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

By Guido W. Imbens, Josh Angrist. 2007

Citations in the corpus

• The State of Applied Econometrics - Causality and Policy Evaluation (2016, neutral): “[1987] (see also Heckman and Hotz [1989], Imbens and Rubin [2015]).”
• Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models (2005, unknown): “Hsiao (1986, Chapter 6) contains a detailed treatment. In this paper, I extend the framework of Wooldridge (2003) to allow for general aggregate time effects.”
• Government Programs Can Improve Local Labor Markets: Evidence from State Enterprise Zones, Federal Empowerment Zones and Federal Enterprise Communities (2010, unknown): “Finally we consider the assumption introduced in Heckman and Hotz (1989) and used in much previous research using double difference estimators: all NENTZs and ENTZs in the same state share the same quadratic, higher order trends and the double difference in the explanatory variables.30 Under this…”
• Do Unemployed Workers Benefit from Enterprise Zones? The French Experience (2012, unknown): “Our preferred speci…cation is the random growth model as proposed by Heckman and Hotz (1989) : ln j s = Z j s + X j + s + u j s (3) where is the …rst di¤erence operator, variable Z j s is the dummy for treatment status, X j are some municipality characteristics (which do not vary across time in our…”
• The Cost of Shame: International Organizations and Foreign Aid in the Punishing of Human Rights Violators (2009, unknown): “There is a lively debate on the relative merit of matching and control function (e.g. Heckman et al., 1989; LaLonde, 1986).”
• 4. Bayesian Propensity Score Estimators: Incorporating Uncertainties in Propensity Scores into Causal Inference (2010, unknown): “…National Support Work (NSW) program has been intensively examined in the literature to estimate job training effects (for example, see Lalonde 1986; Heckman and Hotz 1989; Dehejia and Wahba 1999; Dehejia 2005a, 2005b; Smith and Todd 2005a, 2005b), and it has become a canonical example in…”
• Bias-Corrected Matching Estimators for Average Treatment Effects (2011, unknown): “…the estimators studied in this article to data from the National Supported Work (NSW) demonstration, an evaluation of a subsidized work program first analyzed by Lalonde (1986) and subsequently by Heckman and Hotz (1989), Dehejia and Wahba (1999), Imbens (2003), Smith and Todd (2005), and others.”
• Propensity score matching and variations on the balancing test (2011, unknown): “These tests are also somewhat related to the pre-program alignment test suggested by Heckman and Hotz (1989), especially if the set of covariates includes pre-program outcomes, but yet different in nature.”
• Unobservable Selection and Coefficient Stability: Theory and Evidence (2019, unknown): “A number of methodological articles consider the approach of varying the covariate set as a sensitivity analysis (Heckman and Hotz 1989; Dehejia and Wahba 1999; Gelbach 2016).”
• How much green for the buck? Estimating additional and windfall effects of French agro-environmental schemes by DID-matching (2010, unknown): “If we weaken Assumption 2 and model input level as a linear random trend,(6) the matching version of the triple-differences (DDD) estimator of Heckman and Hotz [14] yields an unbiased estimate of the treatment effect.”
• Does microfinance reduce rural poverty? Evidence based on household panel data from northern Ethiopia (2009, unknown): “A more robust specification according to Heckman and Hotz (1989), the individualspecific linear trend model, allows both household-specific time-invariant unobservables and individual trends of time-varying unobservables to correlate linearly with program participation (Wooldridge 2002, p.”
• Behavioral science at the crossroads in public health: extending horizons, envisioning the future. (2006, unknown): “Economists have used instrumental variables to model the impact of policy changes on the probability of persons receiving a given treatment (Heckman & Hotz, 1989; Heckman & Vytlacil, 1999 ).”
• Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components : A Re-Analysis of the California GAIN Program * by (2005, unknown): “(1986), Heckman and Hotz (1989), Friedlander and Robins, (1995), and Heckman, Ichimura, and Todd (1997, 1998a, 1998b), and Dehejia and Wahba (1999).”