Maximum Likelihood Analysis for a Generalized Regession-Discontinuity Design

Ronald A. Visser and Jan De Leeuw

Journal of Educational and Behavioral Statistics, 1984, vol. 9, issue 1, 45-60

Abstract: The regression-discontinuity design (RDD) offers the possibility of making inferences about causal effects from observations on selected groups. The quasi-experimental groups are formed by dividing the scores of a premeasurement in two halves. The treatment effect is inferred from the differences between the regression of a postmeasurement on the premeasurement for the two groups. We discuss a generalized form of this design: (a) Apart from parallel shift of the regression lines, differences in variance and covariance are considered; (b) pretest and posttest may be multivariate; and (c) more than two groups may be involved in the design. 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.

Keywords: Regression-discontinuity; selected groups; quasi-experimentation; truncated regression (search for similar items in EconPapers)
Date: 1984
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:9:y:1984:i:1:p:45-60

DOI: 10.3102/10769986009001045

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