Projects per year
Personal profile
Research interests
Cross-sectional dependence; Factor models; Spatial models
Biography
Natalia Bailey is a Senior Lecturer at the Department of Econometrics and Business Statistics at Monash University. Natalia received her PhD from Queen Mary, University of London, and continued as a Research Associate at the University of Cambridge. Prior to joining Monash in 2017, she was a Lecturer at Queen Mary, University of London. She also worked in the private sector in London (Citigroup, Lehman Brother, and Merrill Lynch) as an economist / strategist for 8 years. Her research interests include the analysis of cross-sectional dependence (weak and strong) in large panels with applications to finance and macroeconomics.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- Econometrics
- Applied Econometrics
Collaborations and top research areas from the last five years
Projects
- 1 Finished
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Big data analytic approach to assessing impacts of harmful temperatures on wheat crops in northern Victoria
Silvapulle, P., Jayasuriya, S., Bailey, N. & Leroux, A.
1/05/18 → 30/06/21
Project: Research
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Estimation and inference for spatial models with heterogeneous coefficients: an application to US house prices
Aquaro, M., Bailey, N. & Pesaran, M. H., Jan 2021, In: Journal of Applied Econometrics. 36, 1, p. 18-44 27 p.Research output: Contribution to journal › Article › Research › peer-review
37 Citations (Scopus) -
Impact of climate change on agriculture in Australia: an interactive fixed effects model approach
Bailey, N., Hochman, Z., Mao, Y., Silvapulle, M. & Silvapulle, P., 2024, (Accepted/In press) In: Applied Economics. 14 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
A RMT-based LM test for error cross-sectional independence in large heterogeneous panel data models
Bailey, N., Jiang, D. & Yao, J., 2022, In: Econometric Reviews. 41, 5, p. 564-582 19 p.Research output: Contribution to journal › Article › Research › peer-review
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Measurement of factor strength: theory and practice
Bailey, N., Kapetanios, G. & Pesaran, M. H., Aug 2021, In: Journal of Applied Econometrics. 36, 5, p. 587-613 27 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile11 Citations (Scopus) -
Correction to exponent of cross-sectional dependence for residuals
Bailey, N., Kapetanios, G. & Pesaran, M. H., 2020, In: Sankhya B. 82, p. 380 1 p.Research output: Contribution to journal › Comment / Debate › Other › peer-review
Open Access