Yemen, Rep. - Matching Grant Impact Evaluation 2015

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Matching grants are one of the most common types of private sector development programs used in developing countries. Matching grants consist of partial subsidies, typically 50 percent, provided by government programs to try to spur firms to undertake innovative activities. This study is a randomized experiment testing the impact of matching grants for business development services in the Republic of Yemen. The program provided firms with a matching grant of up to $10,000 as a 50 percent subsidy towards the cost of business services like finance and accounting systems, website creation, training, marketing, participation in exhibitions, and some associated goods such as office and IT equipment. The program was intended to run in two annual rounds, aimed to provide grants for business development services to 400 enterprises, 200 in each of two years. The program was launched in August 2013 and widely advertised through a 45-day campaign. Firms applied between October 1, 2013 and December 26, 2013. The first year of the program took place in 2014, but due to civil conflict outbreak in late March and early April 2015, the second year of the program was cancelled. The dataset documented here is based on the first round.

Type: 
Microdata
Acronym: 
MGIE 2015
Languages Supported: 
English
Topics: 
Topic not specified
Geographical Coverage: 
Yemen, Rep.
Release Date: 
November 12, 2015

Last Updated

Last Updated: 
November 12, 2015

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
8592
Reference ID: 

YEM_2015_MGIE_v01_M

Version Description: 
v01, edited dataset with firms identifying information removed
Funding Name, Abbreviation, Role: 
Umbrella Facility for Gender Equality
Study Type: 
Enterprise Survey
Primary Investigator Name, Affiliation: 
David McKenzie - World Bank
Sampling Procedure: 
Firms were selected for the program from among the eligible applicants in public randomization events held in Sana'a on January 9, 2014 and Aden on January 12, 2014. The only variable used in stratification was city, with separate drawings occurring in the two cities. The events were open to the public, and attendees included some of the applicants, members of the project's Advisory Committee, and media. In each city 100 firms were randomly drawn, along with a reserve list in case any of the originally selected firms withdrew from the program. In the end this resulted in 216 firms being randomly assigned to the treatment group. Researchers chose a random sample of 100 firms from the eligible applicants in each city to be the control group for the follow-up survey. Information from application forms of the firms in the treatment and control groups served as the baseline.
Response Rates: 
54.3% (226 of the target 416 firms). Attrition was higher in the control group (51%) than the treatment group (40.7%), with this difference statistically significant (p=0.036).
Questionnaires: 
Firms who applied for the grant had to fill out an application form. The form collected basic information on the firm such as employment level, sales, whether they export, types of innovative activities conducted in the past three years, and then basic information on what business development services they would like and an agreement to pay half the costs of these. The follow-up survey was conducted via phone given that safety issues, gas shortages, and time constraints prohibited an in-person survey. The questionnaire collected basic company information such as operating status and employment, the firm's innovation activities and use of consultants, financing from banks and the grant program, and on the firms' exports and sales. The firm follow-up questionnaire is available in Related Materials, but the application form is not.
Time Periods: 
August, 2017

No Visualizations Available.

Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigator - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download Example: David McKenzie, World Bank. Yemen, Rep. Matching Grant Impact Evaluation 2015. Ref. YEM_2015_MGIE_v01_M. Dataset downloaded from [URL] on [date].

Matching grants are one of the most common types of private sector development programs used in developing countries. Matching grants consist of partial subsidies, typically 50 percent, provided by government programs to try to spur firms to undertake innovative activities. This study is a randomized experiment testing the impact of matching grants for business development services in the Republic of Yemen. The program provided firms with a matching grant of up to $10,000 as a 50 percent subsidy towards the cost of business services like finance and accounting systems, website creation, training, marketing, participation in exhibitions, and some associated goods such as office and IT equipment. The program was intended to run in two annual rounds, aimed to provide grants for business development services to 400 enterprises, 200 in each of two years. The program was launched in August 2013 and widely advertised through a 45-day campaign. Firms applied between October 1, 2013 and December 26, 2013. The first year of the program took place in 2014, but due to civil conflict outbreak in late March and early April 2015, the second year of the program was cancelled. The dataset documented here is based on the first round.

FieldValue
Modified Date
2017-09-05
Release Date
Identifier
e445975a-e57b-4ba5-b27b-d40aa069a008
License
License Not Specified
Contact Email
Rating: 
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No votes yet
Reference ID: 
YEM_2015_MGIE_v01_M
Acronym: 
MGIE 2015
Type: 
Languages Supported: 
Response Rates: 
54.3% (226 of the target 416 firms). Attrition was higher in the control group (51%) than the treatment group (40.7%), with this difference statistically significant (p=0.036).
Time Periods: 
August, 2017
Primary Investigator Name, Affiliation: 
David McKenzie - World Bank
Funding Name, Abbreviation, Role: 
Umbrella Facility for Gender Equality
Terms of Use: 
Version Description: 
v01, edited dataset with firms identifying information removed
Geographical Coverage: 
Data Classification of a Dataset: 
Sampling Procedure: 
Firms were selected for the program from among the eligible applicants in public randomization events held in Sana'a on January 9, 2014 and Aden on January 12, 2014. The only variable used in stratification was city, with separate drawings occurring in the two cities. The events were open to the public, and attendees included some of the applicants, members of the project's Advisory Committee, and media. In each city 100 firms were randomly drawn, along with a reserve list in case any of the originally selected firms withdrew from the program. In the end this resulted in 216 firms being randomly assigned to the treatment group. Researchers chose a random sample of 100 firms from the eligible applicants in each city to be the control group for the follow-up survey. Information from application forms of the firms in the treatment and control groups served as the baseline.
Release Date: 
Thursday, November 12, 2015
Last Updated Date: 
Thursday, November 12, 2015
Questionnaires: 
Firms who applied for the grant had to fill out an application form. The form collected basic information on the firm such as employment level, sales, whether they export, types of innovative activities conducted in the past three years, and then basic information on what business development services they would like and an agreement to pay half the costs of these. The follow-up survey was conducted via phone given that safety issues, gas shortages, and time constraints prohibited an in-person survey. The questionnaire collected basic company information such as operating status and employment, the firm's innovation activities and use of consultants, financing from banks and the grant program, and on the firms' exports and sales. The firm follow-up questionnaire is available in Related Materials, but the application form is not.
Harvest Source: 
Harvest System ID: 
8592
Citation Text: 
Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigator - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download Example: David McKenzie, World Bank. Yemen, Rep. Matching Grant Impact Evaluation 2015. Ref. YEM_2015_MGIE_v01_M. Dataset downloaded from [URL] on [date].
Modified date: 
16751
Study Type: 
Enterprise Survey
Primary Dataset: 
Yes
Mode of Data Collection: 

Computer Assisted Telephone Interview

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