Search Results - subject:"Double Machine Learning"

Gómez González, José Eduardo; Uribe, Jorge; … - 2024

This paper investigates how a country's economic complexity influences its sovereign yield spread with respect to the United States. Notably, a one-unit increase in the Economic Complexity Index is associated with a reduction of about 87 basis points in the 10-year yield spread. However, this...

Persistent link: https://www.econbiz.de/10014563887

Unveiling greenwashing in Colombian manufacturing: A machine learning approach

Henao-Rodríguez, Carolina; Lis-Gutiérrez, Jenny-Paola; … - In: Research in Globalization 8 (2024), pp. 1-14

Classification, Random Forest, Logistic Regression) and the double machine learning technique to identify causal effects and …

Persistent link: https://www.econbiz.de/10015520057

Heterogeneous treatment effect bounds under sample selection with an application to the effects of social media on political polarization

Heiler, Phillip - In: Journal of econometrics 244 (2024) 1, pp. 1-29

Persistent link: https://www.econbiz.de/10015552369

Research on the impact of ultra-high voltage transmission on urban carbon neutral technology innovation : an empirical test based on double machine learning method

Han, Dongri; Wang, Ruiqi; Yuan, Yijia; Xiao, Deheng - In: Energy economics 154 (2026), pp. 1-15

Persistent link: https://www.econbiz.de/10015627576

Critical peak pricing and firm's asset efficiency : a double machine learning study with China's new energy manufacturing industry

Zhan, Yanhong; Sun, Chuanwang; Xu, Mengjie - In: Energy economics 153 (2026), pp. 1-10

Persistent link: https://www.econbiz.de/10015617365

The impact of the governmental environmental policy on the tfp of heavily polluting companies : the evidence from Chinese listed companies

Cao, Yuanyu - In: Applied economics 58 (2026) 6, pp. 1177-1193

Persistent link: https://www.econbiz.de/10015634981

How does inland Free Trade Zones in China trigger industrial green transformation? : Evidence from policy text mining

Wang, Xiaolei; Yang, Xuanyadong; Cheng, Li; Wang, Xia - In: Energy economics 157 (2026), pp. 1-13

Persistent link: https://www.econbiz.de/10015641881

Predictability and causal identification of carbon prices using interpretable variables : evidence from China's Hubei carbon market

Jiang, He; Cao, Rongyu; Chen, Xue-Li; Song, Malin; Du, … - In: Energy economics 158 (2026), pp. 1-19

Persistent link: https://www.econbiz.de/10015650884

Exploring industry-distress effects on loan recovery : a double machine learning approach for quantiles

Chuang, Hui-Ching; Chen, Jau-er - In: Econometrics : open access journal 11 (2023) 1, pp. 1-20

In this study, we explore the effect of industry distress on recovery rates by using the unconditional quantile regression (UQR). The UQR provides better interpretative and thus policy-relevant information on the predictive effect of the target variable than the conditional quantile regression....

Persistent link: https://www.econbiz.de/10014281493

The perception of policy uncertainty and the labor income share of firms : empirical research based on double machine learning

Liao, Guiming; Hu, Zheli; Yang, Zhichen; Yin, Qianlin; … - In: Managerial and decision economics : MDE ; the … 46 (2025) 2, pp. 999-1011

Persistent link: https://www.econbiz.de/10015376888