Solutions manual and supplementary material for econometric analysis of cross section and panel data, second edition
By Jeffrey M. Wooldridge. 2007
411 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/562ce333a274a7ab8039d9bca796892e5acd61e8
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- Paolo Paruolo
- Michaela Saisana
- Josh Kinsler
- Andrea Saltelli
- William E. Griffiths
- G. Hajargasht
- Jeffrey M. Wooldridge
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Citations in the corpus
- Malthus living in a slum: Urban concentration, infrastructures and economic growth (2017, unknown): “The estimate for will be the same than (see Wooldridge 2010 for the equivalence between IV and control function approach estimates in linear models): (E.6) which equals to: (E.7) and where will be the adjustment for simultaneity bias done to an estimate of in which simultaneity bias was not…”
- Impact of improved maize varieties on food security in Eastern Zambia: A doubly robust analysis (2018, unknown): “Electronic copy available at: https://ssrn.com/abstract=3272422 Wooldridge, 2010).”
- Assessing Rothstein's critique of teacher value‐added models (2012, methodology): “The p-values are for the test of the hypothesis that all teacher coefficients equal zero, using the heteroskedasticityrobust score test proposed by Wooldridge (2010).”
- Gravity Equations: Workhorse,Toolkit, and Cookbook (2013, unknown): “…for four versions of the following data generating process (where ui 39Other drawbacks of the negative binomial include (a) as pointed out in Wooldridge (2010), the one-step form of Stata’s negbin command lacks the robustness properties of the other PML, (b) even the 2-step method does not…”
- Ratings and rankings: voodoo or science? (2011, background): “In fact, it is well known that when fi is linear, i.e. fi (xi) = αi + βixi, it coincides with the L2 projection of y on xi, which implies that βi = cov(y, xi)/σii, see e.g. Wooldridge (2010).”
- Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables (2014, methodology): “Wooldridge (2005) shows that, under the maintained assumptions,”
- Panel Data Models with Grouped Factor Structure Under Unknown Group Membership (2013, unknown): “The procedure enriches the toolbox for panel data analysis, which has been widely used by researchers, as is evidenced by the popularity of the monographs and textbooks of Arellano (2003), Baltagi (2008), Hsiao (2003), and Wooldridge (2010).”
- Some models for stochastic frontiers with endogeneity (2016, methodology): “See Wooldridge (2010) for a review and for references to these applications.”