%0 Journal Article
	%A Encarnación Álvarez and  Rosa M. García-Fernández and  Juan F. Muñoz and  Francisco J. Blanco-Encomienda
	%D 2014
	%J International Journal of Economics and Management Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 92, 2014
	%T On Estimating the Headcount Index by Using the Logistic Regression Estimator
	%U https://publications.waset.org/pdf/9999084
	%V 92
	%X The problem of estimating a proportion has important
applications in the field of economics, and in general, in many areas
such as social sciences. A common application in economics is
the estimation of the headcount index. In this paper, we define the
general headcount index as a proportion. Furthermore, we introduce
a new quantitative method for estimating the headcount index. In
particular, we suggest to use the logistic regression estimator for the
problem of estimating the headcount index. Assuming a real data set,
results derived from Monte Carlo simulation studies indicate that the
logistic regression estimator can be more accurate than the traditional
estimator of the headcount index.

	%P 1118 - 1120