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This paper investigates household consumption changes at retirement by utilizing a comprehensive, diary-based household survey from China. The survey contains both consumption quantity and price information, which permits separating quantity changes from price changes. The mandatory retirement...
Persistent link: https://www.econbiz.de/10011438232
The standard regression discontinuity (RD) design deals with a binary treatment. Manyempirical applications of RD designs involve continuous treatments. This paper establishesidentification and robust bias-corrected inference for such RD design. Causal identificationis achieved by utilizing any...
Persistent link: https://www.econbiz.de/10012852432
Persistent link: https://www.econbiz.de/10012134697
Suppose V and U are two independent mean zero random variables, where V has an asymmetric distribution with two mass points and U has a symmetric distribution. We show that the distributions of V and U are nonparametrically identified just from observing the sum V + U, and provide a rate root n...
Persistent link: https://www.econbiz.de/10003854237
This paper investigates household consumption changes at retirement by utilizing a comprehensive, diary-based household survey from China. The survey contains both consumption quantity and price information, which permits separating quantity changes from price changes. The mandatory retirement...
Persistent link: https://www.econbiz.de/10012997204
This paper proposes a new estimator for cross section semiparametric regressions containing an unobserved binary random effect and applies it to alcohol consumption. The unobserved random effect (health-consciousness) explains a significant proportion of the otherwise unexplained variation in...
Persistent link: https://www.econbiz.de/10015223407
Regression Discontinuity (RD) models identify local treatment effects by associating a discrete change in an outcome with a corresponding discrete change in the probability of treatment at a known threshold of a running variable. This paper shows that it is possible to identify RD model...
Persistent link: https://www.econbiz.de/10015223408
Regression Discontinuity (RD) models identify local treatment effects by associating a discrete change in the mean outcome with a corresponding discrete change in the probability of treatment at a known threshold of a running variable. This paper shows that it is possible to identify RD model...
Persistent link: https://www.econbiz.de/10015223427