QoG Data

The Worldwide Bureaucracy Indicators (WWBI) database is a unique cross-national dataset on public sector employment and wages that aims to fill an information gap, thereby helping researchers, development practitioners, and policymakers gain a better understanding of the personnel dimensions of state capability, the footprint of the public sector within the overall labor market, and the fiscal implications of the public sector wage bill. The dataset is derived from administrative data and household surveys, thereby complementing existing, expert perception-based approaches.

The WWBI includes 302 indicators that are estimated from microdata drawn from the labor force and household welfare surveys and augmented with administrative data for 202 economies in five categories: the demographics of the private and public sector workforces; public sector wage premiums; relative wages and pay compression ratios, gender pay gaps; and the public sector wage bill.

The micro and administrative data utilized in the construction of the WWBI are drawn from data catalogs housing surveys conducted by national statistical organizations (NSO) or multilateral organization data teams. Together, these provide an important, albeit narrow, picture of the skills and incentives of bureaucrats. Indicators on public employment track key demographic characteristics including the size of the public sector workforce (in absolute and relative numbers), their age, and distributions across genders, industries, income quintiles, and academic qualifications. Variables on compensation capture both the competitiveness of public sector wages (compared to the private sector) as well as wage differentials across industry or occupation of employment, genders, education, and income quintiles within the public and private sectors as well as pay compression ratios in public and private sectors. The indicators on the size of the wage bill offer a glimpse into the structure and affordability of the public sector within the larger economy.

Please keep in mind that, for the purposes of the QoG compilations, we have taken a subset of the indicators. Please find all of the indicators of this dataset in its original URL: https://datacatalog.worldbank.org/search/dataset/0038132

Citation:

• The World Bank. (2022). Worldwide bureacracy indicators version 3.0. https://datacatalog.worldbank.org/search/dataset/0038132

Variables in this dataset:

Female to male wage ratio in the private sector (using mean)

QoG Code: wwbi_fmwrprmean

Female to male wage ratio in the private sector (using mean)

Dataset type:	Time-Series
Dataset level:	Country

Worldwide Bureaucracy Indicators

Data source: The World Bank Group

Description:

Citation:

Variables in this dataset:

QoG Code: wwbi_fmwrprmean

QoG Code: wwbi_fmwrprmedian

QoG Code: wwbi_fmwrpumean

QoG Code: wwbi_fmwrpumedian

QoG Code: wwbi_fsprpemp

QoG Code: wwbi_fspuemp

QoG Code: wwbi_meanageprpe

QoG Code: wwbi_meanagepupe

QoG Code: wwbi_medianageprpe

QoG Code: wwbi_medianagepupe

QoG Code: wwbi_paycomppr

QoG Code: wwbi_paycomppu

QoG Code: wwbi_prpemphi

QoG Code: wwbi_prpempss

QoG Code: wwbi_prpempum

QoG Code: wwbi_psefemp

QoG Code: wwbi_psemptot

QoG Code: wwbi_psemptotf

QoG Code: wwbi_psemptotm

QoG Code: wwbi_psemptotr

QoG Code: wwbi_psemptotu

QoG Code: wwbi_psepemp

QoG Code: wwbi_psepempf

QoG Code: wwbi_psepempm

QoG Code: wwbi_psepempr

QoG Code: wwbi_psepempu

QoG Code: wwbi_pupemphi

QoG Code: wwbi_pupempss

QoG Code: wwbi_pupempum

QoG Code: wwbi_rrespripemp

QoG Code: wwbi_rrespubpemp

QoG Code: wwbi_sprpempn

QoG Code: wwbi_sprpempp

QoG Code: wwbi_sprpemps

QoG Code: wwbi_sprpempt

QoG Code: wwbi_spupempn

QoG Code: wwbi_spupempp

QoG Code: wwbi_spupemps

QoG Code: wwbi_spupempt

QoG Code: wwbi_tertiarypubsec