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DENTON: Stata module to interpolate a quarterly flow series from annual totals via proportional Denton method

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Author Info
Christopher F Baum () (Boston College)

Additional information is available for the following registered author(s):

Abstract

denton computes the proportional Denton method of interpolation of an annual flow time series by use of an associated "indicator series", imposing the constraints that the interpolated series obeys the annual totals. The method is recommended in IMF publications as "relatively simple, robust, and well-suited for large-scale applications." It may be particularly useful in cases where, due to sizable statistical discrepancy, quarterly series do not integrate to annual totals. The indicator series only contribute their pattern to the interpolation; thus it is quite feasible to use both quarterly and annual flow series expressed at an annual rate. The interpolated series will be at a quarterly rate. Although the procedure is usually applied to flow series (such as GDP), it may be applied to stock series if they are differenced and then integrated via generate..sum(), after adding their initial value. This version of the package also contains dentonmq, a routine to perform the same task for monthly interpolation of a quarterly series. The programs may be applied to a single time series within a panel.

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File URL: http://fmwww.bc.edu/repec/bocode/d/denton.ado
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File URL: http://fmwww.bc.edu/repec/bocode/d/denton.hlp
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File Function: help file
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File URL: http://fmwww.bc.edu/repec/bocode/d/dentonmq.ado
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File Function: program code
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File URL: http://fmwww.bc.edu/repec/bocode/d/dentonmq.hlp
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File Function: help file
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S422501.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
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Programming language: Stata
Requires: Stata version 7.0
Date of creation: 11 Nov 2001
Date of revision: 15 Jul 2008
Handle: RePEc:boc:bocode:s422501

Note: This module may be installed from within Stata by typing "ssc install denton". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

Order Information:
Web: http://repec.org/docs/ssc.php

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: benchmarking; time-series; interpolation;

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Christopher F Baum & Mustafa Caglayan & Neslihan Ozkan, 2003. "The Impact of Macroeconomic Uncertainty on Cash Holdings for Non-Financial Firms," Computing in Economics and Finance 2003 69, Society for Computational Economics. [Downloadable!]
    Other versions:
  2. Christopher F. Baum & Mustafa Caglayan & Neslihan Ozkan & Oleksandr Talavera, 2002. "The Impact of Macroeconomic Uncertainty on Non-Financial Firms' Demand for Liquidity," Boston College Working Papers in Economics 552, Boston College Department of Economics, revised 15 Dec 2005. [Downloadable!]
    Other versions:
  3. Christopher F. Baum & Mustafa Caglayan & Neslihan Ozkan, 2003. "The Impact of Macroeconomic Uncertainty on Trade Credit for Non-Financial Firms," Boston College Working Papers in Economics 566, Boston College Department of Economics. [Downloadable!]
  4. Christopher F Baum, & Mustafa Caglayan & Neslihan Ozkan & Oleksandr Talavera, 2005. "The Impact of Macroeconomic Uncertainty onNon-Financial Firms’ Demandf or Liquidity," Working Papers 2005_26, Department of Economics, University of Glasgow. [Downloadable!]
Statistics
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This page was last updated on 2009-12-5.


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