6 datasets found
  1. r

    Data from: Human capital and the middle-income trap revisited

    • researchdata.edu.au
    Updated Oct 11, 2022
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    Yarram Subba; Hoang Nam; Chambra Mundachalil; Subba Reddy Yarram; Nam Hoang; Mundachalil Jayadevan Chambra; CM Jayadevan; CM Jayadevan (2022). Human capital and the middle-income trap revisited [Dataset]. https://researchdata.edu.au/human-capital-middle-trap-revisited/3389232
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    Dataset updated
    Oct 11, 2022
    Dataset provided by
    University of New England
    University of New England, Australia
    Authors
    Yarram Subba; Hoang Nam; Chambra Mundachalil; Subba Reddy Yarram; Nam Hoang; Mundachalil Jayadevan Chambra; CM Jayadevan; CM Jayadevan
    Description

    Middle-income trap refers to the economic growth strategies that transition low-income countries into middle-income ones but fail to transition the middle-income countries into high-income countries. We observe the existence of a middle-income trap for upper-middle- and lower middle-income countries. We examine the reasons for the middle-income trap using the Bayesian model averaging (BMA) and generalized method of moments (GMM). We also explore the transformation of middle-income economies into high-income economies using logistic, probit and Limited Information Maximum Likelihood (LIML) regression analyses. Random forest analysis is also used to check the robustness of the findings. BMA analysis shows that education plays an enabling role in high-income countries in determining economic growth, whereas the full poten tial of education is not fully utilized in middle-income countries. GMM estimations show that the education coefficient is positive and significant for high-income and middle-income countries. This implies that education plays a decisive positive role in achieving economic growth and gives a path to escape from the middle-income trap. However, the education coefficient for middle-income countries is approximately half that of high-income countries. Therefore, the findings of this study call for additional investment and focused strategies relating to human capital endowments

  2. A

    Australia Household Income per Capita

    • ceicdata.com
    Updated Dec 15, 2018
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    CEICdata.com (2018). Australia Household Income per Capita [Dataset]. https://www.ceicdata.com/en/indicator/australia/annual-household-income-per-capita
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    Dataset updated
    Dec 15, 2018
    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
    Jun 1, 2000 - Jun 1, 2020
    Area covered
    Australia
    Description

    Key information about Australia Household Income per Capita

    • Australia Annual Household Income per Capita reached 30,914.027 USD in Jun 2020, compared with the previous value of 34,767.371 USD in Jun 2018.
    • Australia Annual Household Income per Capita data is updated yearly, available from Jun 1995 to Jun 2020, with an averaged value of 25,207.153 USD.
    • The data reached an all-time high of 43,819.349 USD in Jun 2012 and a record low of 15,753.318 USD in Jun 2001.
    • In the latest reports, Retail Sales of Australia grew 4.217 % YoY in May 2023.

    CEIC calculates Annual Household Income per Capita from annual Weekly Average Household Income multiplied by 52, annual Number of Household and quarterly Total Population and converts it into USD. The Australian Bureau of Statistics provides Average Household Income in local currency, Number of Household and Total Population. Federal Reserve Board average market exchange rate is used for currency conversions. Household Income per Capita is in annual frequency, ending in June of each year. Household Income per Capita prior to 2008 based on 2017-2018 price.

  3. Median residential house value Australia 2025, by capital city

    • statista.com
    Updated May 19, 2025
    + more versions
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    Statista (2025). Median residential house value Australia 2025, by capital city [Dataset]. https://www.statista.com/statistics/1035927/australia-average-residential-house-value-by-city/
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    Dataset updated
    May 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    Sydney had the highest median house value compared to other capital cities in Australia as of April 2025, with a value of over **** million Australian dollars. Brisbane similarly had relatively high average residential housing values, passing Canberra and Melbourne to top the pricing markets for real estate across the country alongside Sydney. Housing affordability in Australia Throughout 2024, the average price of residential dwellings remained high across Australia, with several capital cities breaking price records. Rising house prices continue to be an issue for potential homeowners, with many low- and middle-income earners priced out of the market. In the fourth quarter of 2024, Australia’s house price-to-income ratio declined slightly to ***** index points. With the share of household income spent on mortgage repayments increasing alongside the disparity in supply and demand, inflating construction costs, and low borrowing capacity, the homeownership dream has become an unattainable prospect for the average person in Australia. Does the rental market offer better prospects? Renting for prolonged periods has become inevitable for many Australians due to the country’s largely inaccessible property ladder. However, record low vacancy rates and elevated median weekly house and unit rent prices within Australia’s rental market are making renting a less appealing prospect. In financial year 2024, households in the Greater Sydney metropolitan area reported spending around ** percent of their household income on rent.

  4. f

    Analysis of use of selected NSAIDs in 15 countries.

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    Updated Feb 12, 2013
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    Henry, David; McGettigan, Patricia (2013). Analysis of use of selected NSAIDs in 15 countries. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001649114
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    Dataset updated
    Feb 12, 2013
    Authors
    Henry, David; McGettigan, Patricia
    Description

    Percentage refers to proportion of total NSAID sales in all countries studied. HMIC (high-/high middle-income countries): Australia, China, China (Hong Kong), Malaysia, New Zealand, Singapore, Taiwan, Thailand, UK/England, Canada; LMIC (low-/low middle-income countries): Bangladesh, Indonesia, Pakistan, Philippines, Vietnam.aDiclofenac, etoricoxib.

  5. A

    Australia AU: Exports: % of Total Goods Exports: Residual

    • ceicdata.com
    Updated May 15, 2020
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    CEICdata.com (2020). Australia AU: Exports: % of Total Goods Exports: Residual [Dataset]. https://www.ceicdata.com/en/australia/exports/au-exports--of-total-goods-exports-residual
    Explore at:
    Dataset updated
    May 15, 2020
    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, 2009 - Dec 1, 2020
    Area covered
    Australia
    Variables measured
    Merchandise Trade
    Description

    Australia Exports: % of Total Goods Exports: Residual data was reported at 0.001 % in 2023. This records a decrease from the previous number of 0.002 % for 2022. Australia Exports: % of Total Goods Exports: Residual data is updated yearly, averaging 0.018 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 0.303 % in 1977 and a record low of 0.000 % in 2017. Australia Exports: % of Total Goods Exports: Residual data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Exports. Merchandise exports by the reporting economy residuals are the total merchandise exports by the reporting economy to the rest of the world as reported in the IMF's Direction of trade database, less the sum of exports by the reporting economy to high-, low-, and middle-income economies according to the World Bank classification of economies. Includes trade with unspecified partners or with economies not covered by World Bank classification. Data are as a percentage of total merchandise exports by the economy.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;

  6. Australia AU: Imports: % of Total Goods Imports: Residual

    • ceicdata.com
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    CEICdata.com, Australia AU: Imports: % of Total Goods Imports: Residual [Dataset]. https://www.ceicdata.com/en/australia/imports/au-imports--of-total-goods-imports-residual
    Explore at:
    Dataset provided by
    CEIC Data
    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, 2009 - Dec 1, 2020
    Area covered
    Australia
    Variables measured
    Merchandise Trade
    Description

    Australia Imports: % of Total Goods Imports: Residual data was reported at 0.000 % in 2023. This records a decrease from the previous number of 0.001 % for 2022. Australia Imports: % of Total Goods Imports: Residual data is updated yearly, averaging 0.002 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 0.306 % in 1963 and a record low of 0.000 % in 1975. Australia Imports: % of Total Goods Imports: Residual data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Imports. Merchandise imports by the reporting economy residuals are the total merchandise imports by the reporting economy from the rest of the world as reported in the IMF's Direction of trade database, less the sum of imports by the reporting economy from high-, low-, and middle-income economies according to the World Bank classification of economies. Includes trade with unspecified partners or with economies not covered by World Bank classification. Data are as a percentage of total merchandise imports by the economy.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Click to copy link
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Close
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Yarram Subba; Hoang Nam; Chambra Mundachalil; Subba Reddy Yarram; Nam Hoang; Mundachalil Jayadevan Chambra; CM Jayadevan; CM Jayadevan (2022). Human capital and the middle-income trap revisited [Dataset]. https://researchdata.edu.au/human-capital-middle-trap-revisited/3389232

Data from: Human capital and the middle-income trap revisited

Related Article
Explore at:
Dataset updated
Oct 11, 2022
Dataset provided by
University of New England
University of New England, Australia
Authors
Yarram Subba; Hoang Nam; Chambra Mundachalil; Subba Reddy Yarram; Nam Hoang; Mundachalil Jayadevan Chambra; CM Jayadevan; CM Jayadevan
Description

Middle-income trap refers to the economic growth strategies that transition low-income countries into middle-income ones but fail to transition the middle-income countries into high-income countries. We observe the existence of a middle-income trap for upper-middle- and lower middle-income countries. We examine the reasons for the middle-income trap using the Bayesian model averaging (BMA) and generalized method of moments (GMM). We also explore the transformation of middle-income economies into high-income economies using logistic, probit and Limited Information Maximum Likelihood (LIML) regression analyses. Random forest analysis is also used to check the robustness of the findings. BMA analysis shows that education plays an enabling role in high-income countries in determining economic growth, whereas the full poten tial of education is not fully utilized in middle-income countries. GMM estimations show that the education coefficient is positive and significant for high-income and middle-income countries. This implies that education plays a decisive positive role in achieving economic growth and gives a path to escape from the middle-income trap. However, the education coefficient for middle-income countries is approximately half that of high-income countries. Therefore, the findings of this study call for additional investment and focused strategies relating to human capital endowments

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