PER_2011_L2L_v01_M
The World Bank Listening to LAC (L2L) Pilot 2011
Name | Country code |
---|---|
Peru | PER |
Other Household Survey [hh/oth]
Sample survey data [ssd]
v01
The scope of the study includes rigorous testing using experimental design of:
Includes the entire national territory, with the exception of neighborhoods where access of interviewers is extremely difficult, due to lack of transportation infrastructure or for situations that threaten the physical integrity of the interviewers and supervisors (i.e. extremely high crime rate, warfare, etc.)
Name |
---|
World Bank |
Name | Role |
---|---|
Gallup | Survey implementation |
Name |
---|
Spanish Trust Fund for Latin America and the Caribbean |
Rapid Social Response trust fund |
Environmentally and Socially Sustainable Development trust fund |
The Brightstar Corporation |
The Peru panel was built on a nationally representative sample of 1,500 households. The sample was based on the sampling frame for the National Household Survey (ENAHO) conducted by the Peruvian National Statistics Office (INEI) every three months.
In Peru, the sample selection was guided by the following criteria: (i) the sample should be representative nationally, and in urban and rural areas, and (ii) households close to poverty line should be oversampled because policy decisions in time of crises need to be especially mindful of the poor and vulnerable. For the purposes of this project, "close to poverty line" was defined as 40 percent of consumption distribution that symmetrically band the national poverty line: 20 percent above and 20 percent below. In 27 percent of Peruvian households monthly per capita consumption was below the moderate poverty line in 2010 (ENAHO).Those households whose monthly per capita consumption falls between 7 and 47 percent of the national distribution were oversampled.
The L2L sample frame comprises all the panel conglomerados from the fourth trimester of ENAHO 2010, or 281 conglomerados.
Detailed information about the sampling procedure is available in "Listening to LAC: Using Mobile Phones for High Frequency Data Collection, Final Report" (p. 65-69) and "The World Bank Listening to LAC (L2L) Pilot Project Sample Design for Peru."
A number of restive communities in Peru did not allow Gallup's interviewers to enter the area. Where possible, these were replaced following INEI's standard methodology. When confronted with a problem in a particular location, INEI moves to the next "Centro Poblado" in the same "Conglomerado."
In Peru, 67 percent of recruited households failed to answer the first round of follow-up surveys. Attrition slightly increased with each wave of the survey (between 1 and 3 percentage points per wave), reaching 75 percent in wave 6.
As part of the survey administration process Gallup implemented a number of mechanisms to maximize the response rate and panelist retention. The following strategies were applied to respondents who did not replay first time:
Also, in order to minimize non-response, three types of incentives were given. First, households that did not own a mobile phone were provided one for free. Approximately 200 phones were donated in Peru. Second, all communications between the interviewers and the households were free to the respondents. Finally, households were randomly assigned to one of three incentive levels: one-third of households received US$1 in free airtime for each questionnaire they answered, one-third received US$5 in free airtime, and one-third received no financial incentive (the control group).
The sample design overrepresented conglomerates where household income was close to the poverty line (20% above or 20% below it) versus all other conglomerates. The oversample needed to be corrected by accounting for the sample selection probability by creating a base weight. The National Household Survey (ENAHO) data on the size of the conglomerates that made up the 2 L2L strata was used to create targets for the size of the L2L strata.
Using the ENAHO data, Gallup created targets for the distribution of the age of the head of household, and the highest level of education of the head of household. The L2L data were trimmed so as to balance bias (how close the demographics of the weighted data align to the targets) and efficiency (the size of the design effect from weighting). Then the data were renormalized so that the sum of the weights equals the number of observations.
The following survey instruments were used in the project:
In Peru, the starting point was the ENAHO (National Household Survey) questionnaire. Step-wise regressions were done to select the set of questions that best predicted consumption. For the purposes of robustness, the regressions were also done with questions that best predicted income, which yielded the same results.
The survey gathered information on households' demographics, household infrastructure, employment, remittances, income, accidents, food security, self-perceptions on poverty, Internet access and cellphones use.
The questionnaires were worded exactly the same way, regardless of the mode, which meant short questions, since SMS is limited to 160 characters. A maximum of 10 questions had to be chosen for the monthly questionnaire. In addition, two questions sought to ensure the validity of the responses by testing if the respondent was a member of the household. Most questions were time-variant and each questionnaire was repeated to observe if answers changed over time. All questions related to variables that strongly affect household welfare and are likely to change in times of crisis.
A maximum of 10 questions was chosen for the monthly questionnaire. In addition, two questions sought to ensure the validity of the responses by testing if the respondent was a member of the household. To accomplish this, the first two questions in each monthly questionnaire asked the respondent for their gender and year of birth, and the answers were compared to the household roster obtained during the face-to-face interview.
Gallup conducted face-to-face closing surveys among 700 panelists. The researchers asked about issues the respondets had with mobile phones and coverage during the test. Panelists were also asked what would motivate them to keep on participating in a project like this in the future.
Start | End |
---|---|
2011-10 | 2012-06 |
Name |
---|
Gallup |
On average, 20 interviewers and 5 supervisors were trained in each country.
Gallup conducted a total of 12 training sessions with all its operational partners prior to launching the project. The training included:
In Peru, households were randomly assigned to a communication mode (SMS, IVR, CATI), which stayed constant for all six waves of the survey.
Through a competitive bidding process, Gallup won the contract to implement L2L on the ground. Working with affiliates in Peru and Honduras, Gallup successfully completed the initial face-to-face interviews, monthly or bi-monthly surveys using mobile phones, and a final face-to-face interview of a sub-group of the initial sample. Gallup completed the face-to-face interviews as well as the IVR and CATI interviews in-house, and subcontracted the SMS interviews to an SMS aggregator.
Despite extensive planning by the World Bank and Gallup teams, no SMS messages went out during the week of April 23 due to an error by the SMS aggregator, which simply forgot to program the system to send out messages that week. However, in this case, the messages went out the next week and the response rates did not suffer as a result.
Use of the dataset must be acknowledged using a citation which would include:
Example:
World Bank. Peru the World Bank Listening to LAC (L2L) Pilot 2011. Ref. PER_2011_L2L_v01_M. Dataset downloaded from [url] on [date].
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.
Name | Affiliation | |
---|---|---|
Amparo Ballivian | World Bank | aballivian@worldbank.org |
Joao Pedro Azevedo | World Bank | jazevedo@worldbank.org |
DDI_PER_2011_L2L_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Data Group | World Bank | Survey documentation |
2014-06-19
v01 (June 2014)
This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.