Training materials for gender analysis

UN Women Asia Pacific Gender Statistics Training 

UN. (n.d.). Training: Asset ownership from a gender perspective. 

UN Women and ILO. (2021). Strengthening Gender Measures and Data in the COVID-19 Era: An urgent need for change.

Care Work and the Economy – American University

1. Gender responsive budgeting

UK Women’s Budget Group website provides many resources and tools on how to conduct analysis of fiscal policies from a gender equality perspective. One  example is UK Women’s Budget Group. (2018). Women Count: A casebook for gender responsive budgeting groups. 

UN Women Gender Responsive Budgeting website, provides a large number of case studies and video links.  

2. Three feminist tools to build back fairer after Covid

The content of these three tools is explained in this blog. The tools could be of interest to a wide audience, Ikkarakan’s Guide to Public Investments in the Care Economy focuses on  input-output approaches combined with microsimulations and hence could be of particular relevance for PEP’s CGE modellers.

• Fontana, Marzia. (2021). Assessing the gendered employment impacts of COVID-19 and supporting a gender-responsive recovery. A country-level policy tool. Joint Programme on Promoting Decent Employment for Women through Inclusive Growth Policies and Investments in Care. UN Women and ILO.

• Ikkarakan, Ipek. (2021). A guide to Public Investments in the Care Economy. Policy Tool for estimating care deficits, investment costs and economic returns. Joint Programme on Promoting Decent Employment for Women through Inclusive Growth Policies and Investments in Care. UN Women and ILO. 

• Seguino, Stephanie. (2021). How to assess fiscal stimulus packages from a gender equality perspective. Joint Programme on Promoting Decent Employment for Women through Inclusive Growth Policies and Investments in Care. UN Women and ILO. 

Aguilar, L. (2009). Training Manual on Gender and Climate Change. 
Prepared with joint contributions from International Union for Conservation of Nature (IUCN) and the United Nations Development Programme (UNDP) in partnership with the Gender and Water Alliance, International Network on Gender and Sustainable Energy (ENERGIA), United Nations Educational, Scientific and Cultural Organization (UNESCO), Food and Agriculture Organization (FAO) and the Women‘s Environment and Development Organization (WEDO) as part of the Global Gender and Climate Alliance (GGCA). 

SDR (2008) Gender perspectives: Integrating Disaster Risk Reduction into Climate Change Adaptation: Good Practices and Lessons learned. 

Jost C, Ferdous N, Spicer TD, 2014. Gender and inclusion toolbox: Participatory research in climate change and agriculture. CGIAR Research Programme on Climate Change, Agriculture and Food Security (CCAFS), Copenhagen, Denmark.

World Bank Group; FAO; IFAD. (2015). Gender in Climate-Smart Agriculture: Module 18 for Gender in Agriculture Sourcebook. World Bank, Food and Agriculture Organization of the United Nations, and the International Fund for Agricultural Development. 

Chernozhukov, Fernández‐Val, Melly (2013)

• Chernozhukov, V., Fernández‐Val, I., & Melly, B. (2013). Inference on Counterfactual Distributions. Econometrica, 81(6), 2205-2268. [Journal Article]
• Counterfactual distributions: estimation and inference in Stata [Presentation PDF, via stata.com]
• Stata - Inference on counterfactual distributions [Links to Stata programs]

Firpo, Fortin, Lemieux (FFL)

• Firpo, S., Fortin, N. M., Lemieux, T. 2009. Unconditional quantile regressions. Econometrica 77: 953–973. [Journal Article]
• Rios-Avila, F. (2020). Recentered influence functions (RIFs) in Stata: RIF regression and RIF decomposition. The Stata Journal: Promoting Communications on Statistics and Stata, 20(1), 51-94. [Journal Article]

Machado-Mata (MM)

• Machado, J., & Mata, J. (2005). Counterfactual decomposition of changes in wage distributions using quantile regression. Journal Of Applied Econometrics, 20(4), 445-465. [Journal Article]

• Simulate (counterfactual) distributions from quantile regressions (w/optional sample selection correction) [Stata program]

Melly (2005)

• Melly, B. (2005). Decomposition of differences in distribution using quantile regression. Labour Economics, 12(4), 577-590. [Journal Article]
• Stata - Decomposition of differences in distribution using quantile regression

Manual for calculating motherhood wage gaps
Vchkov, I. and Petreski, M. (2017). Gender and Motherhood Wage Gaps in Macedonia: Manual for Calculations with Applications in Stata. FinanceThink, Skopje. [Manual]

IFPRI: International Food Policy Research Institute, Gender Website.

Engendering Men: Evidence on Routes to Gender Equality (EMERGE) via promundoglobal.org

Men, Boys and Gender Equality

U.N. Women, (2017). Gender on the Move: Working on the Migration-Development Nexus from a Gender Perspective. [Training Manual]