Econometrics - Science topic

Purpose: This paper explores the factors influencing bilateral trade between Egypt and BRICS by employing classic econometric techniques and machine learning methods, specifically Poisson Newton-Raphson, gradient boosting (GB), and random forest (RF). Design/methodology/: The investigation utilizes traditional econometric analysis (Poisson Newton-R...

The purpose of this study is to examine how Sukuk Issuance (SI) and Corporate Social Sustainability (CS) impact Stock Price Crash Risk (CR) in Malaysian firms by analyzing CS as a potential mediator between SI and CR. In addition to eliminating interest-based debt, sukuks or Islamic bonds promote information transparency, which may lead to improved...

This is one of the challenges that new and fast-growing econometric literature is beginning to tackle in addressing causal inference problems with machine learning methods. Yet, empirical economics still has not really made use of the strengths of these modern approaches. Here, we revisit groundbreaking empirical work through the perspective of cau...

The perception that migration will be the most likely and most serious consequence of climate change, with large numbers of people migrating long distances, has not been sustained. Various analyses suggest that, although climate impacts can affect population movement, in addition to many other pushes and pull factors, most migration is internal and...

Estudios de la participación laboral según género normalmente consideran un solo sector económico a nivel país. Si bien esta simplificación permite obtener resultados apropiados para políticas generales de igualdad laboral, este nivel de agregación podría ocultar dinámicas laborales más complejas que se verifican a nivel regional, particularmente e...

Citizenship of the agricultural transfer population and market reform of rural land factors are important urban and rural factor reform propositions. It is of great theoretical and practical significance to the revitalization of the use right in the current reform of “three rights separation of homestead” and the process of citizenship of the agric...

This article examines the intricate relationship between immigration, human capital formation and economic growth in Brazil from 1890 to the present day. Employing a mixed-methods approach combining historical analysis and econometric modelling, this research investigates how different waves of immigration have contributed to human capital accumula...

To predict the volatility of crude oil Brent price, we propose a novel econometric model where the explanatory variables are a combination of macroeconomic variables (i.e. price pressure), trade data (freight shipment index), and market sentiment (gold volatility). The model is proposed in two alternative variants: first, we assume Gaussian distrib...

This research addresses migrations with the analysis of the historical evolution of Spain in this subject, in the period 1950–2021, within the context of globalization and its determinants based on different theories. The main objective is to analyze the evolution of demographic dynamics and its relationship with economic indicators in Spain, havin...

Lead is the blue-grey metal found in the earth’s crust which can be recycled infinitely without deteriorating its chemical properties. It is not only ductile but also malleable and corrosion-resistant.This piece of research identifiesthemechanism ofprice discovery between the physical and futures marketsof lead and examines the hedging efficacy...

Climate disasters, exacerbated by climate change, are becoming more frequent and severe, leading to significant socioeconomic and food system implications. Using econometrics and a dynamic general equilibrium model, this study examines the economic impact of climate disasters in Nigeria and evaluates the effect of mitigation strategies. The results...

Introduction Understanding the determinants of residential rental prices is crucial for policymakers, investors, and real estate practitioners. This study investigates the influence of property value, property characteristics, cost of living, political stability, essential services, and environmental factors on rental prices in Baidoa city. Additio...

Земцов С.П. Источники роста деловой активности в регионах России в условиях внешних шоков // Журнал Новой экономической ассоциации. 2025. № 1 (66). С. 291–300. ||| Внешние шоки 2022–2024 гг. неоднозначно сказались на деловой активности, под которой в статье понимается динамика числа субъектов малого и среднего предпринимательства (МСП) как один из...

Cet présentation explore la colinéarité et la multicolinéarité en économétrie, mettant en évidence leurs impacts sur l’interprétation des coefficients et la stabilité des estimations. À travers un exemple réel observé à Safi, nous illustrons comment une forte corrélation entre variables explicatives peut biaiser les résultats d’un modèle de régress...

Purpose This study aims to investigate whether hybrid, multilocational work (i.e. working from different workspaces) influences individual self-reported outcomes within an academic workforce. Prior studies have often associated academic work with a single environment, such as the campus or home, while the case of multilocational work in academia ha...

This study explores the most influential factors of consumer satisfaction in the thriving cloud kitchen business in Bangladesh, considering changing perceptions and advancements in technology. We've looked at how these factors such as price, quality, delivery speed, customer service, and social comparison affect satisfaction in the Bangladeshi mark...

The paper searches for the most appropriate and consistent econometric modeling of ecological footprint (EF) convergence. By identifying the weak spots and limitations of mainstream methodology, it highlights potential risks that may arise for academics and policymakers, when investigating the gap between the contribution of industrialized and deve...

Economic measurement is one of the quantitative methods in economic analysis that focuses on statistics and its tools (estimation and hypothesis testing) in studying the relationship between economic variables. This field relies on the triangle of economic theory, statistical theory, and mathematics. Since 1933, writings in the field of econometric...

The paper examines nitrous oxide (N₂O) emissions from an Environmental, Social, and Governance (ESG) standpoint with a combination of econometric and machine learning specifications to uncover global trends and policy implications. Results show the overwhelming effect of ESG factors on emissions, with intricate interdependencies between economic gr...

Managing airport curbside operations efficiently is essential for reducing congestion, improving passenger flow, and optimizing vehicle allocation. Traditional curbside management approaches often fail to adapt to fluctuating demand, leading to inefficiencies such as prolonged vehicle idling, enforcement challenges, and increased congestion. This r...

This study investigates the integration dynamics of five major wholesale paddy markets in India, each representing distinct zonal councils: Kota (Rajasthan), Attabira (Odisha), Sindhanur (Karnataka), Dahod (Gujarat), and Bhatapara (Chhattisgarh). Unlike prior research, which primarily focuses on localized short-term market integration, this study a...

This study aims to analyze the positive and significant impact of Total Asset Turnover (TATO), Debt to Equity Ratio (DER), and Quick Ratio on earnings growth, focusing on case studies of manufacturing companies in the consumer goods industry sector, especially the food and beverage sub-sector, which are listed on the Indonesia Stock Exchange during...

The log-logistic distribution is a versatile parametric family widely used across various applied fields, including survival analysis, reliability engineering, and econometrics. When estimating parameters of the log-logistic distribution, hypothesis testing is necessary to verify assumptions about these parameters. The Wald test and Rao test provid...

The paper examines nitrous oxide (N₂O) emissions from an Environmental, Social, and Governance (ESG) standpoint with a combination of econometric and machine learning specifications to uncover global trends and policy implications. Results show the overwhelming effect of ESG factors on emissions, with intricate interdependencies between economic gr...

Introduction: The world's pioneering liver transplant occurred on March 1, 1963. In Brazil, the initiative for this procedure took place in 1968 at the Hospital das Clínicas, Universidade de São Paulo. Liver transplantation should only be indicated when conventional therapeutic methods have been exhausted, with the probability of survival and quali...

This article interrogates the intricate relationship between culture, religion and economic growth through a multidisciplinary analytical framework, whilst acknowledging the methodological tensions inherent in such cross-disciplinary enquiry. Drawing upon economic, historical and sociological scholarship, it critically assesses the evolution of the...

Maize is an important crop in Indian agriculture, especially in Karnataka, where it contributes significantly to food security and industrial value chains. Similar to other farmers, smallholder farmers face perennial challenges of expensive inputs, scattered land holdings and restricted market access that impair their profitability. The Kollegala H...

As a pioneering work in its genre, this book offers valuable insights and is highly recommended for scholars interested in understanding the Indian economy from a heterodox economics perspective. Its exploratory approach to India’s long-term development, set within its unique historical and geopolitical context, provides a refreshing alternative to...

Perceptions, attitudes, intentions, etc. are routinely studied for market segmentation, tracking and predicting consumer reactions. These cognitive, affective or behavioral components are most often measured by responses to multiple-choice questions: modalities that take the form of a limited number of ordered classes with anchor points, but not al...

Using an industrial organisation (I/O) approach, this study considers venture capital (VC) and aims to explain the scale of investments made by fund management companies by the basic conditions of this industry. Thus, within the market structure-conduct-performance paradigm, we focus on the relationship between basic conditions and VC firms' conduc...

The present study seeks to investigate the impact of the shadow economy on the economic growth of the South Asian countries. Additionally, the study also explores the moderating influence of Hofstede’s national culture dimensions on the shadow economy-economy growth nexus. In order to achieve the aforementioned objectives, the study employs robust...

This study explores the relationship between informal employment and employment flexibility in Morocco. Informal employment, which accounts for a large proportion of the labor market, is characterized by precarious conditions, lack of job security and absence of social rights. The study focuses on how employment flexibility, which allows companies...

Abstract: The article explores scientific activity's influence on the population's income. Factors influencing the population's income were selected, an econometric model was built, and the influence of each factor was assessed. The number of published scientific articles in basic sciences and engineering, indexed in the scientific and bibliographi...

This work examines foreign debt, investment, and economic growth in OIC countries. Using panel data analysis, it considers how external debts affect these countries in terms of investment and economic growth. The results suggest external debt has both positive and negative roles on investment and economic growth depending on the country's economy....

Warehouse demand forecasting contributes to cost reduction by preventing missed sales opportunities and minimizing excess costs resulting from overstocking. A key factor influencing the achievement of lower forecasting errors is the quality of data. Enhancing forecast quality can be achieved by refining either the model architecture or the data pre...

The relationship of humans with the natural environment is at a critical juncture, with deforestation driven by agricultural expansion being a significant contributor to climate change. The study discusses the awareness of climate change and the environmental impact of farming practices among large landholders in the Kalaburagi district of Karnatak...

Emotional well-being is a fundamental factor that directly influences individual productivity from an economic perspective. Recently, the COVID-19 pandemic has been a significant factor that has affected emotional well-being. It has had serious repercussions on economies and societies, as well as significant psychological and social effects on the...

The financial system plays a crucial role in supporting an economy's ability to address environmental concerns and enhance its ability to withstand ecological risks, considering its financial requirements. To this end, the present study attempts to explore the impact of financial development, financial inclusion and economic uncertainty on green in...

La eficiencia técnica de PEMEX representa un aspecto esencial en el entendimiento de su capacidad para potenciar la rentabilidad petrolera y, en consecuencia, incrementar la calidad de vida de un gran número de mexicanos. A pesar de los significativos cambios derivados de la Reforma Energética de 2013 y el notable plan de inversión promovido por la...

The wide application of high-frequency data has attracted the in-depth research of scholars in various fields, especially in econometrics and statistics. In this article, we construct a blockwise empirical likelihood (EL) ratio statistic for a nonparametric regression function under \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{was...

In the way of developing its Central and Eastern regions, the European Union has faced competition from China, which has similar policies and different goals. China has more flexibility and freedom of action in its interaction with the European Union. One of the results of the implementation of China's Belt and Road Initiative (BRI) and the 14+1 ag...

This article empirically proposes an unbalanced panel data model of random effects for the total of municipalities in Colombia in a period between 2007 and 2022 that analyzes the impact of the armed conflict on agricultural production, controlling by municipalities ZOMAC, post-peace agreement and sown area. The results show that production is negat...

Cryptocurrencies have received a lot of attention from central banks, investors, and governments worldwide. The insufficiency of any method of political guideline and their market is far from “effective”, so they want novel regulation methods shortly. From an econometric perspective, the technique underlying the growth of the cryptocurrencies’ vola...

Several studies have focused on the economic impact that can be attributed to films and series on tourism in a certain location. Many have focused on the general economic effects such as employment due to the increase of films or series. Others on the effects of film tourism on the overall image of a particular destination. In the case of Mexico, t...

Malnutrition, in all its forms, poses a significant threat to human development and economic growth. Consequently, enhancing food security and consumption is a moral and social imperative for fostering development. Despite the substantial evidence on the relationship between caloric intake and labour productivity, research on the connection between...

El objetivo de la presente investigación es determinar la validez y fiabilidad de un instrumento de medida para los costos de transacción entre productores de café del Estado de México. Para tal propósito se aplicaron 203 cuestionarios entre cafeticultores de la entidad. Posteriormente, se analizó su validez de constructo por medio de un análisis f...

This study examines the impact of information and communication technology (ICT) adoption on food security in emerging seven countries: namely China, India, Indonesia, Russia, Mexico, Brazil, and Turkey from 1995 to 2019. To obtain robust findings, we deploy several econometric approaches, including the Westerlund ECM co-integration test, PMG metho...

Accelerating climate change has harmed food and water security and affected both terrestrial and aquatic systems, hindering efforts to meet many Sustainable Development Goals [SDGs]. Climate finance can help mobilize financial resources and tackle the effects of climate change. This study analyzes existing literature on climate finance more broadly...

This empirical investigation delves into the interrelations between economic freedom, economic complexity, and renewable energy vis-à-vis the EU’s energy-pertinent environmental performance within the context of the EU’s green transition. Concurrently, the research probes into the interactive impact of economic freedom and economic complexity on en...

The theory of optimal transportation has developed into a powerful and elegant framework for comparing probability distributions, with wide-ranging applications in all areas of science. The fundamental idea of analyzing probabilities by comparing their underlying state space naturally aligns with the core idea of causal inference, where understandi...

Since the middle of the 20th century, researchers who investigate economic relationships have come to favor economic measurement, and its use has become more important to analyze these relationships and generate accurate measurements and conclusions. Computers were becoming more and more popular because they saved a lot of time and effort. Addition...

To study this relationship, an econometric study will be conducted, using statistical techniques to examine relevant economic data and develop forecasting models. The primary objective is to assess how fluctuations in exchange rates affect per capita income in a given country or group of countries over a specified period of time. Econometric techni...

En México, el indicador de confianza del consumidor es gestionado por el Instituto Nacional de Estadística y Geografía. Este indicador se obtiene a través de la encuesta ENCO, que utiliza 5 variables específicas de las 15 que captura el instrumento. Los países que realizan esta medición también utilizan un número reducido de preguntas. México no es...

Matrix-valued time series analysis has gained prominence in econometrics and finance due to the increasing availability of high-dimensional data with inherent matrix structures. Traditional approaches, such as Matrix Autoregressive (MAR) models and Dynamic Matrix Factor (DMF) models, often impose restrictive assumptions that may not align with real...

Financial stress testing is a critical tool for assessing the resilience of financial institutions under adverse economic conditions. Traditional stress testing models, relying on statistical and econometric approaches, often struggle to capture complex, non-linear relationships in financial data. This study explores the integration of deep learnin...

We examine the strategic utilization of internal controls and breach disclosures by firms to safeguard their survival, particularly within the unique context of cyberattacks, which challenge operational continuity, data integrity, and proprietary information security. Our investigation reveals that frequent cyberbreach disclosures bolster a firm’s...

Financial stress testing is a critical tool for assessing the resilience of financial institutions under adverse economic conditions. Traditional stress testing models, relying on statistical and econometric approaches, often struggle to capture complex, non-linear relationships in financial data. This study explores the integration of deep learnin...

Econometrics has become increasingly important in Economics and Business degrees, since it appears to be narrowly related to several main skills and competencies as information management, creativity, problem‐solving or decision‐making. Furthermore, the development of information technologies, including econometric software, makes it possible to le...

There is a critical need to validate Social Trust Theory, Political Participation Theory, and Happiness and Well-being Theory using modern methodologies. This study employs machine learning models—Random Forest (RF) and Support Vector Machine (SVM)—applied to longitudinal data from 1972 to 2023 across six diverse countries. The findings reveal that...

The COVID-19 pandemic and its aftermath underscore the urgent need to examine the dividend policies of green investment firms in Indonesia, particularly their responses to economic uncertainty and their influence on stock market behavior. This study addresses a gap in the literature by exploring the dividend policies of SRI-KEHATI firms, Indonesia’...

Financial stress testing is a crucial tool for assessing the resilience of financial institutions under adverse conditions. Traditional stress testing models rely on statistical and econometric approaches that, while effective, often struggle with capturing complex, nonlinear relationships in financial data. Deep learning (DL) presents a transforma...

Modeling of growth (or decay) curves arises in many fields such as microbiology, epidemiology, marketing, and econometrics. Parametric forms like Logistic and Gompertz are often used for modeling such monotonic patterns. While useful for compact description, the real-life growth curves rarely follow these parametric forms perfectly. Therefore, the...

This paper explores the economic impact of migration stemming from the Russian-Ukrainian conflict on the Armenian economy (in the short run), with a particular focus on the real estate market. The significant influx of Russian migrants due to the Russian-Ukrainian conflict has introduced economic shifts, particularly in property prices, rental volu...

Introduction Expanding health insurance is viewed as a core strategy for achieving universal health coverage. In Senegal, as in many other developing countries, this strategy has been implemented by creating community-based health insurance (CBHI) schemes with voluntary enrolment and a fixed premium paid by enrollees. Yet little is known about how...

Introduction The transition to a circular economy is a key pillar of European sustainable development. However, in the current context, shaped by multiple crises and geopolitical conflicts, the efficiency and resilience of this transition are of particular concern. European policymakers and national authorities must adapt their approaches to mitiga...

This study examines Morocco's tourism policy in preparation for the FIFA World Cup 2030, evaluating its alignment with sustainable and competitive benchmarks. Using a mixed-method approach-benchmarking against Spain and Portugal and econometric modeling via the Generalized Method of Moments (GMM)-we analyze Morocco's tourist arrivals (2007-2023) an...

Abstract: This research aims to analyze and measure the impact of certain macroeconomic variables on the general budget deficit in Algeria, Malaysia, and South Africa over the period from 2000 to 2022, To achieve this, the study employs a panel data methodology, which combines time-series data with cross-sectional data. The study also tests the st...

The adoption of hybrid chicken production as a source of income and food security among smallholder farmers has recently taken significant global attention. However, the effect of adoption of hybrid chicken across different genders on household food expenditure and food security remains unknown. This study employed propensity score matching (PSM) a...

External economic imbalances are one of the chronic problems that developing countries, including Egypt, suffer from. The Egyptian economy has suffered from obvious imbalances in most years of the period under study in some of the main variables related to these imbalances, which are the variables related to the net international investment pos...

This study investigated the moderating effect of interest rate on exchange rate volatility’s and foreign direct investment inflows in some Sub-Saharan African countries. The study utilized panel data, spanning the period from 1990 to 2022, using a sample of 38 nations, where the Two Stages Least Square estimator was utilized as the main econometric...

Penelitian ini bertujuan untuk mengetahui Pengaruh inflasi, leverage dan return on equity terhadap nilai perusahaan dengan laba bersih sebagai variabel moderating pada sektor perbankan yang terdaftar di Bursa Efek Indonesia (BEI) pada tahun 2019-2023. Teknik pengumpulan sampel dalam penelitian ini menggunakan metode Purposive Sampling sehingga dari...

This study analyzes the spillover effects of economic and political uncertainty from advanced, emerging and lowincome economies on stock returns in Vietnam based on a firm-level approach. After controlling for firm-level and country-level factors and addressing potential endogeneity issues, we find positive associations between uncertainties in adv...

We propose an open-access innovation index for the U.S. states. This index was built by classifying into four core areas the twelve more important indicators, inputs, and outputs, that are widely accepted in the literature as the most relevant for measuring innovation. We consider the indicators aggregated in the areas of human capital and business...

Resumo Este comentário critica a reprodução da crença equivocada de que a economia mainstream é igual à economia neoclássica e de que esta, por sua vez, é igual à economia (neo)liberal. A rejeição dessas igualdades complica as relações entre economia mainstream, ortodoxa e heterodoxa. O comentário argumenta também que o caso do Brasil é diferente d...

Causal inference in machine learning represents a paradigm shift from identifying correlations to understanding causation, enabling models to reason about the underlying mechanisms that generate data. While traditional machine learning excels at pattern recognition and prediction, it often falls short in answering "what if" questions or making deci...

Penelitian ini bertujuan untuk megetahui pengaruh profitabilitas dan likuiditas terhadap nilai perusahaan dengan kebijakan dividen sebagai variabel moderating pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia (BEI) pada tahun 2019-2023. Teknik pengumpulan sampel dalam penelitian ini menggunakan metode Purposive sampling sehingga dar...

We collate data from the latest AISHE Report regarding PhDs enrolled and passing out and the Gross State Domestic Product (GSDP) of various states and union territories to compute primary and composite indicators that show how well they are preparing for a knowledge economy. The "Revealed" Comparative Advantage (RCA) of Balassa is used to evaluate...

Africa’s pursuit of sustainable economic growth is intrinsically linked to the efficient management of energy resources, the transition towards a green economy, and the development of the blue economy. This study investigates the asymmetric nexus between these critical factors and their impact on growth sustainability in 11 major African countries...

This study aims to analyze the impact of financial inclusion on the efficiency of banking systems in a sample of G20 countries during the period 2005–2023, using panel data models and Eviews 13. The study focused on measuring the effect of the number of automated teller machines (ATM) per 100,000 adults, the number of commercial bank branches per 1...

In 1944, just five years after the controversy between John Maynard Keynes and Jan Tinbergen, Lawrence R. Klein found himself in a unique position. As a leading expert on Keynesian economics in the United States, Klein was recruited at the Cowles Commission to rebuild Tinbergen’s macro-econometric model of the US economy. This paper explores Klein’...

Fossil fuels are among the most crucial factors underlying global environment impairment through CO2 emissions. In addition to this, the globalized world has witnessed significant price volatility, instability and disruptions in the supply of fossil fuels. Therefore, renewable energy transition (RET) has become a mandatory option for countries to t...

Trump 2.0, which is the unusual comeback of Donald Trump as the 47th President of the United States in 2025 after his initial stint as the 45th President has introduced major economic shifts through protectionist policies, increased tariffs, and foreign aid reductions, with significant implications for Nigeria’s economy. The shift in US foreign pol...

Climate change, caused by the burning of fossil fuels, has emerged as an acute world problem, especially in the Group of Twenty (G20), where CO 2 emissions and other greenhouse gases are accumulating. This research examines how energy consumption, digitization, internationalization, and green finance affect the environmental sustainability of G20 c...

This study examines the impact of rising construction material costs on housing affordability, focusing on Ukraine, the European Union, and the United States during the period 2019–2024. The research employs statistical datasets and econometric analyses to assess the relationship between construction material price inflation and the declining acces...

This study explores the influence of financial development encompassing financial market development and financial institution development as well as institutional quality (IQ) on capital structure decisions. The analysis is based on a dataset comprising 206 non-financial firms listed on the Pakistan Stock Exchange (PSE) and the Nifty50 index over...

As the world grapples with climate change and other environmental issues caused by unsustainable production and consumption, the industrial sector has come under greater scrutiny in recent years. The consensus is that appropriate energy saving measures [energy management] in the industrial sector could significantly cut energy consumption and conse...

Variable selection methods have been a focus in the context of econometrics and statistics literature. In this paper, we consider additive spatial autoregressive model with high-dimensional covariates. Instead of adopting the traditional regularization approaches, we offer a novel multi-step sparse boosting algorithm to conduct model-based predicti...

This study explores the association among renewable energy, energy policy risk, economic development, ESG (Environmental, Social, Governance) performance and institutional quality in the panel of 137 nations from 2000 to 2022. For the econometric estimations, Method of Moments Quantile Regression (MMQR) approach is employed which is robust for the...

This study aims to review the connections between Turkey's energy industry, carbon emissions, renewable energy consumption, energy efficiency, and the provision of policy recommendations for environmental sustainability. The research looks at data from 2000 to 2022 using econometric tools including the Toda-Yamamoto causality test and the DF-GLS un...

This paper builds on Hsieh and Klenow’s (2009) model to offer a refined analysis of how input misallocations impact aggregate total factor productivity (TFP). We enhance the original model by relaxing the assumption of uniform input prices and adopting an econometric approach to estimate parameters using firm-level data. Estimation of model paramet...

The study examines the contribution of sustainable livestock production to environmental degradation. The aim is to show that exclusion of livestock production activity in modelling environmental degradation using the Stochastic Impacts by Regression on Population, Affluence, and Technology model biases the environmental elasticity of the human pop...

Alleviating poverty stands as one of the paramount global challenges, particularly in regions like Latin America, where socioeconomic disparities persist. Therefore, this study aims to investigate the relationship between Foreign Direct Investment (FDI) and poverty reduction in 14 Latin American countries from 1992 to 2022. Utilizing panel quantile...

In most scientific disciplines, the \(p\)-value is, still too often, revered as “the” conclusive criterion for hypothesis testing. For years, scholars from diverse horizons have alerted to the hazards of daredevil claims of “proofs” entailed by mere benchmarking of \(p\) against an arbitrarily predetermined risk tolerance \(\alpha\)-cutoff. Decidin...

This paper has assessed the dynamics of entrepreneurial ecosystems across the US states. To do this, we have used the Startup Formation Rate (SFR) and the Entrepreneurial Quality Index (EQI) from a novel data set called the Startup Cartography Project, which spans from 1988 to 2014. For this purpose, we have applied the Phillips and Sul (Econometri...

This paper examines the short-term effects of financial support provided to Inner Areas through a specific place-based governmental policy that was introduced in Italy between 2014 and 2018 to combat depopulation. Taking advantage of the most recent developments in the econometrics of policy evaluation, we apply a staggered difference-in-difference...

Purpose: The purpose of this research is to investigate the simultaneous effect of social responsibility on the company and the emotions of investors. Today, moral issues and actions for economic development are focused on improving the quality of human resources on a wider scale, the community. As a result, firms plan their strategy purposes that...

Since the independence movements of the 1960s, Africa has seen a continuous succession of integration efforts. These initiatives led to the formation of eight Regional Economic Communities (RECs), each advancing regional integration processes in line with the Abuja Treaty. However, at the most advanced stage, these RECs have not moved beyond the co...

The development of sustainable societies relies upon the institutional structures that govern the relationship between economic systems and environmental leadership. In this study, we engage with the juxtaposition between inclusive and extractive institutions as potential molders of the trajectory of sustainability. Featuring governance indicators...

Non-fungible tokens (NFTs) have gained mainstream attention in the fintech community, but there is little research on their statistical properties. This study investigates the long-memory characteristics of NFT returns and volatility, focusing on their potential for predicting price movements. As NFTs do not conform to traditional models, understan...

The aim of this paper is to estimate the Chinese migration networks effect on its commercial balance. We have measured the impact of Chinese emigration to European countries on the exportation and compared it with the effects on importation through a gravity model estimation in which, emigration was included as an explicative variable as well as GD...