Abstract:
cipolate creates newvar = yvar where yvar is not missing and fills in newvar with cubicly interpolated values of yvar where yvar is missing. Interpolated values are based on exact fitting of a cubic curve to two data points before and two data points after each observation for which yvar is missing. cipolate will thus produce missing values whenever fewer than two data points are present on either side. Note that this is not a spline method. Extrapolation is not provided, mainly because of reservations about the general (and even particular) wisdom of extrapolating cubics into the unknown. Some users may wish to extrapolate any remaining missing values linearly using ipolate.
Language: Stata Requires: Stata version 7.0 Keywords:cubic interpolation; Lagrange; ipolate; missing values (search for similar items in EconPapers) Date: Written 2002-07-04 Note: This module may be installed from within Stata by typing "ssc install cipolate". Windows users should not attempt to download these files with a web browser.
More software in Statistical Software Components from Boston College Department of Economics Address: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA Contact information at EDIRC. Series data maintained by Christopher F Baum ().
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