Four Parameters of Interest in the Evaluation of Social Programs
By James J. Heckman, J. Tobias, E. Vytlacil. 2001
303 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Education, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/63fa03f27a237bb609805fceeaa5dab0a584addc
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In Economics and Econometrics
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Citations in the corpus
- Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond (2005, unknown): “97 This argument is based on LATE [Imbens and Angrist (1994)].”
- Managing Environmental Risk in Presence of Climate Change: The Role of Adaptation in the Nile Basin of Ethiopia (2014, background): “In addition, following Heckman et al. (2001), we calculate the effect of the treatment “to adapt” on the treated (TT) as the difference between (6a) and (6c), T T = E ( y1i | Ai = 1)− E ( y2i | Ai = 1) = x1i ( β1 − β2 ) + (σ1η − σ2η) λ1i , (7) which represents the effect of climate change…”
- Does Adaptation to Climate Change Provide Food Security? A Micro-Perspective from Ethiopia (2011, unknown): “In addition, following Heckman et al. (2001), we calculate the effect of the treatment “to adapt” on the treated (TT) as the difference between (a) and (c), TT = E(y1i|Ai = 1) − E(y2i|Ai = 1)(5) = X1i(β1 − β2) + (σ1η − σ2η)λ1i which represents the effect of climate change adaptation on the food…”
- A New Generalized Heterogeneous Data Model (GHDM) to Jointly Model Mixed Types of Dependent Variables (2015, background): “An important approach to do so is the Average Treatment Effect (ATE) (see Heckman and Vytlacil, 2000 and Heckman et al., 2001).”
- Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators? (2005, unknown): “for the DW sample, as is to be expected given that it drops the large contingent of persons with zero earnings in months 13–24 prior to random assignment. The $2748 experimental impact for the Early RA sample is the largest among the three experimental samples. The comparison group samples we use ar”
- Price Knowledge in Household Demand for Utility Services (2005, methodology): “We also describe a “treatment effects” approach (Blundell and Costa Dias 2000; Heckman 2001; Heckman, Tobias, and Vytlacil 2001) to evaluate potential consumption responses to price knowledge.”
- Copula-Based Approach to Accommodate Residential Self-Selection Effects in Travel Behavior Modeling (2009, background): “Heckman and Vytlacil, 2000 and Heckman et al., 2001 define a set of measures to study the influence of treatment, two important such measures being Average Treatment Effect (ATE) and the Effect of Treatment on the Treated (TT).”
- Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009, methodology): “They calculated and compared the average treatment effect (ATE: the average increase in VMT of moving a randomly selected person from an urban neighbourhood to a suburban one, or the true influence of the BE) and the effect of treatment on the treated (TT: the average increase in VMT of having moved”
- Self-Selection in Home Choice (2008, methodology): “Run a binary probit model to obtain ̂ for the treatment decision and then use ̂ to compute the selection-correction terms MTE x xi i D i i D, ( ) ( ) = −( ) + −( ) 1 0 1 1 0 0 15ρ σ ρ σ LATE D Di i i iz z x x( ) = ( )”
- Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia (2012, unknown): “In addition, following Heckman et al. (2001) and Di Falco et al. (2011), the effect of the treatment ‘to adopt’ on the treated (TT) was calculated as the difference between (a) and (c) EðY1i=Gi ¼ 1Þ EðY2i=Gi ¼ 1Þ ¼ J1iða1 a2Þ þ k1iðre1u re2uÞ ¼ TT ð8Þ which represents the effect of improved…”