Search Results - subject_exact:"Data quality"

Improving the sampling strategy for the community innovation survey using machine learning algorithms

Klingwort, Jonas; Berkel, Kees van; Brakel, Jan A. van den - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015619569

Mission possible : the collection of high-quality data

Çelebi, Can; Exley, Christine L.; Harrs, Sören; … - 2026

Absent high-quality online data, research questions would be constrained conceptually and in study populations. To inform the debate about online data quality, this paper provides empirical evidence that compares data quality of responses from online participants, AI agents, and human subjects...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015614354

Epistemic capital and two-trap growth in the AI era

Nguyen, Manh-Hung - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015614463

Effects of embodied interviewing agents on open narrative responses

Höhne, Jan Karem; Neuert, Cornelia Eva Lilian; … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015574135

Improving survey quality using paradata : lessons from a field survey in India

Goel, Deepti; Abraham, Rosa - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015373745

Self-healing databases for emergency response logistics in remote and infrastructure-poor settings

McGarvey, James; Grabowski, Martha R.; Custard, Buddy; … - 2025

Background: Accurate, real-time data about response technologies, capabilities, and availabilities are key to effective emergency response logistics; this is particularly important in remote settings, such as in the Arctic, where limited infrastructure, logistics, and technologies occasion the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015337501

Harnessing AI for accounting integrity : innovations in fraud detection and prevention

Dulgeridis, Marcel; Schubart, Constantin; Dulgeridis, … - 2025

Accounting fraud poses significant financial and reputational risks for organizations. Traditional detection methods - such as manual audits and red-flag indicators - struggle to keep pace with the growing volume and complexity of financial data. In contrast, artificial intelligence...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015422051

Natural language processing algorithms to improve digital marketing data quality and its ethical implications

Pons, Sergi; Huertas-Garcia, Ruben; Lengler, Jorge; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015464098

Applying artificial intelligence to support regulatory reporting management : the experience at Banca d'Italia

Benedetto, Canio; Crestini, Sara; De Gregorio, Alessandro; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015408816

Evidence-based policies and data quality : what is missing?

Münnich, Ralf T. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015431780

Bots in web survey interviews : a showcase

Höhne, Jan Karem; Claassen, Joshua; Shahania, Saijal; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015562792

Data quality and representativeness of older respondents in the HILDA Survey

Watson, Nicole; Nesa, Mossamet Kamrun - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015562957

Intergenerational educational mobility among immigrants and descendants in Denmark : the role of sample selectivity and data quality

Landersø, Rasmus; Karlson, Kristian B. - 2025

This paper studies intergenerational educational mobility among immigrants and descendants in Denmark for cohorts born between 1965 and 1990. At first glance, the data suggests that immigrants experience higher mobility than native Danes, but this pattern is driven by low coverage and poor data...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015549744

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Intergenerational educational mobility among immigrants and descendants in Denmark : the role of sample selectivity and data quality

Landersø, Rasmus; Karlson, Kristian B. - 2025

Book / Working Paper

EMIR data analytics for research, financial stability and supervision

2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015475258

Photos requests in surveys : comparing in-the-moment and conventional approaches

Ochoa, Carlos; Revilla, Melanie - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015573316

Methodological recommendations on the measurement of the quality of household survey figures

2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015154349

The evolution of the supervisory reporting framework for the EU banking sector

Poloni, Paolo - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015199470

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The evolution of the supervisory reporting framework for the EU banking sector

Poloni, Paolo - 2024

Book / Working Paper

Modelling cognitive response patterns to survey questions using the class of CUB models

Capecchi, Stefania; Gambacorta, Romina; Simone, Rosaria; … - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015179818

Introducing the validation of data quality indicators through re-classification : the example of SQP and pretest surveys

Neuert, Cornelia Eva Lilian; Gummer, Tobias - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015562428

The Effect of Survey Mode on Data Quality : Experimental Evidence from Nigeria

Markhof, Yannick; Castaing, Pauline; Contreras, Ivette; … - 2026

This paper uses a large-scale experiment in rural Nigeria to study the role of survey mode—in-person versus over the phone—in survey measurement and data quality. The experimental design isolates mode effects from other common sources of errors in surveys and covers 20 outcome measures...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015613914

Socioeconomic Data on Fisheries Workers : Availability and Strategies for Better Data Quality

Migliaccio, Emanuela; Nico, Gianluigi - 2026

This technical note examines the current landscape and key challenges in collecting high-quality socioeconomic data on fisheries workers and their households. Recognizing the critical role of fisheries and aquaculture in global food security, nutrition, and employment, the note highlights data...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015613919

The impact of prudential reporting distortions : time to prioritize data integrity

Bouëtiez, Jean du - 2026

Consistent reporting of supervisory information by individual credit institutions is paramount for the integrity of the data that underpins sound financial information and regulatory capital and liquidity requirements. In this context, recent findings of severe inconsistencies in sectoral...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015644372

How many people are employed in South Africa?

Kerr, Andrew; Thornton, Amy; Wachira, Peris - 2026

One of South Africa's biggest problems is that so many people lack employment. The main labour market survey in South Africa used by economists and policymakers is the Quarterly Labour Force Survey conducted by Statistics South Africa. Other surveys measuring employment include the General...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015651834

Private firm accounting : the European reporting environment, data and research perspectives

Beuselinck, Christof; Elfers, Ferdinand; Gassen, Joachim; … - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013484684

Is Google Trends a quality data source?

Cebrián, Eduardo; Domenech, Josep - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013554014

Micro data on robots from the IAB Establishment Panel

Plümpe, Verena; Stegmaier, Jens - 2023

Micro-data on robots have been very sparse in Germany so far. Consequently, a dedicated section has been introduced in the IAB Establishment Panel 2019 that includes questions on the number and type of robots used. This article describes the background and development of the survey questions,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014514112

Handling missing values in information systems research : a review of methods and assumptions

Peng, Jiaxu; Hahn, Jungpil; Huang, Ke-Wei - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014323272

Error spotting with gradient boosting : a machine learning-based application for central bank data quality

Burger, Csaba; Berndt, Mihály - 2023

Supervised machine learning methods, in which no error labels are present, are increasingly popular methods for identifying potential data errors. Such algorithms rely on the tenet of a 'ground truth' in the data, which in other words assumes correctness in the majority of the cases. Points...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014283565

Understanding Society : the income data

Fisher, Paul; Hussein, Omar Mohsen - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014476833

Aspect-based currency of customer reviews: A novel probability-based metric to pave the way for data quality-aware decision-making

Hägele, Lukas; Klier, Mathias; Moestue, Lars; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015409087

Harnessing AI for accounting integrity: Innovations in fraud detection and prevention

Dulgeridis, Marcel; Schubart, Constantin; Dulgeridis, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015427144

Vergleich von Record-Linkage-Methoden anhand der Mikrosimulation eines bundesweiten Bildungsverlaufsregisters

Weiand, Severin V. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015446862

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Vergleich von Record-Linkage-Methoden anhand der Mikrosimulation eines bundesweiten Bildungsverlaufsregisters

Weiand, Severin - 2025

Article

CASMIN Versus ISCED: Validating Standard Education Variables for German Microdata

Schneider, Silke L.; Palm, Lennart; Partsch, Melanie V. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015472932

Digitalisierung und Vernetzung als Schlüsselfaktor für nachhaltige Mobilität

Anke, Jürgen; Knoll, Matthias - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015508933

Intergenerational Educational Mobility Among Immigrants and Descendants in Denmark: The Role of Sample Selectivity and Data Quality

Landersø, Rasmus; Karlson, Kristian B. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015562715

Not feeling the buzz : correction study of mispricing and inefficiency in online sportsbooks

Clegg, Lawrence; Cartlidge, John - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015440675

Evaluation of the annual reports for data collection and data transmission issues from 2023 (STECF-24-08)

2025

Commission Decision of 25 February 2016 setting up a Scientific, Technical and Economic Committee for Fisheries, C(2016) 1084, OJ C 74, 26.2.2016, p. 4-10. The Commission may consult the group on any matter relating to marine and fisheries biology, fishing gear technology, fisheries economics,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015322871

Observation-driven hierarchical density models for missing data imputation

Khanna, Yonas; Lucas, André - 2025

We propose an observation-driven dynamic common factor model for missing value imputation in high-dimensional panel data. The model exploits both serial and cross-sectional information in the data and can easily cope with time-variation in conditional means and variances, as well as with either...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015373862

The sources of researcher variation in economics

Huntington-Klein, Nick; Pörtner, Claus Chr. - 2025

We use a rigorous three-stage many-analysts design to assess how different researcher decisions-specifically data cleaning, research design, and the interpretation of a policy question-affect the variation in estimated treatment effects. A total of 146 research teams each completed the same...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015272997

Data quality aspects for location‐tracking in smart travel and mobility surveys

Gootzen, Yvonne; Klingwort, Jonas; Schouten, Barry - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015417721

A shadow-based framework for label noise detection and data quality enhancement

Zheng, Wanwan - 2025

Machine learning algorithms are typically evaluated using benchmark datasets under the assumption that these datasets are clean. However, recent studies have revealed the presence of label noise in many benchmark datasets, indicating a biased evaluation to date. Confident learning (CL), an...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420492

The inequality (or the growth) we measure : data gaps and the distribution of incomes

Alvaredo, Facundo; Rosa, Mauricio de; Flores, Ignacio; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015423561

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The inequality (or the growth) we measure : data gaps and the distribution of incomes

Alvaredo, Facundo; Rosa, Mauricio de; Beale, Ignacio Flores - 2022

Book / Working Paper

Malawi : Technical Assistance Report-Report on Data Quality Assessment for Public Sector Debt Statistics Mission (January 29-February 4, 2025)

2025

This report discusses the findings and recommendations of a diagnostic assessment of the quality of public sector debt statistics (PSDS) of Malawi based on the IMF's Data Quality Assessment Framework for PSDS. The assessment was undertaken in February 2025 as part of a project to strengthen the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015452055

Malawi : Data Quality Assessment for Public Sector Debt Statistics

Kitili, Andrew - 2025

In January/February 2025, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of Malawi against the IMF's Data Quality Assessment Framework (DQAF) for PSDS. The mission was undertaken as part of a project to strengthen the quality of public sector debt in...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015452058

Zimbabwe : Data Quality Assessment for Public Sector Debt Statistics

Kitili, Andrew - 2025

In February 2025, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of the Republic of Zimbabwe against the IMF's Data Quality Assessment Framework (DQAF) for PSDS. The assessment was undertaken as part of a project to strengthen the quality of public...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015452207

Zimbabwe : Technical Assistance Report-Report on Data Quality Assessment for Public Sector Debt Statistics Mission (February 6-12, 2025)

2025

This report discusses the findings and recommendations of the 2025 assessment of the data quality of the public debt statistics of Zimbabwe against the IMF's Data Quality Assessment Framework (DQAF). The assessment was undertaken as part of a project to strengthen the quality of public sector...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015452212

Zambia : Technical Assistance Report-Report on Data Quality Assessment for Public Sector Debt Statistics (September 30-October 4, 2024)

2025

This report discusses the findings and recommendations of the 2024 assessment of the data quality of the public sector debt statistics (PSDS) of the Republic of Zambia against the IMF's Data Quality Assessment Framework (DQAF) for PSDS. The assessment was undertaken as part of a project to...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015411373

United Republic of Tanzania : Technical Assistance Report-Report on Data Quality Assessment for Public Sector Debt Statistics (September 23-27, 2024)

2025

This report discusses the findings and recommendations of the 2024 assessment of the data quality of the public sector debt statistics (PSDS) of the United Republic of Tanzania against the IMF's Data Quality Assessment Framework (DQAF) for PSDS. The assessment was undertaken as part of a project...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015411374

Overcoming poor data quality : optimizing validation of precedence relation data

Finnah, Benedikt; Gönsch, Jochen; Otto, Alena - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015412219

Air quality monitoring for air quality policy : technical support document on the use of reference and non-reference methods, and on the quality assurance process to meet relevant data quality objectives for regulated air pollutants : final version

2025

This document provides technical details and support for the implementation of air quality monitoring under the Directive (EU) 2024/2881 of the European Parliament and of the Council of 23 October 2024 on ambient air quality and cleaner air for Europe (recast) (AAQD, Directive (EU) 2024/2881)....

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015430616