20152020

Research output per year

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Personal profile

Biography

My research focuses on developing new models and methods that may be of practical relevance in analysing data in economic growth, health economics, time series forecasting, and production economics.

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Research Output

Inference on a semiparametric model with global power law and local nonparametric trends

Gao, J., Linton, O. & Peng, B., Apr 2020, In : Econometric Theory. 36, 2, p. 223-249 27 p.

Research output: Contribution to journalArticleResearchpeer-review

Instrumental variables estimation in large heterogeneous panels with multifactor structure

Forchini, G., Jiang, B. & Peng, B., 2020, In : Journal of Econometric Methods. 9, 1, 22 p., 20180003.

Research output: Contribution to journalArticleResearchpeer-review

Varying-coefficient panel data models with nonstationarity and partially observed factor structure

Dong, C., Gao, J. & Peng, B., 2020, (Accepted/In press) In : Journal of Business and Economic Statistics. 12 p.

Research output: Contribution to journalArticleResearchpeer-review

Estimation in a semiparametric panel data model with nonstationarity

Dong, C., Gao, J. & Peng, B., 2019, In : Econometric Reviews. 38, 8, p. 961-977 17 p.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Semi-parametric single-index panel data models with interactive fixed effects: theory and practice

Feng, G., Peng, B., Su, L. & Yang, T. T., Oct 2019, In : Journal of Econometrics. 212, 2, p. 607-622 16 p.

Research output: Contribution to journalArticleResearchpeer-review