[HTML][HTML] Application of machine learning and data visualization techniques for decision support in the insurance sector

S Rawat, A Rawat, D Kumar, AS Sabitha - International Journal of …, 2021 - Elsevier
The insurance industry has a giant role in the sustainable economic growth of any country.
With an increase in the number of insurance buyers, it has become an absolute necessity for …

Navigating the storm: the SME way of tackling the pandemic crisis

GD Sharma, S Kraus, A Talan, M Srivastava… - Small Business …, 2024 - Springer
Small and medium-sized enterprises (SMEs) are a major contributor to economic growth
and a potential source of growth and employment globally. This article employs a …

Future directions in nowcasting economic activity: A systematic literature review

A Stundziene, V Pilinkiene… - Journal of Economic …, 2024 - Wiley Online Library
This paper presents a systematic review of research papers on nowcasting economic
activity. The study summarizes the state‐of‐the‐art nowcasting approaches and methods …

Panel forecasts of country-level Covid-19 infections

L Liu, HR Moon, F Schorfheide - Journal of Econometrics, 2021 - Elsevier
We use a dynamic panel data model to generate density forecasts for daily active Covid-19
infections for a panel of countries/regions. Our specification that assumes the growth rate of …

Application of machine learning for fraud detection–a decision support system in the insurance sector

J Verma - Big data analytics in the insurance market, 2022 - emerald.com
Introduction: The insurance sector is playing a crucial role in the sustainable growth of the
Indian economy. But in India, this sector loses crores of rupees every year due to the …

Forecasting unemployment insurance claims in realtime with Google Trends

D Aaronson, SA Brave, RA Butters, M Fogarty… - International Journal of …, 2022 - Elsevier
Leveraging the increasing availability of” big data” to inform forecasts of labor market activity
is an active, yet challenging, area of research. Often, the primary difficulty is finding credible …

Baidu index and COVID-19 epidemic forecast: evidence from China

J Fang, X Zhang, Y Tong, Y Xia, H Liu… - Frontiers in Public …, 2021 - frontiersin.org
With the global spread of the Coronavirus epidemic, search engine data can be a practical
tool for decision-makers to understand the epidemic's trends. This article uses trend analysis …

The economics of epidemics and contagious diseases: An introduction

R Boucekkine, A Carvajal, S Chakraborty… - Journal of Mathematical …, 2021 - Elsevier
In December 2019, medical professionals hypothesized that clusters of a new respiratory
disease were developing in the Chinese city of Wuhan. On January 3rd, 2020, the World …

Forecasting in the absence of precedent

P Ho - Journal of Economic Surveys, 2023 - Wiley Online Library
We survey approaches to macroeconomic forecasting during the COVID‐19 pandemic. Due
to the unprecedented nature of the episode, there was greater dependence on information …

[HTML][HTML] Nowcasting the output gap

T Berger, J Morley, B Wong - Journal of econometrics, 2023 - Elsevier
We propose a way to directly nowcast the output gap using the Beveridge–Nelson
decomposition based on a mixed-frequency Bayesian VAR. The mixed-frequency approach …