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Error r(123) when running a marginscontplot

May 17, 2017, 10:13 am
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Hey STATALIST

I am working on an assignment, where i am examining Public Service Motivation's (PSM) effect on the likelihood that individuals would want to work in the public sector.
PSM is at continuous variable and public sector is a dummyvariable denoted off (0="does not want to work in the public sector" and 1="Wants to work in the public sector").
I am using the following logit command: logit off PSM i.v71_1 i.sektor_* i.køn v25 i.v59_*
And then a margins command: margins, dydx(*)

But when a problem occurs, when I want to make a graphical representation with the following command: marginscontplot PSM, ci
I get the following error messages, and STATA says its has to do with a r(123) error that is "invalid numlist has too many elements".

Are there a way around this problem?
Array
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Meta-Frontier Analysis in Stata: Estimation

May 17, 2017, 10:27 am
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Does anyone know how to estimate a Meta-Frontier Production Function in Stata? Any syntax ideas would help. The only work I have seen so far about Meta-frontier analysis has been in Shazam Software. Thanks.
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Markers on scatter plot overlapping the labels

May 17, 2017, 11:05 am
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Hi I'm trying to produce a scatter plot but unfortunately the markers in the diagram overlap some of the labels of other markers. Changing the position of the label relative to the marker will not help because there are markers at any degre around the labels ...
Therefore I want to set the labels to be above all the markers (and not only above some of them like can be seen in the example picture below). How can this be done?

This is my command:

graph twoway (scatter Etn psychometric, mlabel(labels) mlabv(pos) mlabcolor(grey)) (lfit Etn psychometric), graphregion(color(gs16)) legend(size(small) label(1 "Majors") label(2 "Linear fit")) /// ytitle("Share of Etn Applications" " ", size(small)) xtitle(" " "Mean Psychometric of Applicants" " ", size(small)) title("Share of Etn Applications and Mean Psychometric" "For Each Major") /// subtitle("First choice, age <= 30")


Array

Thanks, Ami
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Need to Calculate yearly &quot;t&quot; value for monthly rolling beta's of multiple firms

May 17, 2017, 11:22 am
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Dear All,

I am converting my Monthly Rolling Beta's of multiple firms into yearly average value Beta for all firms, and that is going well with these codes
Code:
gen year = year(dofm(month_year))
format year %ty
collapse beta_mkt beta_w, by (id_firm year)
collapse beta_mkt beta_w, by (year)
But Now problem is that i also want to report t stat for each yearly beta by using formula {beta/sd(beta)sqrt(N)}, but unable to code this. please help in this regards.
Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input float(year beta_mkt beta_w)
2000 .8671392 -.010338334
2001 .7339575 -.019243315
2002 .7249059    .0655215
end
format %ty year
I just want that with each beta value of t is also reported. please help
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Cluster regression or mixed-effect model

May 17, 2017, 11:22 am
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I would ordinarily have chose mixed-effect/multilevel models in this example:

...dataset contains data on 400 schools that come from 37 school districts. It is very possible that the scores within each school district may not be independent, and this could lead to residuals that are not independent within districts. We can use the cluster option to indicate that the observations are clustered into districts...(https://stats.idre.ucla.edu/stata/we...-4-beyond-ols/)

But the tutorial suggests cluster regression. What is the difference between cluster regression and mixed/multilevel models? And when should I use each?
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Warning: variance matrix is nonsymmetric or highly singular

May 17, 2017, 11:58 am
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Hi All,

I have a panel data with retailer, year, host country, home country, and store format type fixed effects. I using the xtscc command with the fe option to control for serial correlation and heteroskedasticity. I run the following model:

xtscc lnbannersales_store sfd lncheckouts countries_regions sqcountries_regions cubecountries_regions foreignmarketgrowth intspeed globecultdist lnpoldist lnhomeregionsales poldistcountriesregions sqcountriesreg_poldist cubecountriesreg_poldist globecultdist_countriesregions sqcountriesreg_globecultdist cubecountriesreg_globecultdist, fe

But I get the following error message: Warning: variance matrix is nonsymmetric or highly singular.

When I drop the fe option, I don't have this problem. Any ideas what the problem could be?

Thank you!

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Exporting the results of a sorted sum command to a table

May 17, 2017, 12:16 pm
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Hi,
I am a new STATA user, working with panel data. I want to report on the summary statistics for a variable called obpadj for each year. To do this, I used the command: by year, sort: sum odpadj. I want to now report these results in a table that I can export into word. I have looked at both the esttab and outreg2 functions, which I understand how to use to create tables for regression results and basic summary stats, but I cannot find any information on how to apply it to my particular situation.

I appreciate any help/feedback.

Thank you,
Anthony M.
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We're hiring for Stata gurus - New York

May 17, 2017, 12:58 pm
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Hi all,

Apologies in advance if this post is not appropriate for the forum; I read through the FAQs and could not find specific guidance.

The Behavioral Insights Team in New York is hiring for a Research Associate Advisor / Advisor (exact position depends on experience). If you love data, have an impressive command of econometrics, statistical modelling, experience running randomized controlled trials, and an in-depth knowledge of Stata, we'd love to hear from you: https://lnkd.in/dfmvR2f. This is a great opportunity to join a growing team and apply your skills to solving issues of public import in the US and beyond.

Feel free to send me a private message if you have any questions

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Reshape table (pivot table)

May 17, 2017, 1:31 pm
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Dear stata-users,

I am writing you, because I hope that anyone here could help me out with your knowledge. Until now, I am not be able to solve it on my own by investigating the help from the Stata manual and forums. It would be wonderful if anyone have good advice!

I want to transpose my panel data, to make my situation more clear, I will illustrate my problem with an example of my panel data.
My own data consists of more than 600 banks over almost 10 years, but to make it easy I will illustrate my date with 3 banks for three days. This is the example of the current dataset:

permno date ticker Company name Cusip Ret
1. 10002 02/07/2007 BTFG Banctrust 05978R19 -2.892
2. 10002 03/07/2007 BTFG Banctrust 05978R19 1.434
3. 10002 04/07/2007 BTFG Banctrust 05978R19 2.324
4. 20395 02/07/2007 WJMK Warrior 61778Q19 1.343
5. 20395 03/07/2007 WJMK Warrior 61778Q19 3.233
6. 20395 04/07/2007 WJMK Warrior 61778Q19 2.233
7. 40234 02/07/2007 BJBP Banc Jones 20124B41 3.233
8. 40234 03/07/2007 BJBP Banc Jones 20124B41 -1.343
9.40234 04/07/2007 BJPP Banc Jones 20124B41 1.234

- Permno is an identifier of the company
- Date = Date
- Ret = Return of the shareprice

Now I want to transpose (like a pivot table in excel) the data to the following new data set:
date permno permno permno
10002 20395 40234
1. 02/07/2007 -2.892 1.343 3.233
2. 03/07/2007 1.434 3.233 -1.343
3. 04/07/2007 2.324 2.233 1.234

So in the new situation I want to have the permno (id) in the column. I want the date in the row. And as values, I want ret (the returns of the share prices of the company).

The problem now is when I use the following command: reshape wide ret, i(permno) j(date) , the problem with this command is that id (permno) stays in the row and you can not choose you what you want in the column, row or as values. I have dropped the other variables that I don't need, otherwise the above command won't work.

I hope that someone could help me out with this command to reach my goal. I am looking forward to hearing of someone, that would be awesome.


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constraint issues estimating absolute price Rotterdam model

May 17, 2017, 3:37 pm
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Hello,

I am trying to estimate the absolute price version of the Rotterdam model for major food groups in Canada using annual aggregate price and quantity data. My data ranges from 1995 to 2015, and I have included 7 aggregated food groups (poultry, red meat, fish, fruit and vegetables, dairy, grains, and oils) in my demand system.

My issue is that the homogeneity and adding-up constraints do not appear to be holding when using the sureg command.

To estimate the model, I ran the sureg command and dropped one share equation (for example, oils) to avoid the simultaneity issue thus estimating n-1 share equations. However, the estimates show that the homogeneity and adding-up restrictions on the estimated coefficients don’t hold. This is confirmed when I try to recover the parameters of the omitted equation (oils) by re-estimating the model and dropping a different share equation (for example, grains). In this case, the coefficient estimates for the other share equations (poultry, red meat, fish, fruit and vegetables, dairy) are completely different between the two regressions. In addition, when I try to incorporate a dummy variable to test for structural change after year 2000, the homogeneity and adding-up constraints won’t hold.

The constraints appear to hold if I use the isure command, but only for the original model that does not include the dummy variable. Once the dummy variable is included, the model will not estimate using isure (the iterations go extremely high, i.e. 350+, so I eventually stop the estimation). I’m not sure if its due to the small sample size (t=20) or whether I am missing something when I enter my constraints.

Any help or advice would be greatly appreciated!

Following previous threads, I entered the constraints in the following way (where Dp represents the log change of prices).

/* homogeneity restrictions */

constraint define 1 [Poultry]Dp1 + [Poultry]Dp2 + [Poultry]Dp3 + [Poultry]Dp4 + [Poultry]Dp5 + [Poultry]Dp6 + [Poultry]Dp7 = 0
constraint define 2 [Redmeat]Dp1 + [Redmeat]Dp2 + [Redmeat]Dp3 + [Redmeat]Dp4 + [Redmeat]Dp5 + [Redmeat]Dp6 + [Redmeat]Dp7 = 0
constraint define 3 [Fish]Dp1 + [Fish]Dp2 + [Fish]Dp3 + [Fish]Dp4 + [Fish]Dp5 + [Fish]Dp6 + [Fish]Dp7 = 0
constraint define 4 [Fruit]Dp1 + [Fruit]Dp2 + [Fruit]Dp3 + [Fruit]Dp4 + [Fruit]Dp5 + [Fruit]Dp6 + [Fruit]Dp7 = 0
constraint define 5 [Dairy]Dp1 + [Dairy]Dp2 + [Dairy]Dp3 + [Dairy]Dp4 + [Dairy]Dp5 + [Dairy]Dp6 + [Dairy]Dp7 = 0
constraint define 6 [Grains]Dp1 + [Grains]Dp2 + [Grains]Dp3 + [Grains]Dp4 + [Grains]Dp5 + [Grains]Dp6 + [Grains]Dp7 = 0

/* symmetry restrictions */

constraint define 7 [Poultry]Dp2=[Redmeat]Dp1
constraint define 8 [Poultry]Dp3=[Fish]Dp1
constraint define 9 [Poultry]Dp4=[Fruit]Dp1
constraint define 10 [Poultry]Dp5=[Dairy]Dp1
constraint define 11 [Poultry]Dp6=[Grains]Dp1
constraint define 12 [Redmeat]Dp3=[Fish]Dp2
constraint define 13 [Redmeat]Dp4=[Fruit]Dp2
constraint define 14 [Redmeat]Dp5=[Dairy]Dp2
constraint define 15 [Redmeat]Dp6=[Grains]Dp2
constraint define 16 [Fish]Dp4=[Fruit]Dp3
constraint define 17 [Fish]Dp5=[Dairy]Dp3
constraint define 18 [Fish]Dp6=[Grains]Dp3
constraint define 19 [Fruit]Dp5=[Dairy]Dp4
constraint define 20 [Fruit]Dp6=[Grains]Dp4
constraint define 21 [Dairy]Dp6=[Grains]Dp5

global demand1 "(Poultry: s1 Dp1 Dp2 Dp3 Dp4 Dp5 Dp6 Dp7 DQ, robust nocon)"
global demand2 "(Redmeat: s2 Dp1 Dp2 Dp3 Dp4 Dp5 Dp6 Dp7 DQ, robust nocon)"
global demand3 "(Fish: s3 Dp1 Dp2 Dp3 Dp4 Dp5 Dp6 Dp7 DQ, robust nocon)"
global demand4 "(Fruit: s4 Dp1 Dp2 Dp3 Dp4 Dp5 Dp6 Dp7 DQ, robust nocon)"
global demand5 "(Dairy: s5 Dp1 Dp2 Dp3 Dp4 Dp5 Dp6 Dp7 DQ, robust nocon)"
global demand6 "(Grains: s6 Dp1 Dp2 Dp3 Dp4 Dp5 Dp6 Dp7 DQ, robust nocon)"

sureg $demand1 $demand2 $demand3 $demand4 $demand5 $demand6, const(1-21)


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ml_mediation is unrecognized

May 17, 2017, 4:41 pm
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Dear all,

I am quite new to STATA. I try to run a multilevel mediation model using ml_mediation.

My code is:
ml_mediation, dv(happiness) iv(gini) mv(fairness) l2id(V2)

Somehow it didn't work and I got the message "command ml_mediation is unrecognized." Anyone has an idea of what's going on? I have googled for a while but couldn't figure it out.

My STATA version is 14.2 and updated.

Thanks!
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Can the results of Truncated regression be used in Mediation analysis

May 17, 2017, 4:47 pm
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Dear Statistic specialists,

In Mediation analysis, the paths can be estimated by OLS. In some cases, other methods of estimation (e.g., logistic regression, multilevel modeling, and structural equal modeling) can be used instead of multiple regression (David 2016 ). However, can the results of Truncated regression be used in Mediation analysis as well? To assume that X (predictor), M(mediator), and Y(outcome) are all continuous, and other assumptions met. Thank you very much.

Reference:

David A. Kenny (2016) http://davidakenny.net/cm/mediate.htm
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Modelling excess mortality using Poisson regression

May 17, 2017, 10:09 pm
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Hi Paul and everyone,

I am working on a project in which I am interested in modeling excess mortality using Poisson regression.
We usually do this as follows (according to "Estimating and modeling relative survival" by Paul Dickman et al, 2015):

use colon, clear
stset surv_mm, failure(status==1 2) id(id) scale(12)

**Estimating relative survival (Ederer II method)
strs using popmort if stage==1, breaks(0(1)5) mergeby(_year sex _age) ///
by(sex year8594 agegrp) save(replace) notable noshow

**Modeling excess mortality using grouped data
use grouped, clear
glm d i.end i.sex i.year8594 i.agegrp, fam(poisson) link(rs d_star) lnoffset(y) ///
eform nocons nolog baselevels


The codes for modelling excess mortality is only available if we use 'strs' command in Stata i.e. use Ederer II method. What if we use the new method of estimating net survival (Pohar-Perme method)?

stnet using popmort if stage==1, mergeby(_year sex _age) breaks(0(.083333333)5) ///
diagdate(dx) birthdate(dob) standstrata(agegrp) list(n d cns locns upcns secns) listyearly by(sex)

Does anyone know how to model excess mortality when using 'stns' command? I tried to do this by saving the results of net survival analysis similar to what we do for relative survival although the results will not be saved as individual and grouped data. It was not possible to run 'glm' command in this case because there is not appropriate '.ado' file in Stata to link, similar to the existing one 'rs.ado' that we used in the above command link(rs d_star). I was wondering if it is appropriate to report both net survival (Pohar_perme) and excess mortality rate results when publishing a paper considering that Phoar-Perme gives us the weighted estimates while Ederer II does not and we model our excess mortality in frame work of Ederer II (relative survival).

Thank you in advance for your help.

Regards,

Nina
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DID test on panel data

May 18, 2017, 11:27 am
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Dear Statalist,

I am new to the forum and I would like some help with my analysis
I am running a fixed effect DID in order to evaluate whether Partner (Partner_ID) performance (estimate by Avgdaystofund_Q) changes after a certain shock (Badgecount).
Moreover, I have in total 16 time periods (T) where the shock happened at T=9. The periods I'd like to include in the analysis are from T=5 to T=13.

That said, I am running the following:
xtreg Avgdaystofund_Q i.Badgecount i.T if T>=5 & T<=13, fe cl(Partner_ID)

My worry is that when I run the model the T that stata drops is T=5; i have the feeling that T=9 should be dropped, but firstly i'm not sure that I'm right, and secondly if I am right I do not know how to "tell" stata to drop T=9 instead

I thank you all in advance for the help!
Bianca
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trend analysis

May 18, 2017, 12:01 pm
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Hello everyone,
I have a panel data with three variables (id is the panel ID, year and v1). I need to regress v1 on time (year) and use 3 years windows to create a time trend regression analysis. I then need to create a new variable v2 to save the regression coefficients.

I used this code:
xtset id year
rolling v2=_b[year], window(3) : regress v1 year

the coefficients I got are larger than one and I have no explanation. Is my code correct? If yes, how I can explain the correlation coefficients. Here are my data and my results.

Thank you very much for your help.

Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input double(year v1) float id
1970 1442 1
1971 4700 1
1972 5200 1
1973 6002 1
1974 6400 1
1975 3900 1
1976 3400 1
1977 3146 1
1978 1354 1
1979 7685 1
1980 3897 1
1981 6574 1
1982 7568 1
1983 4657 1
1984 9867 1
1985 6455 1
1986 9823 1
1987 8975 1
1988 5684 1
1970 4546 2
1971 8756 2
1972 4354 2
1973 9864 2
1974 4354 2
1975 7645 2
1976 1654 2
1977 9647 2
end


Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input float id double(start end) float v2
1 1970 1972    1879
1 1971 1973     651
1 1972 1974     600
1 1973 1975   -1051
1 1974 1976   -1500
1 1975 1977    -377
1 1976 1978   -1023
1 1977 1979  2269.5
1 1978 1980  1271.5
1 1979 1981  -555.5
1 1980 1982  1835.5
1 1981 1983  -958.5
1 1982 1984  1149.5
1 1983 1985     899
1 1984 1986     -22
1 1985 1987    1260
1 1986 1988 -2069.5
2 1970 1972     -96
2 1971 1973     554
2 1972 1974       0
2 1973 1975 -1109.5
2 1974 1976   -1350
2 1975 1977    1001
end
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Search

spineplot broken?

May 18, 2017, 12:44 pm
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spineplot is a package for Stata described in this Stata Journal article. It can be installed with
Code:
ssc install spineplot
The help file includes this example:
Code:
sysuse auto
spineplot foreign rep78, xti(frequency, axis(1)) xla(0(10)60, axis(1)) xmti(1/69, axis(1))
When I run this command on my PC I get this graph:

[ATTACH=CONFIG]temp_7794_1495134397769_196[/ATTACH]

Could you please confirm if you get the same graph or if this is supposed to look different? The other examples from the help file produce graphs that look as I would expect. Here is another example:
Code:
spineplot foreign rep78
[ATTACH=CONFIG]temp_7795_1495135098735_564[/ATTACH]

I am asking because I noticed that some old code of mine that uses spineplot is now broken and produces graphs that look similar to the first graph above: the rectangle is empty and all labels on the lower axis have been pushed to the left side. Here is a graph that I created in 2016:

[ATTACH=CONFIG]temp_7789_1495136021844_617[/ATTACH]

Here is the graph that I get today with the same do-file and same dataset used to create the graph above:

[ATTACH=CONFIG]temp_7790_1495136067173_375[/ATTACH]

I tried Stata 13.1 and 14.2 with the same result. I even went back to spineplot 1.0.4, which I had used last year (the current version is 1.1.1), but the graph is still empty. The only reason I can think of is a recent update to Windows 10 version 1703 but it seems odd that this would have an effect on spineplot graphs. I have no problems with other Stata graph commands.
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Manipulating Output Tables

May 18, 2017, 12:44 pm
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Hi Statalist,
I'm outputting results tables for the first time and am new at this so apologies if this question has an obvious answer...

How do I output a summary statistics table either just in Stata or into excel with general the type of format shown in the attached picture?



Where the #s are means and (standard deviations), respectively.

I know how to output such a table for just "alldays". I also found that specifying ", by (weekend)" did split up by days of the week but it (a) inverted the variables so that the variables were along the top as column headers instead of along the side as rows and (b) as a result of this I couldn't figure out how to also include the "all days" stats. Finally, I didn't know how to output the standard deviations in parentheses under the means - is this easy or does it need to be done in some special way? (if it is challenging I can just put SDs in separate columns for now).

I know matrixes are often used for generating tables but I wasn't sure if there is an easy way to do this especially since I am just doing a first pass at summary statistics for a rough draft.

As always, many thanks to Statalist for your invaluable help and immeasurable patience!
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Analyzing Pre and Post Data while accounting for time/season

May 18, 2017, 1:10 pm
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Hello,
I am working on a study in which we want to assess the relationship between maternal vitamin D status during pregnancy (mid gestation) and vitamin D status 6-months postpartum. The data is paired, such that each woman has a measurement at both time points.
Initially, I thought a paired t-test could accomplish this goal. However, then I got thinking that season plays an important role in vitamin D levels, and vitamin D measured during the prenatal period was likely collected during a different season that vitamin D measured 6 months postpartum.
Is there a statistical model that can account for this?
Thank you!
Jill
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Mixed 95 confidence intervals

May 18, 2017, 1:17 pm
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Hi Folks,

I am somewhat new to mixed, and have a question about fairly large confidence intervals. Anything I can do about it? Here is a description of my model and some code. Thanks.

Data: unbalanced panel dataset of depth to water for irrigation wells (from the years 1910-2013), which are situated in counties.
Explanatory variables: At the county level: the population density of the county (which changes by year); At the well level: the altitude of the well, the distance of the well from the river (both of which don't change); and then I have dummy variables for the drought or wet conditions of that particular year (drought1, drought2, wet1, wet2, with wet3 excluded).


Code:
mixed lnper_cdtw100 lnpopden_county lnalt_avg lnriv_km2 drought1 drought2 wet1 wet2 ||countyid: lnpopden_county ||id2: lnalt_avg lnriv_km2 , robust

Performing EM optimization:

Performing gradient-based optimization:

Iteration 0: log pseudolikelihood = 21291.913
Iteration 1: log pseudolikelihood = 21350.855
Iteration 2: log pseudolikelihood = 21356.944
Iteration 3: log pseudolikelihood = 21356.946

Computing standard errors:

Mixed-effects regression Number of obs = 32,169


No. of Observations per Group
Group Variable Groups Minimum Average Maximum

countyid 31 1 1,037.7 5,400
id2 2,300 1 14.0 70


Wald chi2(7) = 47.18
Log pseudolikelihood = 21356.946 Prob > chi2 = 0.0000

(Std. Err. adjusted for 31 clusters in countyid)

Robust
lnper_cdtw100 Coef. Std. Err. z P>z [95% Conf. Interval]

lnpopden_county .0014967 .0008484 1.76 0.078 -.0001661 .0031595
lnalt_avg -.0164247 .0072642 -2.26 0.024 -.0306622 -.0021872
lnriv_km2 .0014593 .0008141 1.79 0.073 -.0001362 .0030549
drought1 .0074959 .0020855 3.59 0.000 .0034083 .0115834
drought2 .0044572 .0070613 0.63 0.528 -.0093827 .0182971
wet0 -.2147777 .0598072 -3.59 0.000 -.3319976 -.0975578
wet1 .018222 .0059625 3.06 0.002 .0065358 .0299082
_cons 4.757492 .0614828 77.38 0.000 4.636988 4.877996

Robust
Random-effects Parameters Estimate Std. Err. [95% Conf. Interval]

countyid: Independent
var(lnpopd~y) 1.54e-06 .0000194 3.16e-17 75331.21
var(_cons) .0000168 .0000483 6.06e-08 .0046738

id2: Identity
var(_cons) 7.06e-16 9.36e-14 1.2e-128 4.21e+97

var(Residual) .0155087 .0027515 .0109536 .0219581
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Creating an Index

May 18, 2017, 1:38 pm
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Hello, I have four variables which are supposedly measuring 4 dimensions of the same concept. I want to create an index in Stata. I have no idea what is the best way of doing it. The response scale is the same for all 5 and because it is an experimental data, only people in the third experimental group get to answer these questions. Thank you.



----------------------- copy starting from the next line -----------------------
Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input double(ener_sec4 ener_sec3 ener_sec2 ener_sec1)
. . . .
. . . .
. . . .
. . . .
. . . .
5 4 2 2
5 4 3 3
5 5 4 4
. . . .
. . . .
5 5 5 5
. . . .
. . . .
. . . .
. . . .
. . . .
. . . .
. . . .
. . . .
5 5 4 4
5 5 5 5
. . . .
. . . .
. . . .
. . . .
. . . .
2 5 2 1
5 5 4 4


end
label values ener_sec4 P46_3_4
label def P46_3_4 1 "Sin importancia en absoluto", modify
label def P46_3_4 2 "Algo sin importancia", modify
label def P46_3_4 3 "Ni importante ni sin importancia", modify
label def P46_3_4 4 "Algo importante", modify
label def P46_3_4 5 "Extremadamente importante", modify
label values ener_sec3 P46_3_3
label def P46_3_3 1 "Sin importancia en absoluto", modify
label def P46_3_3 2 "Algo sin importancia", modify
label def P46_3_3 3 "Ni importante ni sin importancia", modify
label def P46_3_3 4 "Algo importante", modify
label def P46_3_3 5 "Extremadamente importante", modify
label values ener_sec2 P46_3_2
label def P46_3_2 1 "Sin importancia en absoluto", modify
label def P46_3_2 2 "Algo sin importancia", modify
label def P46_3_2 3 "Ni importante ni sin importancia", modify
label def P46_3_2 4 "Algo importante", modify
label def P46_3_2 5 "Extremadamente importante", modify
label values ener_sec1 P46_3_1
label def P46_3_1 1 "Sin importancia en absoluto", modify
label def P46_3_1 2 "Algo sin importancia", modify
label def P46_3_1 3 "Ni importante ni sin importancia", modify
label def P46_3_1 4 "Algo importante", modify
label def P46_3_1 5 "Extremadamente importante", modify
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