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Hi, I am writing a project at university and I would like to examine pricing asymmetry in the UK retail petrol market. I have weekly data since 2003 on petrol prices and also crude oil prices. I would like to examine the hypothesis that retail petrol prices adjust more quickly to increases in crude ...

The granger method i just opened my data as a balanced panel (quarterly data) then highlighted the series i required and clicked: QUICK: GROUP STATISTICS: GRANGER CAUSALITY TEST: OK ....hope this helps

Thanks

I have one explanatory dummy variable and several

1

Thanks again.

I have just the one dummy variable

Thanks again for your continued help

A logit regression was suggested

I am now a little confused with the best way to do this.

Thanks Again

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I have 1 discrete (dummy) explanatory variable which is time-series

SIMPLY: What is the difference between these two?

Does it matter which one i choose for my panel probit analysis?

Thanks