Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Macroeconomic Nowcasting Using Google Probabilities☆
Gary Koop, Luca Onorante
Advances in econometrics (2019), pp. 17-40
Closed Access | Times Cited: 25

Showing 25 citing articles:

Measuring objective and subjective well-being: dimensions and data sources
Vasiliki Voukelatou, Lorenzo Gabrielli, Ioanna Miliou, et al.
International Journal of Data Science and Analytics (2020) Vol. 11, Iss. 4, pp. 279-309
Open Access | Times Cited: 221
Forecasting Volatility with Empirical Similarity and Google Trends
Moritz Daniel Heiden, Alain Hamid
SSRN Electronic Journal (2015)
Closed Access | Times Cited: 75
Google Trends and the forecasting performance of exchange rate models
Levent Bulut
Journal of Forecasting (2017) Vol. 37, Iss. 3, pp. 303-315
Closed Access | Times Cited: 66
Dynamic model averaging in large model spaces using dynamic Occam׳s window
Luca Onorante, Adrian E. Raftery
European Economic Review (2015) Vol. 81, pp. 2-14
Open Access | Times Cited: 51
Model averaging in Markov-switching models: Predicting national recessions with regional data
Pierre Guérin, Danilo Leiva‐León
Economics Letters (2017) Vol. 157, pp. 45-49
Open Access | Times Cited: 45
AN OVERVIEW OF DYNAMIC MODEL AVERAGING TECHNIQUES IN TIME‐SERIES ECONOMETRICS
Nima Nonejad
Journal of Economic Surveys (2021) Vol. 35, Iss. 2, pp. 566-614
Closed Access | Times Cited: 27
Using four different online media sources to forecast the crude oil price
Mohammed Elshendy, Andrea Fronzetti Colladon, Elisa Battistoni, et al.
Journal of Information Science (2017) Vol. 44, Iss. 3, pp. 408-421
Closed Access | Times Cited: 39
Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model
David Kohns, Arnab Bhattacharjee
International Journal of Forecasting (2022) Vol. 39, Iss. 3, pp. 1384-1412
Open Access | Times Cited: 17
Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data
Serena Ng
(2017)
Open Access | Times Cited: 26
Googling Unemployment During the Pandemic: Inference and Nowcast Using Search Data
Giulio Caperna, Marco Colagrossi, Andrea Geraci, et al.
SSRN Electronic Journal (2020)
Open Access | Times Cited: 18
Macroeconomic Predictions Using Payments Data and Machine Learning
James Chapman, Ajit Desai
Forecasting (2023) Vol. 5, Iss. 4, pp. 652-683
Open Access | Times Cited: 6
Nowcasting inflation with Lasso‐regularized vector autoregressions and mixed frequency data
Tesi Aliaj, Milos Ciganovic, Massimiliano Tancioni
Journal of Forecasting (2023) Vol. 42, Iss. 3, pp. 464-480
Open Access | Times Cited: 5
Nowcasting Unemployment Rates with Smartphone GPS Data
Daisuke Moriwaki
Lecture notes in computer science (2020), pp. 21-33
Open Access | Times Cited: 10
Global risks, the macroeconomy, and asset prices
Michele Costola, Michael Donadelli, Luca Gerotto, et al.
Empirical Economics (2022) Vol. 63, Iss. 5, pp. 2357-2388
Open Access | Times Cited: 4
Selective Attention in Exchange Rate Forecasting
Svatopluk Kapounek, Zuzana Kučerová, Evžen Kočenda
Journal of Behavioral Finance (2021) Vol. 23, Iss. 2, pp. 210-229
Open Access | Times Cited: 5
Exploring information demand in the maritime industry: a Google Trends approach
Dimitris Georgoulas, Stratos Papadimitriou
Maritime Policy & Management (2024), pp. 1-20
Closed Access
빅데이터 기반의 국제거시경제 전망모형 개발 연구 (Developing an International Macroeconomic Forecasting Model Based on Big Data)
Yaein Baek, Sang-Ha Yoon, Hyun Hak Kim, et al.
SSRN Electronic Journal (2024)
Closed Access
Nowcasting in real time using popularity priors
George Monokroussos, Yongchen Zhao
International Journal of Forecasting (2020) Vol. 36, Iss. 3, pp. 1173-1180
Open Access | Times Cited: 3
Forecasting the Inflation Rate in Poland and U.S. Using Dynamic Model Averaging (DMA) and Google Queries
Krzysztof Drachal
Romanian Journal of Economic Forecasting (2020), Iss. 2, pp. 18-34
Closed Access | Times Cited: 2
Dynamic Model Averaging in Large Model Spaces Using Dynamic Occam's Window
Luca Onorante, Adrian E. Raftery
arXiv (Cornell University) (2014)
Closed Access | Times Cited: 1
Big Data: Google-haut ennustavat työttömyyttä Suomessa
Joonas Tuhkuri
(2014)
Closed Access
Chasing yesterday : nowcasting economic activity with timely indicators
Paul Smith
(2016)
Closed Access
Google Search and Stock Market Performance: Evidence from Malaysia
Kelvin Yong Ming Lee
UNIMAS Review of Accounting and Finance (2019) Vol. 2, Iss. 1, pp. 49-55
Open Access
A Theory-Based Lasso for Time-Series Data
Achim Ahrens, Christopher Aitken, Jan Ditzen, et al.
Studies in computational intelligence (2020), pp. 3-36
Closed Access
Recent Advances of Dynamic Model Averaging Theory and Its Application in Econometrics
Jiahui Li, Yuanying Jiang
Journal of Financial Risk Management (2022) Vol. 11, Iss. 04, pp. 740-756
Open Access
Page 1

Scroll to top