README:

Observational data at individual or village level:

1) .dta
	- Individual.dta: final data on individuals
	- Village.dta: final data on villages
	- prop.dta: data on locations of the villages
	- consumption.dta: consumption at individual level
	- IJK_level.dta: triangle level data
	- network_regressors_triples.dta: network characteristics for triples
	- ErrorRates_Village_New.dta: error rates at village level
	- dummied_error.dta
	- randomizationdata.dta: basic information about village
	- randomizationdataR.dta: basic information about village
	- inequality.dta: inequality data at village level
	- noRT.dta
	- coding_podes08.dta: village size
	- randomizationM.dta
	- rankCorrelations.dta
	- urban_rural.dta: defines villages as rural or urban
	- inequality_wilcah.dta: 
	- gini2_al.dta: gini at village level
	- matching_relation.dta: 
	- MergedKin.dta

2) .csv
	- StochasticDominance.csv: stochastic dominance at village level
	- NW_Size.csv: network size
	- network_regressors_triples.csv: raw data for network regressors
	- network_regressors_vertex.csv: raw data for network regressors
	- network_regressors_village.csv: raw data for network regressors


Simulations

1) Main simulations 
	- Vertex_Data_ex8: exercise 8 simulated data vertex level
	- Triples_Data_ex8: exercise 8 triples data simulated
	- simulatedFOSD_ex8: exercise 8 simulated FOSD
	- Village_Data_ex8: exercise 8 simulated data village level

2) Other exercises

	- Village_Data_exp: simulated data at village level
	- simulatedFOSD_exp: simulated data
	- Vertex_Data_exp: vertex data simulated
	- Triples_Data_exp: Triples data simulated

	- StochasticDominance_droping_links.csv: exercise 2 simulated data stochastic dominance
	- StataDataVillage_ex2_droplinks.csv: exercise 2 simulated data village level
	- StataDataTriple_ex2_droplinks.csv: exercise 2 simulated data triple data


	- simulatedFOSD_vil_ex4: exercise 4 simulated FOSD
	- simulatedFOSD_vil1_ex4sim: exercise 4 simulated FOSD — case 2: we estimate and simulate data under the filled network
	- Triples_Data_ex4: exercise 4 triples data simulated
	- Triples_Data_vil_ex4: exercise 4 triples data simulated — case 2: we estimate and simulate data under the filled network
	- Vertex_Data_exp: exercise 4 simulated data vertex level
	- Vertex_Data_vil_ex4: exercise 4 simulated data vertex level - case 2: we estimate and simulate data under the filled network
	- Village_Data_vil_ex4: exercise 4 simulated data village level
	- Village_Data_vil_ex4sim: exercise 4 simulated data village level - case 2: we estimate and simulate data under the filled network

	- StataDataTriple_ex4_filllinks.csv: triple characteristics of filled networks
	- StataDataVertex_ex4_filllinks.csv: vertex characteristics of filled networks
	- StataDataVillage_ex4_filllinks.csv: village characteristics of filled networks

	- StataDataTriple_ex10DroplinksV2.csv: exercise 10 triples simulations
	- StataDataVertex_ex10DroplinksV2.csv: exercise 10 vertex simulations
	- StataDataVillage_ex10DroplinksV2.csv: exercise 10 village simulations
	- StochasticDominance_dropinglinksV2ex10.csv: exercise 10 FOSD simulations

	- NamedLinks.dta: named links in the data
	- NamedKin.dta: named kin in the data


NOTE: These are the datasets needed to run all the main regressions and robustness exercises.
