Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down at the end of May, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Matthias Opfinger <opfinger@vwl.uni-hannover.de> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: RE: constant variable as IV in panel? |

Date |
Thu, 23 Jun 2011 14:47:11 +0200 |

Matthias Am 23.06.2011 14:37, schrieb Austin Nichols:

Matthias Opfinger<opfinger@vwl.uni-hannover.de>: What does "national identity" mean here? What is the outcome variable? I find it hard to believe the exclusion restriction for any climate-based measure, in most cases [but see e.g. http://www.nber.org/papers/w14031 for a good example from economics]. It is in the nature of climate to affect everything directly, including the outcome, even if only in a small way. On Thu, Jun 23, 2011 at 5:52 AM, Matthias Opfinger <opfinger@vwl.uni-hannover.de> wrote:Thanks for the remark. Actually I try to instrument national identity. The instrument I want to use is the percentage of the land mass in temperate climatic zones. In a cross section that worked quite well, but I'm not sure how to use this in a panel setting. Am 23.06.2011 11:36, schrieb Nick Cox:There are many instrumental variable experts on the list who are better placed than I to comment on that side. I just want to point out that the implicit climatology here is fallacious, not that it needs a geographer who has occasionally published on climate to point it out. Whatever scheme of climatic zones is being considered here, and there are many standards to choose from, 1. it won't be true for most if not all large countries that they fall in just one climatic zone (think Russia, China, Brasil, USA, etc.) 2. it won't even be true for many smaller countries 3. the assumption that the climate is unchanging is also incorrect, although probably less important than 1 or 2 for this study. More positively, climatic zonation throws away information that is encoded in variables like precipitation, temperature, etc. but using the latter will underline the heterogeneity problem identified in 1 and 2. Nick n.j.cox@durham.ac.uk Matthias Opfinger I want to estimate a panel model with observations on approx. 90 countries for five points in time between 1980 and 2005. However, one of my explanatory variables is endogeneous. The only possible instrument is a variable on climatic zones. So it would be the same for each country over all points in time. How can I put this into my model? Do I just put the same value for each country over all the points in time and then use xtivreg?* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

-- Dipl.-Ök. Matthias Opfinger Leibniz Universität Hannover Institut für Makroökonomik Department of Economics Koenigsworther Platz 1 30167 Hannover Germany Phone: +49-(0)511-762-5655 http://kaldor.vwl.uni-hannover.de/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: constant variable as IV in panel?***From:*Matthias Opfinger <opfinger@vwl.uni-hannover.de>

**st: RE: constant variable as IV in panel?***From:*Nick Cox <n.j.cox@durham.ac.uk>

**Re: st: RE: constant variable as IV in panel?***From:*Matthias Opfinger <opfinger@vwl.uni-hannover.de>

**Re: st: RE: constant variable as IV in panel?***From:*Austin Nichols <austinnichols@gmail.com>

- Prev by Date:
**st: GLLAMM and rescaling sampling weights** - Next by Date:
**Re: st: Cox regression proportion of variance explained** - Previous by thread:
**Re: st: RE: constant variable as IV in panel?** - Next by thread:
**Re: st: constant variable as IV in panel?** - Index(es):