Hey guys, thanks a lot for your tips. The regression is finally running. As you said, I had to integrate the column "year" in the function "time" in R.
So I used the following formula: *plm(log(revenue) ~ log(supply) + factor(town)*time(year), data=R_Test_log_Neu)* So I have now sucessfully added a linear trend to my regression model? Another question that concernes me is how to add a quadratic trend instead of a linear trend. Can I just square the column "year"? Enjoy your weekend, Toby _My results see below:_ Balanced Panel: n=11, T=12, N=132 Residuals : Min. 1st Qu. Median 3rd Qu. Max. -0.09610 -0.02370 -0.00152 0.01980 0.14000 Coefficients : Estimate Std. Error t-value Pr(>|t|) log(supply) -0.0080702 0.0133675 -0.6037 0.547411 factor(town)2:time(year) -0.0063245 0.0053744 -1.1768 0.242100 factor(town)3:time(year) 0.0295522 0.0056776 5.2050 1.053e-06 *** factor(town)4:time(year) 0.0062191 0.0054152 1.1485 0.253549 factor(town)5:time(year) 0.0159028 0.0054954 2.8939 0.004681 ** factor(town)6:time(year) 0.0237112 0.0055395 4.2804 4.316e-05 *** factor(town)7:time(year) 0.0410007 0.0055734 7.3565 5.576e-11 *** factor(town)8:time(year) 0.0239085 0.0053751 4.4480 2.271e-05 *** factor(town)9:time(year) 0.0242342 0.0056855 4.2625 4.619e-05 *** factor(town)10:time(year) 0.0105890 0.0053302 1.9866 0.049733 * factor(town)11:time(year) 0.0095270 0.0056354 1.6906 0.094065 . --- Signif. codes: 0 �***� 0.001 �**� 0.01 �*� 0.05 �.� 0.1 � � 1 Total Sum of Squares: 0.46388 Residual Sum of Squares: 0.2001 R-Squared: 0.56863 Adj. R-Squared: 0.4292 F-statistic: 11.8637 on 11 and 99 DF, p-value: 7.3065e-14 Am 11.05.2017 um 23:17 schrieb David L Carlson: > What Rui said, but as important, you have four columns in your data called > "town", "year", "revenue", and "supply". You do not have a column called > "time". > > ------------------------------------- > David L Carlson > Department of Anthropology > Texas A&M University > College Station, TX 77840-4352 > > -----Original Message----- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Rui Barradas > Sent: Thursday, May 11, 2017 3:36 PM > To: Tobias Christoph <s3toc...@uni-bayreuth.de>; Duncan Murdoch > <murdoch.dun...@gmail.com>; r-help@r-project.org > Subject: Re: [R] Error: invalid type (closure) for the variable 'time' - > object specific trend > > Hello, > > A closure is, like you say, a function. > At an R prompt try: > > > typeof(time) > [1] "closure" > > So like Duncan suggested rename 'time', for instance capitalize it > 'Time'. That should do it. > > Hope this helps, > > Rui Barradas > > > > Em 11-05-2017 21:20, Tobias Christoph escreveu: >> Hey Duncan, >> >> thank you very much for your quick reply. >> >> _My data used:_ >> >> 1st column(town):1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,...........,11 >> >> 2nd column(year):1,2,3,4,5,6,7,8,9,10,11,12,1,2,3.......,12 >> >> 3rd column (revenue): >> >> 4th colum (supply): >> >> I have now renamed my colums and did the regression again. Now there is >> a problem with R-squared, as it is the sum of 1 now with no given std. >> error and t-value. This is probably due to the fact, that I try to >> estimate more parameters than data. >> >> To add a linear trend I found the following formular:*lm(y ~ x1 + >> factor(ccode)*time, data=df)* >> >> I try to I decode it for and use it for my regression: *plm(log(revenue) >> ~ log(supply) + factor(town)*time, data=R_Test_log_Neu)* >> >> When I do this regression I will get the original error: "invalid type >> (closure) for the variable 'time' - object specific trend" >> >> With the notation"time" not my colum is meant, but probably the command >> "time" in R. >> >> Can you follow my thoughts? >> >> Tobi >> >> >> >> >> >> >> Am 11.05.2017 um 17:23 schrieb Duncan Murdoch: >>> Duncan Murdoch >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.