OK, I've looked over the command help for "arbond", and I think I
understand the basics, and this should do the trick. I do have a
couple of questions:
The help suggests that most indepedent variables should be
differenced, presumably because the D.V. is differenced by the A-B
method. It says that though in certain cases, such as time dummies,
you night want want differenced variables. What would you recommend
doing with other sorts of dummies? Two I have in mind are dummies to
represent intermittent exogenous events, specifically elections and
natural disaster (droughts and floods). I assume they should be differenced?
Also, this paragraph has me a little confused:
"By default the results of 1-step estimation are reported (with
robust standard errors). You may select 2-step estimation as an
option. In both cases tests for autocorrelation of orders 1 and 2 are
provided, as well as the Sargan overidentification test and a Wald
test for the joint significance of the regressors. Note that in this
differenced model first-order autocorrelation is not a threat to the
validity of the model, but second-order autocorrelation violates the
maintained statistical assumptions."
Which statistical assumptions does second-order autocorrelation
violate? Those of either procedure, or just the two-steps? And what
to do if estimation reveals significant second-order or higher
autocorrelations? By the way, is there any reason I'd want to use
1-step rather than 2-step?
Scott