Quantile Regression

Koenker, Roger

doi:10.1017/cbo9780511754098

Cited by 4,181 publications

(1,345 citation statements)

References 0 publications

Supporting

Mentioning

1,181

Contrasting

Unclassified

Order By: Relevance

“…This technique enables us to investigate if the relationship between development dynamics and the exogenous emigration variables differ throughout the distribution of the dependent variable (Koenker & Hallock, 2001). Some studies on the migration-development nexus based on Ordinary Least Squares (OLS) estimation report parameter estimates at the conditional mean of the development indicator.…”

Section: Methodsmentioning

confidence: 99%

The impact of health worker migration on development dynamics: evidence of wealth effects from Africa

Asongu

2013

Eur J Health Econ

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AGDI Working Paper Research DepartmentThe impact of health worker migration on development dynamics: evidence of wealth-effects from Africa

show abstract

Section: Methodsmentioning

confidence: 99%

The impact of health worker migration on development dynamics: evidence of wealth effects from Africa

Asongu

2013

Eur J Health Econ

View full text Add to dashboard Cite

show abstract

“…(3) is not differentiable and so gradient optimization methods are not applicable, linear programming methods can be used to efficiently compute b(u) (Koenker and Hallock, 2001) and consistent estimates of the covariance matrix can be obtained by using bootstrap techniques.…”

Section: Methodsmentioning

confidence: 99%

Decomposing body mass index gaps between Mediterranean countries: A counterfactual quantile regression analysis

Costa‐Font

Fabbri

Gil

2009

Economics & Human Biology

View full text Add to dashboard Cite

“…They hold particular promise in applications to nutrition problems where dietary excess and/or inadequacy questions beg particular attention to the tails of distributions, although there seem to be only a small number of applications so far (9,10) . Accessible introductions to QR methods are available in Koenker and Hallock (11) and Cade and Noon (12) . Some additional statistical explanation is presented in the Appendix.…”

Section: Regression Approaches To Determinants Of Fruit and Vegetablementioning

confidence: 99%

“…Classical linear regression reduces to a special case of QR where the effects of covariates are constrained to be the same across the distribution of the dependent variable. As Koenker and Hallock (11) caution, simply dividing the data into subsets based on values of the dependent variable and applying linear regression to the subsets is not statistically appropriate, and not comparable to quantile regressions. QR fitting at any quantile incorporates information from all sample data points.…”

Section: Appendixmentioning

confidence: 99%

Determinants of fruit and vegetable intake in England: a re-examination based on quantile regression

Boukouvalas

Shankar

Traill

2009

Public Health Nutr.

View full text Add to dashboard Cite

Objective: To examine the sociodemographic determinants of fruit and vegetable (F&V) consumption in England and determine the differential effects of socioeconomic variables at various parts of the intake distribution, with a special focus on severely inadequate intakes. Design: Quantile regression, expressing F&V intake as a function of sociodemographic variables, is employed. Here, quantile regression flexibly allows variables such as ethnicity to exert effects on F&V intake that vary depending on existing levels of intake. Setting: The 2003 Health Survey of England. Subjects: Data were from 11 044 adult individuals. Results: The influence of particular sociodemographic variables is found to vary significantly across the intake distribution. We conclude that women consume more F&V than men; Asians and blacks more than whites; co-habiting individuals more than single-living ones. Increased incomes and education also boost intake. However, the key general finding of the present study is that the influence of most variables is relatively weak in the area of greatest concern, i.e. among those with the most inadequate intakes in any reference group. Conclusions: Our findings emphasise the importance of allowing the effects of socio-economic drivers to vary across the intake distribution. The main finding, that variables which exert significant influence on F&V intake at other parts of the conditional distribution have a relatively weak influence at the lower tail, is cause for concern. It implies that in any defined group, those consuming the least F&V are hard to influence using campaigns or policy levers. Keywords Fruit and vegetables Socio-economic determinants United Kingdom RegressionIncreased consumption of fruit and vegetables (F&V) is at the heart of healthy eating campaigns around the world. The WHO's Global Strategy on Diet, Physical Activity and Health, endorsed by member countries in 2004, includes a global quantitative norm that per capita F&V consumption should exceed 400 g/d. In the UK, this aggregate norm of 400 g/d has been broken down into '5-a-day' portions of at least 80 g each by the Department of Health. The government has invested substantially in promoting the 5-a-day programme, elements of which include the National School Fruit Scheme and a communication strategy incorporating the 5-a-day logo.In keeping with this interest in F&V consumption, a large volume of research has been produced analysing the determinants of F&V intakes by individuals or households. These range from studies involving analysis of large samples drawn from representative populations, to purposively collected information on population subgroups of interest. Research, depending on the available data, has alternatively attempted to relate F&V intakes to sociodemographic, socio-economic, psychological or sensory variables. Often, studies have restricted themselves to statistical comparisons of F&V consumption across demographic or socio-economic groups, in an attempt to identify sub-populations for policy targetin...

show abstract

Quantile Regression

Cited by 4,181 publications

References 0 publications

The impact of health worker migration on development dynamics: evidence of wealth effects from Africa

The impact of health worker migration on development dynamics: evidence of wealth effects from Africa

Decomposing body mass index gaps between Mediterranean countries: A counterfactual quantile regression analysis

Determinants of fruit and vegetable intake in England: a re-examination based on quantile regression

Contact Info

Product

Resources

About