Hi, I am new to rd design and analysis. I am working with a household panel data with the following variables
hh_id wave Gender_head Education_Hhead Monthly Per_CapitaExp Poverty_status Distance(km)_
1 2002 1 0 130.05 1 30
1 2005 1 0 250.20 1 30
1 2010 1 1 350.20 1 30
2 2002 2 1 45.33 0 120
2 2005 2 1 75.0 0 120
2 2010 2 1 100.45 1 120
Wave=panel_years
Education_hhead - (0 not educated, 1 educated)
poverty_status - (0- poor, 1- not poor)
Distance(km) - household distance from an industrial cluster.

I want to understand the effect of the closeness of industrial clusters on households.

How can I
1. Run an rd using the distance as my running variable and have a treatment group household within distance 30km (cut off point)
2. Better still conduct a sensitivity analysis to understand the relationship between my indicator variables (per_capita Exp or poverty status) and distance.
3. run an rd plots and hist
4. is it possible to also conduct a Propensity score matching before Identify LATE in the rd Design. (how).