Ventosa-Santaulària, Daniel (2007): Spurious Instrumental Variables. Published in: Communications in Statistics: Theory and Methods , Vol. 39, (2010): pp. 1997-2007.
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Abstract
Spurious regression phenomenon has been recognized for a wide range of Data Generating Processes: driftless unit roots, unit roots with drift, long memory, trend and broken-trend stationarity, etc. The usual framework is Ordinary Least Squares. We show that the spurious phenomenon also occurs in Instrumental Variables estimation when using non-stationary variables, whether the non-stationarity component is stochastic or deterministic. Finite sample evidence supports the asymptotic results.
Item Type: | MPRA Paper |
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Original Title: | Spurious Instrumental Variables |
English Title: | Spurious Instrumental Variables |
Language: | English |
Keywords: | IV Estimator, Spurious Regression, Broken-Trend stationarity, Unit Root. |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C12 - Hypothesis Testing: General C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes |
Item ID: | 58779 |
Depositing User: | Dr. Daniel Ventosa-Santaulària |
Date Deposited: | 30 Sep 2014 20:22 |
Last Modified: | 10 Oct 2019 11:36 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/58779 |