Hi,
I am currently investigating the effects of labour demand on house prices at a local authority level. I have my data in yearly (%) changes for the period 2016-2021, for 320 local authorities in the UK.
I have allocated each local authority an ID - which range from 1-320.
I have been using time and region fixed effects using the functions (i.year i.ID), but have since been suggested to use i.year, fe cluster(ID). The results are similar for both, but using (i.year i.ID) gives me a higher R squared value, I am wondering if that means I should use this command over the other?
Also, I have then categorised each local authority into 1 of 9 wider regions (south east, London, north east etc..), so each ID belongs to a group 'region' in which they are labelled with a number (1-9) depending on the region they belong to.
I am looking to investigate whether the effects of labour demand vary across these 9 regions, and was hoping someone could advise me on how to do so? I have tried using c.labour_demand##region, which gives me some results, but I am unsure on whether that is telling me what I am trying to investigate?
thank you very much, any help would be really appreciated.
I am currently investigating the effects of labour demand on house prices at a local authority level. I have my data in yearly (%) changes for the period 2016-2021, for 320 local authorities in the UK.
I have allocated each local authority an ID - which range from 1-320.
I have been using time and region fixed effects using the functions (i.year i.ID), but have since been suggested to use i.year, fe cluster(ID). The results are similar for both, but using (i.year i.ID) gives me a higher R squared value, I am wondering if that means I should use this command over the other?
Also, I have then categorised each local authority into 1 of 9 wider regions (south east, London, north east etc..), so each ID belongs to a group 'region' in which they are labelled with a number (1-9) depending on the region they belong to.
I am looking to investigate whether the effects of labour demand vary across these 9 regions, and was hoping someone could advise me on how to do so? I have tried using c.labour_demand##region, which gives me some results, but I am unsure on whether that is telling me what I am trying to investigate?
thank you very much, any help would be really appreciated.
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