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Corrections and Blocking Rules for the Block Bootstrap with Dependent Data.

Hall, P.; Horowitz, J.L. - Department of Economics, Tippie College of Business - 1993

Persistent link: https://www.econbiz.de/10005755349

Semiparametric Estimation of Regression Models for Panel Data.

Horowitz, J.L.; Markatou, M. - Department of Economics, Tippie College of Business - 1993

Persistent link: https://www.econbiz.de/10005755352

Bootstrap Methods in Econometrics: Theory and Numerical Performance.

Horowitz, J.L. - Department of Economics, Tippie College of Business - 1995

Persistent link: https://www.econbiz.de/10005755356

Semiparametric Estimation of a Regression Model with an Unknown Transformation of the Dependent Variable.

Horowitz, J.L. - Department of Economics, Tippie College of Business - 1992

Persistent link: https://www.econbiz.de/10005755358

The Case for Trend-Stationarity is Stronger than we Thought.

DeJong, D.N.; Whiteman, C.H. - Department of Economics, Tippie College of Business - 1991

Persistent link: https://www.econbiz.de/10005755360

The Effect of Nuisance Parameters on the Power of LM Tests in Logit and Probit Models.

Savin, N.E.; Wurtz, A. - Department of Economics, Tippie College of Business - 1996

In econometrics, most null hypotheses are composite, dividing the parameters into parameters of interest and nuisance …

Persistent link: https://www.econbiz.de/10005755366

Post Econometric Policy Evaluation : A Critique.

Ingram, B. - Department of Economics, Tippie College of Business - 1990

Persistent link: https://www.econbiz.de/10005560328

Is the Minimum Chi-Square Estimator the Winner in Logit Regression?

Hughes, G.A.; Savin, N.E. - Department of Economics, Tippie College of Business - 1993

Persistent link: https://www.econbiz.de/10005560338

Semiparametric Estimation of a Work-Trip Mode Choice Model.

Horowitz, J.L. - Department of Economics, Tippie College of Business - 1991

Persistent link: https://www.econbiz.de/10005560353

Power of tests in Binary Response Models.

Savin, N.E.; Wurtz, A. - Department of Economics, Tippie College of Business - 1996

Most hypotheses in binary response models are composite. The null hypothesis is usually that one or more slope coefficients are zero. Typically, the sequence of alternatives of interest is one in which the slope coefficients are increasing in absolute value. In this papar, we prove that the...

Persistent link: https://www.econbiz.de/10005233331