Rajeev H Dehejia
Biographic Data
| ID | 709045 |
|---|---|
| NAME | Rajeev H Dehejia |
| GIVEN NAMES | Rajeev H |
| FAMILY NAME | Dehejia |
| SIGNATURE | DEHEJIA R H |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 77 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1993 |
| LATEST PUBLICATION YEAR | 2005 |
| H-INDEX | 2 |
Child labor and agricultural shocks
Child Labor: The Role of Financial Development and Income Variability across Countries
In this article, we examine the link between child labor and financial development using cross‐country data. We show that child labor and financial development display a significant negative relationship, which is particularly strong in the sample of low‐income countries and is robust for a wide range of specifications and estimators, including fixed‐effects and instrumental variables. We identify a plausible channel through which financial devel…
Was There a Riverside Miracle? A Hierarchical Framework for Evaluating Programs With Grouped Data
This article discusses the evaluation of programs implemented at multiple sites. Two frequently used methods are pooling the data or using fixed effects (an extreme version of which estimates separate models for each site). The former approach ignores site effects. The latter incorporates site effects but lacks a framework for predicting the impact of subsequent implementations of the program (e.g., would a new implementation resemble Riverside?)…
Propensity Score-Matching Methods for Nonexperimental Causal Studies
This paper considers causal inference and sample selection bias in nonexperimental settings in which (i) few units in the nonexperimental comparison group are comparable to the treatment units, and (ii) selecting a subset of comparison units similar to the treatment units is difficult because units must be compared across a high-dimensional set of pre-treatment characteristics. We discuss the use of propensity score-matching methods, and implemen…
Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs
This article uses propensity score methods to estimate the treatment impact of the National Supported Work (NSW) Demonstration, a labor training program, on postintervention earnings. We use data from Lalonde's evaluation of nonexperimental methods that combine the treated units from a randomized evaluation of the NSW with nonexperimental comparison units drawn from survey datasets. We apply propensity score methods to this composite dataset and …
Religion and Economic Activity in India: An Historical Perspective
It is suggested that there has been and continues to be, a deep interrelationship between religious thought and economic activity in India. This claim is evaluated, first in the context of ancient India (the Mauryan empire), where self-reliance was stressed, both economically and religiously, In the context of medieval India, the ossification of the once flexible caste system had profound economic implications. Based on this historical perspectiv…
Child labor and agricultural shocks
Child Labor: The Role of Financial Development and Income Variability across Countries
In this article, we examine the link between child labor and financial development using cross‐country data. We show that child labor and financial development display a significant negative relationship, which is particularly strong in the sample of low‐income countries and is robust for a wide range of specifications and estimators, including fixed‐effects and instrumental variables. We identify a plausible channel through which financial devel…
Religion and Economic Activity in India: An Historical Perspective
It is suggested that there has been and continues to be, a deep interrelationship between religious thought and economic activity in India. This claim is evaluated, first in the context of ancient India (the Mauryan empire), where self-reliance was stressed, both economically and religiously, In the context of medieval India, the ossification of the once flexible caste system had profound economic implications. Based on this historical perspectiv…
Religion and Economic Activity in India: An Historical Perspective
It is suggested that there has been and continues to be, a deep interrelationship between religious thought and economic activity in India. This claim is evaluated, first in the context of ancient India (the Mauryan empire), where self-reliance was stressed, both economically and religiously, In the context of medieval India, the ossification of the once flexible caste system had profound economic implications. Based on this historical perspectiv…
Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs
This article uses propensity score methods to estimate the treatment impact of the National Supported Work (NSW) Demonstration, a labor training program, on postintervention earnings. We use data from Lalonde's evaluation of nonexperimental methods that combine the treated units from a randomized evaluation of the NSW with nonexperimental comparison units drawn from survey datasets. We apply propensity score methods to this composite dataset and …
Propensity Score-Matching Methods for Nonexperimental Causal Studies
This paper considers causal inference and sample selection bias in nonexperimental settings in which (i) few units in the nonexperimental comparison group are comparable to the treatment units, and (ii) selecting a subset of comparison units similar to the treatment units is difficult because units must be compared across a high-dimensional set of pre-treatment characteristics. We discuss the use of propensity score-matching methods, and implemen…
Was There a Riverside Miracle? A Hierarchical Framework for Evaluating Programs With Grouped Data
This article discusses the evaluation of programs implemented at multiple sites. Two frequently used methods are pooling the data or using fixed effects (an extreme version of which estimates separate models for each site). The former approach ignores site effects. The latter incorporates site effects but lacks a framework for predicting the impact of subsequent implementations of the program (e.g., would a new implementation resemble Riverside?)…
Child labor and agricultural shocks
Child Labor: The Role of Financial Development and Income Variability across Countries
In this article, we examine the link between child labor and financial development using cross‐country data. We show that child labor and financial development display a significant negative relationship, which is particularly strong in the sample of low‐income countries and is robust for a wide range of specifications and estimators, including fixed‐effects and instrumental variables. We identify a plausible channel through which financial devel…
Econometrics (5 works) · Advanced Causal Inference Techniques (3 works) · Economics (3 works) · Mathematics (3 works) · Statistics (3 works) · Artificial Intelligence (2 works) · Average treatment effect (2 works) · Causal inference (2 works) · Child Nutrition and Water Access (2 works) · Computer Science (2 works)