This panel dataset presents information on the impact of democracy and political stability on economic growth in 15 MENA countries for the period 1983-2022. The data are collected from five different sources; the World Bank Development Indicators (WDI), the World Bank Governance Indicators (WGI), the Penn World Table (PWT), Polity5 from the Integrated Network for Societal Conflict Research (INSCR), and the Varieties of Democracy (V-Dem). The dataset includes ten variables related to economic growth, democracy, and political stability. Data analysis was performed using statistical methods such as R in order to ensure data reliability through imputing missing data; hence, enabling future researchers to explore the impact of political factors on growth in various contexts. The data are presented in two sheets, before and after the imputation for missing values. The potential reuse of this dataset lies in the ability to examine the impact of different political factors on economic growth in the region.

Journal of Political Economy Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Political Economy is a monthly peer-reviewed academic journal published by the University of Chicago Press. Established by James Laurence Laughlin in 1892, it covers both theoretical and empirical economics. In the past, the journal published quarterly from its introduction through 1905, ten issues per volume from 1906 through 1921, and bimonthly from 1922 through 2019. The editor-in-chief is Magne Mogstad (University of Chicago). Abstract & Indexing Articles that appear in the Journal of Political Economy are indexed in the following abstracting and indexing services: Ulrich's Periodicals Directory (Print) Ulrichsweb (Online) J-Gate HINARI Association for Asian Studies Bibliography of Asian Studies (Online) Business Index CABI Abstracts on Hygiene and Communicable Diseases (Online) Agricultural Economics Database CAB Abstracts (Commonwealth Agricultural Bureaux) Dairy Science Abstracts (Online) Environmental Impact Global Health Leisure Tourism Database Nutrition and Food Sciences Database Rural Development Abstracts (Online) Soil Science Database Soils and Fertilizers (Online) Tropical Diseases Bulletin (Online) World Agricultural Economics and Rural Sociology Abstracts (Online) Clarivate Analytics Current Contents Social Sciences Citation Index Web of Science De Gruyter Saur Dietrich's Index Philosophicus IBZ - Internationale Bibliographie der Geistes- und Sozialwissenschaftlichen Zeitschriftenliteratur Internationale Bibliographie der Rezensionen Geistes- und Sozialwissenschaftlicher Literatur EBSCOhost America: History and Life ATLA Religion Database (American Theological Library Association) Biography Index: Past and Present (H.W. Wilson) Book Review Digest Plus (H.W. Wilson) Business Source Alumni Edition (Full Text) Business Source Complete (Full Text) Business Source Corporate (Full Text) Business Source Corporate Plus (Full Text) Business Source Elite (Full Text) Business Source Premier (Full Text) Business Source Ultimate (Full Text) Current Abstracts EBSCO MegaFILE (Full Text) EBSCO Periodicals Collection (Full Text) EconLit with Full Text (Full Text) ERIC (Education Resources Information Center) GeoRef Historical Abstracts (Online) Humanities & Social Sciences Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Source Humanities Source Ultimate Index to Legal Periodicals Retrospective: 1908-1981 (H.W. Wilson) Legal Source Library & Information Science Source MLA International Bibliography (Modern Language Association) OmniFile Full Text Mega (H.W. Wilson) Poetry & Short Story Reference Center Political Science Complete Public Affairs Index Readers' Guide Retrospective: 1890-1982 (H.W. Wilson) Russian Academy of Sciences Bibliographies Social Sciences Abstracts Social Sciences Full Text (H.W. Wilson) Social Sciences Index Retrospective: 1907-1983 (H.W. Wilson) SocINDEX SocINDEX with Full Text TOC Premier Women's Studies International Elsevier BV GEOBASE Scopus ERIC (Education Resources Information Center) ERIC (Education Resources Information Center) Gale Academic ASAP Academic OneFile Advanced Placement Government and Social Studies Book Review Index Plus Business & Company ProFile ASAP Business ASAP Business ASAP International Business Collection Business Insights: Essentials Business Insights: Global Business, Economics and Theory Collection Expanded Academic ASAP General Business File ASAP General OneFile General Reference Center Gold General Reference Centre International InfoTrac Custom InfoTrac Student Edition MLA International Bibliography (Modern Language Association) Popular Magazines US History Collection H.W. Wilson Social Sciences Index National Library of Medicine PubMed OCLC ArticleFirst Periodical Abstracts Sociological Abstracts (Online), Selective Ovid EconLit ERIC (Education Resources Information Center) GeoRef ProQuest ABI/INFORM Collection ABI/INFORM Global (American Business Information) ABI/INFORM Research (American Business Information) Business Premium Collection EconLit ERIC (Education Resources Information Center) GeoRef Health Management Database Health Research Premium Collection Hospital Premium Collection International Bibliography of the Social Sciences, Core MLA International Bibliography (Modern Language Association) PAIS Archive Professional ABI/INFORM Complete Professional ProQuest Central ProQuest 5000 ProQuest 5000 International ProQuest Central ProQuest Pharma Collection Research Library Social Science Database Social Science Premium Collection Sociological Abstracts (Online), Selective Worldwide Political Science Abstracts, Selective SCIMP (Selective Cooperative Index of Management Periodicals) Taylor & Francis Educational Research Abstracts Online Wiley-Blackwell Publishing Asia Asian - Pacific Economic Literature (Online)

Do the choices of city leaders matter for local economic conditions? While existing literature focuses on how the preferences of local officials influence city policy, we argue that the managerial skill of local leaders should condition their ability to achieve their goals. We conduct an original phone survey of over 300 mayors and city managers across the U.S. to learn about their management practices. Using a two-way fixed effects design that holds fixed a rich battery of individual and city-level characteristics, we examine how changes in leadership affect economic growth, a common goal for local officials. We find that when local leaders employ the "best practices" of organizational management, their cities grow across a range of indicators. These results are strongest for the subset of leaders who mention a growth-related goal for their time in office, suggesting that managerial skill allows local leaders to more effectively achieve their objectives.

Country Risk Assessment helps businesses to confidently evaluate global markets by incorporating country evaluation into strategic planning. Analysing trends over time to forecast and proactively plan for potential market shifts.

Country Risk Assessment is an estimate of the average credit risk of a country’s businesses. It is drawn up based on macroeconomic, financial and political data. It offers: - An indication of a country’s potential influence on businesses’ financial commitments. - Insight into the economic and political environment that could impact credit risk.

Dataset Structure and Content: Assessment Coverage: 20 sample companies with country risk evaluations Geographic Diversity: Multiple countries represented via ISO-3166 alpha2 country codes.

Risk Classification System: The dataset employs a standardized A-E rating scale to categorize country risk levels: A1: Very good macroeconomic outlook with stable political context and quality business climate (lowest default probability) A2: Good macroeconomic outlook with generally stable political environment A3: Satisfactory outlook with some potential shortcomings A4: Reasonable default probability with potential economic weaknesses B: Uncertain economic outlook with potential political tensions C: Very uncertain outlook with potential political instability D: Highly uncertain outlook with very unstable political context E: Extremely uncertain outlook with extremely difficult business conditions (highest default probability)

Application Context: This sample demonstrates how country risk assessments can be systematically documented and tracked over time. Each assessment includes comprehensive evaluations of the macroeconomic environment, political stability, and business climate factors that directly influence payment behavior and default probabilities. The dataset structure allows for both current and historical tracking, enabling trend analysis and comparative risk evaluation across different national markets. It serves as a representative example of how comprehensive country risk data can be organized and utilized for strategic business decision-making. Note: This is sample data intended to demonstrate the structure and capabilities of a country risk assessment system.

Learn More For a complete demonstration of our Country Risk Assessment capabilities or to discuss how our system can be integrated with your existing processes, please visit https://business-information.coface.com/economic-insights to request additional information.

The dataset provided contains records related to the impact of various economic and operational factors on businesses in three major cities in the UAE: Dubai, Abu Dhabi, and Sharjah. Each record represents a business's condition during a specific period, capturing attributes related to profitability, operational status, government support, and recovery. Below is an analysis of the dataset: Attributes in the Dataset: 1. Geographic Location: Represents the city where the business operates: Dubai, Abu Dhabi, or Sharjah. This attribute allows for a regional analysis of how economic and operational disruptions vary across different urban areas. 2. Profitability Change: Indicates whether the business experienced a change in profitability: Increase, Decrease, or No Change. Provides insight into the economic performance of businesses under varying conditions. 3. Operational Disruptions: Describes the severity of operational challenges faced by businesses: None, Mild, Moderate, or Severe. Reflects the operational resilience or vulnerability of businesses. 4. Business Closure: Specifies whether the business remained operational or had to shut down: Open or Closed. This critical indicator highlights the impact of disruptions on business continuity. 5. Government Support: Indicates whether the business received any form of support: None, Loan, or Grant. Offers insights into the role of government interventions in aiding businesses during difficult periods. 6. Sector Type: Identifies the industry to which the business belongs, such as Retail, Hospitality, Tourism, Technology, or Manufacturing. Useful for understanding sector-specific challenges and opportunities. 7. Size of Business: Categorizes businesses as Small or Medium. This attribute helps analyze how business size impacts operational resilience and revenue loss. 8. Revenue Loss (%): Quantifies the percentage of revenue lost by the business due to disruptions. Provides a measure of economic impact and vulnerability. 9. Recovery Time (Months): Indicates the estimated number of months required for the business to recover. Reflects the time needed for businesses to return to pre-crisis levels, giving insights into recovery dynamics.

Acknowledgment

Special thanks to the framework provided in the original example from Data.World, which inspired the structured analysis of this dataset. This approach aids in generating actionable insights and a detailed understanding of the underlying trends.

This dataset is about books. It has 1 row and is filtered where the book publisher is Research Unit for the International Study of Economic Liberalisation and Its Social and Political Effects, University of Exeter. It features 7 columns including author, publication date, language, and book publisher.

This STATA DTA file contains an unbalanced panel of maximun 73 countries observed over a maximum of 20 years used for the analysis conducted in the paper "How Family Ties Affect Underground Economy Tax Morale and Trust" by Mauro Marè, Antonello Motroni e Francesco Porcelli.

Techsalerator's News Events Data for Greece: A Comprehensive Overview

Techsalerator's News Events Data for Greece is an essential resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across Greece, drawing from diverse media sources such as news outlets, online publications, and social platforms. It offers valuable insights for those looking to track trends, analyze public sentiment, or monitor industry-specific developments.

Key Data Fields - Event Date: Captures the exact date of the news event, crucial for analysts monitoring trends over time or businesses responding to market shifts. - Event Title: A brief headline describing the event, allowing users to quickly categorize and assess news content based on relevance. - Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and assess the reach and influence of the event. - Location: Provides geographic information on where the event took place within Greece, valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact. Researchers and businesses use this to understand the context and implications of the event.

Top 5 News Categories in Greece - Politics: Major news coverage on government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on Greece’s economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors. - Social Issues: News events covering protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights events in football, basketball, and other popular sports, often drawing widespread attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations in Greece’s growing tech ecosystem, featuring companies like Vodafone Greece and up-and-coming startups.

Top 5 News Sources in Greece - Kathimerini: A major newspaper providing in-depth coverage of politics, economy, and social issues. - Ta Nea: A prominent source for news related to politics, business, and cultural events across Greece. - Mega Channel: A leading TV network offering real-time updates on current affairs, sports, and entertainment. - Protagon: A well-regarded online news platform known for its investigative journalism and analysis of political and social issues. - Ethnos: A key newspaper providing extensive coverage of national politics, economy, and public affairs.

Accessing Techsalerator’s News Events Data for Greece To access Techsalerator’s News Events Data for Greece, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is an invaluable tool for tracking significant events in Greece. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, offering a clear picture of the country’s news landscape.

Government spending in the United States was last recorded at 39.7 percent of GDP in 2024 . This dataset provides - United States Government Spending To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

# Global Economy and Environmental Indicators (Clean Data, Interpole Data, and Log-Transformed Data)

Context

This dataset provides insights into globalization index (economic, social, and political), environmental quality, and economic indicators, log-transformed for analytical purposes. It covers a wide range of metrics such as carbon emissions, GDP, urbanization, and energy consumption, population. Researchers can utilize this dataset to analyze the relationship between economic development and environmental sustainability.

Sources and Inspiration

Primary Source: World Development Indicators (World Bank).

Inspiration: Understanding the IMPACT OF DIFFERENT DIMENSIONS OF GLOBALIZATION ON ENVIRONMENTAL QUALITY. This dataset simplifies complex patterns by providing log-transformed data, making it ideal for statistical applications.

Files Included:

The main dataset containing log-transformed variables. Size: 3,696 rows, 14 columns.

Column Descriptions (Global_132)

1. Country: Name of the country.
2. CountryCode: Numeric code representing the country.
3. Year: Year of the observation.
4. lnCO2: Log-transformed carbon dioxide emissions per capita (metric tons).
5. lnGI: Log-transformed governance index.
6. lnEcGI, lnSoGI, lnPoGI: Economic, social, and political governance indices, respectively.
7. lnGDP_pc: Log-transformed GDP per capita (constant 2015 USD).
8. lnGDP_pc2: Squared log-transformed GDP per capita.
9. lnEC: Log-transformed energy consumption per capita (kg oil equivalent).
10. lnPOP: Log-transformed population size.
11. lnURB: Log-transformed urbanization rate (percentage).
12. lnREC: Log-transformed renewable energy consumption.

Usage

Regression modeling. Time-series analysis. Exploratory data analysis on global environmental and economic patterns.

This dataset comprises data on all articles in the new field of historical political economy (HPE) published in from 2010 to 2021 in eight top journals in political science: the American Journal of Political Science, the American Political Science Review, the British Journal of Political Science, Comparative Political Studies, Comparative Politics, the Journal of Politics, the Quarterly Journal of Political Science, and World Politics. We define political economy as work that either uses formal theory or empirically tests falsifiable arguments using quantitative methods. We classify work that uses the tools of political economy as HPE if it substantially or exclusively examines politics prior to 1945: the end of the Second World War, the onset of the Cold War, the moment when the Bretton Woods system came into effect, and the start of decolonization in Africa and Asia. We make an exception for China, where important institutional changes occurred after the founding of the People’s Republic in 1949 and the Cultural Revolution from 1966 to 1976. The dataset includes full citation, time period, region and country of study, topic, and keywords. We also code each article as one of three types: work that seeks to understand the past for its own sake, work that uses history as a way to understand the present, and work that uses history as a setting to investigate important theoretical issues.

Political scientists have long sought to understand power dynamics across the Global South, but efforts to systematically capture political power have been limited, and existing datasets have faced conceptual and measurement challenges. The Political Settlements dataset was developed to address these issues. This original expert survey-based dataset includes over 100 political economy variables coded for 42 countries from 1946 or independence to 2018 (totalling 2,718 country years). It allows for a detailed mapping of countries' power configurations, capturing information on the relative size, power and social composition of competing political blocs in society, as well as their internal cohesion, accountability relations and distribution of benefits. The dataset is expected to enable more direct and rigorous analyses of power differentials in the Global South and their impact on political and economic developments. This letter describes how the dataset was constructed, discusses its validity, and highlights some of its key features.

This report uses recent economic modelling to relate cognitive skills – as measured by PISA and other international instruments – to economic growth, demonstrating that relatively small improvements to labour force skills can largely impact the future well-being of a nation. The report also shows that it is the quality of learning outcomes, not the length of schooling, which makes the difference. A modest goal of all OECD countries boosting their average PISA scores by 25 points over the next 20 years would increase OECD gross domestic product by USD 115 trillion over the lifetime of the generation born in 2010. More aggressive goals could result in gains in the order of USD 260 trillion.

Techsalerator's News Events Data for Maldives: A Comprehensive Overview

Techsalerator's News Events Data for Maldives offers a powerful resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across the Maldives, pulling from a wide range of media sources, including news outlets, online publications, and social platforms. It provides valuable insights for those looking to track trends, analyze public sentiment, or monitor industry-specific developments.

Key Data Fields - Event Date: Captures the exact date of the news event. This is crucial for analysts who need to monitor trends over time or for businesses responding to market shifts. - Event Title: A brief headline describing the event. This allows users to quickly categorize and assess news content based on relevance to their interests. - Source: Identifies the news outlet or platform where the event was reported. This helps users track credible sources and assess the reach and influence of the event. - Location: Provides geographic information, indicating where the event took place within the Maldives. This is especially valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact. Researchers and businesses use this to understand the context and implications of the event.

Top 5 News Categories in Maldives - Politics: Major news coverage on government decisions, political movements, elections, and policy changes that affect the national landscape. - Economy: Focuses on Maldives’ economic indicators, tourism trends, international trade, and corporate activities influencing business and finance sectors. - Social Issues: News events covering public health, education, and other societal concerns that drive public discourse. - Sports: Highlights events in local and international sports, often drawing widespread attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations in Maldives’ growing tech ecosystem, featuring emerging companies and advancements.

Top 5 News Sources in Maldives - Haveeru Online: A prominent news outlet providing comprehensive coverage of national politics, economy, and social issues. - Miadhu Daily: A major online news platform known for its timely updates on breaking news, politics, and current affairs. - Sun Online: A widely-read news source offering insights into local politics, economic developments, and societal trends. - Maldives Independent: A significant news source covering a broad spectrum of topics, including politics, economy, and social issues. - The Edition: The national news agency delivering updates on significant events, public health, and sports across the Maldives.

Accessing Techsalerator’s News Events Data for Maldives To access Techsalerator’s News Events Data for Maldives, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is an invaluable tool for keeping track of significant events in the Maldives. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, providing a clear picture of the country’s news landscape.

We present a new dataset with 15 indicators for the political, economic and social impact of colonialism. This dataset and our four indices for the impact of colonialism create for the first time the opportunity to compare directly the levels of colonial transformation for a sample of 83 African and Asian countries. Some of our exploratory findings on the interrelation of the dimensions show that in British colonies political domination was in general less direct and less violent. Plantation colonies experienced more investment in infrastructure and more violence during decolonization. The correlations between indicators for economic distortion (trade policy, trade and FDI concentration) show that the economic re-direction of some colonies towards a more exclusive exchange with the metropole country was an interdependent process. In general, a more intense political domination came along with a higher level of economic transformation. If an area was transformed economically, however, a social transformation was likely to take place too, but these processes should not be confounded. In areas that were politically united for the first time under colonialism, economic distortion and social transformation were more profound.

The economic landscape of the United Kingdom has been significantly shaped by the intertwined issues of Brexit, COVID-19, and their interconnected impacts. Despite the country’s robust and diverse economy, the disruptions caused by Brexit and the COVID-19 pandemic have created uncertainty and upheaval for both businesses and individuals. Recognizing the magnitude of these challenges, academic literature has directed its attention toward conducting immediate research in this crucial area. This study sets out to investigate key economic factors that have influenced various sectors of the UK economy and have broader economic implications within the context of Brexit and COVID-19. The factors under scrutiny include the unemployment rate, GDP index, earnings, and trade. To accomplish this, a range of data analysis tools and techniques were employed, including the Box-Jenkins method, neural network modeling, Google Trend analysis, and Twitter-sentiment analysis. The analysis encompassed different periods: pre-Brexit (2011-2016), Brexit (2016-2020), the COVID-19 period, and post-Brexit (2020-2021). The findings of the analysis offer intriguing insights spanning the past decade. For instance, the unemployment rate displayed a downward trend until 2020 but experienced a spike in 2021, persisting for a six-month period. Meanwhile, total earnings per week exhibited a gradual increase over time, and the GDP index demonstrated an upward trajectory until 2020 but declined during the COVID-19 period. Notably, trade experienced the most significant decline following both Brexit and the COVID-19 pandemic. Furthermore, the impact of these events exhibited variations across the UK’s four regions and twelve industries. Wales and Northern Ireland emerged as the regions most affected by Brexit and COVID-19, with industries such as accommodation, construction, and wholesale trade particularly impacted in terms of earnings and employment levels. Conversely, industries such as finance, science, and health demonstrated an increased contribution to the UK’s total GDP in the post-Brexit period, indicating some positive outcomes. It is worth highlighting that the impact of these economic factors was more pronounced on men than on women. Among all the variables analyzed, trade suffered the most severe consequences in the UK. By early 2021, the macroeconomic situation in the country was characterized by a simple dynamic: economic demand rebounded at a faster pace than supply, leading to shortages, bottlenecks, and inflation. The findings of this research carry significant value for the UK government and businesses, empowering them to adapt and innovate based on forecasts to navigate the challenges posed by Brexit and COVID-19. By doing so, they can promote long-term economic growth and effectively address the disruptions caused by these interrelated issues.

It is argued that ethnic competition, triggers for ethnic mobilization, and political institutions together affect changes in government-imposed political and economic restrictions on ethnic groups worldwide. Due to the fact that the only existing comparative data set on ethnic discrimination, produced by the Minorities at Risk project, uses discrimination as a criterion for including ethnic groups, a new data set of 620 additional groups has been created to predict the selection process through a full-information, maximum-likelihood Heckman probit model, but selection bias is found not to affect the results. Discrimination is modeled as a dynamic Markov process, and central and regional government institutions, economic conditions, and minority group characteristics are found to influence the initiation and continuation of discriminatory policies.

The Great Recession undoubtedly reduced the electoral prospects of incumbent parties, coherently with the expectations of the economic vote theory. Yet, the exceptionality of the period may have displaced other elements of that theory, such as, for instance, the moderating impact that globalization is supposed to have on the retrospective mechanism. By using an original dataset comparing 168 elections in 38 democratic countries in the period 2000–2015, we detail how the crisis modified and even reversed that conditional effect. Furthermore, we differentiate our results by separating the impact of economic openness from that of political globalization. In so doing, we improve our understanding of the mechanisms that trigger the conditional effect on the economic vote in normal and exceptional times.

505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

Key features:

• Granular: Data is provided at the following geographical units:
  • NUTS3 (e.g. German Districts/Kreise),
  • NUTS2 (e.g. Regions/Regierungsbezirke),
  • NUTS1 (e.g. States/Länder), and
  • NUTS0 (e.g. Germany) levels.
• Frequent: Data is provided every month from January 2015. This is more frequent than the annualised official datasets.
• Timely: Data is provided with a one month lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 18 month lag of official datasets.
• Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

The dataset can be used by:

• Governments and policy makers - to monitor the performance of local economies, to measure the localised impact of policies, and to get a real-time indication of economic activity.
• Financial services - to get an indication of national-level GDP before official GDP statistics are released
• Engineering companies - to monitor and evaluate the localised impact of infrastructure projects
• Consultancies - to forecast the localised impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
• Economics firms - to create macro forecasts at the national and sub-national level, to assess the impact of policy interventions.
• Academia / Think Tanks - to conduct novel research at the local level. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

We have created this dataset for all UK sub-national regions, 28 EU Countries and Switzerland.

505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

Key features: - Frequent: Data is provided every month from January 2015. This is more frequent than quarterly official datasets. - Timely: Data is provided with a three week lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 3-6 month lag of official datasets. - Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

The dataset can be used by:

• Financial services - to get an indication of national-level GDP before official GDP statistics are released
• Governments and policy makers - to monitor the performance of economies, to measure the impact of policies, and to get a real-time indication of economic activity.
• Engineering companies - to monitor and evaluate the national impact of infrastructure projects
• Consultancies - to forecast the national impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
• Economics firms - to create macro forecasts at the national, to assess the impact of policy interventions.
• Academia / Think Tanks - to conduct novel research with more-frequent GDP data than is available from official sources. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

We have created this dataset for the UK, Switzerland and 28 EU Countries.