Ecuadorian Datasets

Laboratorio de Investigación para el Desarrollo del Ecuador

Daniel Sánchez-Pazmiño

2024-08

Introduction

  • Why worry about understanding Ecuadorian data?

  • What do some of the best articles by Ecuadorian researchers or those focused on Ecuador have in common?

    • Adão et al. (2022): The key input fed into our empirical analysis is a unique administrative data set from Ecuador that merges firm-to-firm transaction data, employer-employee matched data, owner-firm matched data, and firm-level customs transaction records.

    • Bosch and Schady (2019): To analyze the effects of transfers on the choice between formal and informal employment, we used the cédula of focal women, as reported in the 2007/08 poverty census, and merged in data on contributions to social security from IESS.

    • Rivadeneira (2023): […] I use hand-collected and digitized historical tax records from Ecuador’s Spanish colonial regime to estimate the long-run effects of a forced labor institution named concertaje.

Is a good idea enough?

  • A good research question is fundamental but not enough.

  • It is generally necessary to have empirical evidence to support our answer to the research question

    • This implies having information or data.
  • Feasible access to data that allows answering the question defines the success of the project.

    • What data is needed?
    • Where is the data? How can it be obtained?
    • Is it easily accessible? How much time/resources are needed to obtain it?

Data Collection

  • Primary data collection: direct collection of the phenomenon of interest by the researcher
    • It arises from primary sources (i.e., the respondent)
    • It can be expensive and require time.
    • Surveys, experiments, observations.
    • An ethics review board (internal review board) will be required.
  • Secondary sources: information collected by other researchers or institutions, usable for our purposes.
    • Free or paid.
    • Censuses, survey data, administrative records, social media data.
  • This course focuses on the use of secondary sources.

Common Issues for Ecuadorian Research Questions

  • There are secondary data sources, but they are not always easy to find or access.

  • Ecuador’s statistical capacity has been declining in recent years.

  • Information may be limited or unavailable in useful formats/aggregations.

  • Special permissions may be required.

  • Data documentation may be limited, and data quality is not guaranteed.

  • Formal education on the use of Ecuadorian research data is limited.

Types of Data

  1. Censuses: collection of information from an entire population (or a large part of it).
    • Example: Censo de Población y Vivienda, Censo Económico.
    • Advantages: excellent coverage, large number of variables of interest.
    • Disadvantages: infrequent, not available for various situations and/or aggregations.

Types of Data

  1. Surveys: collection of information from part of the population (sample).
    • Example: Encuesta Nacional de Empleo, Desempleo y Subempleo (ENEMDU), Encuesta de Condiciones de Vida (ECV), Encuesta de Salud y Nutrición (ENSANUT).
    • Advantages: depending on the case, frequent updates and a large number of variables of interest, possibility of obtaining detailed information.
    • Disadvantages: limitations in coverage, information quality, generally not possible to track individuals.

Types of Data

  1. Administrative data: collected by institutions, generally public, for non-research purposes, but which can still be used.
    • Example: employment records from IESS, company records from Superintendencia de Compañías.
    • Advantages: great coverage, frequent updates, possibility of tracking individual units.
    • Disadvantages: limitations in quality, inconvenient formats or access, statistical complications, lack of variables of research interest.

Various Data Presentations

  • It is very important to differentiate the ways in which information is presented and how we can access it.

  • For this, it is important to recognize the unit of observation of the data.

    • What is the information being collected about?
  • Example: ENEMDU

    • Unit of observation: individuals (people) and households.

Types of Data Presentation

  • There are different ways an institution releases data:
    • Metadata: information about the data, such as variables, codes, definitions, etc.
    • Microdata or individual data: information at the level of individuals, companies, households, etc.
    • Aggregated or tabulated data: summarized information, generally at the level of groups such as provinces, economic sectors, etc.
    • Reports: information presented in documents, generally with analysis and graphics. Also includes dynamic dashboards.
    • Database: several tables of microdata that can be joined by an identifier.

An overview of Ecuadorian data

  • There are several institutions that produce data in Ecuador:
    • Public institutions (central and local governments)
    • Non-governmental initiatives (civil society)
    • International organizations
  • Most easily accesible data comes from the Instituto Nacional de Estadística y Censos (INEC).
    • Every country has an institute with a mandate for statistical data collection.
    • Responsible for the administration of censuses and surveys
    • Maintains an information library for data from other institutions

An overview of Ecuadorian data

  • Macroeconomic information comes from the Central Bank of Ecuador (BCE)

  • Other important institutions to consider:

    • Civil Registry: demographic information
    • Internal Revenue Service (SRI): tax information
    • Superintendence of Companies: information on companies and stock market
    • Ecuadorian Institute of Social Security (IESS): employment, health, pensions

Using the INEC Website

INEC

Using the INEC Website

  • When you have a topic in mind, you can search for statistics by topic.

INEC

Using the INEC Website

  • INEC also enables searches for statistics by source: censuses, surveys, administrative records, etc.

INEC

Main Censuses

  • Population and Housing Census - Censo de Población y Vivienda

  • National Economic Census - Censo Nacional Económico

  • National Agricultural Census - Censo Nacional Agropecuario

  • Census of Environmental Economic Information in Provincial GADs - Censo de Información Económica Ambiental en los GADs Provinciales

Population and Housing Census

  • On the INEC website, the information for the Population and Housing Census is only updated to 2010.

  • The last census was conducted in 2022 and can be found on a separate page.

Main Surveys

  • Encuesta Nacional de Empleo, Desempleo y Subempleo (ENEMDU) - Employment

  • Encuesta Nacional de Salud y Nutrición (ENSANUT) - Health and Nutrition

  • Encuesta de Condiciones de Vida (ECV) - Living Conditions

  • Encuesta Nacional Multipropósito - Multipurpose National Survey

  • Encuesta de Salud y Bienestar del Adulto Mayor (SABE) - Health and Well-being of the Elderly

ENEMDU

  • Employment survey, representative at the national and urban-rural levels**.

  • Conducted monthly

    • The “quarterly” and “annual” ENEMDU are aggregations of the monthly surveys.
    • Aggregations allow for greater representativeness and reduced sampling errors.
  • You can access tabulations, metadata, and microdata of the ENEMDU on the INEC website.

ENEMDU Homepage

ENEMDU Homepage

ENEMDU Tabulations, Reports, and Metadata

  • Accessible resources:
    • Main results (report)
    • Tabulations and historical series (tabulations)
    • Technical sheets, user guides, variable dictionaries, methodology, and syntax (metadata)
  • Transition matrices allow for tracking individuals over time through the survey waves.

ENEMDU Data

  • Accessible for the current period, previous years, and transition matrices.
    • Formats available: SPSS and CSV.
  • Information from previous years is available on the INEC Open Data Bank

ENEMDU Data

Main Administrative Records

Useful Aggregator Websites

International Surveys

International Data Sets

Open Data Initiatives

Civil Sector Initiatives

Special Data

References

Adão, Rodrigo, Paul Carrillo, Arnaud Costinot, Dave Donaldson, and Dina Pomeranz. 2022. “Imports, Exports, and Earnings Inequality: Measures of Exposure and Estimates of Incidence*.” The Quarterly Journal of Economics 137 (3): 1553–1614. https://doi.org/10.1093/qje/qjac012.
Bosch, Mariano, and Norbert Schady. 2019. “The Effect of Welfare Payments on Work: Regression Discontinuity Evidence from Ecuador.” Journal of Development Economics 139 (June): 17–27. https://doi.org/10.1016/j.jdeveco.2019.01.008.
Rivadeneira, Alex. 2023. “The Legacy of Concertaje in Ecuador.” In Roots of Underdevelopment: A New Economic and Political History of Latin America and the Caribbean, edited by Felipe Valencia Caicedo, 127–62. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-38723-4_5.