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on China |
| By: | Fan, Elliott (Australian National University); Meng, Xin (Australian National University); Wei, Zhichao (Brown University); Zhao, Guochang (Australian National University) |
| Abstract: | Estimating the rate of return to a university degree has always been difficult due to the problem of omitted variable biases. Benefiting from a special feature of the University Admission system in China, which has clear cutoffs for university entry, combined with a unique data set with information on individual National College Entrance Examination (NCEE) scores, we estimate the Local Average Treatment Effects (LATE) of university education based on a Regression Discontinuity design. To the best of our knowledge, this is the first study to use RD design to estimate the causal effect of a university education on earnings. Our results show that the rates of return to 4-year university education relative to 3-year college education are 40 and 60 per cent for the compliers in the male and female samples, respectively, which are much larger than the simple OLS estimations revealed in previous literature. Since in our sample a large proportion of individuals are compliers (45 per cent for males and 48 per cent for females), the LATEs estimated in this paper have a relatively general implication. In addition, we find that the LATEs are likely to be larger than ATEs, suggesting that the inference drawn from average treatment effects might understate the true effects of the university expansion program introduced in China in 1999 and thereafter. |
| Keywords: | rate of return to education, regression discontinuity design, China |
| JEL: | I21 I28 J24 |
| Date: | 2010–02 |
| URL: | http://d.repec.org/n?u=RePEc:iza:izadps:dp4749&r=cna |
| By: | Loren Brandt; Xiaodong Zhu |
| Abstract: | China has achieved impressive growth over the last three decades. However, there has been debate over the sources of the growth, and the role of the intensive versus extensive margin. Growth accounting exercises at the aggregate level (Rawski and Perkins, 2008; Bosworth and Collins, 2008) suggest an equal role for both. But for the non-agricultural sector, there have been doubts about the contribution of TFP improvements to growth. For the period between 1978 and 1998, Young (2003) stresses the role of labor deepening, including the reallocation from agriculture, while more recent analysis point to the role of rising rates of investment. Because labor reallocations across sectors, TFP growth at the sector level and investment are all inter-related, simple growth decompositions that are often used in the literature are not appropriate for quantifying their contributions to growth. In this paper, we develop a three sector model to quantify the sources of China's growth. The sectors include agriculture, and within non-agriculture, the state and non-state components. We find only a modest role for labor reallocation and capital deepening, and identify rising TFP in the non-state nonagricultural sector as the key driver of growth. We also find significant misallocation of capital: The much less efficient state sector continues to absorb more than half of all fixed investment. If capital had been allocated efficiently, China could have achieved the same growth performance without any increase in the rate of aggregate investment. This has important implications for China as it tries to rebalance its growth. Finally, in light of important concerns over data, we examine the robustness of our key results to alternative data |
| Keywords: | China, Growth, TFP, Investment, intensive vs extensive margins |
| JEL: | E2 O4 |
| Date: | 2010–02–16 |
| URL: | http://d.repec.org/n?u=RePEc:tor:tecipa:tecipa-394&r=cna |