Tests of equality between sets of coefficients in two linear regressions (econometrics voi 28

By G. Chow. 1960

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Citations in the corpus

Invariant Causal Prediction for Sequential Data (2017, methodology): “From a technical perspective, we provide a new asymptotic analysis for the Chow test (Chow, 1960) for simultaneously testing equality of regression coefficients and homoscedasticity of the residuals. In particular, we show that it has a non-optimal rate for detecting differences of regression coeffi”
Consumer-factors Moderating Private Label Brand Success: Further Empirical Results (2009, methodology): “A Chow (1960) test was conducted to compare the differences between the two regression equations shown in Table V.”
Cost Savings of Contracting Out Refuse Collection (2005, background): “Chow (1960) states that: “Often there is no economic rationale in assuming that two relationships are completely the same” (p. 591).”
The risk in hedge fund strategies: Theory and evidence from long/short equity hedge funds (2011, methodology): “Here, we use the Chow (1960) test, modifying the standard error calculation to allow for conditional heteroskedasticy as in White (1980) and Hsieh (1983).”
When Preference Is Not Satisfied but the Individual Is (2014, unknown): “direct facilitate comparison of coefficients across the PD groupings, we used a Chow test (Chow, 1960).”
The Dark Side of Visionary Leadership in Strategy Implementation: Strategic Alignment, Strategic Consensus, and Commitment (2018, methodology): “To determine whether the data from the first and second organizations could be pooled, we performed Chow tests (Chow, 1960).”