Applied Econometrics Using the SAS® System

Applied Econometrics Using the SAS® System

Volumn , Issue , 2008, Pages 1-311

  Ajmani, Vivek B ^a  

^a US Bank Corp   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84870849005     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470377901     Document Type: Book

References (72)

1. Agresti, A. (1990). Categorical Data Analysis, John Wiley & Sons, Inc., New York.
2. Aigner, D. K. Lovell, and Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Models. Journal of Econometrics, 6: 21-37.
3. Allison, P. D. (1995). Survival Analysis Using SAS: A Practical Guide, SAS Institute, Inc., Cary, N.C.
4. Allison, P. D. (2003). Logistic Regression using the SAS® System: Theory and Application, SAS Institute Inc., Cary, NC.
5. Anderson, T., and Hsiao, C. (1981). Estimation of Dynamic Models with Error Components. Journal of American Statistical Association, 76: 598-606.
6. Anderson, T., Hsiao, C. (1982). Formulation and Estimation of Dynamic Models Using Panel Data. Journal of Econometrics, 18: 67-82.
7. Arellano, M. (1987). Computing Robust Standard Errors for Within-Groups Estimators. Oxford Bulletin of Economics and Statistics, 49: 431-434.
8. Arellano, M., and Bond, S. (1991). Some Tests for Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. Review of Economic Studies, 58: 277-297.
9. Ashenfelter, O., Levine, P. B., and Zimmerman, D. J. (2003). Statistics and Econometrics: Methods and Applications, John Wiley & Sons, Inc., New York.
10. Baltagi, B. H. (2005). Econometric Analysis of Panel Data, John Wiley & Sons, Inc., New York.
11. Baltagi, B. H. (2008). Econometrics, Springer, New York.
12. Balatgi, B. H., and Levin, D. (1992). Cigarette taxation: Raising revenues and reducing consumption, Structural Change and Economic Dynamics 3: 321-335.
13. Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroscedasticity. Journal of Econometrics, 31: 307-327.
14. Breusch, T., and Pagan, A. (1979). A Simple Test for Heteroscedasticity and Random Coefficients Variation. Econometrica, 47: 1287-1294.
15. Breusch, T., and Pagan, A. (1980). The LM Test and Its Application to Model Specification in Econometrics. Review of Economic Studies, 47: 239-254.
16. Brocklebank, J. C., and Dickey, D. A. (2003). SAS® for Forecasting Time Series, SAS Institute Inc., Cary, NC.
17. Brown, B., Durbin, J., and Evans, J. (1975). Techniques for Testing the Constancy of Regression Relationships Over Time. Journal of Royal Statistical Society, Series B, 37: 149-172.
18. Casella, G., and Berger, R. L. (1990). Statistical Inference, Wadsworth, Inc., California.
19. Chow, G. (1960). Tests of Equality Between Sets of Coefficients in Two Linear Regressions. Econometrica, 28: 591-605.
20. Chung, C. F., Schmidt, P. and Witte, A. D. (1991). Survival Analysis: A Survey, Journal of Quantitative Criminology 7: 59-98.
21. Cincera, M. (1997). Patents, R&D, and Technological Spillovers at the Firm Level: Some Evidence from Econometric Count Models for Panel Data, Journal of Applied Econometrics, 12: 265-280.
22. Cornwell, C., and Rupert, P. (1988). Efficient Estimation with Panel Data: An Empirical Comparison of Instrumental Variables Estimators. Journal of Applied Econometrics, 3: 149-155.
23. Davidson, R., and MacKinnon, J. (1993). Estimation and Inference in Econometrics, New York: Oxford University Press.
24. Efron, B., and Tibshirani, R. J. (1993). An Introduction to Bootstrap, Chapman & Hall, London, UK.
25. Enders, W. (2004). Applied Econometric Time Series. John Wiley & Sons, Inc., New York.
26. Engle, R. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflations. Econometrica, 50: 987-1008.
27. Fomby, T. B. (2007). Department of Economics, Southern Methodist University, Dallas, TX, personal communication, March 31, 2007.
28. Freund, R., and Littell, R. C. (2000). SAS® System for Regression, 3rd Edition, SAS Institute Inc., Cary, NC.
29. Freund, R. J., and Wilson, W. J. (1998). Regression Analysis, San Diego, Academic Press.
30. Fuller, W. A., and Battese, G. E. (1974). Estimation of Linear Models with Crossed-Error Structure. Journal of Econometrics, 2: 67-78.
31. Glewwe, P. (2006). Department of Applied Economics, St. Paul, MN, personal communication, January 31, 2006.
32. Graybill, F. A. (2000). Theory and Application of Linear Models, Duxbury Press.
33. Greene, W. (1992). A Statistical Model for Credit Scoring. Working Paper No. EC-92-29, New York University, Department of Economics, Stern School of Business.
34. Greene, W. H. (2003). Econometric Analysis, Prentice Hall, New Jersey.
35. Grunfeld, Y. (1958). The Determinants of Corporate Investment. Unpublished Ph.D. thesis, Department of Economics, University of Chicago.
36. Hallam, A. Unpublished Lecture Notes, Department of Economics, Iowa State University, Ames, Iowa.
37. Hausman, J. (1978). Specification Tests in Econometrics. Econometrica, 46: 1251-1271.
38. Hausman, J., and Taylor, W. (1977). Panel Data and Unobservable Individual Effects. Econometrica, 45: 919-938.
39. Hausman, J., and Taylor W. (1981). Panel Data and Unobservable Individual Effects. Econometrica, 49: 1377-1398.
40. Heckman, J. (1979). Sample Selection Bias as a Specification Error. Econometrica, 47: 153-161.
41. Hildebrand, G., and T. Liu (1957). Manufacturing Production Functions in the United States. Ithaca, N.Y.: Cornell University Press.
42. Financial Dictionary, www.investopedia.com, A Forbes Digital Company, 2008.
43. Jackson, E. J., A User's Guide to Principal Components, John Wiley & Sons, NY, 2003.
44. Jaeger, D. A. (2007). Department of Economics, University of Bonn, Germany, April 30, 2007.
45. Kiviet, J. (1995). On Bias, Inconsistency, and Efficiency of Some Estimators in Dynamic Panel Data Models. Journal of Econometrics, 68(1): 63-78.
46. Kennan, J. (1985). The Duration of Contract Strikes in U.S. Manufacturing, Journal of Econometrics, 28: 5-28.
47. Koenker, R. (1981). A Note on Studentizing a Test for Heteroscedasticity. Journal of Econometrics, 17: 107-112.
48. Koenker, R., and Bassett, G. (1982). Robust Tests for Heteroscedasticity Based on Regression Quantiles. Econometrica, 50: 43-61.
49. Lee, E. T. (1992). Statistical Methods for Survival Data Analysis, John Wiley & Sons, Inc., New York.
50. Littell, R. C., Stroup, W. W., and Freund, R. (2002). SAS® for Linear Models, SAS Institute Inc., Cary, NC.
51. Littell, R. C., Milliken, G. A., Stroup, W. W., and Wolfinger, R. D. (2006). SAS for Mixed Model, 2nd Edition, SAS Institute Inc., Cary, NC.
52. Lovell, M. C. (2006). A Simple Proof of the FWL (Frisch-Waugh-Lovell) Theorem. Available at SSRN: http://ssrn.com/abstract=887345.
53. MacKinnon, J., and White, H. (1985). Some Heteroscedasticity Consistent Covariance Matrix Estimators with Improved Finite Sample Properties. Journal of Econometrics, 19: 305-325.
54. McCall, B. P. (1995). The Impact of Unemployment Insurance Benefit Levels on Recipiency, Journal of Business and Economic Statistics, 13: 189-198.
55. McCullough, G. (2005). Department of Applied Economics, St. Paul, MN, personal communication, September 30, 2005.
56. McLeod, A., and Li, W. (1983). Diagnostic Checking ARMATime Series Models Using Squared Residual Correlations. Journal of Time Series Analysis 4: 269-273.
57. Meyers, H. M. (1990). Classical and Modern Regression with Applications, PWS-Kent, Massachusetts.
58. Montgomery, D. C. (1991). Introduction to Statistical Quality Control, John Wiley & Sons, New York.
59. Mroz, T. (1987). The Sensitivity of an Empirical Model of Married Women.s Hours of Work to Economic and Statistical Assumptions. Econometrica, 55: 765-799.
60. Nickell, S. (1981). Biases in Dynamic Models with Fixed Effects. Econometrica, 49: 1417-1426. NIST/SEMATECH, e-Handbook of Statistical Methods, available at http://www.itl.nist.gov/div898/handbook.
61. Page, E. S. (1954). Continuous Inspection Schemes. Biometrika, 41(1): 100-115.
62. Park, H. M. (2005). Linear Regression Models for Panel Data Using SAS, Stata, LIMDEP and SPSS. Technical Working Paper. The University Information Technology Services (UITS) Center for Statistics and Mathematics, Indiana University, Indiana.
63. Sargan, J. D. (1958). The Estimation of Economic Relationships Using Instrumental Variables. Econometrica, 26: 393-415.
64. Searle, S. R. (1982). Matrix Algebra Useful for Statistics, John Wiley & Sons, Inc., New York.
65. Snedecor, G. W., and Cochran, W. G. (1983). Statistical Methods, Iowa State University Press, Iowa.
66. Stokes, M. E., Davis, C. S., and Koch, G. G. (2001). Categorical Data Using the SAS® System, SAS Institute Inc., Cary, NC.
67. Verbeek, M. (2006). A Guide to Modern Econometrics, John Wiley & Sons Ltd., West Sussex, England.
68. Walter, E. (2004). Applied Econometric Time Series, John Wiley & Sons, Inc., New York.
69. White, H. (1980). A Heteroscedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroscedasticity. Econometrica, 48: 817-838.
70. Woodall, W. H., and Ncube, M. M. (1985). Multivariate CUSUM Quality Control Procedures. Technometrics, 27(3): 285-292.
71. Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data, Massachusetts Institute of Technology, Cambridge, MA.
72. Zellner, A. (1962). An Efficient Method of Estimating Seemingly Unrelated Regression and Tests of Aggregation Bias. Journal of the American Statistical Association, 57: 500-509.