Instrument-free inference under confined regressor endogeneity; derivations and applications
Stellenbosch Working Paper Series No. WP09/2020Publication date: June 2020
Author(s):
Instead of exploiting instruments and claiming these to be uncorrelated with the disturbances, in an instrument-free approach one may adopt flexible bounds on the correlation between the endogenous regressors and the disturbances. Such an alternative to Two-Stage Least-Squares (TSLS) inference is developed here for general linear models with endogenous possibly time-dependent regressors. Earlier results enabled this just for rather restrictive mesokurtic i.i.d. cross-section data. In three empirical replication studies their underlying exclusion restrictions are shown to be most doubtful. Next, incredible (weak-instrument robust) TSLS inference is replaced by more reliable remarkably narrow instrument-free asymptotically conservative confidence intervals.
JEL Classification:C12, C13, C21, C22, C26
Keywords:endogeneity robust least-squares inference, new exclusion restrictions test, replication studies, sensitivity analysis of two-stage least-squares
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Monday 28 July 202512:00-13:00
Dr Neil Rankin: Ceo Of Predictive Insights & Stellenbosch University
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Topic: "Two competing approaches in South African competition policy: merger control and anti-cartel enforcement over the past 30 years"
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25 Jul 2025 Budget hurdle cleared, but US tariff implementation remains a riskIt was another big week on the local political front, but with some constructive momentum. On the trade front, ahead of next week’s 1 August deadline, Trump announced another “massive” trade deal with Japan. The upcoming week is busy, with a slew of global and domestic data releases and several monetary policy decisions, including the SARB....
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