Variables.” Biometrika 54: 167–79. https://doi.org/6049533.
White, Halbert. 1980. “A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.” Econometrica 48 (4): 1287–94. https://doi.org/10.2307/1912934.
Whitelaw, A.Thomas. 1991. An Introduction to Linear Algebra. 2nd ed. Springer.
Wickham, Hadley. 2016. Ggplot2. 2nd ed. Springer.
Zellner, Arnold, and H. Theil. 1962. “Three-Stage Least Squares: Simultaneous Estimation of Simultaneous Equations.” Econometrica 30 (1): 54–78. http://www.jstor.org/stable/1911287.