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" : Personal statement(Ping Zong)I am a methodologist (senior research officer) currently working at time series analysis branch at the Methodology Division in the Office for National Statistics (ONS) UK. I received my doctorate in Economics in 1997 from the Queens University of Belfast (QUB) UK and have both academic and official statistical research backgrounds. I was a lecturer in Fudan (1986-1991). As a research fellow worked in the QUB (1991-92). In 1993 I received K.C.Wong fellowship from British Academy and worked as K.C.Wong research fellow in the University of Newcastle (1992-1993). In 1993, I received a PhD scholarship from the QUB and returned the Queens to start my Ph.D study and completed my Ph.D study in 1997. After a few years working in private companies, I returned the University of Essex UK working as senior research fellow in the Social Economics and Technology Research Centre. In the last decade, I have been working in methodological research, particular in the time series analysis in the ONS UK since 2007. My main research interest is in the econometric modelling which was related to the policy area. These include quantitative analysis (linear multiple regression analysis and various econometrical modelling) and qualitative analysis (LPM and Logit models) with time-series, cross-sectional and panel data. In the last decade, I was focused on time series analysis including regARIMA modelling, forecasting, spectral analysis and structural time series analysis, ie, dynamic linear modelling (DLM) such as State Space Modelling. I am particularly interested in methodological research and its application in empirical study. In my view, any new findings in actual life/theory should be supported by empirical study. There is an intimate and symbiotic relationship between theory and econometrics, and that development of a fully successful economic analysis requires an integration of theoretical and econometric ideas in a unified approach. From the scientific as well as from the policy point of view, it is only an appropriate and corrected empirical approach that can be more precise to capture reality, particularly for the purpose of policy analysis. " O Y & Y b q t
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