similar to: Econometrics Packages On R

Hi, Is there any package or functions in R that can perform tests and estimation for a spatial econometric model in a simultaneous system? Thank you!!! Xia Feng

When I try to install hte Econometrics view I get the following error: CRAN task view Econometrics not available in: install.views("Econometrics") I have already install the ctv package and loaded it before trying to install the above... Any ideas as to what's going on?

Hi, I am currently looking for a program or programmng language easy to learn, easier to operate on.I heva heard about "R", However I understand that "R" is designed especially for statisticians. As an economist, working on applied econometrics, I am not sure if it can meet my needs. Will I be able to reach precise time series or panal data regression results with

Hi all, Please recommend good books for the following three categories. (I am aim at finance, macroeconomics, trading and business applications). (1) statistical (financial) data analysis; (2) time series; (3) econometrics. More specifically, I am looking for the following two types of books: (1) Books that provide big pictures and intuitions and books that connect dots... For example, there

Hi, I did not find any web page about using R in economics and econometrics so far. However, this does not mean that there is none (searching with google for "R" and "economics" gives many pages about economics and a name like Firstname R. Lastname on it ;-)). Does anybody in the list does know such a web page? If not, I will be happy if you, Ajay, could build and

Dear R users, I am putting together reading and resources lists for spatial statistics and spatial econometrics and am looking for some pointers from more experienced practitioners. In particular, I find two "camps" in spatial modelling, and am wondering which approach is better suitied to which situation. The first camp is along the lines of Venables and Ripley's Chapter 14

Hi List, my problem is the following: I use Samba 3.5 with AD password authentification and uid/gid information in local files. Everything seems to work so far, when i create files via samba the created files have correct user/group information on linux filesystem level (so i think id mapping works basicly). The only thing that does not work is deleting files which - belong to other users from

Dear Group, I am an economics student starting with PhD work in London. As preparation I would like to get to know R a little bit better. For Stata there are tons of books, however, can you recommend a book for R? I have some substantiated econometrics knowledge, so it should be more a how-to book. Best regards Thiemo --- Thiemo Fetzer, Economist http://freigeist.devmag.net

The package AER accompanying the forthcoming book "Applied Econometrics with R" by Christian Kleiber and me in the Springer useR! series has (finally!) been released to CRAN: http://CRAN.R-project.org/package=AER It contains some new R functionality o tobit regression convenience interface (to "survival") o instrumental variables regression (two-stage least squares)

The package AER accompanying the forthcoming book "Applied Econometrics with R" by Christian Kleiber and me in the Springer useR! series has (finally!) been released to CRAN: http://CRAN.R-project.org/package=AER It contains some new R functionality o tobit regression convenience interface (to "survival") o instrumental variables regression (two-stage least squares)

Version 1.0-0 of the package "AER" for "Applied Econometrics with R" has been released to CRAN (http://CRAN.R-project.org/package=AER) a few weeks ago. It accompanies Applied Econometrics with R Christian Kleiber, Achim Zeileis http://www.springer.com/978-0-387-77316-2 http://www.amazon.com/Applied-Econometrics-R-Use/dp/0387773169/ from Springer's useR!

Version 1.0-0 of the package "AER" for "Applied Econometrics with R" has been released to CRAN (http://CRAN.R-project.org/package=AER) a few weeks ago. It accompanies Applied Econometrics with R Christian Kleiber, Achim Zeileis http://www.springer.com/978-0-387-77316-2 http://www.amazon.com/Applied-Econometrics-R-Use/dp/0387773169/ from Springer's useR!

-----Original Message----- From: Nels Tomlinson [mailto:tomlinso at purdue.edu] Sent: Friday, October 12, 2001 3:00 PM To: Warnes, Gregory R Subject: Re: [R] Econometrics ... I like your meta-package idea. To make it more useful, it should have a help page which provide links to the appropriate functions in the other, required packages. That is, the 00index.html file in the package should

We are pleased to announce the release of version 0.0 of bayesm on CRAN. bayesm covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var) Multinomial Logit Multinomial and Multivariate Probit Multivariate Mixtures of Normals Hierarchical Linear Models with a normal prior and covariates

We are pleased to announce the release of version 0.0 of bayesm on CRAN. bayesm covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var) Multinomial Logit Multinomial and Multivariate Probit Multivariate Mixtures of Normals Hierarchical Linear Models with a normal prior and covariates

Hi folks, I am trying to perform a Granger causality analysis with panel data. There are some packages around for panel data analysis and Granger causality. However, I have found neither a package for both panel data and Granger causality nor any R procedures (homogenous/heterogenous causality hypotheses, related tests such as Wald, unit root tests etc.). Of course, someone must have

> From: Paul Gilbert [mailto:pgilbert at bank-banque-canada.ca] > > John Janmaat wrote: > > > Is there a package available for R which generates output > commonly used > > by econometricians (eg., the Durbin-Watson statistic for serial > > > correlation in regression residuals)? I'm pretty sure most of > the stuff > > is out

Dear R users, I would like to construct a matrix of seasonal dummy variables, such matrix can be written as follows(i.e format(T,4)) 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 . . . . . . . . etc I have written the following small program:

Dear helpeRs, a colleague of mine would like to give R a try. He uses econometric models which typically involve a large number of variables, esp. time series. Having no experience with handling very large data sets myself I turn to you. 1. Could you please describe your experiences to cope with these situations? 2. What kind of difficulties will he have to face? Are there special

Dear all   I wish to carry out sigma- and beta-convergence analysis in respect of panel data [wherein current value of one of the variables needs be regressed upon suitably transformed lagged values of another variable(s)]. I am quite new to the R-language and am not very much aware of the availbaility of suitable package(s)/ code in the language. Can any one help me in letting me know of