![]() Buttons on the right of the graph let you share the graph, export it as an image, or export the underlying data. Once you have selected a concept, the menu will ask you to specify other characteristics of the series requested (currency, population unit, age group, average/share/aggregate, depending on what is relevant to the context considered).įor country graphs, you can display several series simultaneously, assuming they have the same unit. The last category “other indicators” refers to other categories such as prices, exchange rates and populations. If you choose them, a menu will appear to let you select a concept (top-right corner) and a part of the distribution (or the Gini coefficient). The two categories “income inequality” and “wealth inequality” refer to distributed variables. Most concepts can be decomposed into more subconcepts by click on the arrow on their right. To select a variable from these categories, click on them, and then choose a concept from the menu that appears. The two categories “average & total income” and “average & total wealth” refer to macroeconomic aggregates. This section of the menu is divided into five categories. To access other series, choose “more indicators” at the bottom of the menu. ![]() By default, it suggests a handful of “key indicators” which corresponds to the most common and the most widely available types of indicators requested. ![]() In both cases, the variable selection is done via the menu of the left. The “BY COUNTRY” section of the section can be used to display several series for the same country. The “WORLD” section of the website can be used to display the data for all the available countries on a world map, and to plot the same series over time for different countries. The WID.world website offers several basic graphing capabilities. Overall, we can distinguish four ways of accessing the data on WID.world. For two of them (R and Stata), we provide packages to directly access the WID. For more advanced analyses, they can download the data and then import it into their preferred statistical software. Users can take directly take advantage of the graphing capabilities on WID.world to make simple plots. National net imports of carbon emissionsġ. Wealth/Income Ratios and Labor/Capital Share Price Index, Exchange Rates, Populations, etc. Consumption and Savings of the Government Secondary Income of Financial Corporations Secondary Income of Non-financial Corporations Primary Income of Non-financial Corporations Consumption and Savings of the Household Sector Secondary Incomes of the Household Sector Consumption and Savings of Households and NPISH Secondary Incomes of Households and NPISH Labor and Capital Share of National Income Decomposition of National Income between Sectors Net National Income, GDP, Foreign Incomes, and Consumption of Fixed Capital ![]() Packages for Statistical Software (R and Stata) ![]() For a more in-depth description of concepts and estimation methods, please refer to the DINA guidelines or our library of papers. Note that this document is mostly dedicated to describing the technical organization of the database. The other sections describe the different WID codes that exist in the database. Section 2 then explains the general structure of the variables. Section 1 starts by explaining the different ways of accessing the database. It explains how information is organized within it, and how to retrieve and interpret it content. The present document describes the general structure of the World Inequality Database (WID). ![]()
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