Pingfang Zhu
Biographic Data
| ID | 8920630 |
|---|---|
| NAME | Pingfang Zhu |
| GIVEN NAMES | Pingfang |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU P |
| AFFILIATIONS | Social Academy of Shanghai, Shanghai, China, and Research Center of Econometrics, Shanghai Academy of Social Sciences, Shanghai, China ( ) |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Composite Index Construction with Expert Opinion
Composite index is a powerful and popularly used tool in providing an overall measure of a subject by summarizing a group of measurements (component indices) of different aspects of the subject. It is widely used in economics, finance, policy evaluation, performance ranking, and many other fields. Effective construction of a composite index has been studied extensively. The most widely used approach is to use a linear combination of the component…
Testing Conditional Mean Independence Under Symmetry
Conditional mean independence (CMI) is one of the most widely used assumptions in the treatment effect literature to achieve model identification. We propose a Kolmogorov–Smirnov-type statistic to test CMI under a specific symmetry condition. We also propose a bootstrap procedure to obtain the p-values and critical values that are required to carry out the test. Results from a simulation study suggest that our test can work very well even in smal…
No prominent works on this page.
Testing Conditional Mean Independence Under Symmetry
Conditional mean independence (CMI) is one of the most widely used assumptions in the treatment effect literature to achieve model identification. We propose a Kolmogorov–Smirnov-type statistic to test CMI under a specific symmetry condition. We also propose a bootstrap procedure to obtain the p-values and critical values that are required to carry out the test. Results from a simulation study suggest that our test can work very well even in smal…
Composite Index Construction with Expert Opinion
Composite index is a powerful and popularly used tool in providing an overall measure of a subject by summarizing a group of measurements (component indices) of different aspects of the subject. It is widely used in economics, finance, policy evaluation, performance ranking, and many other fields. Effective construction of a composite index has been studied extensively. The most widely used approach is to use a linear combination of the component…
Econometrics (2 works) · Mathematics (2 works) · Statistics (2 works) · Advanced Causal Inference Techniques (1 works) · Artificial Intelligence (1 works) · Composite index (1 works) · Composite indicator (1 works) · Computer Science (1 works) · Conditional independence (1 works) · Data mining (1 works)