CNBC Economy Articles Dataset is an invaluable collection of data extracted from CNBC’s economy section, offering deep insights into global and U.S. economic trends, market dynamics, financial policies, and industry developments.

This dataset encompasses a diverse array of economic articles on critical topics like GDP growth, inflation rates, employment statistics, central bank policies, and major global events influencing the market. Designed for researchers, analysts, and businesses, it serves as an essential resource for understanding economic patterns, conducting sentiment analysis, and developing financial forecasting models.

Dataset Highlights

Each record in the dataset is meticulously structured and includes:

• Article Titles
• Publication Dates
• Author Names
• Content Summaries
• URLs to Original Articles

This rich combination of fields ensures seamless integration into data science projects, research papers, and market analyses.

Key Features

• Number of Articles: Hundreds of articles sourced directly from CNBC.
• Data Fields: Includes title, publication date, author, article content, summary, URL, and relevant keywords.
• Topics Covered: U.S. and global economy, GDP trends, inflation, employment, financial markets, and monetary policies.
• Format: Delivered in CSV format for easy integration with research tools and analytical platforms.
• Source: Extracted directly from CNBC’s economy news section, ensuring accuracy and relevance.

Use Cases

• Economic Research: Gain insights into U.S. and global economic policies, market trends, and industry developments.
• Sentiment Analysis: Assess the sentiment of economic articles to gauge market perspectives and investor confidence.
• Financial Modeling: Build forecasting models leveraging key economic indicators discussed in the dataset.
• Content Creation: Develop research-backed reports, articles, and presentations on economic topics.

Who Benefits?

• Researchers & Academics studying macro-economics or financial policy.
  
• Data Scientists building AI models, trend analyzers, or economic forecasting tools.
  
• Economists & Analysts need real-world news data for policy analysis.
  
• Content Strategists who write data-backed articles about economic trends.

Why Choose This Dataset?

• No need to manually scrape CNBC — data is pre-extracted and clean.
  
• High-quality economy news metadata enables detailed filtering (by date, author, topic).
  
• Ready for machine learning, sentiment analysis, or building news-based economic models.
  
• Well-suited for trend tracking, policy analysis, and economic forecasting.

Explore More News Datasets

Interested in additional structured news datasets for your research or analytics needs? Check out our news dataset collection to find datasets tailored for diverse analytical applications.

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.

yjernite/ai-economy-labor-articles-annotated-processed dataset hosted on Hugging Face and contributed by the HF Datasets community

The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

List of Top Authors of AEA Papers and Proceedings American Economic Association sorted by articles.

This paper studies the impact of immigration to the United States on the vote share for the Republican Party using county-level data from 1990 to 2016. Our main contribution is to show that an increase in high-skilled immigrants decreases the share of Republican votes, while an inflow of low-skilled immigrants increases it. These effects are mainly due to the indirect impact on existing citizens' votes and this is independent of the origin country and race of immigrants. We find that the political effect of immigration is heterogeneous across counties and depends on their skill level, public spending and non-economic characteristics.

Data and code for peer-reviewed article published in American Economic Journal: Applied Economics. When citing this dataset, please also cite the associated article. A sample Publication Citation is provided below.

Examining the most heavily cited publications in labor economics from the early 1990s, I show that few of over 3,000 articles, citing them directly, replicates them. They are replicated more frequently using data from other time periods and economies, so that the validity of their central ideas has typically been verified. This pattern of scholarship suggests, beyond the currently required depositing of data and code upon publication, that there is little need for formal mechanisms for replication. The market for scholarship already produces replications of non-laboratory applied research.

In 2025, Brazil and Mexico were expected to be the countries with the largest gross domestic product (GDP) in Latin America and the Caribbean. In that year, Brazil's GDP could reach an estimated value of 2.3 trillion U.S. dollars, whereas Mexico's amounted to almost 1.8 trillion U.S. dollars. GDP is the total value of all goods and services produced in a country in a given year. It measures the economic strength of a country and a positive change indicates economic growth.

ABSTRACT Purpose: The growing importance of the services sector is not only a fact in developed countries but is also visible in the South American subcontinent, in terms of Gross Domestic Product share, employment and foreign trade. Taking a closer look at the role of services, the present article analyzes the main linkages in trade in services in the two largest South American economies, namely, Brazil and Argentina. Originality/Value: The recently available South American input-output table provided by United Nations Economic Commission for Latin America and the Caribbean (UN ECLAC). It is a ten-region open model that is used to study two important aspects of trade in services for the two selected economies: first, testing whether the participation of services in total trade increases when the calculation is specified in terms of value added; and second, assessing the role of services in promoting the countries’ exports. Design/methodology/approach: The present research helps to better understand the position of the region as provider and demander of intra-regional services. However, the scarcity of statistics related to trade in services is a limitation that must be solved. The data was obtained from the South American input-output table. A single-regional input-output model was generated for Argentina and Brazil for 2005. Findings: The main findings of the article include that 1. in both economies, the participation of services in foreign trade is higher in terms of value added than under conventional gross trade data, and 2. Argentina is more integrated with the region than Brazil in terms of intra-regional imported services in its exports.

Using a rich dataset on government spending forecasts in Japan, we provide new evidence on the effects of unexpected changes in government spending when the nominal interest rate is near the zero lower bound (ZLB). The on-impact output multiplier is 1.5 in the ZLB period and 0.6 outside of it. We estimate that government spending shocks increase both private consumption and investment during the ZLB period, but crowd them out in the normal period. There is evidence that expected inflation increases more in the ZLB period than in the normal period.

Replication data for peer-reviewed article published] in American Economic Journal: Macroeconomics. Please cite the article in the Publication Citation as well as this reproducibility package when referencing.

United States US: Scientific and Technical Journal Articles data was reported at 408,985.300 Unit in 2016. This records a decrease from the previous number of 429,139.000 Unit for 2015. United States US: Scientific and Technical Journal Articles data is updated yearly, averaging 403,928.200 Unit from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 440,229.700 Unit in 2014 and a record low of 321,765.900 Unit in 2003. United States US: Scientific and Technical Journal Articles data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Technology. Scientific and technical journal articles refer to the number of scientific and engineering articles published in the following fields: physics, biology, chemistry, mathematics, clinical medicine, biomedical research, engineering and technology, and earth and space sciences.; ; National Science Foundation, Science and Engineering Indicators.; Gap-filled total;

Abstract This study assesses whether the trade-off or the pecking order theories explain the increased cash ratios in Latin American firms. It also assesses the explanatory power of additional variables that identify key macroeconomic features in Latin American economies. Due to its noticeable increase, cash became a key feature of Latin American firm performance over the last decades. The need for a better understanding is stressed by the fact that, during most of the last decade, these firms experienced a phase of accelerated economic growth and buoyant financial markets. The resulting surge in real investment opportunities within this period makes the growing cash holdings all the more puzzling. As far as we know, no other research addresses this issue in a direct way. There are robust facts about the increased cash holdings in Latin American firms. This article assesses traditional explanations and defines which fits more properly to the study sample. A complementary explanation regarding exchange rate exposure and key macroeconomic variables is constructed and empirically evaluated. To address potential sources of endogeneity, dynamic panel data methods are used. Particularly, the system generalized method of moments (GMM) was applied, as proposed by Blundell and Bond (1998). This article reports an increasing trend for corporate cash holdings in a sample of selected Latin American firms between 2000 and 2014. Likewise, net leverage and short-term debt show a declining trend over the same period. The trade-off theory may explain this. A substantial effect of macroeconomic variables particularly affecting firms that operate in the region is observed, such as exchange rate risks.

The Foreign Agricultural Trade of the United States (FATUS) data page provides U.S. agricultural exports and imports, volume and value, by country and by commodity.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.

Spain Imports: America: Argentina: Furskin, Artificial Fur and Fur Articles data was reported at 12.373 EUR th in Jan 2025. This records a decrease from the previous number of 19.514 EUR th for Dec 2024. Spain Imports: America: Argentina: Furskin, Artificial Fur and Fur Articles data is updated monthly, averaging 43.247 EUR th from Jan 1999 (Median) to Jan 2025, with 301 observations. The data reached an all-time high of 421.743 EUR th in Dec 2009 and a record low of 0.000 EUR th in May 2022. Spain Imports: America: Argentina: Furskin, Artificial Fur and Fur Articles data remains active status in CEIC and is reported by Tax Agency. The data is categorized under Global Database’s Spain – Table ES.JA032: Imports: by Country and Commodity: by 2 Digit HS Code: America.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

US County level income data from the US Census, 2013.

Economic uncertainty and presidential approval in the [29]’s model.

These files contain the programs and data for the journal article "House Prices and Consumption: A New Instrumental Variables Approach," American Economic Journal: Macroeconomics.

Graph and download economic data for Trade Balance: Goods and Services, Balance of Payments Basis (BOPGSTB) from Jan 1992 to Aug 2025 about BOP, balance, headline figure, trade, goods, services, and USA.

ABSTRACT Food prices play a major role in setting inflation rates, and in recent years’ global climatic conditions has worsened a lot while global demand is increasing due to the growth of the middle class in countries such as China and India. Rising food prices remains a key concern for the government of Saudi Arabia. Saudi Arabia remains vulnerable to increases in food prices due to its high dependence on imports. The Saudi economy is an open-market based economy which is reflected by data of foreign trade with trading partners of the Kingdom. High degree of economic openness of a country causes the domestic inflation rate to be affected by change in the prices of goods in the country of origin. Saudi government is facing the challenge of limiting inflation amid a spike in global food prices. Another major challenge to the effectiveness of the Saudi monetary policy is the lack of autonomy due to the pegged exchange rate system with the US dollar. This paper attempts to study the market dynamics of the kingdom of Saudi Arabia, drivers responsible for inflation and measures that has been taken by the government to deal with the situation.