Function reference • coresoi

Red flags of corruption risk in emergencies

Selected elementary indicators of corruption risk

ind_1(): Compute Winning rate across the crisis indicator

ind_2(): Compute Awarded economic value across the crisis indicator

ind_3(): Compute Contract economic deviation across the crisis indicator

ind_4(): Compute Contract length deviation across the crisis indicator

ind_5(): Compute Excess of concentration of the winners’ distribution indicator

ind_6(): Compute Award communication default across the crisis indicator

ind_7(): Compute One-shot opportunistic companies over the crisis indicator

ind_8(): Compute Pre-existing contracts modified after the crisis indicator

ind_9(): Compute Lenghty contracts indicator

ind_all(): Compute all the elementary indicators

Composite Indicator (CI) of corruption risk in emergencies

Synthetic indicator of corruption risk by contracting authority, company, province and region + Sensitivity Analysis + IRT dimensionality assessement of the elementary indicators

create_indicator_matrix(): Create matrix of elementary indicators

manage_missing(): Manage missing values in elementary indicators

normalise(): Normalise the elementary indicators

get_weights(): Get the set of weights for building the composite indicator

aggregate(): Aggregate the elementary indicators on the provided data matrix

compute_composite(): Compute composite indicator

composite_sensitivity(): Perform a complete sensitivity analysis of the composite indicator

dimensionality_check(): Dimensionality Check

Data

Sample dataset extracted from our source with which resarchers can play

mock_data_core: Italian Banca Dati Nazionali dei Contratti Pubblici (BDNCP)

Others

Functions that help us during aggregation, computation and displaying results.

emergency_dates(): get the emergency date from input string

get_associated_cpv_from_emergency(): Get the associated CPV code(s) from emergency name.