Abstract. This paper provides a discussion of recent developments related to the applicability of the regression discontinuity design in economics. It reviews econo-metric issues, such as identification and estimation methods, as well as a number of sensitivity and validity tests of importance in empirical application. 1
The Chow Test (Chow, 1960) is a method well known in econometrics. It was originally designed to ana...
Regression discontinuity analyses can generate estimates of the causal effects of an exposure when a...
Regression analysis can be used to establish causal relationships between factors and the response v...
This paper reviews the literature on whether regression-discontinuity studies reproduce the results ...
Exploratory data analysis plays a central role in applied statistics and econometrics. In the popula...
This handbook chapter gives an introduction to the sharp regression discontinuity design, covering i...
for this article, as well as for numerous illuminating discussions on the various topics we cover in...
AbstractObjectivesRegression discontinuity (RD) designs allow for rigorous causal inference when pat...
Regression discontinuity designs (RDD) are increasingly being employed in agricultural and environme...
The Regression Discontinuity (RD) design looks similar to the non-equivalent group design, which use...
In recent years, a growing number of studies have applied regression discontinuity designs (RDDs) to...
While regression discontinuity has usually been applied retrospectively to secondary data, it is eve...
This volume deals with advanced topics and specific problems in applied econometrics. Part III intro...
This paper proposes a new estimation method for regression discontinuity models, allowing for estima...
<p>This article extends the standard regression discontinuity (RD) design to allow for sample select...
The Chow Test (Chow, 1960) is a method well known in econometrics. It was originally designed to ana...
Regression discontinuity analyses can generate estimates of the causal effects of an exposure when a...
Regression analysis can be used to establish causal relationships between factors and the response v...
This paper reviews the literature on whether regression-discontinuity studies reproduce the results ...
Exploratory data analysis plays a central role in applied statistics and econometrics. In the popula...
This handbook chapter gives an introduction to the sharp regression discontinuity design, covering i...
for this article, as well as for numerous illuminating discussions on the various topics we cover in...
AbstractObjectivesRegression discontinuity (RD) designs allow for rigorous causal inference when pat...
Regression discontinuity designs (RDD) are increasingly being employed in agricultural and environme...
The Regression Discontinuity (RD) design looks similar to the non-equivalent group design, which use...
In recent years, a growing number of studies have applied regression discontinuity designs (RDDs) to...
While regression discontinuity has usually been applied retrospectively to secondary data, it is eve...
This volume deals with advanced topics and specific problems in applied econometrics. Part III intro...
This paper proposes a new estimation method for regression discontinuity models, allowing for estima...
<p>This article extends the standard regression discontinuity (RD) design to allow for sample select...
The Chow Test (Chow, 1960) is a method well known in econometrics. It was originally designed to ana...
Regression discontinuity analyses can generate estimates of the causal effects of an exposure when a...
Regression analysis can be used to establish causal relationships between factors and the response v...