Indicators /
length of eligibility criteria

label Identifier Identifier
power_settings_new State State
flag Autonomy Autonomy
Element of composite index
description Description Description
This indicator counts number of characters of the eligibility criteria MINUS average number of characters of the given market's eligibility criteria. It indicates risk if eligibility criteria less visible deters bidders [ie. this indicator implies correlation between "overspecification" and tailored tenders - e.g. according to the statistics criteria length above market average by 520-2639 characters 16 increases probability of a single received bid by 10.4%-11.9% and the winner’s share within issuer’s contracts by 1.3% compared to the shortest criteria-length group]
location_on Country Country
language Language Language
link Link to project Link to project
face Developer Developer
Corruption Research Center Budapest
code Programming language Programming language
today Development date Development date
link Link to source code Link to source code
library_books Where to extract data from Where to extract data from
CRCB uses its own dataset for the index (partially available at Data contains of public procurement procedures conducted under Hungarian Public Procurement. Variables appear in 1) calls for tenders; 2) contract award notices; 3) contract modification notices; 4) contract completion announcements; 5) administrative corrections notices.
linear_scale Process phase Process phase
verified_user Validation Validation
verified_user Validation method Validation method
the indicator is partially validated. the developers only set forth possible ways of validation of CRI, but according to their own assessment, it takes several years to validate the aforementioned indicators on a whole scale. These elementary validation routes, however, are important as follows:
1. analysis of cross-sectional and time-series distribution of CRI
2. relationship between the amount of spending not reported in the PP database and CRI on the organisational level
3. analysis of profitability and turnover growth of winning firms with different CRI
4. political control of winning companies is collated with their CRI
5. comparison of average CRI of "crony companies" with those whose success is largely unaffected by government change.
folder_open Tags Tags
eligibility criteria
exclusion of bidders
input indicator
numeric indicator
rigged specifications
weighted indicator