@article{Conopask:157870,
      recid = {157870},
      author = {Conopask, Jeff V.},
      title = {A Data-Pooling Approach to Estimate Employment Multipliers  for Small Regional Economies},
      address = {1978-05},
      number = {1488-2016-124938},
      series = {Technical Bulletin},
      pages = {39},
      year = {1978},
      abstract = {The level of residentiary employment in areas such as  counties is an important component of rural development,  environmental, and energy impact analysis. Volatile  employment changes lead to migration, population, and wage  changes. This study demonstrates a procedure for estimating  disaggregated and lagged economic base multipliers for  short to intermediate term forecasting models. Using an  application of pooled cross-section/time-series data, a  covariance model and an error components model are  demonstrated for Northern Great Plains coal development.  The only sector identified as having a consistent time lag  was mining, and this lag was estimated to be 1 year.},
      url = {http://ageconsearch.umn.edu/record/157870},
      doi = {https://doi.org/10.22004/ag.econ.157870},
}