Article
Mathematics, Interdisciplinary Applications
Martina Bader, Lisa J. Jobst, Morten Moshagen
Summary: Despite the application of bifactor models, little research has considered sample sizes required for this type of model. In this study, we illustrate how to determine sample size requirements for bifactor models using Monte Carlo simulations in R. Results show that a sample size of 500 is often sufficient, but exact requirements depend on various model characteristics.
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
(2022)
Article
Social Sciences, Mathematical Methods
Catherine E. Harnois, Joao L. Bastos, Salma Shariff-Marco
Summary: This study examines the difficulty of using the Everyday Discrimination Scale to assess discrimination. It finds that marginalized individuals often can't identify a single reason for the discrimination they face, which may result in underestimation and bias in the data.
SOCIOLOGICAL METHODS & RESEARCH
(2022)
Article
Economics
Peter Reinhard Hansen
Summary: This study proposes a simple dynamic model for estimating the relative contagiousness of two virus variants. The maximum likelihood estimation and inference method used is invariant to variation in the total number of cases over the sample period and can be expressed as a logistic regression. The model was applied to Danish SARS-CoV-2 variant data and estimated the reproduction numbers of different variants, providing a real-time assessment of the pandemic situation.
ECONOMETRICS JOURNAL
(2022)
Article
Public, Environmental & Occupational Health
David M. Goldberg, Samee Khan, Nohel Zaman, Richard J. Gruss, Alan S. Abrahams
Summary: Food contamination and food poisoning pose significant risks to consumers, and it is crucial to monitor food safety rapidly. This study utilizes text mining and machine learning methods to analyze consumer posts in online media and identify interactions with hazardous food products. The results show that this method is more accurate than traditional sentiment analysis and allows for product-level risk assessments. This research provides practical and inexpensive means for real-time monitoring of food safety.
Article
Computer Science, Interdisciplinary Applications
Junwei Zeng, Yongsheng Qian, Fan Yin, Leipeng Zhu, Dejie Xu
Summary: This paper proposes a multi-value cellular automata model under Lagrange coordinates based on reality, and simulates traffic flow in the Lagrange coordinate. It is found that traffic density and the number of lanes have a significant impact on traffic flow.
COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY
(2022)
Review
Mathematics, Interdisciplinary Applications
Xiaofeng Yu, Ying Cheng
Summary: This paper conducts a comprehensive comparison of twelve CUSUM-based statistics and three CPA-based procedures in detecting test speededness. Simulation studies show that the performances of the statistics are affected by the underlying data generating model, the severity of speededness, and the test length. The results suggest that the choice of method should depend on the specific testing conditions, such as test length and underlying mechanism.
MULTIVARIATE BEHAVIORAL RESEARCH
(2022)
Article
Mathematics, Interdisciplinary Applications
Bo Zhang, Jing Luo, Tianjun Sun, Mengyang Cao, Fritz Drasgow
Summary: This study systematically examines the influence of cross-loadings on regression coefficient estimation in bifactor predictive models. Results reveal that forcing cross-loadings to zero has negative effects on model identification, estimation bias, power, and Type I error rates. ESEM with target rotation performs unexpectedly poorly, while augmented BSEM outperforms other strategies in most conditions. The empirical example demonstrates the feasibility of the proposed approach. These findings can assist users in designing better studies, selecting appropriate analytical strategies, and obtaining more reliable results when using bifactor predictive models.
MULTIVARIATE BEHAVIORAL RESEARCH
(2023)
Article
Social Sciences, Mathematical Methods
Thomas Hegghammer
Summary: This article compares the performance of Tesseract, Amazon Textract, and Google Document AI on images of English and Arabic text, finding that Document AI delivered the best results and server-based processors performed better than Tesseract, especially on noisy documents. The accuracy for English was considerably higher than for Arabic.
JOURNAL OF COMPUTATIONAL SOCIAL SCIENCE
(2022)
Article
Economics
Christopher Roth, Sonja Settele, Johannes Wohlfart
Summary: This study examines how beliefs about the debt-to-GDP ratio influence people's attitudes towards government spending and taxation. The findings suggest that most individuals underestimate the debt-to-GDP ratio and decrease their support for government spending after being informed about the actual debt level, while their attitudes towards taxation remain largely unchanged. The observed effects can be attributed to changes in expectations about fiscal sustainability and persist over a four-week follow-up period.
JOURNAL OF ECONOMETRICS
(2022)
Article
Economics
Trung V. Vu
Summary: This study investigates the role of institutions in shaping international differences in economic complexity and suggests a positive association between institutional quality and economic complexity. The findings highlight the importance of establishing a pro-development institutional environment to attenuate the persistence of underdevelopment through fostering economic complexity.
EMPIRICAL ECONOMICS
(2022)
Review
Business, Finance
Francisco Javier Garcia-Corral, Jose Antonio Cordero-Garcia, Jaime de Pablo-Valenciano, Juan Uribe-Toril
Summary: With the development of new technologies, the relevance of cryptocurrencies in the economic field is increasing. A detailed bibliometric study helps to obtain information about cryptocurrencies. The analysis of metadata from Web of Science and Scopus databases reveals information about articles, research areas, countries, institutions, authors, journals, and trends related to cryptocurrencies. Overall, the number of publications has been growing in recent years, and the application of blockchain technology in cryptocurrencies is evolving.
FINANCIAL INNOVATION
(2022)
Article
Business, Finance
Hongxin Yu, Yaohui Jiang, Zhaowen Zhang, Wen-Long Shang, Chunjia Han, Yuanjun Zhao
Summary: This study confirms the positive effect of China's carbon emissions pilot policy on green innovation, especially for state-owned enterprises, firms in the eastern region, and those with lower financing constraints. Furthermore, the policy promotes green innovation among regulated firms through input-output linkages, but reduces innovation to upstream firms.
FINANCIAL INNOVATION
(2022)
Article
Economics
Yingyao Hu, Jiaxiong Yao
Summary: This paper uses satellite-recorded nighttime lights to measure GDP growth in national accounts and illuminates the relationship between the two measures in a measurement error model framework. The study finds that there is an elasticity relationship between nighttime lights and GDP, and nighttime lights can improve the accuracy of GDP growth measurements, especially for low and middle income countries.
JOURNAL OF ECONOMETRICS
(2022)
Article
Economics
Julia Kielmann, Hans Manner, Aleksey Min
Summary: This study investigates the relationship between oil price changes and stock market returns, using different types of oil price shock models. The results show that the early stages of the Covid-19 crisis increased risk levels in BRICS stock markets except for China.
EMPIRICAL ECONOMICS
(2022)
Article
Public, Environmental & Occupational Health
Anca M. Hanea, Victoria Hemming, Gabriela F. Nane
Summary: Expert elicitation is used when data is lacking and important decisions need to be made. When designing expert elicitation, practitioners aim to balance best practices with practical constraints. The choices made impact time and effort investment, data quality, expert engagement, result defensibility, and decision acceptability.
Article
Social Sciences, Mathematical Methods
Rolf Becker
Summary: This article investigates gender differences in web-based online surveys and computer-assisted telephone interviews. Despite various hypotheses, none of them are empirically confirmed. The author suggests the need for future direct tests to explain this gender difference.
METHODS DATA ANALYSES
(2022)
Article
Economics
Federica Coelli, Andreas Moxnes, Karen Helene Ulltveit-Moe
Summary: This paper investigates the impact of trade liberalization on innovation, finding that tariff cuts during the 1990s have significantly stimulated innovation as measured by patent data. The results suggest that multilateral liberalization has played a crucial role in promoting innovation and growth, and these effects are not driven by a decline in innovation quality.
REVIEW OF ECONOMICS AND STATISTICS
(2022)
Article
Economics
Xiaojie Xu, Yun Zhang
Summary: This study explores the dynamic relationships among Chinese housing prices for the years 2010-2019. Using monthly data from 99 major cities in China, the researchers employ the vector error correction model and directed acyclic graph to analyze the contemporaneous causality among housing prices from different tiers of cities. The findings reveal complex housing price dynamics in the price adjustment process following price shocks, suggesting the need for national perspective in long-term housing price planning.
EMPIRICAL ECONOMICS
(2022)
Article
Economics
Abhishek Kumar, Sushanta Mallick, Madhusudan Mohanty, Fabrizio Zampolli
Summary: This article examines the effects of option-implied measures of equity and bond market volatilities on government bond term premium and key macroeconomic variables using time-varying VAR models. The study finds that shocks to VIX and MOVE have different impacts on the term premium, and increasing volatility has negative effects on output and inflation.
OXFORD BULLETIN OF ECONOMICS AND STATISTICS
(2023)
Article
Business, Finance
Emre Cevik, Buket Kirci Altinkeski, Emrah Ismail Cevik, Sel Dibooglu
Summary: This study examines the relationship between investor sentiments (positive and negative) and stock market returns and volatility in Group of 20 countries. The findings suggest that positive investor sentiment leads to increased stock returns and reduced volatility, while negative investor sentiment has the opposite effect. These results are robust and have implications for portfolio management.
FINANCIAL INNOVATION
(2022)
