@article{(Open Science Index):https://publications.waset.org/pdf/9999084,
	  title     = {On Estimating the Headcount Index by Using the Logistic Regression Estimator},
	  author    = {Encarnación Álvarez and  Rosa M. García-Fernández and  Juan F. Muñoz and  Francisco J. Blanco-Encomienda},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {8},
	  number    = {8},
	  year      = {2014},
	  pages     = {1118 - 1120},
	  ee        = {https://publications.waset.org/pdf/9999084},
	  url   	= {https://publications.waset.org/vol/92},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 92, 2014},