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Regional differences in diabetes across Europe : regression and causal forest analyses

Elek, Petér S.; Bíró, Anikó - 2020

We examine regional differences in diabetes within Europe, and relate them to variations in socio-economic conditions …, comorbidities, health behaviour and diabetes management. Using SHARE (Survey of Health, Ageing and Retirement in Europe) data, first … regional differences in incidence with causal random forests. Compared to Western Europe, the transition odds to diabetes is 2 …

Persistent link: https://www.econbiz.de/10012253973

One Size Does Not Fit All : Quantile Regression Estimates of Cross-Country Risk of Poverty and Social Exclusion in Europe

Bosco, Bruno - 2017

Using a macro panel of 31 European countries, this paper shows that the application of a QR procedure to the estimation of poverty risk offers a picture of poverty determinants and cross country poverty differences more reliable than that emerging from conditional mean estimations. The extent...

Persistent link: https://www.econbiz.de/10012946857

Wages and Weight in Europe: Evidence using Quantile Regression Model

Atella, Vincenzo; Pace, Noemi; Vuri, Daniela - Centre for Household, Income, Labour and Demographic … - 2007

The aim of this research is to investigate the relationship between obesity and wages, using data for nine countries from the European Com- munity Household Panel (ECHP) over the period 1998-2001. We improve upon the existing literature by adopting a Quantile Regression approach to characterize...

Persistent link: https://www.econbiz.de/10005518892

Are employers discriminating with respect to weight? European Evidence using Quantile Regression

Atella, Vincenzo; Pace, Noemi; Vuri, Daniela - Centro di Studi Internazionali Sull'Economia e la … - 2008

The aim of this research is to investigate the relationship between obesity and wages, using data for nine countries from the European Community Household Panel (ECHP) over the period 1998-2001. We improve upon the existing literature by adopting a Quantile Regression approach to characterize...

Persistent link: https://www.econbiz.de/10005795458

Is Health Care Expenditure Really a Luxury Good? Re-assessment and New Evidence Based on OECD Data

Atella, Vincenzo; Marini, Giorgia - In: Rivista di Politica Economica 97 (2007) 2, pp. 87-120

The aim of the paper is to present new evidence on the relationship between income and health expenditure allowing for (i) substitution and complementary relationships between private and public health expenditure, (ii) presence of structural breaks in the dependent variables, and (iii) presence...

Persistent link: https://www.econbiz.de/10005247933

Is Health Care Expenditure Really a Luxury Good? Re-Assessment and New Evidence Based on OECD Data

Atella, Vincenzo; Marini, Giorgia - 2013

The aim of the paper is to present new evidence on the relationship between income and health care expenditure allowing for (i) substitution and complementary relationships between private and public health care expenditure, (ii) presence of structural breaks in the dependent variables, and...

Persistent link: https://www.econbiz.de/10014088790

The COVID report card

Czasonis, Megan; Kritzman, Mark; Pamir, Baykan; … - 2020 - This version: October 16, 2020

The authors model COVID infections and COVID deaths, both reported and implied, for the 50 U.S. states as well as the District of Columbia, and separately for a sample of 33 countries, as a function of pre-existing circumstances that citizens have no ability to control over the short term. These...

Persistent link: https://www.econbiz.de/10012502027

Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models

Su, Liangjun - 2015

In this paper, we consider sieve instrumental variable quantile regression (IVQR) estimation of functional coefficient models where the coefficients of endogenous regressors are unknown functions of some exogenous covariates. We approximate the unknown functional coefficients by some basis...

Persistent link: https://www.econbiz.de/10013028566

Cluster-robust jackknife and bootstrap inference for binary response models

MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - 2024

We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We study several alternatives. Conceptually the simplest of these, but also the most computationally demanding, involves...

Persistent link: https://www.econbiz.de/10015048740

Leverage, influence, and the jackknife in clustered regression models : reliable inference using summclust

MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - 2022

Cluster-robust inference is widely used in modern empirical work in economics and many other disciplines. The key unit of observation is the cluster. We propose measures of "high-leverage" clusters and "influential" clusters for linear regression models. The measures of leverage and partial...

Persistent link: https://www.econbiz.de/10013169182