Applied Econometrics with R

Abstract

except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.Printed on acid-free paper springer.com Preface viiSettings and appearance R is mainly run at its default settings; however, we found it convenient to employ a few minor modifications invoked by R> options (prompt="R> ", digits=4, show.signif.stars=FALSE) This replaces the standard R prompt > by the more evocative R>. For compactness, digits = 4 reduces the number of digits shown when printing numbers from the default of 7. Note that this does not reduce the precision with which these numbers are internally processed and stored. In addition, R by default displays one to three stars to indicate the significance of p values in model summaries at conventional levels. This is disabled by setting show.signif.stars = FALSE. Typographical conventionsWe use a typewriter font for all code; additionally, function names are followed by parentheses, as in plot(), and class names (a concept that is explained in Chapters 1 and 2) are displayed as in "lm". Furthermore, boldface is used for package names, as in AER.

On the relation between public debt and economic growth: an empirical investigation

“…for which we use the R package plm (see for instance Croissant andMillo, 2008, or Kleiber andZeileis, 2008. In general the R package plm estimates linear panel data models).…”

The Modelling of Irrigation Allocation in Croatia

“…This model is able to capture a high number of zeros [20], e.g., municipalities without irrigation design. The hurdle model assumes that all zero data referring to IA are from a single "structural" source.…”

Unit Root CADF Testing withR

“…The problem is solved into two steps. First,ê t and v t are derived; then, their long-run covariance matrix Ω is estimated using a HAC covariance estimator (see e.g., Andrews 1991;Zeileis 2004Zeileis , 2006Kleiber and Zeileis 2008).…”