Items where City Author is "Wongsa-Art, Pipat"
Kim, N., Wongsa-art, P. & Xia, Y. (2024). A dynamic count process. Journal of Statistical Planning and Inference, 233, article number 106187. doi: 10.1016/j.jspi.2024.106187
Wongsa-art, P. 
ORCID: 0000-0002-7611-0383, Kim, N., Xia, Y. & Moscone, F. (2024).
Varying coefficient panel data models and methods under correlated error components: Application to disparities in mental health services in England.
Regional Science and Urban Economics, 106,
article number 104009.
doi: 10.1016/j.regsciurbeco.2024.104009
Wongsa-art, P., Kim, N. & Bateman, I. (2023). A New Model for Agricultural Land-Use Modeling and Prediction in England Using Spatially High-Resolution Data. In: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications. (pp. 291-317). Leeds, UK: Emerald. doi: 10.1108/S0731-90532023000045B013
Wongsa-art, P. & Xia, Y. (2022). Functional time series approach to analyzing asset returns co-movements. Journal of Econometrics, 229(1), pp. 127-151. doi: 10.1016/j.jeconom.2020.11.012
Gao, J., Kim, N. & Wongsa-art, P. (2020). On endogeneity and shape invariance in extended partially linear single index models. Econometric Reviews, 39(4), pp. 415-435. doi: 10.1080/07474938.2019.1682313
Jiang, H., Wongsa-art, P. & Xia, Y. (2016). Asymmetric conditional correlations in stock returns. The Annals of Applied Statistics, 10(2), doi: 10.1214/16-aoas924
Wongsa-art, P., Gao, J. & Kim, N. H. (2014). Semiparametric methods in nonlinear time series analysis: a selective review. Journal of Nonparametric Statistics, 26(1), pp. 141-169. doi: 10.1080/10485252.2013.840724