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Is regulation to blame for the decline in American entrepreneurship?

Nathan Goldschlag, Alex Tabarrok
2018 Economic Policy: A European Forum  
By combining these data, we are able to estimate the extent to which changes in the level of federal regulation can explain decreasing entrepreneurial activity and dynamism.  ...  Businesses, which contains measures of the decline in economic dynamism, with RegData, a novel dataset leveraging the textual content of the Code of Federal Regulations.  ...  The dynamism decline is robust, appearing in a variety of data including the Job Openings and Labor Turnover data, the Bureau of labor Statistics' Business Employment Dynamics data, and business dynamics  ... 
doi:10.1093/epolic/eix019 fatcat:5e3oku4edjdyropwher4vicfxa

Is Regulation to Blame for the Decline in American Entrepreneurship?

Nathan Goldschlag, Alexander T. Tabarrok
2014 Social Science Research Network  
By combining these data, we are able to estimate the extent to which changes in the level of federal regulation can explain decreasing entrepreneurial activity and dynamism.  ...  Businesses, which contains measures of the decline in economic dynamism, with RegData, a novel dataset leveraging the textual content of the Code of Federal Regulations.  ...  The dynamism decline is robust, appearing in a variety of data including the Job Openings and Labor Turnover data, the Bureau of labor Statistics' Business Employment Dynamics data, and business dynamics  ... 
doi:10.2139/ssrn.2559803 fatcat:wz5dcaie2jh2xfqggmgrvusx3u

Big Data and Data Science Methods for Management Research

Gerard George, Ernst C. Osinga, Dovev Lavie, Brent A. Scott
2016 Academy of Management Journal  
Acknowledgements We are grateful for the insightful comments of Kevin Boudreau, Avigdor Gal, John Hollenbeck, Mark Kennedy, and Michel Wedel on earlier versions.  ...  Gerry George gratefully acknowledges the financial and research support of The Lee Foundation.  ...  When exploring textual data to determine which of the many words in texts are associated with the variable of interest, one can make use of the techniques described aboveeach word is a single variable.  ... 
doi:10.5465/amj.2016.4005 fatcat:xkudyrgbpzba3fibupr4khl6vy

Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era [chapter]

Aleš Zamuda, Vincenzo Crescimanna, Juan C. Burguillo, Joana Matos Dias, Katarzyna Wegrzyn-Wolska, Imen Rached, Horacio González-Vélez, Roman Senkerik, Claudia Pop, Tudor Cioara, Ioan Salomie, Andrea Bracciali
2019 Msphere  
Key compounding perspectives of current challenges are addressed, including blockchains, data collection, annotation, and filtering, and sentiment analysis metrics using data streams and cloud platforms  ...  Initial Coin Offering (ICO) values for incoming cryptocurrencies, trading strategies employing the new Sentiment Analysis metrics, and risk aversion in cryptocurrencies trading through a multi-objective  ...  The dependent variable x t+1 in the textual sentiment finance literature is typically Bitcoin price and/or trade volume [2, 37, 51, 61, 67, 136] or Bitcoin return and volatility, as in [30] .  ... 
doi:10.1007/978-3-030-16272-6_12 fatcat:4x5kdnaxabg73blffgo7n3jgii

Cross-Covariance Models [chapter]

2017 Encyclopedia of GIS  
The complexity of spatial data and intrinsic spatial relationships limits the usefulness of conventional data mining techniques for extracting spatial patterns.  ...  Acknowledgements We would like to thank Keith Harries, Dan Helms, Chris Maxwell and Susan Wernicke-Smith for providing comments on this entry in a very short time.  ...  ., Rochester, MN, USA Synonyms Co-location mining; Co-location rule discovery; Co-location rule finding; Co-location rule mining; Co-occurrence; Spatial association; Spatial association analysis Definition  ... 
doi:10.1007/978-3-319-17885-1_100240 fatcat:2ojzb7es7rhofinw4abol6dgc4

Book of Abstracts of the Digital Humanities in the Nordic Countries 5th conference. Riga, 20–23 October 2020 [article]

Sanita Reinsone, Anda Baklāne, Jānis Daugavietis
2020 Zenodo  
Book of Abstracts DHN, Rīga 2020 Book of Abstracts of the Digital Humanities in the Nordic Countries 5th conference.  ...  conferences/dhn2020 Editors: Sanita Reinsone, Anda Baklāne, Jānis Daugavietis Editorial assistants: Justīne Jaudzema, Ilze Ļaksa-Timinska Cover: Anete Krūmiņa Publisher: Institute of Literature, Folklore and  ...  We also thank the library of the Technische Acknowledgements This work has been supported by the European Union's Horizon 2020 research and innovation programme under grant 770299 (NewsEye).  ... 
doi:10.5281/zenodo.4107117 fatcat:6ongky6p5rab7gvtawnjmp2ofm

Towards an understanding of the vision-mission statements of higher education institutions in Zimbabwe and the extent they foster a technological society for sustainable development [article]

Vincent Alec Mnkandla, Smile Dube, Isaiah M. Sibanda, Mabhena Mpofu, Patrick Ngulube, Lawton Hikwa, Similo S. Tizora, Stanley Mpofu, Samson Mtisi, Elizabeth Kabasa, Unity Chipunza, Gloria Kadyamatimba (+3 others)
2017 Zenodo  
Enumerative content analysis and the QCA program were used in the presentation and analysis of the data by method of verification per footprint.  ...  The study built the footprints conceptual model based on the statements of 34 tertiary institutions.  ...  In the final analysis, a highly irresistible QA was the most sought-after variable.  ... 
doi:10.5281/zenodo.2554073 fatcat:57e3ydatcrgu7bvl6tnjvmd364

Deep Learning and Big Data in Healthcare: A Double Review for Critical Beginners

Luis Bote-Curiel, Sergio Muñoz-Romero, Alicia Gerrero-Curieses, José Luis Rojo-Álvarez
2019 Applied Sciences  
In this double review, we aim to shed some light on the current state of these different, yet somehow related branches of Data Science, in order to understand the current state and future evolution within  ...  Nowadays, two of the most common terms heard in scientific circles are Big Data and Deep Learning.  ...  Second, they usually include a variety of Data Science tasks, such as Data Mining, Statistical Analysis, ML, Real-Time Visualization, or In-Memory Analysis.  ... 
doi:10.3390/app9112331 fatcat:3szr5juksvhafnn2odfkmvrqni

Learning Analytics in Massive Open Online Courses [article]

Mohammad Khalil
2018 arXiv   pre-print
The primary research of this dissertation focuses on the integration of learning analytics in MOOCs, and thereafter looks into examining students' behavior on one side and bridging MOOC issues on the other  ...  The main contributions incorporate designing a general learning analytics framework, learning analytics prototype, records of students' behavior in nearly every MOOC's variables (discussion forums, interactions  ...  , factor analysis, and domain structure discovery), 3) relationship mining (i.e., association rule mining, sequential pattern mining, correlation mining, causal data mining), and 4) discovery with models  ... 
arXiv:1802.09344v1 fatcat:w42m2vuoibezpig5wewuh6so2i

Competitive Moves: The Influence of Industry Context and Individual Cognitive Factors

Lee J. Zane, William Kline
2017 Entrepreneurship Research Journal  
AbstractBusinesses compete in markets with significant uncertainty and choose disparate competitive strategies. Some attack while others appear to wait.  ...  We argue that the speed and intensity with which entrepreneurs conduct competitive activities are contingent on both their perceptions of the environment and their level of certain cognitive biases.  ...  rated highly on these attributes.  ... 
doi:10.1515/erj-2015-0037 fatcat:7tsosyzt6ffuhjmikxxmsmyc7i

Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition Applications [article]

Giorgio Roffo
2017 arXiv   pre-print
Moreover, in real-time systems (e.g., visual trackers) ranking approaches are used as optimization procedures which improve the robustness of the system that deals with the high variability of the image  ...  For example, in pattern classification tasks, different data representations can complicate and hide the different explanatory factors of variation behind the data.  ...  Variable ranking might also be performed in order to help in handling data variability by improving performance in real-time settings.  ... 
arXiv:1706.05933v1 fatcat:oc4xtmyqkvf4njpqsojewv75qu

International Research Conference on Smart Computing and Systems Engineering SCSE 2020 Proceedings [Full Conference Proceedings]

2020 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE)  
in the University of Kelaniya for their immense support and encouragement they gave throughout the development phase of the data sets.  ...  ACKNOWLEDGMENT The authors would like to thank the Department of Census and Department of Irrigation, Sri Lanka for providing the paddy yield and climate data for this study.  ...  Later, the keywords are inferred using the Apriori technique which is generally used for frequent itemset mining and association rule learning [2, 14, 15] .  ... 
doi:10.1109/scse49731.2020.9313027 fatcat:gjk5az2mprgvrpallwh6uhvlfi

Regulatory Analytics and Data Architecture (RADAR)

Kingsley Jones
2015 Social Science Research Network  
The challenges to progress are enumerated in the context of developing a view on the Politics of Data, and the emerging Political Economy of Data, as these relate to the ever present frictions between  ...  Rapid developments in cloud computing and data science have significantly reduced the cost and expanded the scope of possible analytics in the practise of financial regulation.  ...  in the financial sector funded by the Commonwealth and NSW Governments and supported by other consortium members (see www.cifr.edu).  ... 
doi:10.2139/ssrn.2628939 fatcat:picudx6dnnd2niaamjqmftgwaq

Patient-generated evidence in Epidermolysis Bullosa (EB): Development of a questionnaire to assess the Quality of Life [chapter]

Laura Benedan, May El Hachem, Carlotta Galeone, Paolo Mariani, Cinzia Pilo, Gianluca Tadini
2021 Proceedings e report  
Although there are different types of EB, which differ in severity, their signs and symptoms overlap.  ...  A multidisciplinary panel (including patients, caregivers, and clinicians) actively participated in round tables to discuss the main areas of interest.  ...  Alessandra Petrucci is Professor of Social Statistics and she holds a PhD in Applied Statistics.  ... 
doi:10.36253/978-88-5518-461-8.38 fatcat:2yp72egbhrcvxng7avqoskbpse

Work Method & Facilities Analysis With Ergonomics Approach On Valve Assembly

Nanang Alamsyah, Sanusi, Afdal Hamdani
2017 Zenodo  
For jobs that require suppression with robust, high working basis is 15-40 cm below elbow height stand. 2. Positioning work Working position stand also has both advantages and disadvantages.  ...  Stance is the standby attitude both physically and mentally, so that the activities of the work done faster, stronger and thorough.  ...  Besides that, the coefficient of determination, that represent as R2, is the proportion of variance in dependent variable associated with the variability in independent variables.  ... 
doi:10.5281/zenodo.1475467 fatcat:xghn7rthv5aehpib7tobqt2bcy
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