[R list package] Replication problem

Juan Felipe Riaño Rodríguez jf.riano48 at uniandes.edu.co
Thu Mar 19 17:02:59 CET 2015


Hi!

I was wondering if this could be a simple matter of the R versions. Originally, which R version was used to run the paper’s tables?

Thank you very much,

Juan Felipe Riaño Rodriguez
Centro de Estudios sobre Desarrollo Económico - CEDE,
Facultad de Economía - Universidad de los Andes,
Calle 19A No. 1-37 Este - Bloque W (W-815),
Tel. +57-1-339-4949 ext 3409

> El 27/02/2015, a las 1:54 p.m., Graeme Blair <graeme.blair at columbia.edu> escribió:
> 
> Hi Juan,
> 
> Thanks for reporting this issue. We will look into it and update you and the list as soon as it is resolved.
> 
> Best,
> Graeme
> 
> 
> 
> 
> On Fri, Feb 27, 2015 at 1:52 PM, Juan Felipe Riaño Rodríguez <jf.riano48 at uniandes.edu.co <mailto:jf.riano48 at uniandes.edu.co>> wrote:
> 
> Hi! 
> 
> Working with my data to verify ceiling and floor liars, I used your replication code as a guide and got error messages about the Log likelihood not being monotonically increasing. But then I realized that I also get this error with your own code on your data, that is simply running the replication of your paper. 
> 
> In particular when trying to replicate Table 7, columns 3-6, as below, I get the error messages shown below (if I change the fit.start parameter, the error that pops out may change from object not found to non non monotonically increasing Log likelihood, but I always get an error anyways). 
> 
> In short, before concluding there is problem with my data specifically, given this finding I would like to point it out and make sure there is not a more general problem with the code (perhaps something got messed up in an software update or that of package dependencies?). 
> 
> Thank you very much, 
> 
> 
> 
> > data(race) 
> > 
> > ceiling.results <- ictreg(y ~ age + college + male + south, treat = "treat", J = 3, data = affirm, method = "ml", fit.start = "ml", ceiling = TRUE, ceiling.fit = "bayesglm", ceiling.formula = ~ age + college + male + south) 
> Error in logistic(x.treatment.curr %*% fit.control.coef) : 
> object 'fit.control.coef' not found 
> > 
> > summary(ceiling.results, boundary.proportions = T) 
> Error in summary(ceiling.results, boundary.proportions = T) : 
> object 'ceiling.results' not found 
> > 
> > # Fit standard design ML model with floor effects alone 
> > # Replicates Columns 5-6 
> > 
> > data(race) 
> > 
> > floor.results <- ictreg(y ~ age + college + male + south, treat = "treat", 
> + J = 3, data = affirm, method = "ml", fit.start = "glm", 
> + floor = TRUE, floor.fit = "bayesglm", 
> + floor.formula = ~ age + college + male + south) 
> Error in ictreg(y ~ age + college + male + south, treat = "treat", J = 3, : 
> log-likelihood is not monotonically increasing. 
> > 
> > summary(floor.results, boundary.proportions = T) 
> Error in summary(floor.results, boundary.proportions = T) : 
> object 'floor.results' not found 
> > 
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