A set of estimators and tests for panel data.
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* lagt.pseries: new method respecting "content" of time periods [not yet exported due to testing]. * is.pconsecutive: default method exported so it can be used for arbitrary vectors.
Changes since version 1.5-16
* plmtest: * fixed p-values [for type="kw" and "ghm"], * unbalanced version of all test statistics implemented, * doc update with literature references to unbalanced tests, * if requested, the "kw" statistic is now also calculated as one-way ("individual" or "time"), albeit they coincide with respective "bp" statistics. * pwtest: formula interface respects 'effect' argument, 'effect' argument now mentioned in doc. * data set 'Wages': factor 'sex' re-leveled to c("male", "female") to match use in original paper. * print.summary.plm: suppress printing of 'effects' argument in top line in case of 'pooling' model. * doc for between, Between, Within extended; doc for lag, lead, diff in separate file now (lag_lead_diff.Rd) * pdata.frame: * fixed bug: do not assume a specific order of data when only individual index is supplied, * resulting pdata.frame is ordered by individual, then time index, * when duplicate couples (id-time) are created, a warning is issued, * new argument 'stringAsFactors'. * pvar: * fixed warning about var on factor variable (var on factors is deprecated as of R 3.2.3), * fixed corner case with one group being all NA and other non-varying, * print.pvar: better handling of NA values. * lag/lead: fixed bug with dropped factor levels, added testfile tests/test_lag_lead_factor_levels.R. * is.pconsecutive: * new function to check if time periods are consecutive per individual, * better NA handling, added argument rm.na.tindex. * pgmm: fixed bugs affecting the instrument matrix in the following cases: * gmm instruments are collapsed and restricted in lag length; * first lags are used as gmm instruments; * gmm instruments are collapsed in system GMM; * gmm instruments are restricted in lag length in system GMM. * punbalancedness: data frame interface gains 'index' argument. * within_intercept: new function to calculate an overall intercept along its standard error for FE models a la Stata (and Gretl), accepts argument '.vcov' for user defined vcov. * added help topic on package as a whole (?`plm-package`) for sake of completeness. * summary.plm: * argument '.vcov' can also be a function (before, only only matrix was possible). * internal: the furnished vcov is saved in the summary.plm object in object$rvcov (vcov function name in attr(object$rvcov, which="rvcov.name"). * Ftest: * gained '.vcov' argument, which enables robust F test and chi-sq test [robust versions not yet weaved in summary.plm]. * now exported and has documentation (.Rd file). * returned htest object has vcov's name in 'method' element (if vcov was supplied) * (internal) vcovXX functions: furnished vcovs gain attribute "cluster" which give info about clustering, e.g. "group" or "time". * fixef: gains new argument '.vcov'.
Changes since version 1.5-15
* punbalancedness: new function for unbalancedness measures for panel data as in Ahrens/Pincus (1981); added doc and testfile for punbalancedness. * DESCRIPTION: added URLs for package on CRAN and package on R-Forge. * model.matrix.pFormula and plm.fit: include 'assign' and 'contrasts' attributes (if any) in model fit * Vignette: summary(lme_mod)$coef$fixed -> summary(lme_mod)$coefficients$fixed to avoid partial matching of 'coef' to 'coefficients' by "$" operator. * r.squared: adjusted R squared fixed (at least for models with intercept). * model.matrix.pFormula and pmodel.response: ensured that 'data' gets reduced to the corresponding model frame if not already a model frame (now mimics stats::model.matrix in this regard); fixes corner cases with specific NA patterns when model.matrix.pFormula or pmodel.response are called directly and 'data' not being a model frame (despite being required so) [see tests/test_model.matrix_pmodel.response_NA.R]. * detect_lin_dep: new function as a little helper function to detect linear dependent columns, esp. in model matrices; incl. doc with two examples about how linear dependent columns can be induced by the within transformation. * doc pFormula.Rd extended (especially examples) and split up in two files to better accommodate different return values and input values in the documentation (new file added: man/model.frame_model.matrix.Rd).
Changes since version 1.5-14
* mylm: added commented (i.e. inactive) warning about dropped coefficients in estimation. * fitted.plm: added commented (i.e. inactive) warning in about dropped coefficients in estimated model compared to specified model.matrix. * added testfile tests/test_fitted.plm.R (some of those test currently do not run (commented, i.e. inactive)). * pmodel.response.pFormula: make sure supplied formula is a pFormula before we continue (coerce to pFormula), fixes "bugs" (rather unexpected, but documented behaviour) like: pmodel.response.pFormula(regular_formula, data = dat, model = "pooling") # Error in names(y) <- namesy : # 'names' attribute  must be the same length as the vector  * some testfiles: fixed wired encodings. * lag.pseries: modified to handle negative lags (=leading values). * lead.pseries: added function as a wrapper for lag.pseries(x, k=-1) for convenience, i.e. lag(x, k = -1) == lead(x, k = 1). * diff.pseries: prevented negative lags as input to avoid confusion. * doc for pseries functions are made available under their name, e.g. ?lag now displays helpfile for lag.pseries in the help overview (besides e.g. stats::lag). * pdim.default: make error message "duplicate couples (time-id)" printed as proper error message (removed cat() around the message in stop(), was printed as regular string on screen before). * plm.data: slight improvement for printed outputs (spelling and spacing). * indexes: fixed return value (was always NULL). * doc updates: ?pdim: added section about possible different return values for pdim(pdata.frame) and pdim(panelmodel_object); others: linkage to base functions enabled, spelling.
Changes since version 1.5-13
* fixed bug in vcovHC(..., method="white") from degenerating diag() if any groups have only 1 element. * vcovG framework: reintroduced "white2" method.
Changes since version 1.5-12
* dataset Produc: added variable 'region' as 3rd column and description: 'pcap' is public capital (not private) while 'pc' is private capital (not public) * added importFrom as per CRAN check for submission.
Changes since version 1.5-11
* added RiceFarms to datasets to eliminate non-CRAN dependencies, (temporarily) removed 'pder' from suggested, uncommented (fixed) example in pdwtest.Rd.
Changes since version 1.5-9
* fixed bug in vcovG for lagged White terms (make pseudo-diagonal in E(u,v)); affected vcovNW. * documentation updates (mostly text books of Baltagi and Wooldridge to latest edition, references are also more specific now). * pbgtest: fixed/enabled type="F" (F test of lmtest::bgtest) in wrapper pbgtest() and fixed/enabled passing of argument order.by= [additional argument in lmtest::bgtest] [tests/testpbgtest.R added, docs updated and extended]. * phtest( , method="aux") [Hausman regression-based test]: fixed bug when data= contains more cases than there are used in model estimation (due to NA values); avoid calc. of RE model a second time; phtest now also works with between model correctly (fixed degrees of freedom) tests/test_phtest_Hausman_regression.R added. * plm(): original row names of inputted data are preserved in plm_object$model, so functions like pmodel.response(), model.frame(), model.matrix(), residuals() return the original row.names (and thus fancy rownames if those were to be computed by pdata.frame); as.data.frame.pdata.frame(): respects row.names argument.
Changes since version 1.5-8
Changes since version 1.5-6
* pruned 'require' calls to 'lmtest', 'car', 'lattice' and substituted them with proper entries in NAMESPACE. * temporarily commented problematic examples in pbgtest and pdwtest.
Changes since version 1.5-5
* fixed bug affecting vcovG on unbalanced datasets (thx Liviu Andronic) from propagation of NAs in final by-group matrix multiplication.
Changes since version 1.5-4
* fixed testErrors.R with plm.data instead of pdata.frame.
Changes since version 1.5-3
* reintroduced plm.data eliminated by mistake.
Changes since version 1.5-1
* fixed "already a pdata.frame" bug in pcdtest.formula.
Changes since version 1.5-0
* added generic building block and high-level wrappers vcovNW and vcovDC to the namespace. * dataset Parity added to /data.
Changes since version 1.4-0
* substituted vcovHC, vcovSCC with the new framework based on vcovG and wrapper functions.
Changes since version 1.3-1
* a subset argument is added to print.summary.plm and summary.pht so that a subset of coefficient may be selected. * fixed a small problem on the printing of the typology of the variables for pht models. * the "name" of the tests is now the formula truncated so that it prints on only one line. * restrict.matrix argument added to deals with linear restrictions. * a vcov argument is added to summary.plm so that a variance matrix can be supplied. * the deviance method for panelmodel objects is now exported (12/02). * the hausman-taylor now support the Amemiya MaCurdy and the Breush-Mizon-Schmidt version. * a small bug is fixed on the var2lev function to deal the case when there are no factors.
Changes since version 1.3-0
* an update method for panelmodel objects is provided. * the Wages example is removed from the pvar man page because it's time consuming.
Changes since version 1.2-10
* for unbalanced hausman-taylor model, the printing of the error components was wrong, it is now fixed. * the printing of the removed variables (cst or NA) is improved. * the pgmm function has been improved to deal correctly with holes in the cross-sections ; a collapse argument is added to limit the number of gmm instruments. * the CoefTable element of summary.pgmm objects is renamed coefficients, so that it can easily be extracted using the coef method. * the default value for robust is now TRUE in the summary.pgmm method. * a new argument lost.ts is added in pgmm to select manually the number of lost time series. * almost null columns of instruments are removed (this happens when within/between transformation is performed on between/within series. * plm now accept three part formulas, the last part being for instruments introduced only in the within form. * the predict method for panelmodel objects is now exported. * plm now estimate systems of equations if a list of formulas is provided as the first argument.
Changes since version 1.2-9
* the pccep function, estimating CCEP models a la Pesaran, has been added together with summary and print.summary methods. The function generates objects of a class of their own ("pccep"), much like 'pggls', together with 'panelmodel'. * the pmg function, estimating MG, DMG and CCEMG models a la Pesaran, has been added together with summary and print.summary methods. The function generates objects of a class of their own ("pmg"), much like 'pggls', together with 'panelmodel'. In the future must consider possible merger with 'pvcm'.
the new cipstest function performs a second-generation CIPS test for unit roots on pseries objects.
the new (hidden) function pmerge is used internally by cipstest to merge lags and differences of a pseries into the original pdata.frame. Will possibly be added to the user space in the future.
Changes since version 1.2-8
* an index method is added for panelmodel, pdata.frame and pseries. * a bug in the typology of the variables in pht is fixed. * a bug in vcovBK (matrices degenerating into vectors) is fixed (thx David Hugh-Jones for bug report). * the Between function now returns a pseries object. * the resid and fitted method now returns a pseries object. * the pgmm method has been rewritten; the data frame is then first balanced and NAs are then overwritten by 0s.
Changes since version 1.2-7
* a typo is corrected in the man page of plm.data. * package AER is now suggested.
Changes since version 1.2-6
* a bug in mtest for pgmm models with effect=individual and transformation=ld *and* for the wald test for time.dummies for model with effect = twoways and transformation=ld is fixed by modifying namest in gmm. * there was a bug in pgmm for models with different lags for gmm instruments. The number of time-series lost is now the min (and not the max) of the first lags for gmm instruments. * some parts of summary.pgmm only worked correctly for model with time-dummies. It now deals correctly for model with 'individual' effects. * the rda files are now compressed. * p-values for the two-tailed versions of plmtest() were wrong and have been fixed. They were divided by 2 instead of multiplied.
Changes since version 1.2-5
* fixed error in pggls, model="within" (FEGLS). Added model="fd" (FDGLS). * changed dependency from kinship to bdsmatrix (as suggested by Terry Therneau after his reorganization of the packages). * fixed DESCRIPTION and NAMESPACE accordingly. * fixed the example in pggls.Rd.
Changes since version 1.2-4
* bug corrected in pgmm : ud <- cbind(ud, td.gmm.level) is relevant only for twoways models. * in fitted.plm, the extraction of the index is updated. * the residuals.plm method now has a model argument. * a new function r.squared. * pmodel.response.plm is modified : no explicit effect and model arguments anymore (like in model.matrix.plm).
Changes since version 1.2-3
* lag.pseries now returns relevant names for the returned factor. * pFormula is modified so that it can handle correctly Formula object, and not only formula. * pgmm has been completely rewrite with a new 'Formula' interface. Old formula and dynformula interfaces are kept for backward compatibility but won't be maintained in the future. * subset, na.action are added to the list of arguments of pgmm and oldpgmm. * lag.pseries is now able to deal with vector arguments for lags, e.g. lag(x, c(1,3)). * suml(x) is replaced by Reduce("+", x).
Changes since version 1.2-2
* the documentation has been improved. * the pvalue for purtest(..., type = "madwu") was in error (by a factor of 2). * in formula(dynformula), a bug is fixed so that the endog variable doesn't appear on the rhs if there are no lags. * in pgmm, the extract.data has been rewritten and is *much* faster. * two new functions vcovBK and vcovSCC have been added. * a 'model' argument is added to pgmm.sys and pgmm.diff (previously, the model name was extracted from the call). * Kt is fixed to 0 in pgmm when effect="individual".
Changes since version 1.2-1
* a new purtest function to perform unit root tests. * [[.pdata.frame is modified so that NULL (and not an error message) is returned if an unknown column is selected.
Changes since version 1.2-0
* the as.matrix and print methods for pserie objects are now exported. * in summary.plm, the p-value is now computed using a Student distribution and not a normal one. * the lag.pserie method is modified so that it deals correctly with factors, and not only with numeric vectors. The diff.pserie method returns an error if its argument is not numeric. * the instruments-"backward compatibility" stuff in plm is simplified thanks to the new features of Formula. * 'pserie' is renamed 'pseries'. * a THANKS file is added. * the `[.pdata.frame` function is modified so that [, j] returns a pseries and not a pdata.frame when j is a single integer, and a backward compatibility feature is added for the "index" attribute.
Change since version 1-1.4
* a args argument is added for plm objects, and the internal function relies now on it (and not on the call as previously). * more attention is paid when one of the estimated components of the variance is negative (warning or error messages result). * pdata.frame objects are re-introduced. They are used to compute model.frames. Extraction from pdata.frames results in 'pserie' objects which have an index attribute. * the print method of ercomp is now exported. * the first argument of pgmm may now be a formula. A lag.form must be provided in this case. * hausman-taylor estimation is now performed by the pht function. For backward compatibility reasons, it is still possible to estimate this model with plm.
Changes since version 1-1.3
* a relevant error message is added when a within model is estimated with no time-varying variable. * the formula method for dynformula objects is now exported. * a misleading notation was corrected for plm.ht model. * the definition of sigma2$id for unbalanced ht model is corrected, an harmonic mean of Ti being used. * the definition of tss.default is simplified. * the fitted.values element was missing for plm objects and has been added.
Changes since version 1-1.2
* the inst directory was missing, it has been added again.
Changes since version 1-1.1
* part of the "details" section of the fixef.plm man page is removed. * a fitted.value method is now available for plm objects. It returns the fitted values of the untransformed response. * in pdiff, a drop=FALSE is added. This omission was responsible of a bug while estimating a model like plm(inv~value-1, data = Grunfeld, model = "fd"). * the lev2var is changed so that it doesn't result in an error when the data.frame contains no factor: this was responsible for a bug in plm.ht.
Changes since version 1-1.0
* in fixef, the effect argument default is now NULL: fixef(model_with_time_effect) now works correctly. * in pFtest, the error message "the arguments should be a within and a pooling model" is removed so that two within models may be provided. * for backward compatibility reasons, the pvcovHC is reintroduced. * for backward compatibility reasons, argument test of pbsytest may be indicated in upper case. * we switched back to old names for two arguments of plm ercomp -> random.methods ivar -> inst.method -> ivar. * amemiya method is not implemented for unbalanced panels: an error message is now returned.
Changes since version 1-0.1
* the plm function has been completely rewritten. * the names of some arguments have changed (random.methods -> ercomp, inst.method -> ivar), the old names are accepted with a warning. * the instruments argument is removed, instrumental variable estimation is performed using extended formula. The instruments argument is still accepted with a warning. * the model argument of plm objects are now ordinary data.frame, and not data.frame with elements y and X. Moreover, this data.frame contains untransformed data. * the data sets which are relevant for panel data estimation that where previously in the Ecdat package are now in the plm package. * in pvcm a bug when the estimation was made on a subset is fixed. * ercomp is a stand alone function which returns the estimation of the components of the variance of the errors. * the estimation of two-ways within model is now implemented for unbalanced panels. * the fixef method is much improved, the fixed effects may be computed in levels, in deviation from the first level or in deviation from the overall mean. * in pbsytest, the arguments test are now in lowercase. * the pvcovHC function is replaced by suitable vcovHC methods for panelmodel and pgmm models.
Changes since version 1-0.0
* lag and diff methods for pseries are now exported and therefore behave correctly. * for two-ways within models with instrumental variables, K is replaced by K+1 for the computation of the overall mean matrix of the instruments. Time fixef are now computed. The error message "impossible ..." is removed. * a bug in the time random effect model is corrected. * a model.matrix method for panelmodel is provided. * models without intercept (-1 in the formula) should now be consistently estimated with plm, pggls and pvcm. * plm depends now on the Formula package which provides useful tools for formula with two parts.
Changes since version 0-3.2
* a lot of typos of the man pages have been fixed. * functions pcdtest, pcdres have been added. * for hausman taylor model, the summary now prints the variables and not the effects. * the estimation of a model with only one explanatory variable using plm with method = "fd" is now working correctly.
Changes since version 0-3.1
* in plm.formula, [int.row.names] is replaced by [as.character(int.row.names)]. * the degree of freedom for a within time effect model was wrong and has been corrected. * the arguments type and weights in pvcovHC.panelmodel are renamed method and type respectively. The default method (type in previous versions) is arellano and not white1. * honda is now the default option for plmtest.
Changes since version 0-2.2
* the coefficients method for objects of class pgmm is now exported. * a bug in the plm method of plmtest has been fixed * in plmtest, the argument effect "id" is renamed "individual". * three testing functions are added : pbsytest (Bera, Sosa-Escudero and Yoon test), pARtest (Breusch-Godfrey Test) and pDWtest (Durbin-Watson test), pwartest, pBGtest, pwtest pbltest. * plm, pvcm and pggls now have arguments "subset" and "na.action". * phtest, pFtest, plmtest now have a formula method. * a bug is fixed for the vcov of the within model. * the pdata.frame function and class is suppressed. The package now use ordinary data.frames.
Changes since version 0-2.1
* pdata.frame is much faster thanks to a modification of the pvar function. * series with only NA values or with constants values are now removed by pdata.frame. * observations are ordered by id and time by pdata.frame. * a pfix function is added to edit a pdata.frame. * a as.data.frame function is provided to coerce a pdata.frame to a data.frame. * the dependency to the Matrix package has been removed and pgmm is much faster now. * phtest has been fixed to return only positive values of the statistic. * pgmm objects now inherits from panelmodel like other estimators and prints correctly. * a bug in summary.pgmm has been fixed.
Changes since version 0-1.2
* Models with only one explanatory variable resulted in a bug. This has been fixed. * Estimation methods are now available with four functions : plm, pvcm, pggls and pgmm instead of one (plm) in the previous version. * pvcm is a new function which estimate variable coefficients models. The "nopool" model is now part of it. * pggls is a new function which enables the estimation of general FGLS. * pgmm is a new function for general method of moments estimator. * for all estimation functions, the first four arguments are now formula, data, effect, model. * robust inference is now provided by the pvcovHC function.