Search Results - subject:"Machine Learning"

A Macroscope of English Print Culture, 1530-1700, Applied to the Coevolution of Ideas on Religion, Science, and Institutions

Grajzl, Peter; Murrell, Peter - 2023

We combine unsupervised machine-learning and econometric methods to examine cultural change in 16th- and 17th …-century England. A machine-learning digest synthesizes the content of 57,863 texts comprising 83 million words into 110 topics. The … generated via machine-learning we then study facets of England's cultural history. Timelines suggest that religious and …

Persistent link: https://www.econbiz.de/10014290235

Uncertainty about the war in Ukraine: Measurement and effects on the German business cycle

Grebe, Moritz; Kandemir, Sinem; Tillmann, Peter - 2023

We assemble a data set of more than eight million German Twitter posts related to the war in Ukraine. Based on state-of-the-art methods of text analysis, we construct a daily index of uncertainty about the war as perceived by German Twitter. The approach also allows us to separate this index...

Persistent link: https://www.econbiz.de/10014293718

On the Validity of Using Webpage Texts to Identify the Target Population of a Survey: An Application to Detect Online Platforms

Daas, Piet; Hassink, Wolter; Klijs, Bart - 2023

A statistical classification model was developed to identify online platform organizations based on the texts on their website. The model was subsequently used to identify all (potential) platform organizations with a website included in the Dutch Business Register. The empirical outcomes of the...

Persistent link: https://www.econbiz.de/10014296685

ddml: Double/Debiased Machine Learning in Stata

Ahrens, Achim; Hansen, Christian B.; Schaffer, Mark E; … - 2023

We introduce the package ddml for Double/Debiased Machine Learning (DDML) in Stata. Estimators of causal parameters for … supervised machine learning programs in Stata. We recommend using DDML in combination with stacking estimation which combines …

Persistent link: https://www.econbiz.de/10014296707

Determinants of Heat Risk in an Aging Population: A Machine Learning Approach

Klauber, Hannah; Koch, Nicolas - 2023

population over 65 years of age. Using administrative insurance claims data and a machine-learning-based regression model, we …

Persistent link: https://www.econbiz.de/10014296740

Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators

Drago, Carlo; Nallo, Loris Di; Russotto, Maria Lucetta - 2023

Promoting social information reporting and disclosure can promote sustainable banking. The paper aims to measure banking social sustainability by constructing a new interval-based composite indicator using the Thomson Reuters database. In this work, we propose an approach to constructing...

Persistent link: https://www.econbiz.de/10014305715

Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs

Foltas, Alexander - 2023

I propose a novel approach to uncover business cycle reports' priorities and relate them to economic fluctuations. To this end, I leverage quantitative business-cycle forecasts published by leading German economic research institutes since 1970 to estimate the proportions of latent topics in...

Persistent link: https://www.econbiz.de/10014317128

Clustering-based sector investing

Bagnara, Matteo; Goodarzi, Milad - 2023

Industry classification groups firms into finer partitions to help investments and empirical analysis. To overcome the well-documented limitations of existing industry definitions, like their stale nature and coarse categories for firms with multiple operations, we employ a clustering approach...

Persistent link: https://www.econbiz.de/10014321226

Entity matching with similarity encoding: A supervised learning recommendation framework for linking (big) data

Karapanagiotis, Pantelis; Liebald, Marius - 2023

In this study, we introduce a novel entity matching (EM) framework. It com-bines state-of-the-art EM approaches based on Artificial Neural Networks (ANN) with a new similarity encoding derived from matching techniques that are preva-lent in finance and economics. Our framework is on-par or...

Persistent link: https://www.econbiz.de/10014330134

Analysis of Bitcoin price prediction using machine learning

Chen, Junwei - In: Journal of Risk and Financial Management 16 (2023) 1, pp. 1-25

The research purpose of this paper is to obtain an algorithm model with high prediction accuracy for the price of Bitcoin on the next day through random forest regression and LSTM, and to explain which variables have influence on the price of Bitcoin. There is much prior literature on Bitcoin...

Persistent link: https://www.econbiz.de/10014332826