Results 31 to 40 of about 886,705 (287)
Fertility among women in Ghana: Do child mortality and education matter?
Background: Child mortality and fertility are crucial in determining the growth of a country's population and have implications for public health and family planning interventions.
William Angko +2 more
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Generalized Instrumental Variable Models [PDF]
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Andrew Chesher, Adam Rosen
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Does aid fuel corruption? New evidence from a cross-country analysis
This study estimates the effect of foreign aid on corruption using a Two-Step Least Squares method. We address endogeneity using instrumental variables that capture geographical and cultural proximities between donor and recipient countries.
Albian Krasniqi, Venera Demukaj
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A Robust Instrumental-Variables Estimator [PDF]
The classical instrumental-variables estimator is extremely sensitive to the presence of outliers in the sample. This is a concern because outliers can strongly distort the estimated effect of a given regressor on the dependent variable. Although outlier diagnostics exist, they frequently fail to detect atypical observations because they are ...
Desbordes, Rodolphe, Verardi, Vincenzo
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Estimating the return to education the Brazilian legislation of education as an instrument considering. This paper aims to estimate the impact of education on wages in Brazil.
Wladimir Machado Teixeira +1 more
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Generalized Instrumental Variables
This paper concerns the assessment of direct causal effects from a combination of: (i) non-experimental data, and (ii) qualitative domain knowledge. Domain knowledge is encoded in the form of a directed acyclic graph (DAG), in which all interactions are assumed linear, and some variables are presumed to be unobserved. We provide a generalization of the
Brito, Carlos, Pearl, Judea
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Orthogonal Polynomials for Seminonparametric Instrumental Variables Model [PDF]
We develop an approach that resolves a {\it polynomial basis problem} for a class of models with discrete endogenous covariate, and for a class of econometric models considered in the work of Newey and Powell (2003), where the endogenous covariate is ...
Kovchegov, Yevgeniy, Yildiz, Nese
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Determinantal Generalizations of Instrumental Variables
Linear structural equation models relate the components of a random vector using linear interdependencies and Gaussian noise. Each such model can be naturally associated with a mixed graph whose vertices correspond to the components of the random vector.
Weihs Luca +8 more
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Ophthalmic epidemiology is concerned with the prevalence, distribution and other factors relating to human eye disease. While observational studies cannot avoid confounding factors from interventions, human eye composition and structure are unique, thus,
Jiaxin Li +7 more
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A Gentle Introduction to Instrumental Variables
Instrumental variables (IV) is a central strategy for identifying causal effects in absence of randomized experiments. Clinicians and epidemiologists may find the intuition of IV easy to grasp by comparison to randomized experiments. Randomization is an ideal IV because treatment is assigned randomly, and hence unaffected by everything else. IV methods
Widding-Havneraas, Tarjei +1 more
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