Econometric Analysis of Cross Section and Panel Data, 2nd Edition
By Michael J. Wooldridge. 2001
1,473 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/cf430642ff1260b9a83f8ecb059b8a2ac78c2585
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Citations in the corpus
- Entrepreneurial spirits in women and men. The role of financial literacy and digital skills (2019, methodology): “1 The linear probability model is increasingly seen as a suitable alternative to the probit or logit model (Wooldridge 2002).”
- Productivity Effects of Basic Research in Low-Tech and High-Tech Industries (2012, methodology): “A test on strict exogeneity proposed by Wooldridge (2002) which can be easily conducted by adding lead values of the right-hand side variables (excluding time and industry dummies) to the fixed-effects within model reveals that the explanatory variables suffer from feedback effects.”
- Delay and secrecy: does industry sponsorship jeopardize disclosure of academic research? (2015, background): “Model B controls for self-selection into extramural funding (see e.g. Wooldridge, 2002: 570, for technical details).”
- Regression Analysis of Country Effects Using Multilevel Data: A Cautionary Tale (2013, methodology): “With large Nc, the second step can be estimated by applying OLS to the C country-level observations (Donald and Lang 2007, Wooldridge 2010: 891–892).6 6 The country-level error, ηc, in (3) can be written )ˆ( ββεη −++= cccc Xu .”
- Multiple Imputation of Multilevel Missing Data—Rigor Versus Simplicity (2015, background): “However, from the literature on random and fixed effects models, (see, e.g., Woolridge, 2010, chap.”
- Participation in Rural Land Rental Markets in Sub-Saharan Africa: Who Benefits and by How Much? Evidence from Malawi and Zambia (2016, unknown): “First, we control for the time-constant unobservable factors that affect attrition using the MC device in the land rental market participation models, and household FE in the welfare models (Wooldridge 2010).”
- Determinants of Airbnb demand in Vienna and their implications for the traditional accommodation industry (2018, methodology): “Methodology Given that the data possess a cross-sectional dimension only and a linear relationship between the variables is ensured by taking natural logarithms, Airbnb demand as a function of its determinants can be modeled as a standard multiple (or multivariate) regression model, which reads as f”
- Cash Transfers and Child Schooling: Evidence from a Randomized Evaluation of the Role of Conditionality (2013, methodology): “…are reassuring and while attrition in our sample is low, to further confirm that attrition does not significantly impact our findings, in Appendix Table 7, we reestimate regressions adjusted for attrition using an inverse probability weighting (IPW) approach suggested by Wooldridge (2002, 2010).”
- Greasing the Wheels of Change: Bribery, Institutions, and New Product Introductions in Emerging Markets (2019, methodology): “…perspective, prior literature has proposed a variety of alternative explanations (Svensson, 2003; Bertrand et al., 2007; Galang, 2012) that trump the effects of formal institutions, I also test it empirically using the Durbin–Wu–Hausman test for endogeneity, as discussed in Wooldridge (2010)7.”
- Does entrepreneurial activity matter for economic growth in developing countries? The role of the institutional environment (2019, methodology): “According to Zellner and Theil (1962) and Wooldridge (2010), the advantage of 3SLS is that it is asymptotically more efficient since it takes into account the correlation among the errors of each of the simultaneous equations of interest.”