TRAINING KEY 104: Calibration of Weights

Practical Methods for Design and Analysis of Complex Surveys.
Risto Lehtonen and Erkki Pahkinen

TRAINING KEY 104: Calibration of Weights



INTRODUCTION

A) Calibration EXAMPLE: SAS CODE AND OUTPUT

Design-based analysis of survey data requires the use of sampling weights wk derived from the actual sampling design. In model-assisted estimation discussed in Section 3.3, we use auxiliary information to adjust the sampling weights for more efficient estimators. To reach this goal, we first calculate the adjustment weights gk, whose values depend on the chosen calibration method ( poststratification, ratio estimation, regression estimation ) and the realized sample. Finally, a calibrated weight w*k for the sample element k, is the product w*k = gkwk. It is highly recommended that the calibration property is checked by using the calibration equations. Further instructions will be given once you start.
 

 


B) INTERACTIVE SAS USE

Please download the SAS code for your own further training. Select your own sample (or several samples) and calculate calibrated weights (poststratified, ratio and regression weights) with different sample sizes for a SRSWOR sample and make sure that the calculated weights fulfill the calibration equations. The macro parameters used in the application are n = sample size and SEED = seed for the random number generator. You may choose 1 < n < 32 elements in the sample and by changing the seed, a different sample configuration will be obtained.

NOTE! You need to have access to SAS in your computer.