Public Expenditure Tracking Survey in Education 2007, Second Round
Madagascar, 2007
Get MicrodataIdentification
MDG_2007_PETSEr2_v01_M
Public Expenditure Tracking Survey in Education 2007
Second Round
| Name | Country code |
|---|---|
| Madagascar | MDG |
Public Expenditure Tracking Survey (PETS)
A Public Expenditure Tracking Survey (PETS) is a diagnostic tool used to study the flow of public funds from the center to service providers. It has successfully been applied in many countries around the world where public accounting systems function poorly or provide unreliable information. The PETS has proven to be a useful tool to identify and quantify the leakage of funds. The PETS has also served as an analytical tool for understanding the causes underlying problems, so that informed policies can be developed. Finally, PETS results have successfully been used to improve transparency and accountability by supporting "power of information" campaigns.
PETS are often combined with Quantitative Service Delivery Surveys (QSDS) in order to obtain a more complete picture of the efficiency and equity of a public allocation system, activities at the provider level, as well as various agents involved in the process of service delivery.
While most of PETS and QSDS have been conducted in the health and education sectors, a few have also covered other sectors, such as justice, Early Childhood Programs, water, agriculture, and rural roads.
In the past decade, about 40 PETS and QSDS have been implemented in about 30 countries. While a large majority of these surveys have been conducted in Africa, which currently accounts for 66 percent of the total number of studies, PETS/QSDS have been implemented in all six regions of the World Bank (East Asia and Pacific, Europe and Central Asia, Latin America and Caribbean, Middle East and North Africa, South Asia and Sub-Saharan Africa).
This study investigated the different resource flows in the financing of the public primary education sector in Madagascar.
The survey was conducted in two rounds. The first round was carried out in October-November 2006 and the second round in April-May 2007. The study was implemented using stratified random sampling. Data from more than 200 schools in 28 districts was analyzed.
Public Expenditure Tracking Survey among Madagascar health care facilities and workers was conducted at the same time with PETS in Education.
Sample survey data [ssd]
- Cisco (Circonscription Scolaire/District Education Facility);
- Schools;
- School Principals;
- Teachers.
Version
v01 - Final, edited datasets.
Documented here are final, cleaned datasets prepared by the World Bank based on raw datasets provided by the study researchers.
The description of the difference between raw and edited datasets is taken from "Data Cleaning Guide for PETS/QSDS Surveys" (p.10):
"Each country set includes two data files. The first file, the "raw" data file, presents the data as collected and entered by the survey teams. While field teams do conduct very high-level coherence tests with regards to responses collected, the data contained therein has generally not been thoroughly checked for internal coherence across questions, variable outliers and other such involved data cleaning procedures.
The second file, the "final" data file, has been reviewed in order to ensure consistency both within and across single observations. While the sanctity of data is paramount, such that no changes are made if it cannot be asserted that the edited value is closer to the "true" value than the previous entry, data edits are introduced into the final data set. The list of edits applied are listed in the available Stata 10 © do-file associated with each data set. Furthermore, each do-file includes other tests that were applied to the data set. In addition, basic statistical analysis is applied to variables in order to identify potential statistical outliers. Outlier values that cannot be explained are replaced by missing values in the "final" data set; these changes are reported both in the do-file and in the Data Quality Report.
Finally, independently of the values presented in the questionnaires, missing values are replaced across all "final" data sets to ensure consistency across countries. Following industry best practices, negative 3-digit integers are used in order to ensure there is no confusion between missing values and valid data points. "
"Data Cleaning Guide for PETS/QSDS Surveys" is available in external resources.
Scope
The scope of the study includes:
Tuition fees (caisse école), school kits, school equipment, parents-teachers association (FRAM), teachers' salaries, teacher characteristics, director characteristics, school characteristics, commune characteristics, Cisco (Circonscription Scolaire/District Education Facility), allocation of government teachers, monitoring and inspection.
| Topic | Vocabulary |
|---|---|
| Primary Education | World Bank |
Coverage
Provinces: Antananarivo, Fianarantsoa, Toamasina, Mahajanga, Toliara and Antsiranana.
Producers and sponsors
| Name |
|---|
| World Bank |
| UNICEF |
| Ministere de L’education Nationale et de la Recherche Scientifique |
Sampling
The study was conducted using stratified random sampling.
The stratified sample was set up in such a way to be representative at the national level. Madagascar has 22 regions and 111 districts, and at least one district was visited in each region. Two districts were selected in the six largest regions. Hence, 28 districts were visited in total. The selected districts were obtained through random selection, giving greater (less) weight to districts with more (less) public primary schools within the district. In each district, three communes were randomly selected, giving greater weight to the communes with more schools. Within each commune, three public primary schools were randomly selected. By ranking schools from large to small and ensuring that a school was picked out of each tercile, a representative sample of school sizes was chosen.
In order to track different resource flows from the decentralized district facility levels to the schools, surveys were organized at district and school levels. At the local level, the directors of the education facility as well as teachers were interviewed independently. To ensure compatibility, the surveys at district and school levels were held at the same time.
In total, 252 schools were visited. Due to closure of some schools during either the first or the second round (or both rounds), researchers ended up with reliable panel data on 229 schools. Finally, it is noteworthy that the second round of data collection faced greater challenges to collect the data and therefore results were less robust for the second round. (For example, researchers faced mismatching codes for some schools and health centers as well as personnel codes between both rounds; there were a lot of blank entries on school equipment and other line items in the second round, and there were more cases where collected information on certain budgets did not add up to the total of those budgets as reported by the enumerators in the second round).
Overall, in the province of Antananarivo 54 schools were visited, 63 schools were visited in Fianarantsoa, 36 - in Toamasina, 45 - in Mahajanga, 36 - in Toliara and 18 - in Antsiranana.
Survey instrument
The following survey instruments are available:
- Enquête Au Niveau Des Établissements Scolaires, Enquete Cisco;
- Enquête Au Niveau Des Établissements Scolaires, Enquete Directeur Ecole, Visite 1er Jour;
- Enquête Au Niveau Des Établissements Scolaires, Enquete Directeur Ecole, Visite 2ème Jour;
- Enquête Au Niveau Des Établissements Scolaires, Enquete Enseignant.
Data collection
| Start | End |
|---|---|
| 2007-04 | 2007-05 |
Data processing
Detailed information about data editing procedures is available in "Data Cleaning Guide for PETS/QSDS Surveys" in external resources.
STATA cleaning do-files and data quality reports can also be found in external resources.
Data Access
Public use file
The use of this dataset must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number
- the source and date of download (for datasets disseminated on-line)
Example:
World Bank, UNICEF, Ministere de L’education Nationale et de la Recherche Scientifique. Public Expenditure Tracking Survey in Education, Second Round (PETSEr2) 2007. Ref. MDG_2007_PETSEr2_v01_M. Dataset downloaded from http://microdata.worldbank.org on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
| Name | Affiliation | |
|---|---|---|
| Hooman Dabidian | World Bank | hdabidian@worldbank.org |
| Cindy Audiguier | World Bank | caudiguier@worldbank.org |
Metadata production
DDI_MDG_2007_PETSEr2_v01_M
| Name | Affiliation | Role |
|---|---|---|
| Antonina Redko | DECDG, World Bank | DDI documentation |
2011-08-05
Metadata version
v01 (August, 2011)