Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left

By Jerry A. Hausman. 2001

652 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/14cbebf8a879c2d858ca2caf7beb0e3e62c7ad9b

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Citations in the corpus

Interfuel Substitution: A Meta-Analysis (2012, neutral): “As is well-known, measurement error induces a correlation between the error term and the regressors and biases the estimates downwards if the measurement error is not correlated with the regressors (Hausman, 2001).”
Land productivity and plot size : is measurement error driving the inverse relationship ? (2017, neutral): “As is well-known, but perhaps insufficiently emphasized, this illustrates that the ‘Iron Law of Econometrics’ – as Hausman (2001) called the observation that measurement error in the independent variables results in attenuation bias in regression coefficients – critically depends on the assumption…”
The scars of youth: effects of early-career unemployment on future unemployment experience (2017, background): “Under classical assumptions this attenuates simple estimates of α toward zero [cf. Hausman (2001)].”
A rank-ordered logit model with unobserved heterogeneity in ranking capabilities. (2007, methodology): “In a non-linear model, measurement errors in the dependent variables in general result in biased estimates, see Hausman (2001) for a small overview.”
Remittances, consumption and investment in Ghana (2008, neutral): “In the past, a standard solution to this problem has been to use income as an instrument for expenditure (Liviatan, 1961); however, recently the assumptions under which this can be done have been criticized (Hausman, 2001).”
Lights, Camera … Income! Illuminating the National Accounts-Household Surveys Debate (2016, background): “(γG, γ ∗ S) = arg min γG,γS { γ(2)Lvar ( εi,t ) + γ(2)Gvar ( εi,t ) + 2γGγScov ( εi,t, ε S i,t ) + γ(2)Svar ( εi,t )} (29)”
Inequality and Happiness (2012, background): “This is known as attenuation bias or the iron law of econometrics (Hausman, 2001).”
Estimating Euler equations with noisy data: two exact GMM estimators (2009, background): “In the wider measurement error literature, resolutions of the problem for nonlinear estimators have only been possible in particular circumstances (see Hausman et al (1991), Hausman et al (1995), Schennach (2000), Hausman (2001), Wansbeek (2001), Hong and Tamer (2003) ).”
Reversal in the Trend of Global Anthropogenic Sulfur Emissions (2005, background): “In addition, the dependent variable in the regression analysis—estimated sulfur emissions—is uncertain and subject to measurement error—which is likely to reduce the efficiency of estimation, though not bias the estimates (Hausman, 2001).”
The macroeconomic consequences of disasters (2009, methodology): “9 Furthermore, if stated damages are indeed biased upward, than the size of the estimated coefficients is biased downward (see Hausman, 2001, for more details).”
Employment Effects of Different Innovation Activities: Microeconometric Evidence (2005, methodology): “…inference arise if the instruments are weak and conventional (first–order) asymptotic inference techniques are used, for instance, the Sargan test or the traditional Hausman specification test (see, e.g., Bound et al. 1995, Staiger and Stock 1997, Shea 1997, Hausman 2001 or Hahn and Hausman 2002).”