Showing 1 - 10 of 203
Persistent link: https://www.econbiz.de/10000783160
Persistent link: https://www.econbiz.de/10000893765
Persistent link: https://www.econbiz.de/10011413377
Missing survey data occur because of unit and item non-response. This is practically independent of the method of data collection. As a result of the bias that non-response sometimes introduces in survey estimates, identifying factors that promote it, and taking measures of prevention and...
Persistent link: https://www.econbiz.de/10011477889
We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order correction term is obtained from studying the estimator of the Gini index within a measurement error framework. In addition, it reveals an intuitive formula for the remaining...
Persistent link: https://www.econbiz.de/10011377108
This paper examines the effect of measurement error in the dependent variable on quantile regression, because unlike OLS regression, even classical measurement error can generate bias. I examine the pattern and size of the bias using both simulation and an empirical example. The simulations...
Persistent link: https://www.econbiz.de/10010439168
Persistent link: https://www.econbiz.de/10012037747
Persistent link: https://www.econbiz.de/10012139945
Persistent link: https://www.econbiz.de/10011980268
This study examines recall bias in farm labor by conducting a randomized survey experiment in Ghana. Hours of farm labor obtained from a recall survey conducted at the end of the season are compared with data collected weekly throughout the season. The study finds that the recall method...
Persistent link: https://www.econbiz.de/10012004782