100+ datasets found
  1. Great Recession: global gross domestic product (GDP) growth from 2007 to...

    • statista.com
    Updated Nov 23, 2022
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    Statista (2022). Great Recession: global gross domestic product (GDP) growth from 2007 to 2011 [Dataset]. https://www.statista.com/statistics/1347029/great-recession-global-gdp-growth/
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    Dataset updated
    Nov 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    From the Summer of 2007 until the end of 2009 (at least), the world was gripped by a series of economic crises commonly known as the Global Financial Crisis (2007-2008) and the Great Recession (2008-2009). The financial crisis was triggered by the collapse of the U.S. housing market, which caused panic on Wall Street, the center of global finance in New York. Due to the outsized nature of the U.S. economy compared to other countries and particularly the centrality of U.S. finance for the world economy, the crisis spread quickly to other countries, affecting most regions across the globe. By 2009, global GDP growth was in negative territory, with international credit markets frozen, international trade contracting, and tens of millions of workers being made unemployed.

    Global similarities, global differences

    Since the 1980s, the world economy had entered a period of integration and globalization. This process particularly accelerated after the collapse of the Soviet Union ended the Cold War (1947-1991). This was the period of the 'Washington Consensus', whereby the U.S. and international institutions such as the World Bank and IMF promoted policies of economic liberalization across the globe. This increasing interdependence and openness to the global economy meant that when the crisis hit in 2007, many countries experienced the same issues. This is particularly evident in the synchronization of the recessions in the most advanced economies of the G7. Nevertheless, the aggregate global GDP number masks the important regional differences which occurred during the recession. While the more advanced economies of North America, Western Europe, and Japan were all hit hard, along with countries who are reliant on them for trade or finance, large emerging economies such as India and China bucked this trend. In particular, China's huge fiscal stimulus in 2008-2009 likely did much to prevent the global economy from sliding further into a depression. In 2009, while the United States' GDP sank to -2.6 percent, China's GDP, as reported by national authorities, was almost 10 percent.

  2. s

    Great Recession: consumer confidence level in the U.S. 2007-2010

    • statista.com
    Updated Nov 21, 2022
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    Statista (2022). Great Recession: consumer confidence level in the U.S. 2007-2010 [Dataset]. https://www.statista.com/statistics/1346284/consumer-confidence-us-great-recession/
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    Dataset updated
    Nov 21, 2022
    Dataset authored and provided by
    Statista
    Time period covered
    Jan 2007 - Jan 2010
    Area covered
    United States
    Description

    The Great Recession was a period of economic contraction which came in the wake of the Global Financial Crisis of 2007-2008. The recession was triggered by the collapse of the U.S. housing market and subsequent bankruptcies among Wall Street financial institutions, the most significant of which being the bankruptcy of Lehman Brothers in September 2008, the largest bankruptcy in U.S. history. These economic convulsions caused consumer confidence, measured by the Consumer Confidence Index (CCI), to drop sharply in 2007 and the beginning of 2008. How does the Consumer Confidence Index work? The CCI measures household's expectation of their future economic situation and, consequently, their likely future spending and savings decisions. A score of 100 in the index would indicate a neutral economic outlook, with consumers neither being optimistic nor pessimistic about the near future. Scores below 100 are then more pessimistic, while scores above 100 indicate optimism about the economy. Consumer confidence can have a self-fulfilling effect on the economy, as when consumers are pessimistic about the economy, they tend to save and postpone spending, contracting aggregate demand and causing the economy to slow down. Conversely, when consumers are optimistic and willing to spend, this can have a reinforcing effect as wages and employment may rise when consumers spend more. CCI and the Great Recession As the reality of the trouble which the U.S. financial sector was in set in over 2007, consumer confidence dropped sharply from being slightly positive, to being deeply pessimistic by the Summer of 2008. While confidence began to slowly rebound up until September 2008, with the panic caused by Lehman's bankruptcy and the freezing of new credit creation, the CCI plummeted once more, reaching its lowest point during the recession in February 2008. The U.S. government stepped in to prevent the bankruptcy of AIG in 2008, promising to do the same for any future possible failures in the financial system. This 'backstopping' policy, whereby the government assured that the economy would not be allowed to fall further into crisis, along with the Federal Reserve's unconventional monetary policies used to restart the economy, contributed to a rebound in consumer confidence in 2009 and 2010. In spite of this, consumers still remained pessimistic about the economy.

  3. Great Recession: GDP growth rates for G7 countries from 2007 to 2011

    • statista.com
    Updated Nov 22, 2022
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    Statista (2022). Great Recession: GDP growth rates for G7 countries from 2007 to 2011 [Dataset]. https://www.statista.com/statistics/1346722/gdp-growth-rate-g7-great-recession/
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    Dataset updated
    Nov 22, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    From the onset of the Global Financial Crisis in the Summer of 2007, the world economy experienced an almost unprecedented period of turmoil in which millions of people were made unemployed, businesses declared bankruptcy en masse, and structurally critical financial institutions failed. The crisis was triggered by the collapse of the U.S. housing market and subsequent losses by investment banks such as Bear Stearns, Lehman Brothers, and Merrill Lynch. These institutions, which had become over-leveraged with complex financial securities known as derivatives, were tied to each other through a web of financial contracts, meaning that the collapse of one investment bank could trigger the collapse of several others. As Lehman Brothers failed on September 15. 2008, becoming the largest bankruptcy in U.S. history, shockwaves were felt throughout the global financial system. The sudden stop of flows of credit worldwide caused a financial panic and sent most of the world's largest economies into a deep recession, later known as the Great Recession. The World Economy in recession
    More than any other period in history, the world economy had become highly interconnected and interdependent over the period from the 1970s to 2007. As governments liberalized financial flows, banks and other financial institutions could take money in one country and invest it in another part of the globe. Financial institutions and other non-financial companies became multinational, meaning that they had subsidiaries and partners in many regions. All this meant that when Wall Street, the center of global finance in New York City, was shaken by bankruptcies and credit freezes in late 2007, other advanced economies did not need to wait long to feel the tremors. All of the G7 countries, the seven most economically advanced western-aligned countries, entered recession in 2008, before experiencing an even deeper trough in 2009. While all returned to growth by 2010, this was less stable in the countries of the Eurozone (Germany, France, Italy) over the following years due to the Eurozone crisis, as well as in Japan, which has had issues with low growth since the mid-1990s.

  4. F

    Gross Domestic Product

    • fred.stlouisfed.org
    • trends.sourcemedium.com
    json
    Updated Sep 25, 2025
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    (2025). Gross Domestic Product [Dataset]. https://fred.stlouisfed.org/series/GDP
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    jsonAvailable download formats
    Dataset updated
    Sep 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

  5. Great Recession: GDP growth for the E7 emerging economies 2007-2011

    • statista.com
    Updated Nov 23, 2022
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    Statista (2022). Great Recession: GDP growth for the E7 emerging economies 2007-2011 [Dataset]. https://www.statista.com/statistics/1346915/great-recession-e7-emerging-economies-gdp-growth/
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    Dataset updated
    Nov 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    The Global Financial Crisis (2007-2008), which began due to the collapse of the U.S. housing market, had a negative effect in many regions across the globe. The global recession which followed the crisis in 2008 and 2009 showed how interdependent and synchronized many of the world's economies had become, with the largest advanced economies showing very similar patterns of negative GDP growth during the crisis. Among the largest emerging economies (commonly referred to as the 'E7'), however, a different pattern emerged, with some countries avoiding a recession altogether. Some commentators have particularly pointed to 2008-2009 as the moment in which China emerged on the world stage as an economic superpower and a key driver of global economic growth. The Great Recession in the developing world While some countries, such as Russia, Mexico, and Turkey, experienced severe recessions due to their connections to the United States and Europe, others such as China, India, and Indonesia managed to record significant economic growth during the period. This can be partly explained by the decoupling from western financial systems which these countries undertook following the Asian financial crises of 1997, making many Asian nations more wary of opening their countries to 'hot money' from other countries. Other likely explanations of this trend are that these countries have large domestic economies which are not entirely reliant on the advanced economies, that their export sectors produce goods which are inelastic (meaning they are still bought during recessions), and that the Chinese economic stimulus worth almost 600 billion U.S. dollars in 2008/2009 increased growth in the region.

  6. 2007 Economic Census - All Sectors: Economy-Wide Key Statistics

    • catalog.data.gov
    Updated Jul 25, 2023
    + more versions
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    U.S. Census Bureau (2023). 2007 Economic Census - All Sectors: Economy-Wide Key Statistics [Dataset]. https://catalog.data.gov/dataset/2007-economic-census-all-sectors-economy-wide-key-statistics
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    Dataset updated
    Jul 25, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December 2012, forms were sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies.

  7. Data from: U.S. banks profitability after the 2007/2008 crisis

    • scielo.figshare.com
    • figshare.com
    jpeg
    Updated Jun 3, 2023
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    MARCO BULHÕES CECILIO (2023). U.S. banks profitability after the 2007/2008 crisis [Dataset]. http://doi.org/10.6084/m9.figshare.7102493.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    MARCO BULHÕES CECILIO
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT This paper aims to evaluate the profitability of the major North-american banks after the crisis of 2007-2008, as well as to seek preliminary explanations to the results found. To do so, it assesses the historical data from 1932 until 2015. The results show that the share of total profits in the North-american economy captured by the financial sector has reduced compared to the peak of the last decade but is still at a higher level than the post-war baseline. The evidence points to the decrease of leverage by regulatory pressure as the main cause of the reduction.

  8. Economics Journal Subscription Data

    • kaggle.com
    zip
    Updated May 7, 2023
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    Utkarsh Singh (2023). Economics Journal Subscription Data [Dataset]. https://www.kaggle.com/datasets/utkarshx27/economics-journal-subscription-data
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    zip(6101 bytes)Available download formats
    Dataset updated
    May 7, 2023
    Authors
    Utkarsh Singh
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Description

    Subscriptions to economics journals at US libraries, for the year 2000.

    Usage

    data("Journals")

    Format

    A data frame containing 180 observations on 10 variables.

    title

    Journal title.

    publisher

    factor with publisher name.

    society

    factor. Is the journal published by a scholarly society?

    price

    Library subscription price.

    pages

    Number of pages.

    charpp

    Characters per page.

    citations

    Total number of citations.

    foundingyear

    Year journal was founded.

    subs

    Number of library subscriptions.

    field

    factor with field description.

    Details

    Data on 180 economic journals, collected in particular for analyzing journal pricing. See also https://econ.ucsb.edu/~tedb/Journals/jpricing.html for general information on this topic as well as a more up-to-date version of the data set. This version is taken from Stock and Watson (2007).

    The data as obtained from the online complements for Stock and Watson (2007) contained two journals with title “World Development”. One of these (observation 80) seemed to be an error and was changed to “The World Economy”.

    Source

    Online complements to Stock and Watson (2007).

    References

    Bergstrom, T. (2001). Free Labor for Costly Journals? Journal of Economic Perspectives, 15, 183–198.

    Stock, J.H. and Watson, M.W. (2007). Introduction to Econometrics, 2nd ed. Boston: Addison Wesley.

    Examples

    data and transformed variables

    data("Journals") journals <- Journals[, c("subs", "price")] journals$citeprice <- Journals$price/Journals$citations journals$age <- 2000 - Journals$foundingyear journals$chars <- Journals$charpp*Journals$pages/10^6

    Stock and Watson (2007)

    Figure 8.9 (a) and (b)

    plot(subs ~ citeprice, data = journals, pch = 19) plot(log(subs) ~ log(citeprice), data = journals, pch = 19) fm1 <- lm(log(subs) ~ log(citeprice), data = journals) abline(fm1)

    Table 8.2, use HC1 for comparability with Stata

    fm2 <- lm(subs ~ citeprice + age + chars, data = log(journals)) fm3 <- lm(subs ~ citeprice + I(citeprice^2) + I(citeprice^3) + age + I(age * citeprice) + chars, data = log(journals)) fm4 <- lm(subs ~ citeprice + age + I(age * citeprice) + chars, data = log(journals)) coeftest(fm1, vcov = vcovHC(fm1, type = "HC1")) coeftest(fm2, vcov = vcovHC(fm2, type = "HC1")) coeftest(fm3, vcov = vcovHC(fm3, type = "HC1")) coeftest(fm4, vcov = vcovHC(fm4, type = "HC1")) waldtest(fm3, fm4, vcov = vcovHC(fm3, type = "HC1"))

    changes with respect to age

    library("strucchange")

    Nyblom-Hansen test

    scus <- gefp(subs ~ citeprice, data = log(journals), fit = lm, order.by = ~ age) plot(scus, functional = meanL2BB)

    estimate breakpoint(s)

    journals <- journals[order(journals$age),] bp <- breakpoints(subs ~ citeprice, data = log(journals), h = 20) plot(bp) bp.age <- journals$age[bp$breakpoints]

    visualization

    plot(subs ~ citeprice, data = log(journals), pch = 19, col = (age > log(bp.age)) + 1) abline(coef(bp)[1,], col = 1) abline(coef(bp)[2,], col = 2) legend("bottomleft", legend = c("age > 18", "age < 18"), lty = 1, col = 2:1, bty = "n")

  9. The Great Moderation: inflation and real GDP growth in the U.S. 1985-2007

    • statista.com
    Updated Nov 15, 2022
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    Statista (2022). The Great Moderation: inflation and real GDP growth in the U.S. 1985-2007 [Dataset]. https://www.statista.com/statistics/1345209/great-moderation-us-inflation-real-gdp/
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    Dataset updated
    Nov 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1985 - 2007
    Area covered
    United States
    Description

    During the period beginning roughly in the mid-1980s until the Global Financial Crisis (2007-2008), the U.S. economy experienced a time of relative economic calm, with low inflation and consistent GDP growth. Compared with the turbulent economic era which had preceded it in the 1970s and the early 1980s, the lack of extreme fluctuations in the business cycle led some commentators to suggest that macroeconomic issues such as high inflation, long-term unemployment and financial crises were a thing of the past. Indeed, the President of the American Economic Association, Professor Robert Lucas, famously proclaimed in 2003 that "central problem of depression prevention has been solved, for all practical purposes". Ben Bernanke, the future chairman of the Federal Reserve during the Global Financial Crisis (GFC) and 2022 Nobel Prize in Economics recipient, coined the term 'the Great Moderation' to describe this era of newfound economic confidence. The era came to an abrupt end with the outbreak of the GFC in the Summer of 2007, as the U.S. financial system began to crash due to a downturn in the real estate market.

    Causes of the Great Moderation, and its downfall

    A number of factors have been cited as contributing to the Great Moderation including central bank monetary policies, the shift from manufacturing to services in the economy, improvements in information technology and management practices, as well as reduced energy prices. The period coincided with the term of Fed chairman Alan Greenspan (1987-2006), famous for the 'Greenspan put', a policy which meant that the Fed would proactively address downturns in the stock market using its monetary policy tools. These economic factors came to prominence at the same time as the end of the Cold War (1947-1991), with the U.S. attaining a new level of hegemony in global politics, as its main geopolitical rival, the Soviet Union, no longer existed. During the Great Moderation, the U.S. experienced a recession twice, between July 1990 and March 1991, and again from March 2001 tom November 2001, however, these relatively short recessions did not knock the U.S. off its growth path. The build up of household and corporate debt over the early 2000s eventually led to the Global Financial Crisis, as the bursting of the U.S. housing bubble in 2007 reverberated across the financial system, with a subsequent credit freeze and mass defaults.

  10. c

    Data from: Private Money in our Past, Present, and Future

    • clevelandfed.org
    Updated Jan 1, 2007
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    Federal Reserve Bank of Cleveland (2007). Private Money in our Past, Present, and Future [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2007/ec-20070101-private-money-in-our-past-present-and-future
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    Dataset updated
    Jan 1, 2007
    Dataset authored and provided by
    Federal Reserve Bank of Cleveland
    Description

    The government isn’t the only entity allowed to issue money. Private citizens and businesses can too, and throughout U.S. history, they often have. But private money—as such money is called—isn’t issued much these days. What lessons have our experiences with private money taught us, and what do they imply for our money today and in the future?

  11. d

    AFSC/REFM: Steller sea lion economic survey data, U.S., 2007, Lew

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Jun 1, 2025
    + more versions
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    (Point of Contact, Custodian) (2025). AFSC/REFM: Steller sea lion economic survey data, U.S., 2007, Lew [Dataset]. https://catalog.data.gov/dataset/afsc-refm-steller-sea-lion-economic-survey-data-u-s-2007-lew1
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    Dataset updated
    Jun 1, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Area covered
    United States
    Description

    The project will produce a valuation function that depends on factors related to Steller sea lion (SSL) protection measures, and may include some combination of the expected aggregate size of the population and improvements to the ESA listing status resulting from protection measures, cost of the protection measures, and effects of protection measures on local economies, fishery participants, and consumer fish prices. This function can be used to identify non-consumptive use values for SSLs and how these values are affected by protection measures, thereby providing valuable information to policy makers.

  12. g

    Archival Version

    • datasearch.gesis.org
    Updated Aug 5, 2015
    + more versions
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    Aubuchon, Craig P.; Wheelock, David C. (2015). Archival Version [Dataset]. http://doi.org/10.3886/ICPSR34711
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    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    Aubuchon, Craig P.; Wheelock, David C.
    Description

    The financial crisis and recession that began in 2007 brought a sharp increase in the number of bank failures in the United States. This article investigates characteristics of banks that failed and regional patterns in bank failure rates during 2007-2010. The article compares the recent experience with that of 1987-1992, when the United States last experienced a high number of bank failures.

  13. T

    United States Households Debt To GDP

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). United States Households Debt To GDP [Dataset]. https://tradingeconomics.com/united-states/households-debt-to-gdp
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1947 - Mar 31, 2025
    Area covered
    United States
    Description

    Households Debt in the United States decreased to 68.30 percent of GDP in the first quarter of 2025 from 69.40 percent of GDP in the fourth quarter of 2024. This dataset provides - United States Households Debt To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  14. T

    United States Competitiveness Rank

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Oct 23, 2018
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    TRADING ECONOMICS (2018). United States Competitiveness Rank [Dataset]. https://tradingeconomics.com/united-states/competitiveness-rank
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Oct 23, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2007 - Dec 31, 2019
    Area covered
    United States
    Description

    The United States is the 2 most competitive nation in the world out of 140 countries ranked in the 2019 edition of the Global Competitiveness Report published by the World Economic Forum. This dataset provides the latest reported value for - United States Competitiveness Rank - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  15. US Fuel Economy Data(OLD)

    • kaggle.com
    zip
    Updated Jul 13, 2021
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    Chiru12 (2021). US Fuel Economy Data(OLD) [Dataset]. https://www.kaggle.com/chiru12/us-fuel-economy-dataold
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    zip(794579 bytes)Available download formats
    Dataset updated
    Jul 13, 2021
    Authors
    Chiru12
    Description

    Dataset

    This dataset was created by Chiru12

    Contents

  16. F

    Real gross domestic product per capita

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2025
    + more versions
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    (2025). Real gross domestic product per capita [Dataset]. https://fred.stlouisfed.org/series/A939RX0Q048SBEA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Real gross domestic product per capita (A939RX0Q048SBEA) from Q1 1947 to Q2 2025 about per capita, real, GDP, and USA.

  17. Great Recession: unemployment rate in the G7 countries 2007-2011

    • statista.com
    Updated Nov 23, 2022
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    Statista (2022). Great Recession: unemployment rate in the G7 countries 2007-2011 [Dataset]. https://www.statista.com/statistics/1346779/unemployment-rate-g7-great-recession/
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    Dataset updated
    Nov 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    With the collapse of the U.S. housing market and the subsequent financial crisis on Wall Street in 2007 and 2008, economies across the globe began to enter into deep recessions. What had started out as a crisis centered on the United States quickly became global in nature, as it became apparent that not only had the economies of other advanced countries (grouped together as the G7) become intimately tied to the U.S. financial system, but that many of them had experienced housing and asset price bubbles similar to that in the U.S.. The United Kingdom had experienced a huge inflation of housing prices since the 1990s, while Eurozone members (such as Germany, France and Italy) had financial sectors which had become involved in reckless lending to economies on the periphery of the EU, such as Greece, Ireland and Portugal. Other countries, such as Japan, were hit heavily due their export-led growth models which suffered from the decline in international trade. Unemployment during the Great Recession As business and consumer confidence crashed, credit markets froze, and international trade contracted, the unemployment rate in the most advanced economies shot up. While four to five percent is generally considered to be a healthy unemployment rate, nearing full employment in the economy (when any remaining unemployment is not related to a lack of consumer demand), many of these countries experienced rates at least double that, with unemployment in the United States peaking at almost 10 percent in 2010. In large countries, unemployment rates of this level meant millions or tens of millions of people being out of work, which led to political pressures to stimulate economies and create jobs. By 2012, many of these countries were seeing declining unemployment rates, however, in France and Italy rates of joblessness continued to increase as the Euro crisis took hold. These countries suffered from having a monetary policy which was too tight for their economies (due to the ECB controlling interest rates) and fiscal policy which was constrained by EU debt rules. Left with the option of deregulating their labor markets and pursuing austerity policies, their unemployment rates remained over 10 percent well into the 2010s. Differences in labor markets The differences in unemployment rates at the peak of the crisis (2009-2010) reflect not only the differences in how economies were affected by the downturn, but also the differing labor market institutions and programs in the various countries. Countries with more 'liberalized' labor markets, such as the United States and United Kingdom experienced sharp jumps in their unemployment rate due to the ease at which employers can lay off workers in these countries. When the crisis subsided in these countries, however, their unemployment rates quickly began to drop below those of the other countries, due to their more dynamic labor markets which make it easier to hire workers when the economy is doing well. On the other hand, countries with more 'coordinated' labor market institutions, such as Germany and Japan, experiences lower rates of unemployment during the crisis, as programs such as short-time work, job sharing, and wage restraint agreements were used to keep workers in their jobs. While these countries are less likely to experience spikes in unemployment during crises, the highly regulated nature of their labor markets mean that they are slower to add jobs during periods of economic prosperity.

  18. Data from: Households in the Minskyan Approach: issues and consequences of...

    • scielo.figshare.com
    jpeg
    Updated Jun 2, 2023
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    EVERTON S. T. ROSA (2023). Households in the Minskyan Approach: issues and consequences of the indebtness of American households in the XX and early XXI century [Dataset]. http://doi.org/10.6084/m9.figshare.19964674.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    EVERTON S. T. ROSA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT The aim of this paper is to portray the financial inclusion of households and their implications for the dynamics of the economic system, in view of the importance assumed by the indebtedness of U.S. households in recent decades, especially in the 2007 U.S. crisis. Given the transformations of the U.S. economy and its financial system is proposed the rescue of Keynes's contributions of monetary economics and Minsky's financial vision to understand adequately the behaviour of households, both in the dimension of flows of income and spending, as in decisions on stocks of assets and liabilities subject to volatility and uncertainty.

  19. U

    United States US: GDP: Growth: Gross Value Added: Agriculture

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). United States US: GDP: Growth: Gross Value Added: Agriculture [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-annual-growth-rate/us-gdp-growth-gross-value-added-agriculture
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: Growth: Gross Value Added: Agriculture data was reported at 11.281 % in 2016. This records an increase from the previous number of 8.104 % for 2015. United States US: GDP: Growth: Gross Value Added: Agriculture data is updated yearly, averaging 4.146 % from Dec 1998 (Median) to 2016, with 19 observations. The data reached an all-time high of 19.391 % in 2013 and a record low of -14.900 % in 2007. United States US: GDP: Growth: Gross Value Added: Agriculture data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual growth rate for agricultural value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

  20. T

    United States Initial Jobless Claims

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 20, 2025
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    TRADING ECONOMICS (2025). United States Initial Jobless Claims [Dataset]. https://tradingeconomics.com/united-states/jobless-claims
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Nov 20, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 7, 1967 - Nov 22, 2025
    Area covered
    United States
    Description

    Initial Jobless Claims in the United States decreased to 216 thousand in the week ending November 22 of 2025 from 222 thousand in the previous week. This dataset provides the latest reported value for - United States Initial Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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Statista (2022). Great Recession: global gross domestic product (GDP) growth from 2007 to 2011 [Dataset]. https://www.statista.com/statistics/1347029/great-recession-global-gdp-growth/
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Great Recession: global gross domestic product (GDP) growth from 2007 to 2011

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Dataset updated
Nov 23, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2007 - 2011
Area covered
Worldwide
Description

From the Summer of 2007 until the end of 2009 (at least), the world was gripped by a series of economic crises commonly known as the Global Financial Crisis (2007-2008) and the Great Recession (2008-2009). The financial crisis was triggered by the collapse of the U.S. housing market, which caused panic on Wall Street, the center of global finance in New York. Due to the outsized nature of the U.S. economy compared to other countries and particularly the centrality of U.S. finance for the world economy, the crisis spread quickly to other countries, affecting most regions across the globe. By 2009, global GDP growth was in negative territory, with international credit markets frozen, international trade contracting, and tens of millions of workers being made unemployed.

Global similarities, global differences

Since the 1980s, the world economy had entered a period of integration and globalization. This process particularly accelerated after the collapse of the Soviet Union ended the Cold War (1947-1991). This was the period of the 'Washington Consensus', whereby the U.S. and international institutions such as the World Bank and IMF promoted policies of economic liberalization across the globe. This increasing interdependence and openness to the global economy meant that when the crisis hit in 2007, many countries experienced the same issues. This is particularly evident in the synchronization of the recessions in the most advanced economies of the G7. Nevertheless, the aggregate global GDP number masks the important regional differences which occurred during the recession. While the more advanced economies of North America, Western Europe, and Japan were all hit hard, along with countries who are reliant on them for trade or finance, large emerging economies such as India and China bucked this trend. In particular, China's huge fiscal stimulus in 2008-2009 likely did much to prevent the global economy from sliding further into a depression. In 2009, while the United States' GDP sank to -2.6 percent, China's GDP, as reported by national authorities, was almost 10 percent.

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