Measuring The Results Of Women’s Economic Empowerment

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Measuring the Results of Women’s Economic Empowerment inPrivate Sector DevelopmentGuidelines for Practitioners: Overview DocumentThis document provides a summary of the key findings f rom ‘Measuring Women’sEconomic Empowerment: Guidelines for Practitioners ’ produced by Erin Markel,MarketShare Associates, for the Donor Committee for Enterprise Development’sWomen’s Entrepreneurship Development Working Group (July 2014). For the fullpaper, including a comprehensive list of references which these guidelines drawupon, please visit d?id 2433 .Introduction“When women do better, economies do better.” --Christine Lagarde, Managing Director, InternationalMonetary Fund, Davos, 2013, addressing the issue of inclusive growth.Why do economies do better when women do better? In every part of the world, women are paid lessfor their work and see fewer benefits of their labour. Discrimination and extra household responsibilitiesreduce their access to decent work, capital and time needed to improve their businesses relative tomen. In short, women are more likely to live in poverty. Yet, across the developing world more womenthan ever are managing family farms and businesses. As technology enhances their access toinformation and inputs, they are starting to demand their rights. As millions of men migrate to urbanareas, new opportunities for women are opening up. More women entering the labour force canaccelerate poverty reduction, support sustainable markets and improve the welfare of families.Increasing the number of working women and their incomes is only part of the equation. For women,their families and society to reap the full benefits of development, investments in women must alsopromote their empowerment, e.g., a woman’s ability advance economically, and make and act oneconomic decisions. Studies by the World Bank, the Organisation for Economic Co-operation andDevelopment (OECD), the United Nations (UN) and others show that investments in private sectordevelopment that promote women’s economic empowerment can yield higher returns – in terms ofpoverty reduction and broader positive effects – on development, compared to investments that do notincorporate women’s economic empowerment. Donors have increasingly focused their private sectordevelopment strategies on women’s economic empowerment. Canada’s DFATD, USAID, UK’s DFID, Sida,SDC and Australia’s DFAT have recently produced updated strategies to enhance women’s economicempowerment and demonstrate their renewed commitments to gender equality.Why create guidelines for measuring the results of women’s economic empowerment in PSD at thehousehold-level?Most guidelines on women’s economic empowerment focus on theory or guiding implementationpractices, such as conducting gender analysis and designing successful interventions. Certain guidancedocuments are particularly helpful and relevant to private sector development (PSD) programmes such

as the work conducted by a multi-donor effort coordinated by the M4P Hub in 2011.1 However, thereare few documents available that provide suggestions on the measurement of women’s economicempowerment. The ones that do tend to focus on definitions and indicators and are not specificallytailored to PSD programmes. Moreover, most PSD programmes measure enterprise-level results ratherthan household-level results. Measuring household dynamics is important because this is one key placewhere women and men live and experience the various effects – positive and sometimes negative – ofdevelopment and empowerment.Therefore, these guidelines specifically aim to: Provide practical advice to practitioners seeking to measure women’s economicempowerment (WEE) in PSD programming; Document how to make each aspect of results measurement more gender-responsive; Highlight important issues in results measurement for practitioners focused on WEE, payingparticular attention to measuring household-level changes.Approach: The DCED Standard for Results Measurement and Case StudiesPractitioners work in complex and often shifting environments. The DCED Standard, developed by theDonor Committee for Enterprise Development (DCED), provides a framework which helps practitionersarticulate a hypothesis for what a programme will achieve, and to set and monitor indicators whichshow whether milestones are being achieved. The DCED Standard helps practitioners learn and adapt,while remaining rigorous in the measurement of results.Because the DCED Standard provides a helpful framework for measuring results in PSD, each section ofthese guidelines highlight how women’s economic empowerment can be integrated into the eightcomponents of the DCED Standard. These include: Component 1: Articulating Women’s Economic Empowerment in Results ChainsComponent 2: Gender-Responsive Indicators of ChangeComponent 3: Measuring Changes in Women’s Economic EmpowermentComponent 4: Estimating Attributable Changes in WEEComponent 5: Capturing Systemic ChangeComponent 6: Programme Costs for WEEComponent 7: Reporting on WEE ResultsComponent 8: Managing a Gender-responsive System for Results MeasurementIn particular, the guidelines draw from the good practices and lessons learned from Making MarketsWork for the Chars (M4C) in Bangladesh, implemented by Swisscontact and Practical Action, and theMarket Alliances in the Lesser Caucasus Region of Georgia the Alliances Lesser Caucasus Programme(ALCP), implemented by Mercy Corps. The programmes were selected by the DCED WED working groupbecause of the sophistication in their approach to measuring women’s economic empowerment.1The three main outputs were: a preliminary discussion paper by Linda Jones in 2012 entitled: Discussion Paper for an M4PWEE Framework: How can the Making Markets Work for the Poor Framework work for poor women and for poor men?; thedevelopment of M4P Hub Guidelines for the Integration of WEE into M4P Programmes in 2012, and a synthesis of generalconclusions in SDC’s E i Network Synthesis Report on WEE & M4P in 2012.

Component 1: Articulating Women’s Economic Empowerment in Results ChainsAccording to the DCED Standard, a results chain is a visual “hypothesis about how the activities of theprogramme are expected to lead to outputs, outcomes, and eventually development impact.” Thecomplexity of WEE makes it particularly important to map out your expected change pathways. Thereare several key elements to developing results chains for PSD programmes with women’s economicempowerment objectives.Define women’s economic empowermentMany definitions of women’s economic empowerment exist. Naila Kabeer writes that there areimportant differences, yet common themes arise around concepts of agency, choice and decisionmaking in relation to the market.2 For a review of various donor definitions and their common elementssee the M4P Hub’s: Discussion Paper for an M4P WEE Framework. 3A woman is economically empowered when she has both the: A) ability to succeed and advanceeconomically; and b) the power to make and act on economic decisions.Figure 1: WEE Main Components2Kabeer, Naila. Women’s Economic Empowerment & Inclusive Growth. Labour Markets and Enterprise Development. SIG Working Paper.2012.3Jones, Linda. Discussion Paper for an M4P WEE Framework: How can the Making Markets Work for the Poor Framework work for poorwomen and for poor men? M4P Hub. 2012.

Articulate your WEE approach and degree of focusA programme’s objectives, and time and resource constraints inevitably determine the degree to whicha programme can focus on WEE. This paper outlines five common approaches that fall along a spectrumof focusing on WEE: from a comprehensive Combination approach to no focus on gender. How theseapproaches link to the intensity of focus, and the potential risks and effects of each one is highlightedbelow.Figure 2: The PSD-WEE ContinuumThe experiences from M4C and ALCP suggest that articulating how both women and men will benefit, aswell as stating women’s economic empowerment as a key objective from the very start of a programmecan lead to greater success and results. Both programmes use a Combined approach (#1) in theirgender strategies. Using this Combined approach leaves both M4C and ALCP the flexibility to match therelevant approach to each unique intervention.Collect gender-responsive market researchConducting effective market research that incorporates an understanding of gender dynamics is theheart of any programme aiming to catalyse WEE.4 Experience suggests, programmes should rely onsound market research to understand the wider context including key market constraints andinfluencers on how women experience empowerment, and then select solutions and interventions that4Riisgaard, Lone; Fibla, Anna Maria Escobar and Ponte, Stefano. Evaluation Study: Gender and Value Chain Development.DANIDA, Ministry of Foreign Affairs of Denmark. 2010; experiences of the author; Making Markets Work for the Chars.Interview. Swisscontact. 2014; Alliances Lesser Caucasus Programme. Interview. Mercy Corps. 2014.

align with a programme’s resources, capacity and objectives. For instance, M4C and ALCP conductedtheir gender and market research in an integrated process, whereby their gender research included:1. Core market systems: gender roles and responsibilities in each sub-sector,2. Supporting functions: gender-based access and control over resources and services3. Rules: gender-friendly policies, social/community acceptance of women in various jobs, andwomen’s decision-making abilities and time-use.Create a PSD-WEE strategic results frameworkA strategic results framework is an overarching logic model that lays out the pathways of change for aprogramme. It establishes the rationale and general approach for reaching its programmatic goals.5 Thefigure below draws upon the M4C and ALCP programmes and shows how a commonly used PSDstrategic results framework links to a WEE pathway of change.Figure 3: PSD-WEE Results FrameworkSource: Erin MarkelDesign results chainsOnce good information is collected and strategic results frameworks are articulated, it is important forprogrammes to reflect this knowledge not only into programme design, but also into results chains.Results chains will differ based on a programme’s approach and degree of focus. Both M4C and ACLPfound that this process tends to be more straightforward for Women Targeted interventions, as eachstep in the results chain focuses specifically on women and their empowerment. Good practices forreflecting WEE into results chains from M4C and ALCP are presented below.5The Springfield Centre. The Operational Guide for the Making Markets Work for the Poor (M4P) Approach. SDC and DFID.2008. Guide%202008.pdf

Figure 4: ALCP - Gender Mainstreaming ExampleFigure 5: M4C – Women Targeted Example

Component 2: Gender-Responsive Indicators of ChangeThe DCED Standard requires that indicators correspond to the logic of the results chains. The resultschains clarify what you expect to happen at each step, and the matching indicators outline how you willmeasure the change.The DCED Standard’s universal indicators focus on the quantity of target enterprises, additional netincome and jobs generated by PSD programming. Programmes seeking to implement WEE as a keyprogramme objective will want to consider additional indicators to obtain a clearer picture ofempowerment.Based on the lessons learned from M4C and ALCP, it is suggested that programmes should consider: Including 1 or 2 indicators to measure PSD-WEE household-level dynamics at the outcome orimpact level for each intervention, in addition to the DCED Standard universal indicators.Ensuring a mix of indicators that address access to resources & agency. Access to resourcesincludes indicators like increases in income, skill development and employment opportunities,while agency refers to indicators such as time-use, decision making abilities and physicalmobility. CARE International notes that programs successful at sustaining empowerment forwomen in the long-term tend to address multiple layers of a woman’s empowerment.Including lots of strong qualitative indicators. Most categories of indicators at the householdlevel should be complemented by or conducted using qualitative methods.Determining whether to measure at the enterprise, household or individual level. Once youhave collected data at a certain unit of analysis you cannot normally go back and furtherdisaggregate your data.Determining whether to disaggregate indicators by sex, age, or employment status.Defining which change is positive and negative is important, especially with more complexindicators such as decision making or time-use, and subsequently verifying the assumptions.Select only those indicators of WEE that are both relevant and reasonably straightforward tomeasure.Figure 6: Basket of Indicators to Measure PSD-WEE Household-level DynamicsCategory12Access to income.Decision-makingregarding income,productive assets,investments, andexpenditures.Indicator (s)Additional net income accrued toan individual as a result of theprogramme per year.Perception of increase in incomeas a result of the programme peryear.% of recent householdexpenditure decisions in whichwomen have participated over theprevious X weeks.Ability to make decisions regardingprogramme-relevant householdexpenditures.Quantor QualQuantIndicator ReferenceRevised DCED Standard UniversalIndicator (individual unit of analysis).QualM4C.QuantUSAID. Women’s EmpowermentAgricultural Index (WEAI); WorldBank. Gender in Agriculture; ALCP.QualCIDA. Gender Sensitive IndicatorGuide; ALCP.

34567Division of labour,time,responsibilities.Freedom/restrictionof mobility.Changes indomestic violenceand householdconflict/tension.Gender norms, andmen’s and women’sattitudes towardgender roles.Women’s andmen’s sense of selfworth orconfidence.Ability to make programmerelevant decisions regarding thepurchase, sale, or transfer ofassets (small and large).QualPerception of importance ofwomen’s additional income tohousehold due to intervention.QualNumber of hours per day saveddue to intervention.Number of hours spent ondomestic chores per daySatisfaction of available leisuretime.Ability to make decisions regardinguse of time.Access to programme-relevantservices, within and outside theirresidential locality, as compared tocommunity norms.Changes in attitudes towardswomen and their mobility.Number of known incidences ofdomestic violence in thecommunity.Changes in attitudes towardsviolence against women.Changes in attitudes towardswomen and programme-relevantwork.QuantAuthor and ALCP.QuantQualWomen’s Empowerment AgriculturalIndex (WEAI); ALCP.Women’s Empowerment AgriculturalIndex (WEAI)Author and ALCP.Quantor QualCIDA. Gender Sensitive IndicatorGuide; author; ALCP; M4C.QualICRW.QualWorld Health Organization (WHO).QualWHO; ICRW.Quantor QualICRW; ALCP.Changes in attitudes towardswomen and access to programmerelevant services (mobility).Quantor QualPerceptions of self-worth, and/orconfidence.QualQualWorld Bank. Gender in Agriculture.USAID. Women’s EmpowermentAgricultural Index (WEAI); CIDA.Gender Sensitive Indicator Guide;ALCP.SDC. Gender in Household andCommunity Analysis; M4CBangladesh; ALCP.CARE International; OxfamInternational; M4C; ALCP.Source: Erin Markel, 2014.Component 3: Measuring Changes in Women’s Economic EmpowermentOnce you have defined your indicators, the next step is to select your method(s) for measurement.There are various methods available, and they vary in cost, required expertise and the type ofempowerment indicators they measure.Find innovative ways to integrate WEE into commonly used PSD research toolsThere are many ways to collect data on WEE indicators. In order to simplify and cut back costs, it can behelpful to integrate WEE measurements into commonly applied PSD surveys and studies. This can be

particularly important for collecting quantitative WEE data. The below figure provides tips based on theexperiences of M4C and ALCP on common survey methods used in PSD programming.Figure 7: Integration tips for quantitative and qualitative methods from M4C and ALCPCommon eStrategies for Integrating a)b)c)d)Focus groupdiscussionsYesKey informantinterviewsYesValidationworkshopsYesAsk about sex-disaggregated participation numbers intrainings offeredInclude questions about the gender-responsiveness oftraining content.Enquire about whether the enterprise is male- or femalerun or owned.Ask enterprises to track how they engage with bothwomen and men (customers, suppliers, training).Determine the number of male and female employeesand their roles or positionsEnsure an individual unit of analysis.Include questions on household dynamics and women’sand men’s perspectives on gender issues.If including women in the sample, apply sub-modules towomen within the household on decision makingregarding income, productive assets, investments andexpenditures, and division of labour, time, andresponsibilities.Analysis of attitudes between men and women todifferent service providers can be added into householdsurveys.Qualitativea) Conduct separately with women and men.b) Be aware of socio-cultural norms for sharing informationin groups. Many of the household-level indicators aresensitive topics.a) Aim to speak with a woman alone. If not possible, ensurethat people within earshot understand that she is toanswer first and others can answer if the facilitator asksthem to do so.b) Include questions on all household-level indicators.a) Helpful to use after conducting smaller sample sizequalitative research. Conduct with men and womenseparately if discussing household-level issues.Additional ResourcesRequiredCan be includedwithout muchadditional time orresources.Can be includedwithout muchadditional time orresources.Can add time tointerviews.Requires additionalexpertise to enumeratethe survey withwomen.Time-use questionsneed qualitative followup.Adds time to groupdiscussions.None. Includesdiscussions withwomen whereotherwise men wouldhave been interviewed.Can add time to groupdiscussions, yet helps toreduce sample sizes ofquantitative andqualitative research,thus, will end upreducing resources.

Collect reliable household-level data on WEEThe below section provides a summary table with specific considerations and tips for collecting genderresponsive data for each suggested indicator category. A detailed version of the table with examples ofresearch questions and analysis from M4C and ALCP are provided in the full report under Annex C.Figure 8: Summary chart of PSD-WEE Measurement of IndicatorsHouseholdIndicatorCategoryMostApplicable ToPotential ChallengesTipsDifficulty of ApplicationAccess toincome.Whenmeasuringchanges inaccess toresources.Mistrust of the interviewerleads to deliberatemisreporting. Establishingtrust with women can bemore difficult than withmen in certain conservativecontexts.Bring a staff member whospeaks the local language.Contact and receive buy-inahead of time fromcommunity leaders, so thewoman knows the communitysupports her.Medium: can be undertaken usingquantitative and/or qualitativemethods. If done quantitatively,will need qualitative follow up tounderstand impact on women.Disaggregating between awoman’s and man’shousehold income due tofamily-run businesses andjoint responsibilities.Do not disaggregatehousehold income by sex inquantitative surveys. Instead,use the household as the unitof analysis and follow up withqualitative studies tounderstand contribution ofincome by individuals.Many surveys reinforcegender stereotypes in termsof how households usemoney.Ask questions that are directlylinked to your programme’sinterventions. Avoid askinggeneral decision-makingquestions or questions aboutcommonly purchased item bywomen such as clothing orfood.D

Measuring the Results of Women’s Economic Empowerment in Private Sector Development Guidelines for Practitioners: Overview Document This document provides a summary of the key findings from ‘Measuring Women’s Economic Empowerment: Guidelines for Practitioners’ produced by Erin Markel,File Size: 1MB

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