Dear experts,

I use a model with 06 independent variables and 02 interaction variables as follows:

Y = a0 + a1X1 + a2X2 + a3X3 + a4X1*X2 + a5X1*X3 + a6X4 + a7X5 + a8X6 + v

(a: coefficients, v: error term)

My panel data: N = 35 (Asian countries), T = 20 years.

I have some questions as follows:

1. Which estimation methods I should use?

2. When T < 25 and N > 25 like my case, should I use GMM?

Can I ignore the cross-sectional dependency and slope heterogeneity issues if I use GMM?

3. Are there any books or papers suggesting "Panel Framework Selection" (how to select estimators for panel data)?

Thank you very much indeed!

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