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Machine Learning in Official Statistics [article]

Martin Beck, Florian Dumpert, Joerg Feuerhake
2018 arXiv   pre-print
It was of particular interest to find out in which statistical areas and for which tasks machine learning is used and which methods are applied.  ...  A major component of this was surveys on the use of machine learning methods in official statistics, which were conducted at selected national and international statistical institutions and among the divisions  ...  Economic activities are provided by various data providers in the non-financial individual accounts statistics of the Deutsche Bundesbank.  ... 
arXiv:1812.10422v1 fatcat:qpuvfdzbevcfxgdd7pmq2ifhmi

The Fintech Sensation - What is it about?

2022 Journal of International Business and Management  
The basis for the dynamic development in this phase are new technologies, e.g. artificial intelligence (AI) and machine learning, databases (Big Data), distributed computing, cryptography, and mobile Internet  ...  However, the Deutsche Bundesbank (n.d.) and also the OECD (2018) state that the reference to start-ups does not have to be a prerequisite.  ...  Here, neologism means the integration of technology into the offerings of financial services companies to improve their use and delivery to consumers.  ... 
doi:10.37227/jibm-2021-11-2094 fatcat:cohvvfpvibggneefbmh3phqxxm

Social networking data analysis tools & challenges

Androniki Sapountzi, Kostas E. Psannis
2018 Future generations computer systems  
In response to this chaotic emerging science of social data, this paper provides a sophisticated classification of state-of the-art frameworks considering the diversity of practices, methods and techniques  ...  Online Social Network's (OSN) considered a spark that burst the Big Data era.  ...  This tool has been in the market for 20 years and has enhanced its features justifying the extensive use both in academic research and in well-known companies such as Deutsche Bundesbank and Volkswagen  ... 
doi:10.1016/j.future.2016.10.019 fatcat:cqlp423pv5heplujb63qo7c6yq

The effect of self-construals on perceptions of organizational events

Andre A. Pekerti, Catherine T. Kwantes
2011 International Journal of Cross Cultural Management  
The hypotheses are tested based on major survey data on all companies listed on the Taiwanese stock exchange.  ...  , and introduces an extension which uses more advanced taxonomically appropriate methodologies, already common in fields such as machine learning and information retrieval.  ... 
doi:10.1177/1470595811413101 fatcat:asw7n5gb3rd2vg4t4bhummbvfu

Credit Bureaus Between Risk-Management, Creditworthiness Assessment and Prudential Supervision

Federico Ferretti
2015 Social Science Research Network  
Across Europe there is no common practice of sharing the credit data of consumers which can be used for several purposes.  ...  This is also because fundamental rights and consumer protection concerns arise from the sharing of credit data and their expanding use.  ...  They involve data mining techniques which include statistics, artificial intelligence, machine learning, and other fields aiming at getting knowledge from large databases. 30 Scoring has been subject to  ... 
doi:10.2139/ssrn.2610142 fatcat:u3zxq4zxxzdmhhhpzl3gvjjxrm

Abstracts of Working Papers in Economics

1998 Abstracts of Working Papers in Economics  
The model is used to investigate whether adding these new features affects simulation results.  ...  This paper describes a 23-sector CGE model of the Australian economy, based on ORANI and on Horridge (1987a and 1987b), which incorporates economies of scale and imperfect competition.  ...  In addition, standard long-horizon test used for testing this underperformance have been shown to be biased.  ... 
doi:10.1017/s0951007900003715 fatcat:v7mqbbzwkveqpbazcolpnziqqi

Institutions and the Evolution of Modern Business. Edited by Mark Casson and Mary B. Rose. London: Frank Cass, 1998. Pp. 184. $42.50, cloth; $19.50, paper

Margaret Levenstein
2001 Journal of Economic History  
This is a careful and useful descriptive study. It holds few surprises.  ...  It is based on a rare collection of 46 account books from small tradesmen in the archives of Prato, a town better known for the extraordinarily rich archive of business and personal records left by the  ...  Fifty Years of the Deutsche Mark: Central Bank and the Currency in Germany since 1948. Edited by the Deutsche Bundesbank. Oxford: Oxford University Press, 1999. Pp. xxvi, 836. $90.00.  ... 
doi:10.1017/s0022050701613172 fatcat:nbbpp34kbffynmuol4gi32fgku

THE ROLE OF PERSONAL INCOME TAX REFORMS IN THE TRANSITION TO A DEMOCRATIC AND EGALITARIAN EGYPT

Monal A. Abdel-Baki, Nirmala Dorasamy
2012 Corporate Ownership and Control  
Abstract The efficacy of the 2005-Personal Income Tax (PIT) reform in enhancing the macroeconomic performance in Egypt is tested using a structural vector autoregressive model.  ...  assumptions for a workable principle based legislation.  ...  Methodology According to an official classification provided by the Deutsche Bundesbank nine different banking groups are defined within the German banking industry. 1 Ideally, those German banks being  ... 
doi:10.22495/cocv9i2c4art1 fatcat:xeg3bv2jibh3lhgt67lcxid57a

Cloudy with a Chance of Taxation

Rifat Azam, Orly Mazur
2019 Florida Tax Review  
Wayfair and the growing number of US. businesses transacting overseas in jurisdictions that impose value-added taxes (VATs).  ...  The borderless, anonymous, and digital nature of cloud computing raises questions about the paradigm used to determine the character of the transaction and the location where consumption, and therefore  ...  One approach is to extend the use of the registration method to B2B transactions.  ... 
doi:10.5744/ftr.2019.1003 fatcat:67buz4pmnjhvrazz62ctvncisy

Abstracts of Working Papers in Economics

2001 Abstracts of Working Papers in Economics  
AB We extend Spulber's (1996a) search model with buyers, sellers, and price setting dealers to include a fourth type of agent, market makers.  ...  Managers' compensation can be based on noisy measures of product-line profits. Measures of a functional area's contribution to total profits are not available, however.  ...  Replicating US studies using data from a large German panel data set (GSOEP), we find no evidence for the employer learning hypothesis for Germany.  ... 
doi:10.1017/s0951007900005441 fatcat:t6dkdz4vfzcdhekrmsa2yjmjfm

Abstracts of Working Papers in Economics

2001 Abstracts of Working Papers in Economics  
diophanine equations using basis reduction.  ...  The second topic concerns augmentation algorithms and test sets, including the role played by Hilbert and Grobner bases in the development of a primal approach to solve a family of problems for all righthand  ...  Using linear regression and probit models, we extend the range of previous analysis in a manner that reveals new patterns in the behavior of the asymptotic version of the IM test -particularly with respect  ... 
doi:10.1017/s0951007900005210 fatcat:veyvhaf3tjdwphmwkmo64q43fy

Marketplace Lending as a New Means of Raising Capital in the Internal Market: True Disintermediation or Reintermediation? [chapter]

Eugenia Macchiavello, Antonella Sciarrone Alibrandi
2021 Digital Finance in Europe: Law, Regulation, and Governance  
and Machine Learn- ing in Fintech Lending: Evidence from the LendingClub consumer platform’, Financial Manage- ment 48 (2019) 1009; Nikita Aggarwal, ‘Machine Learning, Big Data and the Regulation of Con  ...  The Effects of Machine Learning on Credit Markets’ (March 11, 2020), <https://ssrn.com/abstract=3072038>.  The Swedish platform TrustBuddy went into administration in October 2015 and has been investigated  ... 
doi:10.1515/9783110749472-003 fatcat:x7ejhuhfd5emhdz7metasvapjy

Asset Clusters and Asset Networks in Financial Risk Management and Portfolio Optimization

Jochen Papenbrock
2011
Approaches to Clustering Custer analysis is a multivariate statistical data analysis used in many fields, including machine learning, data mining, pattern recognition, and bioinformatics.  ...  Various machine learning algorithms have been developed for data analysis and decomposition problems such as regression, ranking, classification, clustering, factor modelling, dimension reduction, feature  ... 
doi:10.5445/ir/1000025469 fatcat:kvfhbzvamngfviaoxpcmsjasze

Abstracts of Working Papers in Economics

1995 Abstracts of Working Papers in Economics  
AB This paper shows that the output losses from energy taxes are significantly larger than usually computed when due account is taken of imperfect competition among energy using firms.  ...  observers relate tough times for workers to a trinity of labor market factors: (1) uncontrolled entry of new immigrants into the market, (2) decline of union membership and effectiveness, and (3) expanded use  ...  TI Panel Data: Controlling for Individual Effects in Models of Learning. AU Gilby, Elaine M.; Link. Charles R.; Mulligan, James G. PD December 1993.  ... 
doi:10.1017/s0951007900004381 fatcat:d4t7i55jonfuvlgsawqm7ehxhy

Abstracts of Working Papers in Economics

2002 Abstracts of Working Papers in Economics  
Since IUCRCs depend on industry support we expect them to further the research of member companies. Our findings suggest that IUCRCs promote industry-university technology transfer.  ...  We use a quantitative general equilibrium model to investigate whether this effect is comparable in magnitude to the standard moral hazard effects of unemployment insurance.  ...  Cooperation in this field is based on a regional treaty, the Convention on the Protection of the Mediterranean Sea against Pollution, and its relevant protocols.  ... 
doi:10.1017/s095100790000557x fatcat:g7kxk7aghnf6dkpsqnvz3v2kgq
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