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Ramalho, E. A., Ramalho, J. J. S. & Evangelista, R. (2017). Combining micro and macro data in hedonic price indexes. Statistical Methods and Applications. 26 (2), 317-332
E. A. Ramalho et al., "Combining micro and macro data in hedonic price indexes", in Statistical Methods and Applications, vol. 26, no. 2, pp. 317-332, 2017
@article{ramalho2017_1732200649377, author = "Ramalho, E. A. and Ramalho, J. J. S. and Evangelista, R.", title = "Combining micro and macro data in hedonic price indexes", journal = "Statistical Methods and Applications", year = "2017", volume = "26", number = "2", doi = "10.1007/s10260-016-0367-6", pages = "317-332", url = "http://link.springer.com/article/10.1007%2Fs10260-016-0367-6" }
TY - JOUR TI - Combining micro and macro data in hedonic price indexes T2 - Statistical Methods and Applications VL - 26 IS - 2 AU - Ramalho, E. A. AU - Ramalho, J. J. S. AU - Evangelista, R. PY - 2017 SP - 317-332 SN - 1618-2510 DO - 10.1007/s10260-016-0367-6 UR - http://link.springer.com/article/10.1007%2Fs10260-016-0367-6 AB - This paper proposes arithmetic and geometric Paasche quality-adjusted price indexes that combine micro data from the base period with macro data on the averages of asset prices and characteristics at the index period. The suggested indexes have two types of advantages relative to traditional Paasche indexes: (i) simplification and cost reduction of data acquisition and manipulation; and (ii) potentially greater efficiency and robustness to sampling problems. A Monte Carlo simulation study and an empirical application concerning the housing market illustrate some of those advantages. ER -