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Microbased Time Series Analysis: Estimating the autocorrelation function using survey sampling IV

Author

Listed:
  • Lundquist, Peter

    (Dept. of Economic Statistics, Stockholm School of Economics)

Abstract

Analysts using data from official statistical authorities often neglect the fact that data frequently are collected using sample surveys. In this paper the impact of sampling error on the estimation of the autocovariance and the autocorrelation function is studied under a micro based superpopulation time series model. Uncritical use of data published by statistical agencies may result in biased estimators. The bias is caused by the sampling error and is different from aggregation bias. Different estimators are investigated theoretically as well as with the help of simulations.

Suggested Citation

  • Lundquist, Peter, 1994. "Microbased Time Series Analysis: Estimating the autocorrelation function using survey sampling IV," SSE/EFI Working Paper Series in Economics and Finance 40, Stockholm School of Economics.
    • Handle: RePEc:hhs:hastef:0040
    as

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    More about this item

    Keywords

    Microbased time series analysis; superpopulation model; sampling error; autocorrelation function;
    All these keywords.

    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; State Space Models
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods

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