This scatter chart displays GDP (current US$) against alternative and nuclear energy (% of total energy use) in Oceania. The data is about countries.

United Kingdom UK: GDP: USD data was reported at 2,622.434 USD bn in 2017. This records a decrease from the previous number of 2,650.850 USD bn for 2016. United Kingdom UK: GDP: USD data is updated yearly, averaging 918.504 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3,074.360 USD bn in 2007 and a record low of 72.328 USD bn in 1960. United Kingdom UK: GDP: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Gross Domestic Product: Nominal. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;

Greece GR: GDP: USD data was reported at 200.288 USD bn in 2017. This records an increase from the previous number of 192.691 USD bn for 2016. Greece GR: GDP: USD data is updated yearly, averaging 77.715 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 354.461 USD bn in 2008 and a record low of 4.447 USD bn in 1960. Greece GR: GDP: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greece – Table GR.World Bank.WDI: Gross Domestic Product: Nominal. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;

Laos LA: GDP: USD data was reported at 16.853 USD bn in 2017. This records an increase from the previous number of 15.806 USD bn for 2016. Laos LA: GDP: USD data is updated yearly, averaging 1.825 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 16.853 USD bn in 2017 and a record low of 598.961 USD mn in 1988. Laos LA: GDP: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank: Gross Domestic Product: Nominal. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;

This dataset is about countries in Europe. It has 44 rows. It features 3 columns: GDP, and alternative and nuclear energy.

Context

This dataset contains annual GDP growth for each country.

Content

This dataset contains data about 264 countries. There is some missing data for several countries. Format of data: .csv

Column names and description: - "Country Name" - name of country - "Country Code" - code of country (3 letters) - "Indicator Name" - all fields filled with 'GDP (current US$)' - "Indicator Code" - all fields contains 'NY.GDP.MKTP.CD' value - Colums for each year (1960 - 2020)

Acknowledgements

GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

World Bank national accounts data, and OECD National Accounts data files. Source of data: https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG

Alternative data sets are widely used for macroeconomic nowcasting together with machine learning–based tools. The latter are often applied without a complete picture of their theoretical nowcasting properties. Against this background, this paper proposes a theoretically grounded nowcasting methodology that allows researchers to incorporate alternative Google Search Data (GSD) among the predictors and that combines targeted preselection, Ridge regularization, and Generalized Cross Validation. Breaking with most existing literature, which focuses on asymptotic in-sample theoretical properties, we establish the theoretical out-of-sample properties of our methodology and support them by Monte-Carlo simulations. We apply our methodology to GSD to nowcast GDP growth rate of several countries during various economic periods. Our empirical findings support the idea that GSD tend to increase nowcasting accuracy, even after controlling for official variables, but that the gain differs between periods of recessions and of macroeconomic stability.

In 2024, the gross domestic product of the Republic of Ireland was approximately ***** billion euros, compared with ******billion euros in 2023. Due to the impact that a high number of multinational corporations have on Irish GDP, a modified indicator based on GNI (Gross National Income) gives an alternative measurement of the Irish economy. Based on modified GNI, the size of Ireland's economy was just over ****billion euros in 2024, compared with ******billion euros in 2023.

'Estimates of the key components of GDP from the output, expenditure and income approaches.' Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: GDP

'Estimates of the key components of GDP from the output, expenditure and income approaches.' Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: GDP

The impact of alternative input values for input parameters on GDP.

This dataset is about countries per year in Niger. It has 64 rows. It features 4 columns: country, GDP, and alternative and nuclear energy.

GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

Chad TD: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 670.000 USD in 2023. This records an increase from the previous number of 660.000 USD for 2022. Chad TD: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 220.000 USD from Dec 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 940.000 USD in 2014 and a record low of 110.000 USD in 1964. Chad TD: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

Research Hypothesis

The central hypothesis of this study is that economic growth, as represented by Romania's Gross Domestic Product (GDP), significantly impacts income inequality, measured using the GINI index. Specifically:

Null Hypothesis (H₀): There is no statistically significant relationship between GDP and the GINI index in Romania from 2006 to 2021. This implies that changes in GDP do not influence income inequality.
Alternative Hypothesis (H₁): There is a statistically significant negative relationship between GDP and the GINI index in Romania from 2006 to 2021. This suggests that as GDP increases, income inequality decreases.

Data Description and Collection

The study relies on secondary data sourced from the World Bank Open Database. Two primary variables were used:

Gross Domestic Product (GDP):
  Representing Romania's economic output, GDP was measured in constant USD to account for inflation. It reflects the total value of goods and services produced within the country each year.
  This variable serves as the independent variable, influencing income inequality.

GINI Index:
  The GINI index quantifies income inequality on a scale of 0 to 100, where 0 represents perfect equality and 100 represents maximum inequality.
  This variable acts as the dependent variable, influenced by changes in GDP.

The dataset spans 2006 to 2021, providing a comprehensive view of Romania’s economic and social landscape during its post-European Union (EU) accession period. Methodology Linear Regression Analysis

To test the relationship between GDP and the GINI index, a simple linear regression model was constructed.

Diagnostic Checks

Several diagnostic tests were conducted to validate the regression model:

Residual Analysis: Checked for normality using the Shapiro-Wilk test.
Homoscedasticity: Assessed using the Breusch-Pagan test to verify constant variance in residuals.
Autocorrelation: Evaluated using the Durbin-Watson test to detect correlations in residuals over time.

Findings Model Results

Correlation Coefficient (R): 0.739

  F-Statistic: 16.850 (p = 0.001)
  Indicates that the overall model is statistically significant at a 1% level, reinforcing the relationship between GDP and the GINI index.

GDP Coefficient (Unstandardized): -2.472E-11

P-Value for GDP Coefficient: 0.001
  Demonstrates that the relationship between GDP and the GINI index is statistically significant.

Diagnostic Test Results

Homoscedasticity: The Breusch-Pagan test identified evidence of heteroscedasticity (p = 0.033), indicating non-constant variance in residuals.
Autocorrelation: The Durbin-Watson statistic (1.126) revealed some positive autocorrelation in residuals, suggesting temporal patterns in unexplained factors.

NY.GDP.MKTP.CD. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used. The Gender Statistics database is a comprehensive source for the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.

Comparison of developments in GDP and the labour market in the latest quarter. Source agency: Office for National Statistics Designation: Supporting material Language: English Alternative title: GDP and Labour Market coherence

The financial indicators are based on data compiled according to the 2008 SNA "System of National Accounts, 2008". Many indicators are expressed as a percentage of Gross Domestic Product (GDP) or as a percentage of Gross Disposable Income (GDI) when referring to the Households and NPISHs sector. The definition of GDP and GDI are the following:

Gross Domestic Product:
Gross Domestic Product (GDP) is derived from the concept of value added. Gross value added is the difference of output and intermediate consumption. GDP is the sum of gross value added of all resident producer units plus that part (possibly the total) of taxes on products, less subsidies on products, that is not included in the valuation of output [System of National Accounts, 2008, par. 2.138]. GDP is also equal to the sum of final uses of goods and services (all uses except intermediate consumption) measured at purchasers’ prices, less the value of imports of goods and services [System of National Accounts, 2008, par. 2.139]. GDP is also equal to the sum of primary incomes distributed by producer units [System of National Accounts, 2008, par. 2.140].

Gross Disposable Income:
Gross Disposable Income (GDI) is equal to net disposable income which is the balancing item of the secondary distribution income account plus the consumption of fixed capital. The use of the Gross Disposable Income (GDI), rather than net disposable income, is preferable for analytical purposes because there are uncertainty and comparability problems with the calculation of consumption of fixed capital. GDI measures the income available to the total economy for final consumption and gross saving [System of National Accounts, 2008, par. 2.145].

Definition of Debt:
Debt is a commonly used concept, defined as a specific subset of liabilities identified according to the types of financial instruments included or excluded. Generally, debt is defined as all liabilities that require payment or payments of interest or principal by the debtor to the creditor at a date or dates in the future. Consequently, all debt instruments are liabilities, but some liabilities such as shares, equity and financial derivatives are not debt [System of National Accounts, 2008, par. 22.104]. According to the SNA, most debt instruments are valued at market prices. However, some countries do not apply this valuation, in particular for securities other than shares, except financial derivatives (AF33). In this dataset, for financial indicators referring to debt, the concept of debt is the one adopted by the SNA 2008 as well as by the International Monetary Fund in “Public Sector Debt Statistics – Guide for compilers and users” (Pre-publication draft, May 2011). Debt is thus obtained as the sum of the following liability categories, whenever available / applicable in the financial balance sheet of the institutional sector:special drawing rights (AF12), currency and deposits (AF2), debt securities (AF3), loans (AF4), insurance, pension, and standardised guarantees (AF6), and other accounts payable (AF8). This definition differs from the definition of debt applied under the Maastricht Treaty for European countries. First, gross debt according to the Maastricht definition excludes not only financial derivatives and employee stock options (AF7) and equity and investment fund shares (AF5) but also insurance pensions and standardised guarantees (AF6) and other accounts payable (AF8). Second, debt according to Maastricht definition is valued at nominal prices and not at market prices.

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