@article{Sanint:148826,
      recid = {148826},
      author = {Sanint, Luis R.},
      title = {Applying Principal Components Regression Analysis to Time  Series Demand Estimation},
      journal = {Agricultural Economics Research},
      address = {1982-07},
      number = {1489-2016-126001},
      pages = {7},
      year = {1982},
      abstract = {Demand functions for rice in Colombia and Venezuela,  estimated by means of ordinary least square, were  unsatisfactory because of problems with multicollinearity  An alternative approach, principal components regression,  was tried Results showed that principal components  regression estimates were more consistent with theoretical  expectations and were statistically more significant The  cost of these gains was that the coefficients were biased  However, the mean-square-error tests indicated that the  reduction in variance outweighed the loss due to bias},
      url = {http://ageconsearch.umn.edu/record/148826},
      doi = {https://doi.org/10.22004/ag.econ.148826},
}