• Corpus ID: 1457290

Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs : The Case of Manpower Training

  title={Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs : The Case of Manpower Training},
  author={Guido Imbens and Joshua David Angrist},

Modeling temporal treatment effects with zero inflated semi-parametric regression models: The case of local development policies in France

A semi-parametric approach to estimate the variation along time of the effects of two distinct public policies that were devoted to boost rural development in France over a similar period of time using a conditional mixture model which combines a mass at zero and a continuous response.

Assessing the Performance of Nonexperimental Estimators for Evaluating Head Start

The difference-in-differences matching estimator exhibits the best performance in terms of low bias values and capturing the pattern of statistically significant treatment effects, however, the variation in bias is greater across outcomes examined than across methods.

The Women of the National Supported Work Demonstration

This paper re-creates three of the samples from LaLonde’s famous 1986 paper that began the literature on “within-study designs” that uses experiments as benchmarks against which to assess the

On the Heterogeneous Employment Effects of Offshoring: Identifying Productivity and Downsizing Channels

type="main" xml:id="ecin12124-abs-0001"> This article examines the channels through which offshoring affects employment in a representative sample of German establishments, using a

A History of Polyvalent Structural Parameters: the Case of Instrument Variable Estimators

This paper investigates the rise and fall of the IV method in macro-econometric models and its subsequent revival in micro-econometric models. The key findings are: (i) the IV method implicitly

The Effectiveness of Public Sponsored Training Revisited: The Importance of Data and Methodological Choices

As the first, substantive contribution, this paper revisits the effectiveness of two widely used public sponsored training programs, the first one focusing on intensive occupational training and the



Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: the Case of Manpower Training

The value of simple specification tests in selecting an appropriate nonexperimental estimator is explored and a reanalysis of the National Supported Work Demonstration Data reveals that a simple testing procedure eliminates the range of nonexperiment estimators that are at variance with the experimental estimates of program impact.

Estimating causal effects of treatments in randomized and nonrandomized studies.

A discussion of matching, randomization, random sampling, and other methods of controlling extraneous variation is presented. The objective is to specify the benefits of randomization in estimating

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Section 9 Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies Donald B

  • Rubin Statistical Science
  • 1990

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  • Stable URL: http://links.jstor.org/sici?sici=0002-8282%28198609%2976%3A4%3C604%3AETEEOT%3E2.0