@article{WACHTER:1993:TCATAE,
   AUTHOR = {Wachter, K.W.},
    TITLE = {The census-adjustment trial: An exchange},
  JOURNAL = {Jurimetrics},
   VOLUME = {34},
     YEAR = {1993},
    PAGES = {107--115},
      URL = {http://www.popline.org/docs/1190/252420.html},
 ABSTRACT = {This paper takes up two of the four main kinds of errors introduced
             by [census] adjustment. Correlation bias is the error that occurs
             because the post-enumeration survey (PES) tends to miss the same
             people as the census misses, leaving `unreached people' out of the
             adjusted figures. Failures of the synthetic assumption are errors
             that occur when people in the same population group living in
             different places have different true undercount rates, contrary to
             the homogeneity assumption built into the adjustment....These
             errors make it unlikely that the adjustment improves the population
             shares of states and local jurisdictions.},
  EDNOTES = {<abpart>},
   }

        

@article{WACHTER:1993:INE,
   AUTHOR = {Wachter, K.W.},
    TITLE = {Ignoring non-ignorable effects},
  JOURNAL = {Journal of the American Statistical Association},
   VOLUME = {88},
     YEAR = {1993},
    PAGES = {1161--1163},
  EDNOTES = {<access>DOI and abstract should be available at MR and/or CIS},
   }

        

@article{FREEDMAN:1993:ATCOTS,
   AUTHOR = {Freedman, David A. and Wachter, Kenneth W. and Coster, Daniel C.
             and Cutler, Richard and Klein, Stephen P.},
    TITLE = {Adjusting the census of 1990: The smoothing model},
  JOURNAL = {Evaluation Review},
   VOLUME = {17},
     YEAR = {1993},
    PAGES = {371--443},
       ID = {info:doi/10.1177/0193841X9301700401},
 ABSTRACT = {Considering the difficulties, the Census Bureau does a remarkably
             good job at counting people. This article discusses techniques for
             adjusting the census. If there is a large undercount, these
             techniques may be accurate enough for adjustment. With a small
             undercount, they are unlikely to improve on the census; instead,
             adjustment could easily degrade the accuracy of the data. The focus
             will be sampling error, that is, uncertainty in estimates due to
             the luck of the draw in choosing the sample. Sampling error is a
             major obstacle to adjusting the 1990 census, even at the state
             level. To control sampling error, the Census Bureau used a
             smoothing model. However, the model does not solve the problem,
             because its effects are strongly dependent on unverified and
             implausible assumptions. This story has a broader moral.
             Statistical models are often defended on grounds of robustness,
             that is, estimates do not depend strongly on assumptions. But the
             standard errors, which are internally generated measures of
             precision, may be critical. Then caution is in order. If the model
             is at all complicated, the standard errors may turn out to be
             driven by assumptions not data---the antithesis of robustness.},
   }

        

@article{FLOUD:1993:FTOTNS,
   AUTHOR = {Floud, Roderick and Wachter, Kenneth W. and Gregory, Annabel},
    TITLE = {Further thoughts on the nutritional status of the British
             population},
  JOURNAL = {The Economic History Review},
   VOLUME = {46},
     YEAR = {1993},
    PAGES = {367--368},
       ID = {info:doi/10.1111/j.1468-0289.1993.tb01339.x},
     NOTE = {Has no abstract.},
  EDNOTES = {<title>Confusingly, what appears to be a rejoinder, with exactly
             the same title, appears on pp. 363-366 of the same journal - see
             http://www.jstor.org/pss/2598022. Contact author for clarification.},
   }

        

@article{FLOUD:1993:MHHSOT,
   AUTHOR = {Floud, Roderick and Wachter, Kenneth W. and Gregory, Annabel},
    TITLE = {Measuring historical heights -- shortcuts or the long way round: A
             reply to {K}omlos},
  JOURNAL = {The Economic History Review},
   VOLUME = {46},
     YEAR = {1993},
    PAGES = {145--154},
     NOTE = {Has no abstract.},
       ID = {info:doi/10.1111/j.1468-0289.1993.tb01326.x},
   }