Lixiong Yang | Econometric Models | Best Researcher Award

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Prof. Lixiong Yang | Econometric Models | Best Researcher Award

Prof. Lixiong Yang, Lanzhou University, China

🎓 Prof. Lixiong Yang is a distinguished economist specializing in econometric theory and applications, with expertise in panel data models, big data analysis, and financial econometrics. Holding a Ph.D. from Xi’an Jiaotong University, he’s currently a Professor at Lanzhou University, recognized as a Duiying Scholar. His accolades include prestigious awards for doctoral dissertations and supervision. Prof. Yang leads multiple research projects funded by NSFC, focusing on time-varying threshold models and fiscal policy effectiveness. An accomplished author, his recent book “Econometrics: Application based on Stata” is a significant contribution to the field. 📈📊

 

Publication Profile:

Scopus

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Education and Qualification :

🎓 Dr. Lixiong Yang completed his Ph.D. in Economics at Xi’an Jiaotong University, focusing on nonstationary time series analysis. His dissertation, “A Method of Nonstationary Time Series Analysis Based on ‘the Degree of Cointegration’: the Equal Variance Test and its Applications,” showcased innovative approaches to economic research. Prior to his doctoral studies, he earned a Bachelor’s degree in Financial Mathematics from Xi’an Jiao Tong University. Dr. Yang’s academic journey reflects his passion for quantitative analysis and its applications in economics, paving the way for his distinguished career as a researcher and educator in the field of econometrics. 📊📚

Employment:

🏫 Dr. Lixiong Yang’s academic career has been deeply rooted in Lanzhou University’s School of Management, where he currently serves as a Professor since December 2022. Recognized for his scholarly contributions, he was selected as a Duiying Scholar in 2020. Prior to his professorship, he held the position of Junior Professor from December 2019 to November 2022 and served as a Lecturer from April 2014 to November 2019. His enduring commitment to education and research has made him an integral part of the university community, shaping the minds of future leaders in management studies. 📚✏️

Awards and Honors:

🏆 Dr. Lixiong Yang’s dedication to mentorship and academic excellence has garnered numerous accolades. In 2021, he was recognized as an excellent supervisor for both Lanzhou University undergraduate theses and the “Challenge Cup” business start-up plan competition in Gansu province, showcasing his commitment to nurturing young talent. His exceptional research contributions were acknowledged with prestigious awards, including the Excellent Doctoral Dissertation titles from both Shaanxi Province in 2017 and Xi’an Jiaotong University in 2016. Dr. Yang’s scholarly pursuits were further honored with a National Scholarship for Doctoral Students in 2013, reflecting his outstanding achievements in academia. 🌟🎓

 

Research Focus:

🔍 Dr. Lixiong Yang’s research focuses on econometric modeling, particularly in the realm of threshold models with covariate-dependent thresholds. He explores innovative methodologies such as panel kink threshold regression and mixed data sampling models, contributing significantly to fields like empirical economics and nonlinear dynamics. His work delves into variable selection in threshold models and examines the behavior of standard tests in the presence of structural breaks. Through a blend of theoretical development and practical applications, Dr. Yang’s research sheds light on complex economic phenomena, offering insights crucial for understanding and forecasting market dynamics. 📊📈

Publication Top Notes:
  1. Variable selection in threshold model with a covariate-dependent threshold (Empirical Economics, 2023)
  2. High dimensional threshold model with a time-varying threshold based on Fourier approximation (Studies in Nonlinear Dynamics & Econometrics, 2022)
  3. Threshold mixed data sampling models with a covariate-dependent threshold (Applied Economics Letters, 2022)
  4. Threshold mixed data sampling (TMIDAS) regression models with an application to GDP forecast errors (Empirical Economics, 2022)
  5. Threshold model with a time‐varying threshold based on Fourier approximation (Journal of Time Series Analysis, 2021)
  6. Panel kink threshold regression with a covariate-dependent threshold (Econometrics Journal, 2020)
  7. State-dependent biases and the quality of China’s preliminary GDP announcements (Empirical Economics, 2019)
  8. Debt and growth: Is there a constant tipping point (Journal of International Money and Finance, 2018)
  9. Regression discontinuity designs with state-dependent unknown discontinuity points: Estimation and testing (Studies in Nonlinear Dynamics and Econometrics, 2018)
  10. An Assessment on the quality of China’s Preliminary Data of Quarterly GDP Announcements (Applied Economics, 2017)