Dictionary for translating model variable names

A combined dataset containing all model variable dictionaries merged using bind_rows(). For details see create_dictionaries. Includes variable names and metadata required for obtaining data from different sources.

Usage

dict

Format

A tibble with 226 rows and 33 variables:

model_varname: Variable name in the model equations, must be unique
full_name: Full name/description of the variable
variable_code: Identifier of the variable if applicable, e.g. Eurostat variable code
database: Name of the database (e.g., "eurostat", "edgar", "statcan", "imf")
dataset_id: Identifier of the dataset where the variable is available
var_col: Name of variable/column in dataset
freq: Frequency of the variable in the dataset. "m" for monthly, "q" for quarterly, "a" for annual
geo: ISO 3166-1 alpha-2 country code or region identifier (lowercase)
unit: Unit in which the variable is measured
s_adj: Seasonal adjustment indicator
nace_r2: Identifier for NACE Rev. 2 classification where applicable
cpa2_1: Eurostat identifier for Classification of Products by Activity (CPA)
sector: Sector classification where applicable
direct: Direction indicator where applicable
age: Age category where applicable
partner: Partner country or entity where applicable
finpos: Financial position indicator where applicable
p_adj: Price adjustment indicator where applicable
meat: Meat type classification where applicable
citizen: Citizenship status where applicable
wstatus: Work status where applicable
tra_oper: Transport operation classification where applicable
ipcc_sector: EDGAR IPCC National Greenhouse Gas Inventories sector code
GEO: Geographical location for StatCan data (uppercase)
Seasonal adjustment: Seasonal adjustment indicator for StatCan data
North American Industry Classification System (NAICS): Classification of industries for StatCan data
North American Product Classification System (NAPCS): Product classification for StatCan data
Prices: Price level for specific categories in StatCan data
Type of fuel: Fuel type specification for StatCan data
Products and product groups: Product categorization for StatCan data
ref_area: Geographical reference area for IMF data
commodity: Type of commodity for IMF data
unit_measure: Unit of measurement for IMF data

Source

Combined from multiple data sources including Eurostat, EDGAR, StatCan, and IMF.

Note

Should new filters be necessary, users can simply add additional columns to the dictionary with names that exactly match how they appear in the relevant retrieval function. For example, if using the eurostat R package, statcanR, or imf.data, the column names should match exactly as they appear in the returned data from these packages. If for example a statcanR query returns a column called Socio-economic objectives, users should add that exact column name (including all spaces and other characters) to the dictionary.