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World Inequality Database

World Inequality Database is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand World Inequality Database rather than just read about it. In short: World Inequality Database (WID), previously The World Wealth and Income Database, also known as WID.world, is an extensive, open and accessible database "on the historical evolution of the world distribution of income and wealth, both within countries and between countries". World Inequality Lab The World Inequality Lab aims to promote research on global inequality dynamics.

World Inequality Database — main illustration
World Inequality Database — illustration

Key takeaways

  • World Inequality Database belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect World Inequality Database to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of World Inequality Database from memory before moving on to harder problems.

Reference excerpt

World Inequality Database (WID), previously The World Wealth and Income Database, also known as WID.world, is an extensive, open and accessible database "on the historical evolution of the world distribution of income and wealth, both within countries and between countries".

World Inequality Lab The World Inequality Lab aims to promote research on global inequality dynamics. Its missions are the intension of the World Inequality Database, the production of analysis on global inequality dynamics, and the dissemination in the public debate. The Lab works in close coordination with a large international network of researchers (over one hundred researchers covering nearly seventy countries) contributing to the database, in a collaborative effort to extend the existing database, which provides data on both distribution of income and wealth, "as well as the distribution of different forms of capital assets, in the analyzed countries". The first WID, which was placed in an open source repository in September 2013, was compiled by Facundo Alvaredo, Anthony B. Atkinson, Thomas Piketty, Emmanuel Saez, and Gabriel Zucman. By 2015, the WID provided data series on the distribution of income and wealth in 33 countries mainly from the Americas and Europe. At that time, the intention was to "include data series for an additional forty countries." From 2016 to 2017, through a 2015 Centers for Equitable Growth (CEG), Piketty, Saez, and Zucman studied Distributional National Accounts (DINA) for the United States. "DINA are defined as distributional statistics of pre-tax and post-tax income and wealth consistent with National Income and Product Accounts, and the Flow of Funds of the United States."

World Inequality Report World Inequality Report is a report by the World Inequality Lab at the Paris School of Economics that provides estimates of global income and wealth inequality based on the most recent findings compiled by the World Inequality Database (WID). WID, also referred to as WID.world, is an open source database, that is part of an international collaborative effort of over a hundred researchers in five continents. The World Inequality Report includes discussions on potential future academic research as well as content useful for public debates and policy related to economic inequality. The first report, entitled World Inequality Report 2018, which was released on December 14, 2017, at the Paris School of Economics during the first WID.world Conference, was compiled by Facundo Alvaredo, Lucas Chancel, Thomas Piketty, Emmanuel Saez, and Gabriel Zucman based on WID data. The 300-page report cautions that since 1980, around the globe, there has been an increase in the gap between rich and poor. In Europe, the increase in inequality increased more moderately while in North America and Asia, the increase was rapid. In the Middle East, Africa, and Brazil, income inequality did not increase but remained at very high levels.

World Inequality Report, 2022 The 2022 World Inequality Report was published on Dec. 7th 2021. It was coordinated by economic and inequality experts Lucas Chancel, Thomas Piketty, Emmanuel Saez, and Gabriel Zucman over four years.

World Inequality Report, 2018 In 2018 Facundo Alvaredo, Lucas Chancel, Thomas Piketty, Emmanuel Saez, and Gabriel Zucman compiled the first report, the "World Inequality Report 2018" which was released on December 14, 2017, at the Paris School of Economics during the first WID.world Conference. The five part 300-page report discusses "the WID.world project and the measurement of economic inequality in Part I, trends in global income inequality in Part II, public versus private capital dynamics in Part III, trends in global wealth inequality in Part IV, "Tackling Economic Inequality" Methodological "details on how estimations were constructed are available at the report's website". According to the New York Times, "Policy, it turns out, matters. More aggressive redistribution through taxes and transfers has spared Europe from the acute disparities that Americans have grown used to. Unequal access to education is helping reproduce inequality in the United States down the generations." The Times article also noted that, "China's strategy based on low-skill manufacturing for export, and underpinned by aggressive investment in infrastructure, has proven more effective at raising living standards for the bottom half of the population than India's more inward-looking strategy, which has limited the benefits of globalization to the well-educated elite." Tetlow of the Financial Times described inequality as the "defining characteristic of the age" as The rich get richer and the poor get poorer. The India Times article drew attention to the way in which "[d]eregulation and opening-up reforms in India since 1980s have led to substantial increase in inequality so much that top 0.1% of earners has continued to capture more growth than all those in the bottom 50% combined." The WIR reported that, "Income inequality in India has reached historically high levels. In 2014, the share of national income accruing to India's top 1% of earners was 22%, while the share of the top 10% was around 56%." Quartz cited the report, "[S]ince 1980 the top 0.1% have captured as much income growth as the entire bottom half of world's (adult) population. And for the group of people in between the bottom 50% and top 1%—mostly the lower- and middle-income groups in North America and Europe—income growth has been either sluggish or flat." The WIR 2018 shows that, "The gap between rich and poor has increased in nearly every region in the world over the past few decades." Since "1980, income inequality has increased rapidly in North America and Asia, increased more moderately in Europe, and stabilized at very high levels in the Middle East, Africa, and Brazil."

History Pioneers of income inequality studies include Simon Kuznets' 1953 study, and A. B. Atkinson and Alan Harrison's 1978 study. In 1953 Kuznet co-edited Shares of Upper Income Groups in Savings. Kuznet, an American economist, statistician, demographer, economic historian, and winner of the 1971 Nobel Memorial Prize in Economic Sciences, identified the historical series of economic movements such as "Kuznets swing", in the economy cycles.

… excerpt ends here. Continue reading the full article.

Illustrations

World Inequality Database: WID logo
WID logo

Worked examples

Example 1 — a first encounter with World Inequality Database

Start with the simplest possible case. Write down what World Inequality Database claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to World Inequality Database before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about World Inequality Database ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of World Inequality Database

In research
World Inequality Database appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses World Inequality Database in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
World Inequality Database is common in secondary-school and first-year university syllabi. It links to neighbouring topics Books about economic inequality, Economic globalization, Economic inequality in the United States, so understanding it makes those chapters shorter.
In everyday life
Look for World Inequality Database outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study World Inequality Database in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what World Inequality Database means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain World Inequality Database out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is World Inequality Database in simple terms?

World Inequality Database (WID), previously The World Wealth and Income Database, also known as WID.world, is an extensive, open and accessible database "on the historical evolution of the world distribution of income and wealth, both within countries and between countries". World Inequality Lab Th…

Why does World Inequality Database matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study World Inequality Database?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on World Inequality Database.

Tags

  • Books about economic inequality
  • Economic globalization
  • Economic inequality in the United States
  • Economic research institutes
  • Economics research
  • Income distribution
  • Public economics
  • Research on poverty
  • Social inequality
  • Taxation and redistribution
  • Taxation in the United States

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