Search Results - subject:"Complex survey data"

Too many or too few standards setters? : evidence from the performance of firms engaged in standardization

Riillo, Cesare A. F.; Jakobs, Kai - In: The journal of technology transfer 48 (2023) 6, pp. 2106-2131

Persistent link: https://www.econbiz.de/10014457784

A comment on fitting Pareto tails to complex survey data

Wildauer, Rafael; Kapeller, Jakob - 2019

researchers are facing when fitting (type I) Pareto distributions to complex survey data. The major contribution of this paper is … latter. Second, we summarise key results on goodness of fit tests in the context of complex survey data. Taken together we … think the paper provides a concise and useful presentation of the fundamentals of Pareto tail fitting with complex survey …

Persistent link: https://www.econbiz.de/10012119180

A comment on fitting Pareto tails to complex survey data

Wildauer, Rafael; Kapeller, Jakob - 2019

Persistent link: https://www.econbiz.de/10012117749

Decomposing the Bonferroni inequality index by subgroups: Shapley value and balance of inequality

Giorgi, Giovanni M.; Guandalini, Alessio - In: Econometrics 6 (2018) 2, pp. 1-16

Additive decomposability is an interesting feature of inequality indices which, however, is not always fulfilled; solutions to overcome such an issue have been given by Deutsch and Silber (2007) and by Di Maio and Landoni (2017). In this paper, we apply these methods, based on the 'Shapley value'...

Persistent link: https://www.econbiz.de/10011995219

Decomposing the Bonferroni inequality index by subgroups : shapley value and balance of inequality

Giorgi, Giovanni M.; Guandalini, Alessio - In: Econometrics : open access journal 6 (2018) 2, pp. 1-16

Persistent link: https://www.econbiz.de/10011823313

Resampling variance estimation for complex survey data

Kolenikov, Stanislav - In: Stata Journal 10 (2010) 2, pp. 165-199

In this article, I discuss the main approaches to resampling variance es- timation in complex survey data: balanced … Stata svy suite. The bootstrap for complex survey data is implemented by the bsweights command. I describe this command and …

Persistent link: https://www.econbiz.de/10008455921

Estimating an Earnings Function from Coarsened Data by an Interval Censored Regression Procedure

Daniels, Reza; Rospabé, Sandrine - Development Policy Research Unit, School of Economics - 2005

This paper estimates an earnings function where the dependent variable is a mix of point and interval data using an interval regression model based on a pseudo-maximum likelihood estimation procedure. The analysis uses the 1999 OHS, and takes into account point and interval income observations,...

Persistent link: https://www.econbiz.de/10009395704