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dc.contributor.authorGupta, G. S.
dc.contributor.authorChawle, Deepak
dc.date.accessioned2010-03-28T13:41:40Z
dc.date.available2010-03-28T13:41:40Z
dc.date.copyright1979-04
dc.date.issued2010-03-28T13:41:40Z
dc.identifier.urihttp://hdl.handle.net/11718/1763
dc.description.abstractThe paper discusses the reasons for hypothesizing various kinds of lagged variable models, their characteristics and the appropriate methods for estimating them. In particular, the distributed lag model, the partial adjustment model and the expectation model are explained and the Liviatan and/or Almon's methods are recommended for their estimation. These various models and methods are illustrated by hypothesizing and estimating a consumption function for India using annual time series data for 1950-51 through 1975-76. The short-run and long-run marginal propensities to consume are estimated to be 0.29 and 0.90, respectively.en
dc.language.isoenen
dc.relation.ispartofseriesWP;1979/273
dc.subjectLagged variable modelsen
dc.titleLagged variable models and their estimationen
dc.typeWorking Paperen


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