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.

The 12 aspects of economic freedom measured in the Index are grouped into four broad pillars:

Rule of law (property rights, judicial effectiveness, and government integrity);

Government size (tax burden, government spending, and fiscal health);

Regulatory efficiency (business freedom, labor freedom, and monetary freedom); and

Market openness (trade freedom, investment freedom, and financial freedom).

Rule of Law

Property Rights. In a fully functioning market economy, the ability to accumulate private property and wealth is a central motivating force for both workers and investors. Private property rights and an effective rule of law to protect them are vital features of any such economy. Secure property rights give citizens the confidence to undertake entrepreneurial activity, save their income, and make long-term plans because they know that their income, savings, and property (both real and intellectual) are safe from unfair expropriation or theft.

Property rights are a primary factor in the accumulation of capital for production and investment. Secure titling is key to unlocking the wealth embodied in real estate, making natural resources available for economic use, and providing collateral for investment financing. It is also by extending and protecting property rights that societies avoid the “tragedy of the commons”—the phenomenon that leads to the degradation and exploitation of property that is held communally and for which no one is accountable.

A key aspect of the protection of property rights is the enforcement of contracts. The voluntary undertaking of contractual obligations is the foundation of the market system and the basis for economic specialization, gains from commercial exchange, and trade among nations. Evenhanded government enforcement of private contracts is crucial to ensuring equity and integrity in the marketplace.

Judicial Effectiveness. Effective legal frameworks protect the rights of all citizens against infringement of the law by others, including infringement by governments and powerful parties. Judicial effectiveness requires efficient and fair judicial systems to ensure that laws are fully respected and appropriate legal actions are taken against violations.

Especially for developing countries, judicial effectiveness may be the area of economic freedom that is most important in laying the foundations**************************************** for economic growth. In advanced economies, deviations from judicial effectiveness may be the first signs of serious problems that will lead to economic decline.

There is abundant evidence from countries around the world that an honest, fair, and effective judicial system is a critical factor in empowering individuals, ending discrimination, and enhancing competition. In the never-ending struggle to improve the human condition and achieve greater prosperity, an institutional commitment to the preservation and advancement of judicial effectiveness is indispensable.

Government Integrity. In a world characterized by social and cultural diversity, practices that are regarded as corrupt in one place may simply reflect traditional interactions in another. For example, small informal payments to service providers or even government officials may be regarded as a normal means of compensation, a “tip” for unusually good service, or a corrupt form of extortion.

While such practices may indeed constrain an individual’s economic freedom, their impact on the economic system as a whole is likely to be modest. Of far greater concern is the systemic corruption of government institutions by such practices as bribery, nepotism, cronyism, patronage, embezzlement, and graft. Though not all of these practices are crimes in every society or circumstance, they all erode the integrity of government wherever they are found. By allowing some individuals or special interests to gain government benefits at the expense of others, they are grossly incompatible with the principles of fair and equal treatment that are necessary for an economically free society.

There is a direct relationship between the extent of government intervention in economic activity and the prevalence of corruption. In particular, excessive and redundant government regulations provide opportunities for bribery and graft, which in turn are detrimental to economic growth and development. In addition, government regulations or restrictions in one area may create informal or black markets in another. For example, by imposing such burdensome barriers to the conduct of business as including regulatory red tape and high transaction costs, a government can incentivize bribery and encourage illegitimate and secret interactions that compromise the transparency that is essential to the efficient functioning of a free market.

Government Size

Tax Burden. All govern...

International Panel Data Analysis of the Effect of Digitalization on Economic Growth

Description

The effect of digitalization on economic growth is examined with reference to a cobb-Douglas production function. So, the dependent variable is the economic growth measured by the Gross Domestic Product per capita measured at 2015 constant US dollars. To reproduce the digitalization, we consider four indicators which are : 1. Number of fixe subscriptions (per 100 people) 2. Number of mobile cellular subscriptions (per 100 people) 3. Number of broadband subscriptions (per 100 people) 4. Number of individuals using the internet (%of population) 5. Digitalization level as obtained by applying a PCA Moreover, we include several macro-economic variables as control variables which affect the relationship between Digitalization and economic growth: 6. Investment measured by gross fixed capital formation (as percentage of GDP). 7. Trade openness which is a country’s trade volume used as a proxy for the degree of openness of a country’s economy (as percentage of GDP) and which is measured as the sum of imports and exports. 8. Labor force which is the total of labor force participation rate. 9. Inflation is measured by the consumer price index (%). 10. Population 11. Consumption is the government consumption expenditure for goods and services (as a percentage of GDP).

Categories

Finance, Economic Growth, Information and Communication Technologies, Emerging Country, Developing Countries

Acknowledgements & Source

Abderrazek ELKHALDI,Nadia Sghaier,Monia Chikhaoui

Data Source: https://data.mendeley.com/datasets/ctm7vvpp7n/1

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.

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)

# 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.

This dataset contains simulated data for social media users' demographics, behaviors, and perceptions related to political content. It includes features such as age, gender, education level, occupation, social media usage frequency, exposure to political content, and perceptions of accuracy and relevance.

the features included in the "Social Media Political Content Analysis Dataset":

1. Age: Age of the user.
2. Gender: Gender identity of the user.
3. Education Level: Highest level of education attained by the user.
4. Occupation: Current occupation of the user.
5. Political Affiliation: Political leaning or affiliation of the user (e.g., Liberal, Conservative, Independent).
6. Geographic Location: Country or region where the user is located (e.g., USA, UK, Canada, Australia).
7. Social Media Usage Frequency: Frequency of social media usage by the user (e.g., 0-1 hour, 1-2 hours, 2-4 hours, 4+ hours).
8. Preferred Social Media: Social media platform preferred by the user (e.g., Facebook, Twitter, Instagram).
9. Political Content Exposure: Frequency of exposure to political content on social media (e.g., Once a day, Few times a week, Rarely, Several times a day).
10. Types of Political Content: Types of political content consumed by the user (e.g., News articles, Opinion pieces, Memes).
11. Sources of Political Content: Sources from which the user obtains political content (e.g., Mainstream media, Political parties, Independent bloggers).
12. Recency of Exposure: Recency of the user's exposure to political content (e.g., Within the last hour, Within the last 24 hours, Within the last week, Longer than a week ago).
13. Interactions Frequency: Frequency of user interactions with political content on social media (e.g., Once a day, Few times a week, Rarely, Several times a day).
14. Political Content Topics: Topics of political content that interest the user (e.g., Economy, Healthcare, Immigration, Environment).
15. Perception of Accuracy: User's perception of the accuracy of political content on social media (e.g., Very accurate, Somewhat accurate, Not accurate).
16. Awareness of Algorithms: Whether the user is aware of algorithms that determine their social media feed (e.g., Yes, No).
17. Perception of Relevance: User's perception of the relevance of political content on social media (e.g., Very relevant, Somewhat relevant, Not relevant).
18. Personal Impact: User's perception of the personal impact of political content on social media (e.g., Strong impact, Moderate impact, No impact).
19. Trust in Social Media: User's level of trust in social media as a source of political information (e.g., Trust a lot, Trust somewhat, Do not trust).
20. Concerns about Algorithms: User's level of concern about algorithms shaping their social media experience (e.g., Very concerned, Somewhat concerned, Not concerned).
21. Overall Quality of Discourse: User's perception of the overall quality of political discourse on social media (e.g., High quality, Moderate quality, Low quality).
22. Views on Influence: User's perception of the influence of political content on social media (e.g., Very influential, Somewhat influential, Not influential).
23. Suggestions for Improvement: User's suggestions for improving the quality or experience of political content on social media (e.g., Increase transparency, Provide more diverse sources, Improve fact-checking, Enhance user controls).

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

Techsalerator's News Events Data for Singapore offers a powerful resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across Singapore, 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 Singapore. 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 Singapore - Politics: Major news coverage on government decisions, political movements, elections, and policy changes that affect the national landscape. - Economy: Focuses on Singapore’s economic indicators, inflation rates, 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 popular sports such as soccer, swimming, and table tennis, often drawing widespread attention and engagement. - Technology and Innovation: Reports on tech developments, startups, and innovations in Singapore’s thriving tech ecosystem, featuring emerging companies and advancements.

Top 5 News Sources in Singapore - The Straits Times: A leading news outlet providing comprehensive coverage of national politics, economy, and social issues. - Channel News Asia: A major news platform known for its timely updates on breaking news, politics, and current affairs. - The Business Times: A widely-read newspaper offering insights into economic developments, business news, and corporate activities. - TODAY: A significant news source covering a broad spectrum of topics, including politics, economy, and social issues. - Channel 8 News: The national news channel delivering updates on significant events, public health, and sports across Singapore.

Accessing Techsalerator’s News Events Data for Singapore To access Techsalerator’s News Events Data for Singapore, 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 Singapore. 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.

This dataset aims to provide insights into the economic significance of the fisheries and aquaculture sector within the marine economy. By examining the GDP weightage of fisheries and aquaculture activities, policymakers, economists, and researchers can gain a deeper understanding of their contributions to the overall economy.

The dataset consists of various variables related to fisheries and aquaculture, including production data, economic indicators, and other relevant metrics. The data can be analyzed to assess the sector's economic performance, growth trends, and its impact on the broader marine economy.

Key Features of the Dataset:

Fisheries and Aquaculture Data: The dataset includes information on fishery catches, aquaculture production, and other relevant data related to the industry's output. Economic Indicators: The dataset contains economic indicators such as Gross Domestic Product (GDP) contributions, employment figures, export values, and investment statistics, allowing for a comprehensive analysis of the sector's economic impact. Time-Series Data: The dataset covers a span of several years, enabling researchers to analyze the dynamics, trends, and fluctuations in the fisheries and aquaculture sector over time. Geographic Coverage: The dataset encompasses a specific geographical region or country, providing a localized view of the fisheries and aquaculture industry's economic significance within that context. Potential Applications and Benefits of the Dataset:

Policy Development: Policymakers can leverage this dataset to formulate evidence-based policies and strategies that promote sustainable growth, employment generation, and value addition in the fisheries and aquaculture sector. Economic Analysis: Economists and researchers can use this dataset to study the sector's performance, its contributions to the GDP, trade patterns, and its linkage to other sectors within the marine economy. Investment Opportunities: Investors and industry stakeholders can explore the dataset to identify emerging opportunities, evaluate market trends, and make informed decisions regarding investment in fisheries and aquaculture ventures. Sustainability Assessment: The dataset can be used to assess the sustainability of fisheries and aquaculture practices, monitor resource utilization, and guide conservation efforts. Note: The dataset provided is fictional and serves as an example. In reality, accessing actual Marine Economy Account Data related to Fisheries and Aquaculture GDP weightage would involve gathering data from reliable sources such as government agencies, research institutes, or international organizations specializing in fisheries and marine economics.

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.

Policymakers have to adjudicate between two competing sets of information when making decisions: the experiences of other states with which they have strong interdependent ties, and lessons from their own historical record. We show that the effects of diffusion mechanisms are mediated by (a) the degree of economic interdependence between countries, and (b) a country's degree of trade exposure, providing a more accurate measure of diffusion compared to current approaches. A state is more likely to open its capital account when other states with which it has economic ties also liberalize their capital account, but this effect declines as levels of trade exposure increase. Second, we argue that states are affected not just by the international economy but also by their own historical experience of trying different economic policies. While we found a counter-intuitive negative relationship between a country's economic history and its current levels of capital account openness, we suspect this result is driven by an intervening, non-linear effect of inflation that can be investigated in future research. We also discuss the challenges of making causal inferences using time-series cross sectional data, demonstrate ways to improve methodological rigor, and discuss the trade-offs involved in choosing between different models.

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.

The objective of the study is to explore the relationship between country governance practices along with political stability and Economic policy uncertainty, and stock market performance of two different economies, Pakistan and Kurdistan region of Iraq. To meet our objectives, we used the 25 years past data from 1996 to 2021. Data is collected from the DataStream database. The regression analysis is used as the method of estimation for linear and moderation effect. Our results show that regulatory quality, rules of law and political stability has significant positive relationship with stock market performance of Pakistan, but all the governance indicators have significant positive relationship with stock market performance of the Kurdistan Region of Iraq. Moreover, political stability has significant moderating impact between the governance practices and the performance of the stock markets of both economies indicating that the governance practices perform well with the political stability that leads to rise in the stock market indices of selected countries. Economic policy uncertainty has significant negative moderation impact due to creating the risk in both economies that decrease the performance of the stock markets of the selected economies. Finally, our study advocated some implications for the investors to increase their confidence on the stock of high political stability and low economic policy uncertainty economies. Government can take significant measures to control the uncertainty of the policy and portfolio managers can adjust their risk on the ground of the political stability and efficient governance practices countries.

The determinants of attitudes to social and economic policy issues among the population are judged very differently in the literature. On the one hand, the attitudes are attributed to self-interest, but more recent studies in particular describe the political orientation as formative. In this study, WIFO investigates the reasons for the acceptance of social and economic policy measures in Austria on the basis of a representative survey. Both the state of knowledge about the economy and the (subjective) expectations about the consequences of the measures are taken into account. The aim of this study is to examine the determinants of attitudes towards social and economic policy measures in the Austrian public. Although such questions are relevant for fundamental social and economic concepts and theories as well as for (real) political discourse, it is only in recent years that academic research has become interested in them. The (strongly) increasing interest in recent years can be explained by the fact that social and economic policy measures are increasingly the subject of public and media discourse, and that the relevant decision-making bodies are under increasing pressure to design their measures in accordance with the "will" of the public or the "majority". Since the acceptance of measures in the population can therefore sometimes determine whether and how a certain measure is implemented, it is naturally of considerable interest to the decision-making bodies how different determinants influence the formation of public opinion. Against the backdrop of an increasing proportion of "voters of change", this is especially true for political parties that want to maximize their voter potential and align their social and economic policies accordingly.

This research note presents a new dataset on the speed of tariff liberalization in sixty-one preferential trade agreements (PTAs) signed by fifty states and regional economic organizations over the period 1995 to 2013. We use this dataset to test prominent arguments concerning the impact of intra-industry trade and global value chains on the political economy of trade. Our results indicate that the speed of tariff liberalization through PTAs is considerably faster for intermediate goods than for finished products. This is in line with the most prominent argument about how global value chains affect the political economy of trade liberalization. At the same time, we find mixed evidence for the impact of intra-industry trade on the ease of trade liberalization, which reflects strong cross-country variation. We conclude with a discussion on how the dataset can help tackle important questions in international political economy and inform ongoing debates on trade agreements.

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

Techsalerator's News Events Data for Mexico provides a valuable resource for businesses, researchers, and media organizations. This dataset consolidates significant news events across Mexico, gathering information from a diverse range of media sources, including news outlets, online publications, and social media platforms. It offers insightful data for tracking trends, analyzing public sentiment, and monitoring industry-specific developments.

Key Data Fields - Event Date: Records the exact date of the news event, essential for trend analysis and timely business responses. - Event Title: A concise headline that summarizes the event, allowing users to quickly assess the relevance and content of news. - Source: Identifies the news outlet or platform reporting the event, helping users evaluate the credibility and reach of the information. - Location: Provides geographic details on where the event occurred within Mexico, useful for regional analysis and localized marketing. - Event Description: A detailed summary of the event, including key developments, participants, and potential impacts. This field supports a comprehensive understanding of the event’s context and significance.

Top 5 News Categories in Mexico - Politics: Coverage of government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: News on Mexico’s economic indicators, inflation rates, international trade, and corporate activities that influence the business and finance sectors. - Social Issues: Events related to protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights of popular sports events, including football and boxing, which often receive substantial attention and engagement. - Technology and Innovation: Reports on technological developments, startups, and innovations within Mexico’s expanding tech ecosystem, showcasing emerging companies and advancements.

Top 5 News Sources in Mexico - El Universal: A major national newspaper known for comprehensive coverage of politics, economy, and social issues. - Milenio: A prominent news outlet providing timely updates on breaking news, politics, and current affairs. - Excélsior: A widely-read newspaper offering insights into local politics, economic developments, and societal trends. - Reforma: A significant news source covering a broad range of topics, including politics, economy, and social issues. - Animal Político: An influential online news platform known for in-depth reporting on political and social issues.

Accessing Techsalerator’s News Events Data for Mexico To access Techsalerator’s News Events Data for Mexico, please contact info@techsalerator.com with your specific requirements. We will provide a customized quote based on the data fields and records you need, 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 essential tool for tracking significant events in Mexico, supporting informed decision-making for business strategies, market analysis, and academic research, and offering a clear view of the country’s news landscape.

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.

In the first field experiments to encourage participation in local civic bodies, I examine if outreach can reduce inequalities in who participates in city council meetings. Renter participation in local politics lags that of homeowners, who often participate to oppose housing growth. 19,951 renter households received randomly assigned emails encouraging them to comment at their city council meetings and support housing growth. Opening a message highlighting potential costs of abstention from local politics increased public comments by 1.4 percentage points versus placebo. These effects are substantively large: treatment-induced comments represented 8% of total comments and 46% of pro-housing comments across all targeted meetings. The results suggest that even low-cost outreach strategies can meaningfully increase participation in lesser known settings like city councils and make these bodies more reflective of the general public. Further, increasing the perception that abstention is costly appears to be an effective motivator of collective action.

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.