 1

Ahn, S. C. 1995. Robust GMM Tests for Model Specification.Arizona State University (Working Paper).
(check this in PDF content)
 2

Arellano, M. 1987. Computing robust standard errors for within–groups estimators.
(check this in PDF content)
 3

Oxford Bulletin of Economics and Statistics49: 431–434.
(check this in PDF content)
 4

Basmann, R. 1960. On finite sample distributions of generalized classical linear identifiability test statistics.Journal of the American Statistical Association55(292): 650–659.
(check this in PDF content)
 5

Bound, J., D. A. Jaeger, and R. Baker. 1995. Problems with instrumental variables estimation when the correlation between the instruments and the endogeneous explanatory variable is weak.Journal of the American Statistical Association90: 443–450.
(check this in PDF content)
 6

Bowden, R. J. and D. A. Turkington. 1984.Instrumental Variables. Cambridge: Cambridge University Press.
(check this in PDF content)
 7

Breusch, T. S. and A. R. Pagan. 1979. A simple test for heteroskedasticity and random coefficient variation.Econometrica47: 1287–1294.
(check this in PDF content)
 8

Chamberlain, G. 1982. Multivariate regression models for panel data.Journal of Econometrics18: 5–46.
(check this in PDF content)
 9

Cook, R. D. and S. Weisberg. 1983. Diagnostics for heteroscedasticity in regression. Biometrika70: 1–10.
(check this in PDF content)
 10

Cragg, J. 1983. More efficient estimation in the presence of heteroskedasticity of unknown form.Econometrica51: 751–763.
(check this in PDF content)
 11

Cumby, R. E., J. Huizinga, and M. Obstfeld. 1983. Twostep twostage least squares estimation in models with rational expectations.Journal of Econometrics21: 333– 355.
(check this in PDF content)
 12

Davidson, R. and J. G. MacKinnon. 1993.Estimation and Inference in Econometrics. 2nd ed. New York: Oxford University Press.
(check this in PDF content)
 13

Durbin, J. 1954. Errors in variables.Review of the International Statistical Institute 22: 23–32.
(check this in PDF content)
 14

Eichenbaum, M. S., L. P. Hansen, and K. J. Singleton. 1988. A time series analysis of representative agent models of consumption and leisure.Quarterly Journal of Economics103(1): 51–78.
(check this in PDF content)
 15

Godfrey, L. G. 1978. Testing for multiplicative heteroskedasticity.Journal of Econometrics8: 227–236. —. 1988.Misspecification tests in econometrics: The Lagrange multiplier principle and other approaches. Cambridge: Cambridge University Press. —. 1999. Instrument relevance in multivariate linear models.Review of Economics &
(check this in PDF content)
 16

Greene, W. H. 2000.Econometric Analysis. 4th ed. Upper Saddle River, NJ: Prentice– Hall.
(check this in PDF content)
 17

Hahn, J. and J. Hausman. 2002a. A new specification test for the validity of instrumental variables.Econometrica70(1): 163–89. —. 2002b. Notes on bias in estimators for simultaneous equation models.Economics Letters75(2): 237–41.
(check this in PDF content)
 18

Hansen,B.E.2000.Econometrics.1sted.Madison,WI: http://www.ssc.wisc.edu/ bhansen/notes/notes.htm.
(check this in PDF content)
 19

Hansen, L. 1982. Large sample properties of generalized method of moments estimators. Econometrica50(3): 1029–1054.
(check this in PDF content)
 20

Hansen, L., J. Heaton, and A. Yaron. 1996. Finite sample properties of some alternative
(check this in PDF content)
 21

GMM estimators.Journal of Business and Economic Statistics14(3): 262–280.
(check this in PDF content)
 22

Hausman, J. 1978. Specification tests in econometrics.Econometrica46(3): 1251–1271.
(check this in PDF content)
 23

Hausman, J. A. and W. E. Taylor. 1981. A generalized specification test.Economics Letters8: 239–245.
(check this in PDF content)
 24

Hayashi, F. 2000.Econometrics. 1st ed. Princeton, NJ: Princeton University Press.
(check this in PDF content)
 25

Hoxby, C. and M. D. Paserman. 1998. Overidentification tests with grouped data.
(check this in PDF content)
 26

National Bureau of Economic Research(Technical Paper 223). K ́ezdi, G. 2002. The Economic Returns to Education: Finite–Sample Properties of an
(check this in PDF content)
 27

IV Estimator.University of Michigan(Working Paper).
(check this in PDF content)
 28

Koenker, R. 1981. A note on Studentizing a test for heteroskedasticity.Journal of Econometrics17: 107–112.
(check this in PDF content)
 29

Moulton, B. R. 1986. Random group effects and the precision of regression estimates. Journal of Econometrics32: 385–397.
(check this in PDF content)
 30

Nakamura, A. and M. Nakamura. 1981. On the relationships among several specification error tests presented by Durbin, Wu, and Hausman.Econometrica49(6): 1583–1588.
(check this in PDF content)
 31

Newey, W. 1985. Generalized method of moments specification testing.Journal of Econometrics29: 229–256.
(check this in PDF content)
 32

Pagan, A. R. and D. Hall. 1983. Diagnostic tests as residual analysis.Econometric Reviews2(2): 159–218.
(check this in PDF content)
 33

Pesaran, M. H. and L. W. Taylor. 1999. Diagnostics for IV regressions.Oxford Bulletin of Economics & Statistics61(2): 255–281.
(check this in PDF content)
 34

Ruud, P. A. 2000.An Introduction to Classical Econometric Theory. Oxford: Oxford
(check this in PDF content)
 35

University Press.
(check this in PDF content)
 36

Sargan, J. 1958. The estimation of economic relationships using instrumental variables. Econometrica26(3): 393–415.
(check this in PDF content)
 37

Shea, J. 1997. Instrument relevance in multivariate linear models: A simple measure. Review of Economics & Statistics79(2): 348–352.
(check this in PDF content)
 38

Staiger, D. and J. H. Stock. 1997. Instrumental variables regression with weak instruments.Econometrica65(3): 557–86.
(check this in PDF content)
 39

White, H. 1980. A heteroskedasticityconsistent covariance matrix estimator and a direct test for heteroskedasticity.Econometrica48: 817–838. —. 1982. Instrumental variables regression with independent observations.Econometrica50(2): 483–499. —. 1984.Asymptotic Theory for Econometricians. 1st ed. Orlando, FL: Academic
(check this in PDF content)
 40

Wooldridge, J. M. 1995. Score diagnostics for linear models estimated by two stage least squares. InAdvances in Econometrics and Quantitative Economics: Essays in honor of Professor C. R. Rao, eds. G. S. Maddala, P. C. B. Phillips, and T. N. Srinivasan, 66–87. Cambridge, MA: Blackwell Publishers. —. 2002.Econometric Analysis of Cross Section and Panel Data. 1st ed. Cambridge,
(check this in PDF content)
 41

Wu, D.M. 1973. Alternative tests of independence between stochastic regressors and disturbances.Econometrica41(4): 733–750. —. 1974. Alternative tests of independence between stochastic regressors and disturbances: Finite sample results.Econometrica42(3): 529–546.
(check this in PDF content)