Maximum Likelihood Analysis for a Generalized Regression-Discontinuity Design.

Visser, Ronald A.; De Leeuw, Jan

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ314652

Record Type: Journal

Publication Date: 1984

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: N/A

EISSN: N/A

Available Date: N/A

Maximum Likelihood Analysis for a Generalized Regression-Discontinuity Design.

Visser, Ronald A.; De Leeuw, Jan

Journal of Educational Statistics, v9 n1 p45-60 Spr 1984

The regression-discontinuity design (RDD) offers the possibility of making inferences about causal effects from observations on selected groups. Data from such a design are considered to have a truncated bivariate distribution. For the RDD, maximum likelihood parameter estimation procedures and tests of hypotheses are presented. (Author/BW)

Descriptors: Hypothesis Testing, Maximum Likelihood Statistics, Monte Carlo Methods, Quasiexperimental Design, Regression (Statistics), Statistical Analysis, Statistical Distributions

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

Author Affiliations: N/A