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Food Insecurity or Poverty? Measuring Need-Related Dietary Adequacy

Bhattacharya, Jayanta - 2002

We examine the extent to which food insecurity questions and the standard poverty measure are correlated with various … related to the diets of children. In contrast, poverty predicts dietary outcomes among preschoolers. Among adults, both … poverty and food insecurity questions are good predictors of many dietary outcomes …

Persistent link: https://www.econbiz.de/10012469711

Are Poor Individuals Mainly Found in Poor Households? Evidence using Nutrition Data for Africa

Brown, Caitlin S. - 2017

Antipoverty policies assume that targeting poor households suffices in reaching poor individuals. We question this assumption. Our comprehensive assessment for sub-Saharan Africa reveals that undernourished women and children are spread widely across the household wealth and consumption...

Persistent link: https://www.econbiz.de/10012453666

Estimating Log Models : To Transform or Not to Transform?

Manning, Willard G. - 1999

Data on health care expenditures, length of stay, utilization of health services, consumption of unhealthy commodities, etc. are typically characterized by: (a) nonnegative outcomes; (b) nontrivial fractions of zero outcomes in the population (and sample); and (c) positively-skewed distributions...

Persistent link: https://www.econbiz.de/10012471372

Predictive Regressions

Stambaugh, Robert F. - 1999

When a rate of return is regressed on a lagged stochastic regressor, such as a dividend yield, the regression disturbance is correlated with the regressor's innovation. The OLS estimator's finite-sample properties, derived here, can depart substantially from the standard regression setting....

Persistent link: https://www.econbiz.de/10012471691

One Instrument to Rule Them All : The Bias and Coverage of Just-ID IV

Angrist, Joshua D.; Kolesar, Michal - National Bureau of Economic Research - 2021

Two-stage least squares estimates in heavily over-identified instrumental variables (IV) models can be misleadingly close to the corresponding ordinary least squares (OLS) estimates when many instruments are weak. Just-identified (just-ID) IV estimates using a single instrument are also biased,...

Persistent link: https://www.econbiz.de/10012660095

When is TSLS Actually LATE?

Blandhol, Christine; Bonney, John; Mogstad, Magne; … - National Bureau of Economic Research - 2022

Linear instrumental variable estimators, such as two-stage least squares (TSLS), are commonly interpreted as estimating positively weighted averages of causal effects, referred to as local average treatment effects (LATEs). We examine whether the LATE interpretation actually applies to the types...

Persistent link: https://www.econbiz.de/10012814484

An Adaptive Nonlinear Least Square Algorithm

Dennis, John E. - 1977

NL2SOL is a modular program for solving the nonlinear least-squares problem that incorporates a number of novel features. It maintains a secant approximation S to the second-order part of the least-squares Hessian and adaptively decides when to use this approximation. We have found it very...

Persistent link: https://www.econbiz.de/10012478936

A Monte Carlo Study of Two Robust Alternatives of Least Square Regression Estimation

Hill, Richard W. - 1974

We give some Monte Carlo results on the performance of two robust alternatives to least squares regression estimation - least absolute residuals and the one-step "sine" estimator. We show how to scale the residuals for the sine estimator to achieve constant efficiency at the Gaussian across...

Persistent link: https://www.econbiz.de/10012479068

A Practical Method to Reduce Privacy Loss when Disclosing Statistics Based on Small Samples

Chetty, Raj - 2019

We develop a simple method to reduce privacy loss when disclosing statistics such as OLS regression estimates based on samples with small numbers of observations. We focus on the case where the dataset can be broken into many groups ("cells") and one is interested in releasing statistics for one...

Persistent link: https://www.econbiz.de/10012479578

Clustering, Spatial Correlations and Randomization Inference

Barrios, Thomas - 2010

It is standard practice in empirical work to allow for clustering in the error covariance matrix if the explanatory variables of interest vary at a more aggregate level than the units of observation. Often, however, the structure of the error covariance matrix is more complex, with correlations...

Persistent link: https://www.econbiz.de/10012462895

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