@article{Rahman:200182,
      recid = {200182},
      author = {Rahman, Niaz Md. Farhat and Imam, M. F.},
      title = {GROWTH, INSTABILITY AND FORECASTING OF PIGEON PEA,  CHICKPEA AND FIELD PEA PULSE PRODUCTION IN BANGLADESH},
      journal = {Bangladesh Journal of Agricultural Economics},
      address = {2008-12-31},
      number = {454-2016-36431},
      series = {XXXI},
      pages = {15},
      month = {Dec},
      year = {2008},
      abstract = {The study tried to find out the appropriate models using  latest model selection criteria that could describe the  best growth pattern of pigeon pea, chickpea and field pea  pulse production. The study also tried to measure the  instability, growth rates of pigeon pea, chickpea and field  pea pulse production and to determine the efficient time  series models, to forecast the future pigeon pea, chickpea  and field pea pulse production in Bangladesh. Forecasting  attempts have been made to achieve the target by developing  the models namely, deterministic type growth models. The  magnitude of instability in pigeon pea, chickpea and field  pea pulses production was estimated by computing the  coefficient of variation (CV) and the percentage deviation  from three years moving average values. The study reveals  that the pigeon pea pulse production was relatively stable  (CV being 26.70%) compared to the chickpea (CV being  49.43%) and field pea (CV being 27.78%). Among the  deterministic type models for pigeon pea, chickpea and  field pea pulse production the cubic model is found to be  the most appropriate one. The variation of the growth rates  in pigeon pea pulse production was - 28.71 % to 2.52%, in  chickpea pulse production was -79.49% to 2.56% and in field  pea pulse production was -19.12% to 5.83% during the study  period. For forecasting purposes, we forecasted the pigeon  pea, chickpea and field pea pulse production in Bangladesh  in the year of 2008-09 to 2012-2013.},
      url = {http://ageconsearch.umn.edu/record/200182},
      doi = {https://doi.org/10.22004/ag.econ.200182},
}