Quality & Quantity最新文献_第2页

Economic policy uncertainty, corporate diversification and firm value: the global evidence 经济政策不确定性、企业多元化与企业价值:全球证据

Quality & Quantity Pub Date : 2023-11-06 DOI: 10.1007/s11135-023-01768-8

Zahid Jumah, Nabeel Safdar, Zahid Irshad Younas, Adeel Ahmed

引用次数: 0

Do social media use and gadget loving affect innovative job performance? The moderation role of generation cohort: an evaluation of the kitchen chefs 社交媒体的使用和对电子产品的热爱会影响创新工作绩效吗?世代世代的调节作用:对厨房厨师的评价

Quality & Quantity Pub Date : 2023-11-02 DOI: 10.1007/s11135-023-01773-x

Faruk Yüksel, Üzeyir Kement, Samet Can Aksu, Mehmet Kabacik, Raffaela Ciuffreda

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Reinforcement learning for sequential decision making in population research 人口研究中序列决策的强化学习

Quality & Quantity Pub Date : 2023-11-02 DOI: 10.1007/s11135-023-01755-z

Nina Deliu

{"title":"Reinforcement learning for sequential decision making in population research","authors":"Nina Deliu","doi":"10.1007/s11135-023-01755-z","DOIUrl":"https://doi.org/10.1007/s11135-023-01755-z","url":null,"abstract":"Abstract Reinforcement learning (RL) algorithms have been long recognized as powerful tools for optimal sequential decision making. The framework is concerned with a decision maker, the agent, that learns how to behave in an unknown environment by making decisions and seeing their associated outcome. The goal of the RL agent is to infer, through repeated experience, an optimal decision-making policy, i.e., a sequence of action rules that would lead to the highest, typically long-term, expected utility. Today, a wide range of domains, from economics to education and healthcare, have embraced the use of RL to address specific problems. To illustrate, we used an RL-based algorithm to design a text-messaging system that delivers personalized real-time behavioural recommendations to promote physical activity and manage depression. Motivated by the recent call of the UNECE for government-wide actions to adapt to population ageing, in this work, we argue that the RL framework may provide a set of compelling strategies for supporting population research and informing population policies. After introducing the RL framework, we discuss its potential in three population-study applications: international migration, public health, and fertility.","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"11 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135933475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forecasting cryptocurrencies returns: Do macroeconomic and financial variables improve tail expectation predictions? 预测加密货币回报:宏观经济和金融变量是否会改善尾部预期预测?

Quality & Quantity Pub Date : 2023-11-02 DOI: 10.1007/s11135-023-01761-1

Kokulo K. Lawuobahsumo, Bernardina Algieri, Arturo Leccadito

{"title":"Forecasting cryptocurrencies returns: Do macroeconomic and financial variables improve tail expectation predictions?","authors":"Kokulo K. Lawuobahsumo, Bernardina Algieri, Arturo Leccadito","doi":"10.1007/s11135-023-01761-1","DOIUrl":"https://doi.org/10.1007/s11135-023-01761-1","url":null,"abstract":"Abstract This study aims to jointly predict conditional quantiles and tail expectations for the returns of the most popular cryptocurrencies (Bitcoin, Ethereum, Ripple, Dogecoin and Litecoin) using financial and macroeconomic indicators as explanatory variables. We adopt a Monotone Composite Quantile Regression Neural Network (MCQRNN) model to make one- and five-steps-ahead predictions of Value-at-Risk (VaR) and Expected Shortfall (ES) based on a rolling window and compare the performance of our model against the Historical simulation and the standard ARMA(1,1)-GARCH(1,1) model used as benchmarks. The superior set of models is then chosen by backtesting VaR and ES using a Model Confidence Set procedure. Our results show that the MCQRNN performs better than both benchmark models for jointly predicting VaR and ES when considering daily data. Models with the implied volatility index, treasury yield spread and inflation expectations sharpen the extreme return predictions. The results are consistent for the two risk measures at the 1% and 5% level both, in the case of a long and short position and for all cryptocurrencies.","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"16 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135934625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modelling labour productivity and the role of research intensity in 129 years: evidence from a new dynamic instrumental variable estimation approach 劳动生产率模型和129年来研究强度的作用:来自一种新的动态工具变量估计方法的证据

Quality & Quantity Pub Date : 2023-10-31 DOI: 10.1007/s11135-023-01766-w

Sakiru Adebola Solarin, Mufutau Opeyemi Bello

引用次数: 0

Correction: Mapping fear of crime: defining methodological orientations 更正:描绘对犯罪的恐惧:定义方法论取向

Quality & Quantity Pub Date : 2023-10-28 DOI: 10.1007/s11135-023-01769-7

Julien Noble, Antoine Jardin

引用次数: 0

Disentangling work–family conflict, support, and turnover intentions: quanti–quali mixed method approach 解开工作-家庭冲突、支持与离职意向:定量-质量混合方法

Quality & Quantity Pub Date : 2023-10-26 DOI: 10.1007/s11135-023-01759-9

Rakesh Belwal, Shweta Belwal, Suhaila Ebrahim AlHashemi

引用次数: 0

A proposal for the selection of green building standards through the analytical hierarchy process (AHP): a roadmap for green hotels in Turkey 通过层次分析法(AHP)选择绿色建筑标准的建议:土耳其绿色酒店的路线图

Quality & Quantity Pub Date : 2023-10-21 DOI: 10.1007/s11135-023-01756-y

Fatma Kürüm Varolgüneş, Sadık Varolgüneş, María de la Cruz del Río-Rama, Amador Durán-Sánchez

引用次数: 0

Research hotspots, emerging patterns, and intellectual structure of homestay tourism: a bibliometric analysis 民宿旅游研究热点、新兴模式与智力结构:文献计量分析

Quality & Quantity Pub Date : 2023-10-18 DOI: 10.1007/s11135-023-01763-z

Nagihan Cakmakoglu Arici, Dilara Eylul Koc

引用次数: 0

Comparing qualitative and quantitative text analysis methods in combination with document-based social network analysis to understand policy networks 比较定性和定量文本分析方法与基于文档的社会网络分析相结合，了解政策网络

Quality & Quantity Pub Date : 2023-10-18 DOI: 10.1007/s11135-023-01753-1

Anna Malandrino

{"title":"Comparing qualitative and quantitative text analysis methods in combination with document-based social network analysis to understand policy networks","authors":"Anna Malandrino","doi":"10.1007/s11135-023-01753-1","DOIUrl":"https://doi.org/10.1007/s11135-023-01753-1","url":null,"abstract":"Abstract The literature that reflects on the application of Social Network Analysis (SNA) in combination with other methods is flourishing. However, there is a dearth of studies that compare qualitative and quantitative methods to complement structural SNA. This article addresses this gap by systematically discussing the advantages and disadvantages relating to the use of qualitative text analysis and interviewing as well as quantitative text mining and Natural Language Processing (NLP) techniques such as word frequency analysis, cluster analysis, topic modeling, and topic classification to understand policy networks. This method-oriented comparative study features two empirical studies that respectively examine the Employment Thematic Network, established under the aegis of the European Commission, and the intergovernmental cooperation network set up within the Bologna Process. The article compares and discusses the underlying research processes in terms of time, human resources, research resources, unobtrusiveness, and effectiveness toward the goal of telling meaningful stories about the examined networks in light of specific guiding hypotheses. In doing so, the paper nurtures the debate on mixed-methods research on social networks amidst the well-known paradigm war between qualitative and quantitative methods in network analysis.","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135883015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0