Econometric Analysis of Cross Section and Panel Data

By Jeffrey M. Woodbridge. 2002

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Machine Learning Methods That Economists Should Know About (2019, neutral): “and Wooldridge [2009] for surveys).”
Generalized random forests (2016, background): “The above approach generalizes classical approaches based on kernels or series estimation (Abadie, 2003; Su, Murtazashvili and Ullah, 2013; Wooldridge, 2010).”
Electoral manipulation via voter-friendly spending: Theory and evidence (2010, methodology): “Wooldridge 2001).25 We therefore examine the robustness of our results to using similar GMM estimation techniques, but with the instrument matrix suggested by Anderson and Hsiao (1982).”
Fixed Effects Estimation of the Intensive and Extensive Margins of Irrigation Water Demand (2012, unknown): “(Wooldridge, 2002):”
To Merge, Sell, or Liquidate? Socioemotional Wealth, Family Control, and the Choice of Business Exit (2019, unknown): “A proper specification of the inverse Mills ratio requires the variable to be correlated with the first-stage probit model’s outcome (i.e., continue or not) but not with the second-stage model’s outcome (i.e., order of exit options) (Wooldridge, 2002).”
The effect of financial reporting quality on corporate dividend policy (2017, unknown): “Wooldridge (2002) shows that an OLS model is inappropriate for analyzing the corner solution responses and recommends using Tobit models.”
Deriving conditional and unconditional marginal effects in log earnings equations estimated by Heckman's procedure (2005, methodology): “Although the method is clearly presented in many different textbooks (Greene, 2000; Berndt, 1991; Kennedy, 1998; Maddala, 1992; Wooldridge, 2002), software (limdep, stata, sas v.9), and papers (Heckman, 1979, 1980), the presentation of the marginal effects, necessary to interpret the effect of the…”
Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China (2016, methodology): “The autocorrelation in the fixed effect models was verified by the Wooldridge test and the autocorrelation in the fixed effect models was found [48].”
The Spline-Garch Model for Low Frequency Volatility and its Global Macroeconomic Causes (2008, unknown): “The Seemingly Unrelated Regressions (SUR) model developed by Zellner (1962) provides a framework that imposes no assumptions on the correlation structure of the errors and easily incorporates restrictions on the coefficients.”
Error Rates in Measuring Teacher and School Performance Based on Student Test Score Gains (2010, methodology): “By comparing well - known variance formulas for the GLS estimator and the OLS estimator ( Wooldridge 2002 , Chapter 7 ) , it can be shown that the variance of the SUR estimator is approximately the variance of the OLS estimator based on the effective number of observations per classroom , n n eff 2…”
CEO After-Tax Compensation Incentives and Corporate Tax Avoidance (2014, unknown): “For that to happen, the Type II errors would have to be correlated with the actual likelihood of using after-tax incentives and with each of the three outcomes of interest (Wooldridge 2002).”
National Rates of Opportunity Entrepreneurship Activity: Insights from Institutional Anomie Theory (2014, methodology): “The F-tests for each model suggested that year fixed-effects models were appropriate (Wooldridge, 2002).”