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From |
Nick Cox <[email protected]> |

To |
[email protected] |

Subject |
Re: st: how to get monthly values from Bimonthly data |

Date |
Tue, 31 Jul 2012 13:00:11 -0500 |

That wasn't clear. So, you will need to double up. If monthly dates go up in steps of 2 expand 2 bysort date : replace date = date + 1 if _n == 2 On Tue, Jul 31, 2012 at 12:45 PM, sabbas gidarokostas <[email protected]> wrote: > thanks Nick for your reply and the useful code. But I need to convert > these values to monthly data because the rest of my data are only > monthly values. > > cheers > > On 7/31/12, Nick Cox <[email protected]> wrote: >> I would leave these data almost as they are. What you can do is >> >> gen year = real(substr(dates, -4, 4)) >> gen period = substr(dates, 1, 2) >> gen month = cond(per == "JF", 1, cond(per == "MA", 3, cond(per == >> "MJ", 5, cond(per == "JA", 7, cond(per == "SO", 9, cond(per == "ND", >> 11, .)))))) >> >> gen date = ym(year, month) >> tsset id date , delta(2) >> >> The key point is that you have bimonthly data and that's fine. No >> doubling up or interpolation is needed; in fact that can only produce >> a spurious increase in your sample size. >> >> Some people would undoubtedly prefer -recode- for the mapping "JF" -> 1, >> etc. >> >> Nick >> >> On Fri, Jul 27, 2012 at 3:48 AM, sabbas gidarokostas >> <[email protected]> wrote: >>> Dear all, >>> >>> I have the following panel data set >>> clear all >>> input str8 (id text dates values1 >>> values2 ) >>> >>> "1" "ot" " " "" " " >>> "1" "wt" " " "" " " >>> "1" "rt" "MA 2005" "32.4" "2.5" >>> "1" "gh" "MJ 2005" "82.3" "12.5" >>> "1" "bg" "JA 2005" "2.5" "24.5" >>> "1" "se" "SO 2005" "82.5" " " >>> "1" "cv" "ND 2005" "62.3" "26.3" >>> "1" "cv" "JF 2006" "12.2" "22.3" >>> "1" "cv" "MA 2006" "22.1" "2.4" >>> "2" "ot" " " " " " " >>> "2" "wt" " " " " " " >>> "2" "rt" "MA 2005" >>> "2" "gh" "MJ 2005" "32.3" "23.5" >>> "2" "bg" "JA 2005" "52.4" "22.3" >>> "2" "se" "SO 2005" "82.9" "22.5" >>> "2" "cv" "ND 2005" " " "2.5" >>> "2" "cv" "JF 2006" "332.4" " " >>> "2" "cv" "MA 2006" "312.4" "21.5" >>> end >>> The above data set is a sample. >>> Basically,I have 30000 individuals and instead of the last 2 columns >>> that contain the numbers I have 29 such columns. >>> >>> The data set refers to bimontly values. >>> >>> Is there a way to convert the above data to montly data? >>> Specifically, What I think is that first I have to split the dates as >>> follows >>> >>> M/2005 >>> A/2005 >>> M/2005 >>> J/2005 >>> >>> and so forth and then to convert them to >>> >>> 3/2005 >>> 4/2005 >>> 6/2005 >>> and so forth. >>> >>> So regarding the first 3 columns I should get >>> >>> "1" "ot" " " >>> "1" "wt" " " >>> "1" "rt" "3/2005" >>> "1" "rt" "4 2005" >>> "1" "gh" "5/2005" >>> "1" "gh" "6/2005" >>> >>> and so forth.I am not exactly sure how to handle the last two columns, >>> though(numerical values) >>> >>> I think that one way would be to divide the bimonthly values by 2. Then I >>> get >>> >>> "1" "ot" " " >>> "1" "wt" " " >>> "1" "rt" "3/2005" "32.4/2" "2.5/2" >>> "1" "rt" "4 2005" "32.4/2" "2.5/2" >>> "1" "gh" "5/2005" "82.3/5" "12.5/5" >>> "1" "gh" "6/2005" "82.3/5" "12.5/5" >>> >>> I am not sure that this makes sense as I have repeated values for two >>> consequtive months. >>> >>> Another way would be interpolation? >>> >>> Any code provided is greatly appreciated. >> * >> * For searches and help try: >> * http://www.stata.com/help.cgi?search >> * http://www.stata.com/support/statalist/faq >> * http://www.ats.ucla.edu/stat/stata/ >> > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: how to get monthly values from Bimonthly data***From:*sabbas gidarokostas <[email protected]>

**Re: st: how to get monthly values from Bimonthly data***From:*Nick Cox <[email protected]>

**Re: st: how to get monthly values from Bimonthly data***From:*sabbas gidarokostas <[email protected]>

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