Estimation of Average Treatment Effects Based on Propensity Scores
By Sascha O. Becker, Andrea Ichino. 2002
2,901 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/17d82d54ada7f424681497adb0cc4ded2530e22b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Marco Caliendo
- M. Maertens
- Jeronimo Carballo
- Christian Volpe Martincus
- Jan De Loecker
- Guido W. Imbens
- Sabine Kopeinig
- A. Fernandes
In Statistics and Probability
- Guido W. Imbens
- Marco Caliendo
- Christian Volpe Martincus
- Jeronimo Carballo
- Sabine Kopeinig
- Alfonso Flores-Lagunes
- Carlos A Flores
- M. Maertens
Citations in the corpus
- The Impact of Entrepreneurship Education in High School on Long-Term Entrepreneurial Performance (2015, methodology): “(Becker and Ichino, 2002).”
- Did the EU ETS Make a Difference? An Empirical Assessment Using Lithuanian Firm-Level Data (2016, neutral): “The statistical procedure implemented is extremely demanding in that the balancing property is not rejected only in the case that it holds for every component of the conditioning vector (see Becker and Ichino 2002 for details).”
- A field experiment on the impact of weather shocks and insurance on risky investment (2011, positive): “Matching can also be conducted using estimates of the propensity score with pscore in Stata (Becker and Ichino 2002), however this requires correction of the standard errors (given the two stage estimation procedure) and boot-strapping has been shown inappropriate for this context (Abadie and…”
- Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project (2012, methodology): “A binary choice model is used to generate a “score” which is equal to the probability of receiving treatment, considering both treated and non-treated (control) groups based on a given set of predetermined covariates (Cameron and Trivedi 2005; Becker and Ichino 2002; Imbens and Wooldridge 2008).Se”
- Learning-by-Exporting Effects: Are They for Real? (2015, background): “Another 40 to 42 exporters are excluded because they do not belong to the common support, defined by the interval between the lowest propensity score of the exporters and the highest propensity score of the nonexporters (see Becker and Ichino (2002)).”
- CAN NONEXPERIMENTAL ESTIMATES REPLICATE ESTIMATES BASED ON RANDOM ASSIGNMENT IN EVALUATIONS OF SCHOOL CHOICE? A WITHIN-STUDY COMPARISON (2012, methodology): “…the matched comparisons.20 In caliper matching, the pooled treatment and comparison group sample is split into blocks or calipers based on the value of the propensity score so that within each caliper the 18 For exact details on how these balancing tests are conducted see Becker and Ichino (2002).”
- Going green: does it depend on education, gender or income? (2014, neutral): “’ Matching Estimator (1) (2) (3) Treatment Control AETT Treatment Control AETT Treatment Control AETT n n n n n n Radius matching 638 774 .”
- Trade, Standards, and Poverty: Evidence from Senegal (2009, methodology): “The ATEs can be estimated with OLS as the regression coefficients on W1 and W2 (Imbens, 2004; Wooldridge, 2002).”
- Young Adult Outcomes and the Life-Course Penalties of Parental Incarceration (2016, methodology): “The PSM analyses progress through three steps to produce estimated average treatment effects on the treated (ATT; Becker and Ichino 2002).”