Relevant bibliographies by topics / Data-Driven Markets

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data-Driven Markets'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Data-Driven Markets"

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Helbich, Marco, Wolfgang Brunauer, Julian Hagenauer, and Michael Leitner. "Data-Driven Regionalization of Housing Markets." Annals of the Association of American Geographers 103, no. 4 (2013): 871–89. http://dx.doi.org/10.1080/00045608.2012.707587.

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Dinter, Barbara, and Jan Krämer. "Data-driven innovations in electronic markets." Electronic Markets 28, no. 4 (2018): 403–5. http://dx.doi.org/10.1007/s12525-018-0316-3.

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Selz, Dorian. "From electronic markets to data driven insights." Electronic Markets 30, no. 1 (2020): 57–59. http://dx.doi.org/10.1007/s12525-019-00393-4.

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Kathuria, Vikas. "Greed for data and exclusionary conduct in data-driven markets." Computer Law & Security Review 35, no. 1 (2019): 89–102. http://dx.doi.org/10.1016/j.clsr.2018.12.001.

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Trenevska Blagoeva, Kalina, and Marina Mijoska Belsoska. "DEVELOPING DATA DRIVEN PRODUCTS IN THE EMERGING MARKETS." KNOWLEDGE INTERNATIONAL JOURNAL 30, no. 1 (2019): 197–202. http://dx.doi.org/10.35120/kij3001197t.

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The expansion of the digital economy and the rapid developments of technology induced the creation of new products and industries and drove a significant increase in data resources. The information products industry, including products based on data, information and knowledge, is intensely dynamic in terms of growth and the pace of new product introduction. The complexity in the variety of product offerings and the number of firms offering those products in this industry is increasing exponentially every day. Data-driven innovation forms a key pillar in the 21 century sources of growth. Large
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Talekar, P. R. "Data-Driven Marketing: Leveraging Data for Targeted Marketing Success." International Journal of Advance and Applied Research 5, no. 10 (2024): 29–31. https://doi.org/10.5281/zenodo.11298367.

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Data-driven marketing gathers and builds strategies based on big data to inform marketing decisions and personalize the customer experience. Now, in today’s digital world businesses have access to extensive amounts of data from various sources including customer interactions, Online behavior demographic information, and market trends harnessing this data through advanced analytics and technology markets can acquire a profound perception of targeted audiences, and create more personalized, relevant, and impactful campaigns. A data-driven media arrangement is now assisted by the massi
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Chiang, Wen-Yu. "Establishing high value markets for data-driven customer relationship management systems." Kybernetes 48, no. 3 (2019): 650–62. http://dx.doi.org/10.1108/k-10-2017-0357.

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PurposeOnline customer relationship management (CRM) is an important issue for implementing digital marketing of electronic commerce or social commerce. The purpose of this study is to establish valuable markets for discovering customer knowledge from data-driven CRM systems for enhancing growth rates of businesses. Airline or travel agency industries are online businesses in the world. Therefore, the industries in Taiwan will be an empirical case for this study.Design/methodology/approachThis research applied a procedure with an applied proposed model for establishing valuable markets from da
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Ritala, Paavo, Joona Keränen, Jessica Fishburn, and Mika Ruokonen. "Selling and monetizing data in B2B markets: Four data-driven value propositions." Technovation 130 (February 2024): 102935. http://dx.doi.org/10.1016/j.technovation.2023.102935.

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Woźniak-Cichuta, Monika. "Digital Data-Driven Mergers: Is a Data-Sharing Remedy a Panacea?" Yearbook of Antitrust and Regulatory Studies 17, no. 29 (2024): 9–48. http://dx.doi.org/10.7172/1689-9024.yars.2024.17.29.1.

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The article contributes to the current debate on the interplay between the data economy and competition law. First, on the basis of theories of harm related to datadriven merger, it is stated that such transactions require a particular assessment in merger control proceedings, rather than having them cleared unconditionally during phase 1. Such examination should take into consideration data-induced market power, not necessarily related to traditionally defined relevant markets. Therefore, it is postulated to take an ecosystem perspective on harm stemming from digital data-driven mergers. Seco
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Paredes, Jose, Gerardo Simari, Maria Martinez, and Marcelo Falappa. "First Steps towards Data-Driven Adversarial Deduplication." Information 9, no. 8 (2018): 189. http://dx.doi.org/10.3390/info9080189.

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In traditional databases, the entity resolution problem (which is also known as deduplication) refers to the task of mapping multiple manifestations of virtual objects to their corresponding real-world entities. When addressing this problem, in both theory and practice, it is widely assumed that such sets of virtual objects appear as the result of clerical errors, transliterations, missing or updated attributes, abbreviations, and so forth. In this paper, we address this problem under the assumption that this situation is caused by malicious actors operating in domains in which they do not wis
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Dissertations / Theses on the topic "Data-Driven Markets"

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Macias, Lloret Mario. "Business-driven resource allocation and management for data centres in cloud computing markets." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/144562.

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Cloud Computing markets arise as an efficient way to allocate resources for the execution of tasks and services within a set of geographically dispersed providers from different organisations. Client applications and service providers meet in a market and negotiate for the sales of services by means of the signature of a Service Level Agreement that contains the Quality of Service terms that the Cloud provider has to guarantee by managing properly its resources. Current implementations of Cloud markets suffer from a lack of information flow between the negotiating agents, which sell the resou
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Carriere, Thomas. "Towards seamless value-oriented forecasting and data-driven market valorisation of photovoltaic production." Thesis, Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLM019.

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La décarbonation de la production d’électricité à échelle mondiale est un élément de réponse clé face aux pressions exercées par les différents enjeux environnementaux. Par ailleurs, la baisse des coûts de la filière photovoltaïque (PV) ouvre la voie à une augmentation significative de la production PV dans le monde. L’objectif principal de cette thèse est alors de maximiser le revenu d’un producteur d’énergie PV sous incertitude des prix de marché et de la production. Pour cela, un modèle de prévision probabiliste de la production PV à court (5 minutes) et moyen (24 heures) terme est proposé.
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Törngren, Oskar. "Mergers in big data-driven markets : is the dimension of privacy and protection of personal data something to consider in the merger review?" Thesis, Stockholms universitet, Juridiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-153509.

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Mandl, Christian [Verfasser], Stefan [Akademischer Betreuer] Minner, Stefan [Gutachter] Minner, and Srinagesh [Gutachter] Gavirneni. "Optimal Procurement and Inventory Control in Volatile Commodity Markets : Advances in Stochastic and Data-Driven Optimization / Christian Mandl ; Gutachter: Stefan Minner, Srinagesh Gavirneni ; Betreuer: Stefan Minner." München : Universitätsbibliothek der TU München, 2019. http://d-nb.info/1190818779/34.

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Schaubhut, Geoffrey J. "Markers Of Alcohol Use Disorder Outpatient Treatment Outcome: Prediction Modeling Of Day One Treatment." ScholarWorks @ UVM, 2020. https://scholarworks.uvm.edu/graddis/1120.

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ABSTRACT Background: Alcohol use disorders (AUD) affect health and wellbeing, and have broad societal costs (Bouchery, Harwood, Sacks, Simon, & Brewer, 2011; Rehm et al., 2009; Sudhinaraset, Wigglesworth, Takeuchi, & Tsuker, 2016). While treatments have existed for decades, they are limited in success and expensive to administer. As such, understanding which factors best predict who will benefit most from treatment remains a laudable goal. Prior attempts to predict factors associated with positive treatment outcome are limited by methodology including statistical methods that lead to poor pred
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Dikshit, Anubhav. "Omnichannel path to purchase : Viability of Bayesian Network as Market Attribution Models." Thesis, Linköpings universitet, Filosofiska fakulteten, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165443.

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Market attribution is the problem of interpreting the influence of advertisements onthe user’s decision process. Market attribution is a hard problem, and it happens to be asignificant reason for Google’s revenue. There are broadly two types of attribution models- data-driven and heuristics.This thesis focuses on the data driven attribution modeland explores the viability of using Bayesian Network as market attribution models andbenchmarks the performance against a logistic regression. The data used in this thesiswas prepossessed using undersampling technique. Furthermore, multiple techniques
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Garrido, Fernández Aurora. "Towards transport futures using mobile data analytics : Stakeholder identification in the city of Stockholm." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240604.

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The use of big data in urban transport planning is unstoppably gaining momentum and with the help of strategic business partnerships and technological advancements (e.g. transport apps, mobile device location tracking, data processing) the new mobility models are evolving towards an integrated and multimodal urban mobility: Mobility as a Service (MaaS). From the generation of data by Telecom companies to transport end users, a broad range of stakeholders are involved in the data market. This tighter with the call for sustainable alternatives in passenger traffic highlights that business relati
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BUCCI, Frederic. "Market impact for large institutional investors: empirical evidences and theoretical models." Doctoral thesis, Scuola Normale Superiore, 2020. http://hdl.handle.net/11384/90464.

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Advances in technology have deeply changed the way how securities are traded. The introduction of new technologies has enabled exchanges to automate the majority of their trading operations, leading on one side to a considerable cost reductions and on the other side oering a full set of new possibilities for market participants. In parallel to this automation, also brokers, hedge funds, proprietary trading forms, and other market participants have profitted from these new technology approaches for automating a variety of tasks, from optimization of order execution to whole trading strate
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Teng, Sin Yong. "Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-433427.

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S tím, jak se neustále vyvíjejí nové technologie pro energeticky náročná průmyslová odvětví, stávající zařízení postupně zaostávají v efektivitě a produktivitě. Tvrdá konkurence na trhu a legislativa v oblasti životního prostředí nutí tato tradiční zařízení k ukončení provozu a k odstavení. Zlepšování procesu a projekty modernizace jsou zásadní v udržování provozních výkonů těchto zařízení. Současné přístupy pro zlepšování procesů jsou hlavně: integrace procesů, optimalizace procesů a intenzifikace procesů. Obecně se v těchto oblastech využívá matematické optimalizace, zkušeností řešitele a pr
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LI, JUN-XUE, and 李俊學. "New product advantages and market performance driven by data analysis." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/qz6q4n.

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碩士<br>正修科技大學<br>資訊管理研究所<br>107<br>With the rapid development of technology and shortened product life cycle, many companies hope to gain market advantages in the product development stage, but some developed products are failed products, That is to say, some new products produced by some companies cannot meet the needs of most consumers. In this failed experience, companies use customer-oriented methods to develop new products in order to meet customer needs, and in turn enhance the advantages of new products. Looking back at the relevant literature in the past, I found that the advantages of
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Books on the topic "Data-Driven Markets"

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Kilpatrick, Bruce, Pierre Kobel, and Pranvera Këllezi, eds. Antitrust in Data Driven Markets & Legal Framework for Influencers, Native Advertising and Control over the Use of AI in Marketing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-07422-6.

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Abergel, Frédéric, Hideaki Aoyama, Bikas K. Chakrabarti, Anirban Chakraborti, and Asim Ghosh, eds. Econophysics and Data Driven Modelling of Market Dynamics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08473-2.

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Bruijn, Hans. The Governance of Privacy. Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463729673.

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We can hardly underestimate the importance of privacy in our data-driven world. Privacy breaches are not just about disclosing information. Personal data is used to profile and manipulate us – sometimes on such a large scale that it affects society as a whole. What can governments do to protect our privacy? In The Governance of Privacy Hans de Bruijn first analyses the complexity of the governance challenge, using the metaphor of a journey. At the start, users have strong incentives to share data. Harvested data continue the journey that might lead to a privacy breach, but not necessarily – it
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Wang, Yi, Qixin Chen, Hongye Guo, and Kedi Zheng. Data Driven Analysis and Forecasting in Power Markets. Springer Singapore Pte. Limited, 2021.

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Kohl, Uta, and Jacob Eisler, eds. Data-Driven Personalisation in Markets, Politics and Law. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781108891325.

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Kohl, Uta, and Jacob Eisler. Data-Driven Personalisation in Markets, Politics and Law. University of Cambridge ESOL Examinations, 2021.

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Kohl, Uta, and Jacob Eisler. Data-Driven Personalisation in Markets, Politics and Law. University of Cambridge ESOL Examinations, 2021.

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Kohl, Uta, and Jacob Eisler. Data-Driven Personalisation in Markets, Politics and Law. Cambridge University Press, 2021.

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Kohl, Uta, and Jacob Eisler. Data-Driven Personalisation in Markets, Politics and Law. University of Cambridge ESOL Examinations, 2021.

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Këllezi, Pranvera, Bruce Kilpatrick, and Pierre Kobel. Antitrust in Data Driven Markets and Legal Framework for Influencers, Native Advertising and Control over the Use of AI in Marketing. Springer International Publishing AG, 2022.

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Book chapters on the topic "Data-Driven Markets"

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Koksal, Alptekin. "Abusive Behaviour in Data-Driven Markets." In Big Data and Competition Law. Routledge, 2023. http://dx.doi.org/10.4324/9781003458791-5.

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Koksal, Alptekin. "Assessment of Data-Related Market Power in Data-Driven Markets." In Big Data and Competition Law. Routledge, 2023. http://dx.doi.org/10.4324/9781003458791-4.

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Schnidman, Evan A., and William D. MacMillan. "Data-Driven Fed Watching: Comprehensive, Unbiased, and Quantitative." In How the Fed Moves Markets. Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/9781137432582_7.

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Zhong, Shaopeng, and Daniel Sun. "Spatiotemporal Evolution of Ridesourcing Markets Under the New Restriction Policy: A Case Study in Shanghai." In Logic-Driven Traffic Big Data Analytics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8016-8_3.

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Horváth, Máté, and Levente Buttyán. "Problem Domain Analysis of IoT-Driven Secure Data Markets." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95189-8_6.

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Peters, Markus, Wolfgang Ketter, Maytal Saar-Tsechansky, and John Collins. "Autonomous Data-Driven Decision-Making in Smart Electricity Markets." In Machine Learning and Knowledge Discovery in Databases. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33486-3_9.

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Nikouei, Mohammad Ali, Saeid Sadeghi Darvazeh, and Maghsoud Amiri. "Artificial Intelligence and Financial Markets in Smart Cities." In Data-Driven Mining, Learning and Analytics for Secured Smart Cities. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72139-8_15.

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Fast, Victoria, Daniel Schnurr, and Michael Wohlfarth. "Data-Driven Competitive Advantages in Digital Markets: An Overview of Data Value and Facilitating Factors." In Lecture Notes in Information Systems and Organisation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86800-0_31.

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Kočišová, Jana, Denis Horváth, Tomáš Kasanický, and Ján Buša. "Prediction of Financial Markets Using Agent-Based Modeling with Optimization Driven by Statistical Evaluation of Historical Data." In Mathematical Modeling and Computational Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28212-6_38.

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Lundqvist, Björn. "The Objectives of Regulating the Digital Economy Indicate That There Is a Right to Data in the Digital Markets Act with Direct Effect and Applicability." In European Union and its Neighbours in a Globalized World. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65381-0_3.

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AbstractThe chapter discusses the objectives for regulating the digital economy and why we should view the new regulations and acts being derived from the legislative work of the EU as the emergence of a new legal discipline, the market law for the digital economy, or, short, digital market law. The energy and speed with which EU institutions are developing these diverse (and sometimes dysfunctional) sector-specific regulations for the digital economy certainly call for a more holistic approach. A general approach to the legal system now being developed in a piecemeal fashion to protect a numb
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Conference papers on the topic "Data-Driven Markets"

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Zhang, Chenggang, Jian Liao, Yunhao Li, Beixi Zhang, Yuanzhe Li, and Jiaxing Li. "A Data-Driven Risk Identification and Early Warning Model for Electricity Spot Markets." In 2024 4th Power System and Green Energy Conference (PSGEC). IEEE, 2024. http://dx.doi.org/10.1109/psgec62376.2024.10721001.

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Wang, Jiayi, and Jiale Shao. "Machine Learning Approaches to Detecting Labor Market Monopoly in Platform Economy." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11065591.

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Ravanbach, Babak, Hrushikesh Mantri, Chaimaa Essayeh, and Samuel Matias. "Data-Driven Load Profile Forecasting for EV Charging Stations Leveraging Spatial Dependency Modeling." In 2025 21st International Conference on the European Energy Market (EEM). IEEE, 2025. https://doi.org/10.1109/eem64765.2025.11050235.

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P, Venkatesh, Rupak S, Keyas Ebenezar Robert, and Shakeel Ahamed E. "Optimizing Market Interventions a Data-Driven Approach to Price Stabilization." In 2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI). IEEE, 2025. https://doi.org/10.1109/icmsci62561.2025.10894621.

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Komanns, Christoph, Florian Maurer, Jonathan Sejdija, and Christian Jungbluth. "Open-Source Assessment of Peak Shaving Through Battery and Solar Power — a Data-Driven Approach." In 2025 21st International Conference on the European Energy Market (EEM). IEEE, 2025. https://doi.org/10.1109/eem64765.2025.11050159.

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Phatangare, Sheetal, Ayush Laddha, Shreya Bambal, Bharati Borhade, and Prasanna Atram. "A Data-Driven Approach to Crop Yield and Market Price Prediction." In 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2024. http://dx.doi.org/10.1109/i-smac61858.2024.10714807.

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Mizernaya, M. A., T. A. Oitseva, O. N. Kuzmina, T. M. Aitkazyyev, and Z. I. Chernenko. "ANALYSIS OF THE MINERAL RESOURCE OF KAZAKHSTAN." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/1.1/s01.02.

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The objective of this study is to conduct an in-depth analysis of the mineral resource base in Kazakhstan, specifically focusing on copper, zinc, lead, and gold, with the aim of identifying key determinants crucial for ensuring its sustainable development. The mineral resource sector serves as a cornerstone of Kazakhstan's economy and industrial landscape. This article seeks to elucidate the critical parameters defining its current state, placing particular emphasis on the presence and quality of mineral deposits. Furthermore, it encompasses a comprehensive examination of the technological adv
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P, Shrutha, Shobha Mary, Sayantika Sarkar, Thrisha Das, and Santhosh Kumar B.J. "A Data-Driven Market Analysis and Prototype Developement of an Assistive Device." In 2024 2nd International Conference on Networking, Embedded and Wireless Systems (ICNEWS). IEEE, 2024. http://dx.doi.org/10.1109/icnews60873.2024.10730998.

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Alifah, Amalia Nur, Regita Putri Permata, I. Made Wisnu Adi Sanjaya, Paramaditya Arismawati, and Wahyu Andy Prastyabudi. "Data-Driven Insights into High School Market Segmentation Using Multidimensional Clustering Approaches." In 2024 Beyond Technology Summit on Informatics International Conference (BTS-I2C). IEEE, 2024. https://doi.org/10.1109/bts-i2c63534.2024.10941845.

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Singh, Jaswinder, and Sneha Mishra. "Data-Driven Home Price Prediction: Leveraging Machine Learning for Accurate Market Valuation." In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET). IEEE, 2024. https://doi.org/10.1109/i3ceet61722.2024.10994003.

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Reports on the topic "Data-Driven Markets"

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Olarreaga, Marcelo, and Andreas Lendle. Can Online Markets Make Trade More Inclusive? Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0006985.

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Technology made available by online markets has signifcantly reducedthe cost of entry into international markets for small and medium sized firms, who can now reach far away consumers and create global reputation as a seller at very low costs. Empirical evidence using data from eBay sellers shows that a large share of online firms exports, even though they are on average much smaller than traditional offline firms. We show that in a world where income inequality is driven by an uneven distribution of capital rents, online markets help to reduce income inequality by providing smaller firms acce
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Pérez, Alex, and Juan Sebastián Vélez-Velásquez. Price Dispersion and Wholesale Costs Shocks in the Colombian Retail Gasoline Markets. Banco de la República Colombia, 2022. http://dx.doi.org/10.32468/be.1220.

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Price dispersion is a prevalent feature even of markets where, arguably, homogeneous good are traded. At the heart of the causes of price dispersion lie the firms' strategic interactions with their customers and rivals. Consumers' eagerness and ability to search for lower prices tends to reduce dispersion because it enhances competition. Firms inability to sustain tacit collusion, on the other hand, increases price dispersion. Wholesale costs shock can impact both. We use data on retail gasoline markets from Colombia to assess whether changes in price dispersion following wholesale cost shocks
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Levy Yeyati, Eduardo, and Jimena Zúñiga. Varieties of Capital Flows: What Do We Know? Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0007017.

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Capital flows have been the subject of acute policy concern since the Brady plan launched the emerging markets bond asset class. Their massive volume, coupled with their volatile and procyclical nature, is often associated with a variety of financial and real risks, which have changed over time. While emerging market crises in the 1990s and 2000s were inherently driven by financial dollarization and balance sheet effects, financial dollarization has receded in emerging markets and the focus has shifted to the macroeconomic effects of cross-market flows, including extended periods of exchange r
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Cristia, Julian P., and Paulo Bastos. Entry and Quality Choices in Child Care Markets. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0011186.

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Many developing countries have adopted the market approach for expanding the supply of child care, but little is known about the economic behavior of independent providers. This paper draws on uniquely rich administrative data on child care centers and their inputs from São Paulo to examine the role of local household income in shaping the entry and quality choices of private suppliers. It documents three main facts: (1) entry rates are considerably higher in high-income districts; (2) the quality of provision as measured by teachers¿ schooling, group size and equipment is highly heterogeneous
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Winseck, Dwayne. Growth and Upheaval in the Network Media Economy in Canada, 1984-2021. Canadian Media Concentration Research Project (CMCRP), 2022. http://dx.doi.org/10.22215/gmicp/2022.01.

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The Canadian contribution and data set prepared as part of the Global Media and Internet Concentration (GMIC) project offers an independent academic, empirical and data-driven analysis of a deceptively simple yet profoundly important question: have telecom, media and internet markets become more concentrated over time, or less? Media Ownership and Concentration is presented from more than a dozen sectors of the telecom-media-internet industries, including film, music and book industries.
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Botero-Ramírez, Oscar, Andrés Murcia, and Mauricio Villamizar-Villegas. Foreign investment dynamics: The impact of benchmark-driven versus unconstrained investors on local credit conditions. Banco de la República, 2025. https://doi.org/10.32468/be.1309.

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We examine the impact of foreign investor heterogeneity on local lending, focusing on Colombia from 2014 to 2023. Distinguishing between benchmark-driven and unconstrained investors, we highlight their differing responses to global and idiosyncratic shocks. Using bond-level data and the corporate credit registry, we link banks’ exposure to foreign flows with firm-level lending decisions. By decomposing Colombia’s weight in the J.P. Morgan GBI-EM index into valuation and exogenous components, we identify how investor behavior shapes bank balance sheets. Our main findings show that banks with gr
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Prada, María Fernanda, Graciana Rucci, and Fabiola Saavedra. The Transition to Telework in Latin America and the Caribbean: Key Findings using LinkedIn data. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004738.

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The COVID-19 crisis generated a sudden need for businesses to start operating remotely, and for employees to work from home. In consequence, the use of telework increased rapidly in Latin America and the Caribbean as it did globally. However, differences on the severity of containment measures by country, access to internet, and particularities of each country's labor markets may have played a role in the divergence of trends across countries in the post-pandemic scenario. We use data from LinkedIn in 7 countries in Latin America and the Caribbean, between January 2020 and April 2022, to shed
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Nin Pratt, Alejandro, and Héctor Valdés Conroy. After the Boom: Agriculture in Latin America and the Caribbean. Inter-American Development Bank, 2020. http://dx.doi.org/10.18235/0002955.

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The convergence of a favorable macroeconomic environment and high prices of primary commodities between 2000 and 2011 contributed to the best performance of agriculture in Latin America and the Caribbean (LAC) since the 1980s, with steady growth of total factor productivity (TFP) and output per worker and a reduction in the use of input per worker. The end of the upward phase of the commodity cycle in 2011 together with less favorable external markets and a deterioration of the policy environment in several countries, motivates us to revisit the situation of agriculture in LAC in recent years
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McKittrick, Susan. Survey Shows Data-Driven Marketing Improves Sales Productivity and Market Share…Yes! Patricia Seybold Group, 2011. http://dx.doi.org/10.1571/sa05-26-11cc.

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Farris, Jarrad, Stephen Morgan, and Jayson Beckman. Evaluating the effects of nontariff measures on poultry trade. Economic Research Service, U.S. Department of Agriculture, 2024. http://dx.doi.org/10.32747/2024.8453400.ers.

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Poultry is the second most consumed meat in the world and the most traded livestock commodity by volume. Much of this trade is driven by rising demand in developing country markets; as such, poultry trade is expected to continue to grow over the next decade as incomes increase in these countries. However, poultry trade is among the most heavily protected agricultural sectors in terms of tariffs and tariff rate quotas (TRQs). In addition, many nontariff measures (NTMs) limit or even prohibit poultry trade. This report combines data on World Trade Organization (WTO) poultry NTM notifications wit
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