Explorations in NISE Estimation

Blankmeyer, Eric (2021): Explorations in NISE Estimation.

Abstract

. Ordinary least squares, two-stage least squares and the NISE estimator are applied to three data sets involving equations from microeconomics and macroeconomics. The focus is on simultaneity bias in linear least squares and on the ability of the other estimators to mitigate the bias.

• Item Type: MPRA Paper
• Language: English
• Keywords: simultaneity bias, instrumental variables, least squares regression
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables

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