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Cited by 791

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Multiple Regression Analysis

·2007·Econometrics
DOI 10.1007/978-3-540-76516-5_4
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Research works printed but not linked: 20

  1. Baltagi, B.H. (1987a), “To Pool or Not to Pool: The Quality Bank Case,” The American Statistician, 41: 150–152. · doi:10.2307/2684234
  2. Baltagi, B.H. (1987b), “Simple versus Multiple Regression Coefficients,” Econometric Theory, Problem 87.1.1, 3: 159. · doi:10.1017/s0266466600004199
  3. Chow, G.C. (1960), “Tests of Equality Between Sets of Coefficients in Two Linear Regressions,” Econometrica, 28: 591–605. · DOI · Paper page
  4. Cornwell, C. and P. Rupert (1988), “Efficient Estimation with Panel Data: An Empirical Comparison of Instrumental Variables Estimators,” Journal of Applied Econometrics, 3: 149–155. · DOI · Paper page
  5. Dufour, J.M. (1980), “Dummy Variables and Predictive Tests for Structural Change,” Economics Letters, 6: 241–247. · doi:10.1016/0165-1765(80)90022-1
  6. Dufour, J.M. (1982), “Recursive Stability of Linear Regression Relationships,” Journal of Econometrics, 19: 31–76. · DOI
  7. Gujarati, D. (1970), “Use of Dummy Variables in Testing for Equality Between Sets of Coefficients in Two Linear Regressions: A Note,” The American Statistician, 24: 18–21. · DOI
  8. Gujarati, D. (1970), “Use of Dummy Variables in Testing for Equality Between Sets of Coefficients in Two Linear Regressions: A Generalization,” The American Statistician, 24: 50–52. · DOI
  9. Halvorsen, R. and R. Palmquist (1980), “The Interpretation of Dummy Variables in Semilogarithmic Equations,” American Economic Review, 70: 474–475.
  10. Hanushek, E.A. and J.E. Jackson (1977), Statistical Methods for Social Scientists (Academic Press: New York).
  11. Hill, R. Carter and L.C. Adkins (2001), “Collinearity,” Chapter 12 in B.H. Baltagi (ed.) A Companion to Theoretical Econometrics (Blackwell: Massachusetts).
  12. Kennedy, P.E. (1981), “Estimation with Correctly Interpreted Dummy Variables in Semilogarithmic Equations,” American Economic Review, 71: 802.
  13. Kennedy, P.E. (1981), “The Balentine: A Graphical Aid for Econometrics,” Australian Economic Papers, 20: 414–416. · doi:10.1111/j.1467-8454.1981.tb00368.x
  14. Kennedy, P.E. (1986), “Interpreting Dummy Variables,” Review of Economics and Statistics, 68: 174–175. · doi:10.2307/1924943
  15. Nieswiadomy, M. (1986), “Effect of an Additional Regressor on R 2,” Econometric Theory, Problem 86.3.1, 2:442. · doi:10.1017/s0266466600011701
  16. Poirier, D. (1976), The Econometrics of Structural Change (North Holland: Amsterdam).
  17. Salkever, D. (1976), “The Use of Dummy Variables to Compute Predictions, Prediction Errors, and Confidence Intervals,” Journal of Econometrics, 4: 393–397. · doi:10.1016/0304-4076(76)90027-0
  18. Suits, D. (1984), “Dummy Variables: Mechanics vs Interpretation,” Review of Economics and Statistics, 66: 132–139. · doi:10.2307/1924713
  19. Suits, D.B. A. Mason and L. Chan (1978), “Spline Functions Fitted by Standard Regression Methods,” Review of Economics and Statistics, 60: 132–139. · DOI
  20. Utts, J. (1982), “The Rainbow Test for Lack of Fit in Regression,” Communications in Statistics-Theory and Methods, 11: 1801–1815. · doi:10.1080/03610928208828423

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Metadata

Venue
Econometrics
Publisher
Springer Berlin Heidelberg
Published
2007-12-03
Pages
73-93
DOI
10.1007/978-3-540-76516-5_4
OpenAlex
W3156302520
Cited by
791
References
0
FWCI
85.69
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multiple Regression Analysis. https://app.cochat.ai/papers/10.1007/978-3-540-76516-5_4
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Multiple Regression Analysis. (2007). Econometrics. https://doi.org/10.1007/978-3-540-76516-5_4

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