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The indicator detects an increase across the emergency in the rate of contracts for which the contracting authorities have not communicated the award details to Anticorruption Authority, with reference to contracts belonging to relevant economic market.

Motivation

The red flag considers at risk those contracting authorities with an increase in the communication default rate of award information, hence a worsening of their communication duties.

Scoring rule

The computation procedure returns 1 - p-value of the involved test (so that high values of the indicator correspond to high levels of corruption risk). When computing the composite, it will be dichotomised to 1 if statistical test is significant, and 0 otherwise (see normalise()).

Main target unit

This indicator targets contracting authorities.

Usage

ind_6(
  data,
  publication_date,
  emergency_name,
  award_col,
  stat_unit,
  test_type,
  cpvs,
  ...
)

Arguments

data

a dataframe containing the data to use for computing the indicator.

publication_date

name of the variable in data containing the publication date of each contract.

emergency_name

string specifying the name of the emergency to consider. Examples could include "Coronavirus" or "Terremoto Centro Italia 2016-2017".

award_col

name of the variable in datacontaining the award notice ID for each contract.

stat_unit

name of the variable in data containing the target unit ID (in this case, contracting authority).

test_type

string specifying the statistical test to use for computing the indicator. Available options are "barnard", "fisher", or "z-test".

cpvs

character vector of CPV divisions (first two digits of CPV code) on which data are filtered out. Note: a panel of experts have already chosen which CPV divisions are most affected by which emergency.

...

other parameters to pass to generate_indicator_schema(), such as country_name (default: Italy).

Value

indicator schema as from generate_indicator_schema().

Examples

if (FALSE) {
if (interactive()) {
  ind_6(
    data = mock_data_core,
    publication_date = data_pubblicazione,
    emergency_name = "coronavirus",
    award_col = id_aggiudicazione,
    stat_unit = cf_amministrazione_appaltante,
    test_type = "fisher"
  )
}
}