@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}, }