Microbased Time Series Analysis: Optimal prediction of aggregated AR(1)- series from survey samples II
AbstractUsing a microbased superpopulation approach (see Cassel and Lundquist (1991), (1990))the question of optimal predictors of a population total of AR(1) series is analysed. Only a sample of the individual timeseries in the population is observed. From the sample the population total is predicted. Sampling aspects as well as aspects concerning the time series models are taken into account.
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Bibliographic InfoPaper provided by Stockholm School of Economics in its series Working Paper Series in Economics and Finance with number 39.
Length: 15 pages
Date of creation: Nov 1994
Date of revision:
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Microbased time series analysis; superpopulation model; sampling error; autocorrelation function; optimal prediction;
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; Diffusion Processes
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
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