Department of Economics
We propose a simple-to-implement panel data method to evaluate the impacts of social policy. The basic idea is to exploit the dependence among cross-sectional units to construct the counterfactuals. The cross-sectional correlations are attributed to the presence of some (unobserved) common factors. However, instead of trying to estimate the unobserved factors, we propose to use observed data. We use a panel of 24 countries to evaluate the impact of political and economic integration of Hong Kong with mainland China. We find that the political integration hardly had any impact on the growth of the Hong Kong economy. However, the economic integration has raised Hong Kong's annual real GDP by about 4%. © 2011 John Wiley & Sons, Ltd.
Source Publication Title
Journal of Applied Econometrics
This is the peer reviewed version of the following article: Hsiao, C., Steve Ching, H. and Ki Wan, S. (2012), A PANEL DATA APPROACH FOR PROGRAM EVALUATION: MEASURING THE BENEFITS OF POLITICAL AND ECONOMIC INTEGRATION OF HONG KONG WITH MAINLAND CHINA. J. Appl. Econ., 27: 705–740. doi:10.1002/jae.1230, which has been published in final form at http://dx.doi.org/10.1002/jae.1230. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Link to Publisher's Edition
Hsiao, C., Steve Ching, H., & Ki Wan, S. (2012). A panel data approach for program evaluation: measuring the benefits of political and economic integration of Hong Kong with mainland China. Journal of Applied Econometrics, 27 (5), 705-740. https://doi.org/10.1002/jae.1230