Microbased Time Series Analysis: An efficient estimator of population parameters, using AR(1)-series and auxiliary information
AbstractAn estimator of population parameters for cross sectional analysis is suggested. The estimator is basically the generalised regression estimator (TGR) but with an adjustment derived from optimal predictors of AR(1)-series. The P- properties of the estimator are studied and the efficiency of the estimator is compared to that of TGR. It is shown to be more efficient than TGR in some circumstances.
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Bibliographic InfoPaper provided by Stockholm School of Economics in its series Working Paper Series in Economics and Finance with number 41.
Length: 14 pages
Date of creation: Nov 1994
Date of revision:
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Postal: The Economic Research Institute, Stockholm School of Economics, P.O. Box 6501, 113 83 Stockholm, Sweden
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Microbased time series analysis; superpopulation; Generalised regression estimator;
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
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