[R] Analyzing Intervals between Data

From: Jia Ying Mei <jiamei_at_princeton.edu>
Date: Sat, 26 Jul 2008 20:09:20 -0400

Hi,

The truth is, I really don't have any idea what I want to do code-wise, because I'm not familiar with doing this kind of stuff in R.

What I need is the mean and median for the spell length of a price (i.e. prices change over time, but what is the mean and median of the length of each interval between changes?), see the attached economist pdf file for an idea of what data I am trying to get.

So, I have these two text files that I can merge and fill in the missing values like so:

 > fmt<-"%m/%d/%y"
 > dd<-read.csv("Desktop/R/CDSdate.txt")
 > dd$Date<-as.Date(dd$Date, fmt)
 >library(zoo)
 > data<-read.zoo("Desktop/R/Countrydata.txt", head=T, format=fmt, 
sep="\t")
 >newdata<-merge(data, zoo(,dd$Date)
 >Finaldata<-na.locf(newdata, fromLast=TRUE)

I need some way after this to find the mean and median of the intervals themselves between each price change by country. Looking at the breakdown below, that seems to be mean and median of prices within certain intervals (not sure though), but that is not what I need.

Attached is the rough code in Stata for those who know Stata and can convert into R, but for a different set of data that is formatted the same way. I feel like I've come back to square 1, but ANY help would be appreciated, thanks! If not clear, I can definitely clarify points.

Jia Ying Mei

PS. I want to do this in R because I know it will be less complicated in R and because I don't own Stata.

jim holtman wrote:
> The original example that you sent was in the long format:
>
>
>> brkdn(intervals~country,jymint.df,num.desc=c("mean","median"))
>>
>
> Breakdown of intervals by country
> Level mean median
> au 0.01 0
> br -0.07 1
> cn -0.32 2
> in 0.31 -1
> us -0.4 7
>
>> head(jymint.df,20)
>>
> country intervals
> au1 au 65
> au2 au -54
> au3 au 27
> au4 au -35
> au5 au 23
> au6 au 29
> au7 au -4
> au8 au -49
> au9 au 42
> au10 au -48
> au11 au 51
> au12 au 27
> au13 au -11
> au14 au 0
> au15 au -37
> au16 au 33
> au17 au -32
> au18 au -12
>
> It was not clear exactly how you wanted to come up with the intervals,
> but if you want to do them by country, then the logical place to start
> is the long format. Can you provide and example of exactly what you
> would be doing with the data to get the intervals. It is hard to tell
> from a "word" description what type of data transformations you would
> like to do. Take a small subset of the data and show what the
> before/after objects might look like.
>

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Date	Albania (euro)	Australia (AUD)	Austria (euro)	Belgium (euro)	Brazil (RS)	CZ (Kr)	Cipro (L.?)	Denmark (Kr)	Egitto (euro)	Finland (euro)	France (euro)	Germany (euro)	Greece (euro)	Monaco (euro)	Ireland (euro)	Luxembourg (euro)	Malta (MH)	Nigeria (euro)	Norway (Kr)	Olanda (euro)	Poloma (Pln)	Portugal (euro)	Romania (euro)	SK Slov (Sk)	Slovenia (euro/SIT)	Spain (euro)	Svezia (Kr)	CH (Fr.)	CH Tic. (Fr)	Turkey (euro)	UK (pounds)	USA	Venezuela (US dollars)	Ungheria (Ft.)	Libano (LL)	Italy	Canada (C$)	Costa Rica (USD)	Libia (Dirh)	Messico (N.$)	S. Domingo (RD)	South Africa (R.)	Bulgaria (Leva)	Ethopia (Dirh_
6/30/07	2	2	1.85	1.85	7	60	1.2	15	2	2	1.85	1.85	1.6	1.85	2	1.85	0.9	2.5	17	1.85	9	1.5	2	80	1.6 (383)	1.5	18	2.8	2.7	2.4	1.4	3	3	495	NA	1	NA	NA	NA	NA	NA	NA	NA	NA
3/31/07	2	2	1.85	1.85	7	60	1.2	15	2	2	1.85	1.85	1.6	1.85	2	1.85	0.9	2.5	17	1.85	9	1.5	2	80	1.6 (383)	1.5	18	2.8	2.7	2	1.4	3	3	495	NA	1	NA	NA	NA	NA	NA	NA	NA	NA
11/30/06	2	2	1.85	1.85	7	60	1.2	15	2	2	1.85	1.85	1.6	1.85	2	1.85	0.9	2.5	17	1.85	9	1.5	2	80	480	1.5	18	2.8	2.7	2	1.4	3	3	495	NA	1	NA	NA	NA	NA	NA	NA	NA	NA
5/2/06	2	2	1.85	1.85	7	60	1.2	15	2	2	1.85	1.85	1.6	1.85	2	1.85	0.9	2.5	17	1.85	9	1.5	2	80	480	1.5	18	2.8	2.7	2	1.4	3	3	495	NA	1	NA	NA	NA	NA	NA	NA	NA	NA
1/11/06	2	2	1.85	1.85	7	60	1.2	15	2	2	1.85	1.85	1.6	1.85	2	1.85	0.9	3 (USD)	17	1.85	9	1.5	2	80	480	1.5	18	2.8	2.7	NA	1.4	3	3	495	NA	1	NA	NA	NA	NA	NA	NA	NA	NA
8/5/05	2	2	1.85	1.85	7	60	1.2	15	2	2	1.85	1.85	1.6	1.85	2	1.85	0.9	3 (USD)	17	1.85	9	1.5	2	80	480	1.5	18	2.8	2.7	NA	1.4	3	3	495	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
7/31/05	2	2	1.85	1.85	7	60	1.2	15	2	2	1.85	1.85	1.6	1.85	2	1.85	0.9	3 (USD)	17	1.85	9	1.5	2	80	480	1.5	18	2.8	2.7	NA	1.4	3	3	495	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
4/30/05	2	1.5	1.85	1.85	7	56	1.2	15	2	2	1.85	1.85	1.6	1.85	2	1.85	0.53	3 (USD)	16	1.85	8.4	1.5	2	71	280	1.5	18	2.8	2.7	NA	1.3	2	3	350	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
1/31/05	2	1.5	1.85	1.85	7	56	1.2	15	2.2 (USD)	2	1.85	1.85	1.6	1.85	2	1.85	0.53	3 (USD)	16	1.85	8.4	1.5	2	71	280	1.5	18	2.8	2.7	NA	1.3	2	3	350	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
1/3/05	2	1.5	1.85	1.85	5	56	1.2	15	2.2 (USD)	2	1.85	1.85	1.6	1.85	2	1.85	0.53	3 (USD)	16	1.85	8.4	1.5	2	71	280	1.5	18	2.8	2.7	NA	1.3	2	3	350	3.5	0.9	NA	NA	NA	NA	NA	NA	NA	NA
1/2/05	2	NA	1.85	1.85	NA	56	1.2	15	2.2 (USD)	2	1.85	1.85	1.6	1.85	2	1.85	0.53	3 (USD)	16	1.85	8.4	1.5	2	71	280	1.5	18	2.8	2.7	NA	1.3	2	3	350	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
12/31/04	2 (USD)	NA	1.85	1.85	NA	56	1.2	15	2.2 (USD)	2	1.85	1.85	1.6	1.85	2	1.85	0.53	3 (USD)	16	1.85	8.4	1.4	2	69	280	1.4	18	2.8	2.5	NA	1.3	2	300 (BS)	350	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
11/28/04	2 (USD)	NA	1.85	1.85	NA	56	1.2	15	2.2 (USD)	2	1.85	1.85	1.6	1.85	2	1.85	0.53	3 (USD)	16	1.85	8.4	1.4	2	69	280	1.4	18	2.8	2.5	NA	1.3	2	6000 (BS)	350	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
10/31/04	2 (USD)	NA	1.85	1.85	NA	56	1.2	15	2.2 (USD)	2	1.85	1.85	1.6	1.85	2	1.85	0.53	3 (USD)	16	1.85	8.4	1.4	55000 (lei)	69	280	1.4	18	2.8	2.5	NA	1.3	2	300 (BS)	350	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
9/7/04	2 (USD)	NA	1.85	1.85	4	56	1.2	15	2.2 (USD)	2	1.85	1.85	1.6	1.85	2	1.85	0.53	3 (USD)	16	1.85	8.4	1.4	55000 (lei)	69	280	1.4	18	2.8	2.5	NA	1.3	2	300 (BS)	350	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
6/30/04	2 (USD)	NA	1.85	1.85	4	56	1.2	15	2.2 (USD)	2	1.85	1.85	1.6	1.85	2	1.85	0.53	3 (USD)	16	1.85	8.4	1.2	55000 (lei)	69	280	1.2	18	2.8	2.5	NA	1.3	2	300 (BS)	350	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
4/30/04	2 (USD)	NA	1.85	1.85	4	56	1.2	15	2.2 (USD)	2	1.85	1.85	1.6	1.85	2	1.85	0.5	3 (USD)	16	1.85	8.4	1.2	55000 (lei)	69	280	1.2	18	2.8	2.5	NA	1.3	2	300 (BS)	350	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
12/31/03	2 (USD)	NA	1.85	1.85	4	56	1.2	15	2.2 (USD)	2	1.85	1.85	1.6	1.85	2	1.85	0.5	3 (USD)	16	1.85	8.4	1.2	55000 (lei)	69	280	1.2	18	2.8	2.5	NA	1.3	2	300 (BS)	300	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
11/30/03	2 (USD)	NA	1.85	1.85	4	56	1.2	15	13 (EP)	2	1.85	1.85	1.6	1.85	2	1.85	0.5	3 (USD)	16	1.85	8.4	1.2	55000 (lei)	69	280	1.2	18	2.8	2.5	NA	1.3	2	300 (BS)	300	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
7/10/03	2 (USD)	NA	1.85	1.85	4	56	1.2	15	13 (EP)	2	1.85	1.85	1.6	1.85	2	1.85	0.5	3 (USD)	16	1.85	8.4	1.2	55000 (lei)	69	320	1.2	18	2.8	2.5	NA	1.3	2	300 (BS)	300	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
5/2/03	2 (USD)	NA	1.85	1.85	4	56	1.2	15	8 (EP)	2	1.85	1.85	1.6	1.85	2	1.85	0.5	3 (USD)	16	1.85	8.4	1.2	55000 (lei)	69	320	1.2	18	2.8	2.5	NA	1.3	2	300 (BS)	300	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
3/31/03	2 (USD)	NA	1.85	1.85	3	56	1.2	15	8 (EP)	2	1.85	1.85	1.6	1.85	2	1.85	0.5	3 (USD)	16	1.85	8.4	1.2	55000 (lei)	69	320	1.2	18	2.8	2.5	NA	1.3	2	300 (BS)	300	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
6/30/02	2 (USD)	NA	1.85	1.85	2.5	56	1.2	15	8 (EP)	2	1.85	1.85	1.6	1.85	2	1.85	0.5	3 (USD)	16	1.85	8.4	1.2	55000 (lei)	69	320	1.2	18	2.8	2.5	NA	1.3	2	300 (BS)	300	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
6/10/02	2 (USD)	NA	1.85	1.85	2.5	56	1.2	15	8 (EP)	2	1.85	1.85	1.6	1.85	2	1.85	0.5	3 (USD)	16	1.85	8.4	1.2	55000 (lei)	69	280	1.2	18	2.8	2.5	NA	1.3	2	300 (BS)	300	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
4/28/02	2 (USD)	NA	1.85	1.85	2.5	56	1.2	15	8 (EP)	2	1.85	1.85	1.6	1.85	2	1.85	0.5	3 (USD)	16	1.85	8.4	1.2	55000 (lei)	69	280	1.2	15	2.8	2.5	NA	1.3	2	300 (BS)	250	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
4/25/02	2 (USD)	NA	1.85	1.85	2.5	56	1.2	15	8 (EP)	2	1.85	1.85	1.6	1.85	2	1.85	0.5	3 (USD)	15	1.85	8.4	1.2	55000 (lei)	69	280	1.2	15	2.8	2.5	NA	1.3	2	300 (BS)	250	NA	0.9	NA	NA	NA	NA	NA	NA	NA	NA
2/26/02	2 (USD)	NA	1.85	1.85	2.5	56	1.2	15	8 (EP)	2	1.85	1.85	1.6	1.85	2	1.85	0.5	3 (USD)	15	1.85	8.4	1.2	55000 (lei)	69	280	1.2	15	2.8	2.5	NA	1.3	2	300 (BS)	250	NA	.88 (1.7 lire)	NA	NA	NA	NA	NA	NA	NA	NA
12/31/01	2	NA	26 (Sc)	75 (F.B)	2.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	50 (FL)	0.5	NA	15	4 (Fl.)	8.4	200 (Esc)	55000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	NA	250	3.25	.88 (1.7 lire)	3.5	3	3.6	21	50	15.95	NA	6.5
12/9/01	2	NA	26 (Sc)	50 (F.B)	2.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	50 (FL)	0.5	NA	15	4 (Fl.)	8.4	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	NA	250	3.25	.88 (1.7 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
12/2/01	2	NA	26 (Sc)	50 (F.B)	2.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	50 (FL)	0.5	NA	15	4 (Fl.)	8.4	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	NA	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
11/4/01	2	NA	26 (Sc)	50 (F.B)	2	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	50 (FL)	0.5	NA	15	4 (Fl.)	8.4	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	NA	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
5/3/01	2	NA	26 (Sc)	50 (F.B)	1.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	50 (FL)	0.5	NA	15	4 (Fl.)	8.4	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	NA	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
4/1/01	2	4	26 (Sc)	50 (F.B)	NA	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	50 (FL)	0.5	NA	15	4 (Fl.)	8.4	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	NA	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
2/5/01	2	4	26 (Sc)	50 (F.B)	NA	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	8.4	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	NA	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
5/6/00	2	4	26 (Sc)	50 (F.B)	7.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	8.4	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	NA	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
3/31/00	2	4	26 (Sc)	75 (F.B)	7.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	8.4	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	NA	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
3/18/00	2	4	26 (Sc)	75 (F.B)	7.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	8.4	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	NA	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
1/12/00	2	4	26 (Sc)	75 (F.B)	7.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	8.4	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
12/14/99	2	4	26 (Sc)	75 (F.B)	7.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	8.2	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
10/31/99	2	4	26 (Sc)	75 (F.B)	7.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	8.2	200 (Esc)	6000 (lei)	69	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
9/13/99	2	4	26 (Sc)	75 (F.B)	7.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	8.2	200 (Esc)	6000 (lei)	55	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
8/13/99	2	4	26 (Sc)	75 (F.B)	6.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	8.2	200 (Esc)	6000 (lei)	55	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	NA	6.5
7/30/99	2	4	26 (Sc)	75 (F.B)	6.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	8.2	200 (Esc)	6000 (lei)	55	280	150 (Pts)	15	2.8	2.5	NA	1.3	2	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	160	6.5
5/30/99	2	4	26 (Sc)	75 (F.B)	6.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	8.2	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	160	6.5
5/4/99	2	4	26 (Sc)	75 (F.B)	6.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	6.9	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	160	6.5
1/31/99	2	4	26 (Sc)	75 (F.B)	5.5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	6.9	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	160	6.5
12/31/98	2	4	26 (Sc)	75 (F.B)	5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	6.9	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	160	6.5
12/11/98	2	4	26 (Sc)	75 (F.B)	5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	6.9	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2.5	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	15.95	160	6.5
11/25/98	2	4	26 (Sc)	75 (F.B)	5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	6.9	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2.5	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	12.95	160	6.5
10/14/98	2	4	26 (Sc)	75 (F.B)	5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	7.3	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2.5	300 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	12.95	160	6.5
8/30/98	2	4	26 (Sc)	75 (F.B)	5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	500 (Dr)	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	7.3	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2.5	500 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	12.95	160	6.5
6/30/98	2	4	26 (Sc)	75 (F.B)	5	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	7.3	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2.5	500 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	12.95	160	6.5
3/21/98	2	4	26 (Sc)	75 (F.B)	4.2	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	7.3	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2.5	500 (BS)	250	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	12.95	160	6.5
2/28/98	2	4	26 (Sc)	75 (F.B)	4.2	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	7.3	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2.5	500 (BS)	215	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	12.95	160	6.5
1/13/98	2	4	26 (Sc)	75 (F.B)	4.2	56	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	7.6	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2.5	500 (BS)	215	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	12.95	160	6.5
7/10/97	2	4	26 (Sc)	75 (F.B)	4.2	50	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	7.6	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2.5	500 (BS)	215	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	12.95	160	6.5
5/30/97	240 (Lek)	4	26 (Sc)	75 (F.B)	4.2	50	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	7.6	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2.5	500 (BS)	215	3.25	.77 (1.5 lire)	3	3.5	3.6	21	50	12.95	160	6.5
3/31/97	240 (Lek)	4	26 (Sc)	75 (F.B)	4.2	50	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12 (P.F)	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	7.6	350	6000 (lei)	55	280	250	15	2.8	2.5	NA	1.3	2.5	500 (BS)	215	3.25	.77 (1.5 lire)	3	NA	3.6	21	42	12.95	160	6.5
2/28/97	200	4	26	75	4.2	50	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	5.2	350	6000 (lei)	55	NA	250	15	2.8	2.5	NA	1.3	2.5	500	215	3.25	1.5 (lire)	3	NA	3.6	21	42	12.95	160	6.5
1/26/97	200	4	26	75	4.2	50	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	5.2	350	6000 (lei)	55	NA	250	15	2.8	2.5	NA	1.3	2.5	500	215	3.25	1.5 (lire)	3	NA	360	21	42	12.95	160	6.5
12/31/96	200	4	26	75	4.2	50	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	5.2	350	6000 (lei)	55	NA	250	15	2.8	2.2	NA	1.3	2.5	500	215	3.25	1.5 (lire)	3	NA	360	21	42	12.95	160	6.5
10/8/96	200	4	26	75	3.5	50	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	5.2	350	6000 (lei)	55	NA	250	15	2.8	2.2	NA	1.3	2.5	500	215	3.25	1.5 (lire)	3	NA	360	21	42	12.95	160	6.5
8/14/96	200	4	26	75	3.5	50	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	5.2	350	6000 (lei)	55	NA	250	15	2.8	2.2	NA	1.3	2.5	500	215	3.25	1.5 (lire)	3	NA	360	21	42	11.95	160	6.5
3/29/96	200	4	26	75	3.5	50	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	5.2	350	6000 (lei)	50	NA	250	15	2.8	2.2	NA	1.3	2.5	500	215	3.25	1.5 (lire)	3	NA	360	21	42	11	160	6.5
1/31/96	200	4	26	75	3.5	50	1.2	15	8 (EP)	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	5.2	350	6000 (lei)	50	NA	250	15	2.8	2.2	NA	1.3	2.5	500	215	25	1.5 (lire)	3	NA	360	21	42	11	160	6.5
1/23/96	200	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	5.2	350	6000 (lei)	50	NA	250	15	2.8	2.2	NA	1.3	2.5	500	215	25	1.5 (lire)	3	NA	360	10	42	11	160	6.5
8/9/95	200	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	5.2	350	6000 (lei)	50	NA	250	15	2.8	2.2	NA	1.3	2.5	500	215	25	1.5 (lire)	3	NA	360	10	42	11	70	6.5
5/31/95	200	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	50	NA	250	15	2.8	2.5	NA	1.3	2.5	500	215	25	1.5 (lire)	3	NA	360	10	42	11	70	6.5
4/13/95	200	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	50	NA	250	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.5 (lire)	3	NA	360	10	42	11	70	6.5
4/9/95	200	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	50	NA	250	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.4	3	NA	360	10	42	11	70	6.5
4/7/95	NA	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	50	NA	250	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.4	3	NA	360	10	35	11	70	6.5
4/1/95	NA	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	50	NA	250	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.4	3	NA	360	10	35	7.65	70	6.5
2/22/95	NA	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	250	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.4	3	NA	360	10	35	7.65	70	6.5
12/31/94	NA	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	1.6 (I.L)	75 (FL)	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.3	3	NA	360	10	35	7.65	70	6.5
9/30/94	NA	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	NA	75 (FL)	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.3	3	NA	360	10	35	7.65	70	6.5
7/5/94	NA	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	NA	75 (FL)	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.3	3	NA	360	NA	NA	7.65	70	6.5
4/30/94	NA	4	20	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	NA	75 (FL)	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.3	3	NA	360	NA	NA	7.65	70	6.5
1/31/94	NA	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	NA	75 (FL)	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.3	3	NA	360	NA	NA	7.65	70	6.5
11/30/93	NA	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	NA	50	0.5	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.3	3	NA	360	NA	NA	7.65	70	6.5
9/30/93	NA	4	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	NA	50	0.32	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.3	3	NA	360	NA	NA	7.65	70	6.5
9/5/93	NA	3.5	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	NA	50	0.32	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.3	3	NA	360	NA	NA	7.65	70	6.5
7/31/93	NA	3.5	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	NA	50	0.32	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.5	145	215	25	1.3	2.5	NA	360	NA	NA	7.65	70	6.5
7/24/93	NA	3.5	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	NA	50	0.32	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.5	145	200	25	1.3	2.5	NA	360	NA	NA	7.65	70	6.5
6/30/93	NA	3.5	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	NA	50	0.32	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.25	145	200	25	1.3	2.5	NA	360	NA	NA	7.65	70	6.5
6/27/93	NA	3.5	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	450	12	NA	50	0.32	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.25	145	200	25	1.2	2.5	NA	360	NA	NA	7.65	70	6.5
5/30/92	NA	3.5	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	420	12	NA	50	0.32	NA	15	4 (Fl.)	NA	350	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.25	145	200	25	1.2	2.5	NA	360	NA	NA	7.65	70	6.5
3/30/92	NA	3.5	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	420	12	NA	50	0.32	NA	15	4 (Fl.)	NA	330	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.25	145	200	25	1.2	2.5	NA	360	NA	NA	7.65	70	6.5
9/30/92	NA	3.5	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	420	12	NA	50	0.32	NA	15	4 (Fl.)	NA	330	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.25	145	200	25	1.2	2.5	NA	360	NA	NA	6.95	70	6.5
9/10/92	NA	3.5	26	75	3.5	50	1.2	15	7	10 (FmK)	12 (F)	3.5 (D.M)	420	12	NA	50	0.32	NA	15	4 (Fl.)	NA	330	6000 (lei)	NA	NA	230	15	2.8	2.5	NA	1.3	2.25	145	200	25	1.2	2.5	NA	360	NA	NA	4.5	70	6.5
8/30/91	NA	3	22	60	NA	NA	1.2	13	7	8	10	2.6	420	10	NA	50	0.32	NA	13	3	NA	330	NA	NA	NA	230	11	2.8	2	NA	0.95	2	NA	NA	25	1.2	2	NA	360	NA	NA	4.5	NA	6.5
7/31/91	NA	3	22	60	NA	NA	1.2	13	7	8	10	2.6	350	10	NA	50	0.32	NA	13	3	NA	250	NA	NA	NA	190	11	2.3	2	NA	0.95	2	NA	NA	25	1.2	2	NA	360	NA	NA	4.5	NA	6.5
6/30/91	NA	3	22	60	NA	NA	1.2	13	7	8	10	2.6	300	10	NA	50	0.32	NA	13	3	NA	250	NA	NA	NA	190	11	2.3	2	NA	0.95	2	NA	NA	25	1.2	2	NA	360	NA	NA	4.5	NA	6.5
11/30/90	NA	2.4	22	60	NA	NA	1.2	13	7	8	10	2.6	300	10	NA	50	0.32	NA	13	3	NA	250	NA	NA	NA	190	11	2.3	2	NA	0.95	2	NA	NA	25	1.2	2	NA	360	NA	NA	4.5	NA	6.5
10/11/90	NA	2.4	22	60	NA	NA	1.2	13	7	8	10	2.6	300	10	NA	50	0.32	NA	13	3	NA	250	NA	NA	NA	190	11	2.3	2	NA	0.95	2	NA	NA	25	1.2	2	NA	360	NA	NA	4.5	NA	4.5
9/5/90	NA	2	22	60	NA	NA	650 (Mills)	13	7	8	10	2.6	300	10	NA	50	0.32	NA	13	3	NA	250	NA	NA	NA	190	11	2.3	2	NA	0.95	2	NA	NA	25	1.2	1.75	NA	360	NA	NA	4.5	NA	4.5
7/31/90	NA	2	20	55	NA	NA	650 (Mills)	11	NA	7	9	2.3	300	9	NA	42	0.32	NA	12	2.7	NA	200	NA	NA	NA	175	11	2	1.8	NA	0.8	1.75	NA	NA	25	1	1.75	NA	360	NA	NA	3.8	NA	4.5
6/30/90	NA	2	20	55	NA	NA	650 (Mills)	11	NA	7	9	2.3	200	9	NA	42	0.32	NA	12	2.7	NA	200	NA	NA	NA	175	11	2	1.8	NA	0.8	1.75	NA	NA	25	1	1.75	NA	360	NA	NA	3.8	NA	4.5

   ----------use"/Users/raphaelschoenle/Documents/research/2006/international

   finance/Economist  data/date.dta",  clear  merge  year month day using
   "/Users/raphaelschoenle/Documents/research/         2006/international
   finance/Economist  data/economist_temp.dta" drop _merge gen counter=_n
   replace year = 2000 if year==0 replace year = 2001 if year==1 replace year =    year + 1900 if year<2000 sort year month day replace us= us[_n-1] if us==.    replace uk= uk[_n-1] if uk==. replace cada= cada[_n-1] if cada==. replace    france= france[_n-1] if france==. replace germany= germany[_n-1] if    germany==. replace italy= italy[_n-1] if italy==. replace netherlands=    netherlands[_n-1] if netherlands==. replace chi= chi[_n-1] if chi==. replace    russiaus= russiaus[_n-1] if russiaus==. replace india= india[_n-1] if    india==. replace brazil= brazil[_n-1] if brazil==. replace bahrain=    bahrain[_n-1] if bahrain==. replace mexico= mexico[_n-1] if mexico==.    replace uae= uae[_n-1] if uae==. replace switzerland= switzerland[_n-1] if    switzerland==. replace guya= guya[_n-1] if guya==. replace peru= peru[_n-1]    if peru==. replace israel= israel[_n-1] if israel==. replace southafrica=    southafrica[_n-1] if southafrica==. replace pamaus= pamaus[_n-1] if    pamaus==. replace argenti= argenti[_n-1] if argenti==. replace saudiarabia=    saudiarabia[_n-1] if saudiarabia==. replace japan= japan[_n-1] if japan==.    replace hongkong= hongkong[_n-1] if hongkong==. replace egypt= egypt[_n-1]    if egypt==. replace austalia= austalia[_n-1] if austalia==. replace chile=    chile[_n-1] if chile==. replace colombia= colombia[_n-1] if colombia==.    replace ecuadorus= ecuadorus[_n-1] if ecuadorus==. replace jamaica=    jamaica[_n-1] if jamaica==. replace venezuela= venezuela[_n-1] if    venezuela==. gen time=_n tsset time gen dp_us=log(us/L1.us) gen
   dp_uk=log(uk/L1.uk)       gen       dp_cada=log(cada/L1.cada)      gen
   dp_france=log(france/L1.france) gen dp_germany=log(germany/L1.germany) gen
   dp_italy=log(italy/L1.italy) gen
   dp_netherlands=log(netherlands/L1.netherlands) gen dp_chi=log(chi/L1.chi)
   gen dp_russiaus=log(russiaus/L1.russiaus) gen dp_india=log(india/L1.india)    gen dp_brazil=log(brazil/L1.brazil) gen dp_bahrain=log(bahrain/L1.bahrain)    gen dp_mexico=log(mexico/L1.mexico) gen dp_uae=log(uae/L1.uae) gen    dp_switzerland=log(switzerland/L1.switzerland)gendp_guya=log(guya/L1.guya)    gen dp_peru=log(peru/L1.peru) gen dp_israel=log(israel/L1.israel) gen
   dp_southafrica=log(southafrica/L1.southafrica)                     gen
   dp_pamaus=log(pamaus/L1.pamaus) gen dp_argenti=log(argenti/L1.argenti) gen
   dp_saudiarabia=log(saudiarabia/L1.saudiarabia)                     gen
   dp_japan=log(japan/L1.japan) gen dp_hongkong=log(hongkong/L1.hongkong) gen
   dp_egypt=log(egypt/L1.egypt) gen dp_austalia=log(austalia/L1.austalia) gen
   dp_chile=log(chile/L1.chile) gen dp_colombia=log(colombia/L1.colombia) gen
   dp_ecuadorus=log(ecuadorus/L1.ecuadorus) gen
   dp_jamaica=log(jamaica/L1.jamaica) gen
   dp_venezuela=log(venezuela/L1.venezuela) replace dp_us= dp_us[_n-1] if
   dp_us==0  replace  dp_uk=  dp_uk[_n-1]  if  dp_uk==0  replace dp_cada=
   dp_cada[_n-1]  if  dp_cada==0  replace  dp_france=  dp_france[_n-1] if
   dp_france==0 replace dp_germany= dp_germany[_n-1] if dp_germany==0 replace
   dp_italy=   dp_italy[_n-1]   if  dp_italy==0  replace  dp_netherlands=
   dp_netherlands[_n-1] if dp_netherlands==0 replace dp_chi= dp_chi[_n-1] if
   dp_chi==0 replace dp_russiaus= dp_russiaus[_n-1] if dp_russiaus==0 replace    dp_india= dp_india[_n-1] if dp_india==0 replace dp_brazil= dp_brazil[_n-1]    if dp_brazil==0 replace dp_bahrain= dp_bahrain[_n-1] if dp_bahrain==0    replace dp_mexico= dp_mexico[_n-1] if dp_mexico==0 replace dp_uae=
   dp_uae[_n-1] if dp_uae==0 replace dp_switzerland= dp_switzerland[_n-1] if
   dp_switzerland==0 replace dp_guya= dp_guya[_n-1] if dp_guya==0 replace
   dp_peru= dp_peru[_n-1] if dp_peru==0 replace dp_israel= dp_israel[_n-1] if
   dp_israel==0    replace    dp_southafrica=   dp_southafrica[_n-1]   if
   dp_southafrica==0 replace dp_pamaus= dp_pamaus[_n-1] if dp_pamaus==0 replace
   dp_argenti=  dp_argenti[_n-1] if dp_argenti==0 replace dp_saudiarabia=
   dp_saudiarabia[_n-1] if dp_saudiarabia==0 replace dp_japan= dp_japan[_n-1]
   if dp_japan==0 replace dp_hongkong= dp_hongkong[_n-1] if dp_hongkong==0    replace dp_egypt= dp_egypt[_n-1] if dp_egypt==0 replace dp_austalia=
   dp_austalia[_n-1] if dp_austalia==0 replace dp_chile= dp_chile[_n-1] if
   dp_chile==0 replace dp_colombia= dp_colombia[_n-1] if dp_colombia==0 replace
   dp_ecuadorus= dp_ecuadorus[_n-1] if dp_ecuadorus==0 replace dp_jamaica=
   dp_jamaica[_n-1] if dp_jamaica==0 replace dp_venezuela= dp_venezuela[_n-1]
   if dp_venezuela==0 sort year month day save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist  data/economist  data  final.dta", replace log using
   "/Users/raphaelschoenle/Documents/research/2006/         international
   finance/Economist     data/economistspells",     replace     t     use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort us drop if
   us==. by us: egen us_spell=count(us) collapse (mean) us_spell dp_us, by(us)
   save     "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist us spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist data final.dta", clear sort uk drop if    uk==. by uk: egen uk_spell=count(uk) collapse (mean) uk_spell dp_uk, by(uk)    save "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist uk spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort cada drop if
   cada==. by cada: egen cada_spell=count(cada) collapse (mean) cada_spell    dp_cada, by(cada) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist cada spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort france drop if
   france==. by france: egen france_spell=count(france) collapse (mean)    france_spell dp_france, by(france) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist france spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort germany drop if
   germany==. by germany: egen germany_spell=count(germany) collapse (mean)    germany_spell dp_germany, by(germany) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist germany spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort italy drop if
   italy==. by italy: egen italy_spell=count(italy) collapse (mean) italy_spell    dp_italy, by(italy) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist italy spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort netherlands
   drop if netherlands==. by netherlands: egen    netherlands_spell=count(netherlands) collapse (mean) netherlands_spell    dp_netherlands, by(netherlands) save
   "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist netherlands spell.dta", replace sum, detail    use "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist data final.dta", clear sort chi drop if    chi==. by chi: egen chi_spell=count(chi) collapse (mean) chi_spell dp_chi,    by(chi)save"/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist chi spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort russiaus drop
   if russiaus==. by russiaus: egen russiaus_spell=count(russiaus) collapse
   (mean)      russiaus_spell      dp_russiaus,     by(russiaus)     save
   "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist russiaus spell.dta", replace sum, detail    use "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist data final.dta", clear sort india drop if    india==. by india: egen india_spell=count(india) collapse (mean) india_spell    dp_india, by(india) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist india spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort brazil drop if
   brazil==. by brazil: egen brazil_spell=count(brazil) collapse (mean)    brazil_spell dp_brazil, by(brazil) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist brazil spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort bahrain drop if
   bahrain==. by bahrain: egen bahrain_spell=count(bahrain) collapse (mean)    bahrain_spell dp_bahrain, by(bahrain) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist bahrain spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort mexico drop if
   mexico==. by mexico: egen mexico_spell=count(mexico) collapse (mean)    mexico_spell dp_mexico, by(mexico) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist mexico spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort uae drop if
   uae==. by uae: egen uae_spell=count(uae) collapse (mean) uae_spell dp_uae,    by(uae)save"/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist uae spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort switzerland
   drop if switzerland==. by switzerland: egen    switzerland_spell=count(switzerland) collapse (mean) switzerland_spell    dp_switzerland, by(switzerland) save
   "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist switzerland spell.dta", replace sum, detail    use "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist data final.dta", clear sort guya drop if    guya==. by guya: egen guya_spell=count(guya) collapse (mean) guya_spell    dp_guya, by(guya) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist guya spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort peru drop if
   peru==. by peru: egen peru_spell=count(peru) collapse (mean) peru_spell    dp_peru, by(peru) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist peru spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort israel drop if
   israel==. by israel: egen israel_spell=count(israel) collapse (mean)    israel_spell dp_israel, by(israel) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist israel spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort southafrica
   drop if southafrica==. by southafrica: egen    southafrica_spell=count(southafrica) collapse (mean) southafrica_spell    dp_southafrica, by(southafrica) save
   "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist southafrica spell.dta", replace sum, detail    use "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist data final.dta", clear sort pamaus drop if    pamaus==. by pamaus: egen pamaus_spell=count(pamaus) collapse (mean)    pamaus_spell dp_pamaus, by(pamaus) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist pamaus spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort argenti drop if
   argenti==. by argenti: egen argenti_spell=count(argenti) collapse (mean)    argenti_spell dp_argenti, by(argenti) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist argenti spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort saudiarabia
   drop if saudiarabia==. by saudiarabia: egen    saudiarabia_spell=count(saudiarabia) collapse (mean) saudiarabia_spell    dp_saudiarabia, by(saudiarabia) save
   "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist saudiarabia spell.dta", replace sum, detail    use "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist data final.dta", clear sort japan drop if    japan==. by japan: egen japan_spell=count(japan) collapse (mean) japan_spell    dp_japan, by(japan) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist japan spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort hongkong drop
   if hongkong==. by hongkong: egen hongkong_spell=count(hongkong) collapse
   (mean)      hongkong_spell      dp_hongkong,     by(hongkong)     save
   "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist hongkong spell.dta", replace sum, detail    use "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist data final.dta", clear sort egypt drop if    egypt==. by egypt: egen egypt_spell=count(egypt) collapse (mean) egypt_spell    dp_egypt, by(egypt) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist egypt spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort austalia drop
   if austalia==. by austalia: egen austalia_spell=count(austalia) collapse
   (mean)      austalia_spell      dp_austalia,     by(austalia)     save
   "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist austalia spell.dta", replace sum, detail    use "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist data final.dta", clear sort chile drop if    chile==. by chile: egen chile_spell=count(chile) collapse (mean) chile_spell    dp_chile, by(chile) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist chile spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort colombia drop
   if colombia==. by colombia: egen colombia_spell=count(colombia) collapse
   (mean)      colombia_spell      dp_colombia,     by(colombia)     save
   "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist colombia spell.dta", replace sum, detail    use "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist data final.dta", clear sort ecuadorus drop    if ecuadorus==. by ecuadorus: egen ecuadorus_spell=count(ecuadorus) collapse    (mean) ecuadorus_spell dp_ecuadorus, by(ecuadorus) save    "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist ecuadorus spell.dta", replace sum, detail    use "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist data final.dta", clear sort jamaica drop if    jamaica==. by jamaica: egen jamaica_spell=count(jamaica) collapse (mean)    jamaica_spell dp_jamaica, by(jamaica) save
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist jamaica spell.dta", replace sum, detail use
   "/Users/raphaelschoenle/Documents/research/2006/international
   finance/Economist data/economist data final.dta", clear sort venezuela drop
   if venezuela==. by venezuela: egen venezuela_spell=count(venezuela) collapse
   (mean)     venezuela_spell     dp_venezuela,     by(venezuela)    save
   "/Users/raphaelschoenle/Documents/research/2006/international    finance/Economist data/economist venezuela spell.dta", replace sum, detail    log close



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