Evaluating the Econometric Evaluations of Training Programs with Experimental Data

By R. Lalonde. 1984

Subfields: Statistics and Probability, Causal Inference & Discovery

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Citations in the corpus

The Econometrics of Randomized Experiments (2016, methodology): “We will illustrate some of the discussions with analyses of an experimental evaluation of a labor market program, first analyzed by Lalonde (1986). The data set contains information on 445 individuals, 185 in the treatment group, and 260 in the control group.”
Estimating treatment effect heterogeneity in randomized program evaluation (2013, methodology): “Our analysis focuses upon the subset of these individuals previously used by other researchers [LaLonde (1986), Dehejia and Wahba (1999)] where the (randomly selected) treatment and control groups consist of 297 and 425 such workers, respectively.”
Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility: A (2003, background): “For example, Lalonde (1986) compared estimates of the impact of a job training program based on a variety of nonexperimental estimators to an experimental benchmark.”
Using the Propensity Score Method to Estimate Causal Effects (2013, methodology): “To demonstrate how scholars can use the proposed procedure listed in Figure 1 to gauge causal effect, I analyze three sources of data sets that have been widely used by economists (Dehejia & Wahba, 1999, 2002; Heckman & Hotz, 1989; Lalonde, 1986; Simith & Todd, 2005).”
The Effects of Public R&D Subsidies on Firms' Innovation Activities (2003, methodology): “These matching approaches were applied extensively in the literature on the evaluation of labor market policies, including the evaluation of active labor market programs and quali cation measures (LaLonde 1986; Dehejia and Wahba 1999; Lechner 1999; Heckman, LaLonde, and Smith 1999).”
Units of measurement and the inverse hyperbolic sine transformation (2020, methodology): “As an empirical illustration, we replicate and extend an empirical example used in Bellemare and Wichman (2019) who use data from Dehejia and Wahba (1999) to analyse how a randomised treatment with the National Supported Work (NSW) program a ects annual income as initially done by LaLonde (1986).”
Those They Leave Behind: Paternal Incarceration and Maternal Instrumental Support (2012, background): “‘‘treatment’’ only among those at risk for it (LaLonde, 1986; Leamer, 1983).”
Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components : A Re-Analysis of the California GAIN Program * by (2005, methodology): “As first noted by Heckman and Robb (1985), and subsequently extended by Mitnik (2004b) to the case of differential treatment effects, estimation of causal effects in the case of unknown treatment status at the subject level can still proceed with data on treatment component 33 For other examples of ”
The use of propensity score matching in the evaluation of active labour market policies (2002, background): “The adequacy of these techniques was called into question in the United States in the 1980s (for example, LaLonde, 1986).”