Center for Global Development Dataverse

Data sets for Center for Global Development research.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 10 of 324 Results

Replication Data for: 2022 Global Refugee Work Rights Report Apr 15, 2025 Ginn, T.; Resstack, R.; Dempster, H.; Arnold-Fernandez, E.; Miller, S.; Guerrero Ble, M.; Kanyamanza, B., 2022, "Replication Data for: 2022 Global Refugee Work Rights Report", https://doi.org/10.7910/DVN/CKNNVT, Harvard Dataverse, V3, UNF:6:ZPr+rPldVzEPSwoxObUogQ== [fileUNF] Most refugees face significant legal and practical barriers to full economic inclusion in the labor markets of their host countries. While these barriers are widely discussed in general terms, a systematic, public documentation of these barriers is important to advance the efforts toward economic inclusion. In the 2022 Global Refugee Work Rights Re...
2022 Global Refugee Work Rights Report.pdf Apr 15, 2025 - Replication Data for: 2022 Global Refugee Work Rights Report Adobe PDF - 10.8 MB - MD5: b8cf7b86841a3881da1e43f6ff716b12 Documentation Full report
Refugee Work Rights Dataset v2.dta Apr 15, 2025 - Replication Data for: 2022 Global Refugee Work Rights Report Stata Binary - 22.9 KB - MD5: 62898e765f4661073d653d69a7661150 Dataset (.dta file) - June 2024 Update. Now includes the countries of Burkina Faso, Djibouti, Liberia, Mauritania, Niger, Republic of the Congo, South Sudan (n = 58).
Refugee Work Rights Dataset v2.csv Mar 10, 2025 - Replication Data for: 2022 Global Refugee Work Rights Report Tabular Data - 70.8 KB - 51 Variables, 58 Observations - UNF:6:O+Ruf+A+PlUEr8rpNpkLMw== Dataset (.csv file) - June 2024 Update. Now includes the countries of Burkina Faso, Djibouti, Liberia, Mauritania, Niger, Republic of the Congo, South Sudan (n = 58).
Refugee Work Rights Dataset.dta Jul 28, 2022 - Replication Data for: 2022 Global Refugee Work Rights Report Stata 14 Binary - 38.5 KB - MD5: ae79724b1054aa3ce30da556ac59b248 Data Dataset (.dta file)
Refugee Work Rights Dataset.tsv Jul 28, 2022 - Replication Data for: 2022 Global Refugee Work Rights Report Tab-Separated Values - 62.0 KB - MD5: 4829d753872690e3bfc4fabb126dcedd Dataset (.tsv file)
Replication Data for: Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia Dec 14, 2018 Grover, Dhruv; Bauhoff, Sebastian; Friedman, Jed, 2018, "Replication Data for: Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia", https://doi.org/10.7910/DVN/LHUIBO, Harvard Dataverse, V1 Independent verification is a critical component of performance-based financing (PBF) in health care, in which facilities are offered incentives to increase the volume of specific services but the same incentives may lead them to over-report. We examine alternative strategies for targeted sampling of health clinics for independent verification. Spe...
bayesOptRF.m Dec 14, 2018 - Replication Data for: Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia Plain Text - 744 B - MD5: 89fd6590e8e6e9775dc820d328ae44c4
computeF1.m Dec 14, 2018 - Replication Data for: Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia Plain Text - 235 B - MD5: b4bd99f5be469c3f92e3179df01d940d
computeFoldSizes.m Dec 14, 2018 - Replication Data for: Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia Plain Text - 2.0 KB - MD5: 616cd245ee878921c18fbfcefc470ad5

Replication Data for: 2022 Global Refugee Work Rights Report

Apr 15, 2025

Ginn, T.; Resstack, R.; Dempster, H.; Arnold-Fernandez, E.; Miller, S.; Guerrero Ble, M.; Kanyamanza, B., 2022, "Replication Data for: 2022 Global Refugee Work Rights Report", https://doi.org/10.7910/DVN/CKNNVT, Harvard Dataverse, V3, UNF:6:ZPr+rPldVzEPSwoxObUogQ== [fileUNF]

Most refugees face significant legal and practical barriers to full economic inclusion in the labor markets of their host countries. While these barriers are widely discussed in general terms, a systematic, public documentation of these barriers is important to advance the efforts toward economic inclusion. In the 2022 Global Refugee Work Rights Re...

2022 Global Refugee Work Rights Report.pdf

Apr 15, 2025 - Replication Data for: 2022 Global Refugee Work Rights Report

Adobe PDF - 10.8 MB -

Documentation

Full report

Refugee Work Rights Dataset v2.dta

Apr 15, 2025 - Replication Data for: 2022 Global Refugee Work Rights Report

Stata Binary - 22.9 KB -

Dataset (.dta file) - June 2024 Update. Now includes the countries of Burkina Faso, Djibouti, Liberia, Mauritania, Niger, Republic of the Congo, South Sudan (n = 58).

Refugee Work Rights Dataset v2.csv

Mar 10, 2025 - Replication Data for: 2022 Global Refugee Work Rights Report

Tabular Data - 70.8 KB - 51 Variables, 58 Observations -

Dataset (.csv file) - June 2024 Update. Now includes the countries of Burkina Faso, Djibouti, Liberia, Mauritania, Niger, Republic of the Congo, South Sudan (n = 58).

Refugee Work Rights Dataset.dta

Jul 28, 2022 - Replication Data for: 2022 Global Refugee Work Rights Report

Stata 14 Binary - 38.5 KB -

Data

Dataset (.dta file)

Refugee Work Rights Dataset.tsv

Jul 28, 2022 - Replication Data for: 2022 Global Refugee Work Rights Report

Tab-Separated Values - 62.0 KB -

Dataset (.tsv file)

Replication Data for: Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia

Dec 14, 2018

Grover, Dhruv; Bauhoff, Sebastian; Friedman, Jed, 2018, "Replication Data for: Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia", https://doi.org/10.7910/DVN/LHUIBO, Harvard Dataverse, V1

Independent verification is a critical component of performance-based financing (PBF) in health care, in which facilities are offered incentives to increase the volume of specific services but the same incentives may lead them to over-report. We examine alternative strategies for targeted sampling of health clinics for independent verification. Spe...

bayesOptRF.m

Dec 14, 2018 - Replication Data for: Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia

Plain Text - 744 B -

computeF1.m

Dec 14, 2018 - Replication Data for: Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia

Plain Text - 235 B -

computeFoldSizes.m

Dec 14, 2018 - Replication Data for: Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia

Plain Text - 2.0 KB -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications