XTABOND2: Stata module to extend xtabond dynamic panel data estimator
By G. David Roodman. 2003
380 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/b69e63b38f3913a02061bf4f92938e84ee9fefc5
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Citations in the corpus
- The Job Creation Effect of R&D Expenditures (2012, unknown): “10 Data processing was carried out using Stata 11, and GMM estimations were conducted using the routine xtabond2; see Roodman (2005) for details.”
- Corporate trade credit and inventories: New evidence of a trade-off from accounts payable and receivable (2009, methodology): “We excluded 13All our regressions are performed in Stata using the command xtabond2 developed by Roodman (2005).”
- Financial Integration, Investment, and Economic Growth: Evidence from Two Eras of Financial Globalization (2010, methodology): “4 We use the Stata “xtabond2” routine implemented by Roodman (2005) with the one-step robust estimator.”
- Naturally Negative: The Growth Effects of Natural Disasters (2014, methodology): “For differenced and systems GMM, we collapse available instruments to limit instrument proliferation and use the Windmeijer finite sample correction (Roodman, 2009).”
- Does Aid for Education Educate Children? Evidence from Panel Data (2006, background): “Even though Cassen (1986) and White (1998) called for a disaggregated analysis of aid, the heterogeneous nature of aid has received only limited attention in the empirical literature.”
- Testing the Principle of "Growth of the Fitter": The Relationship between Profits and Firm Growth (2005, methodology): “This Hansen J statistic is the (robust) minimized value of the two-step GMM criterion function, whereas the Sargan statistic is the minimized value of the one-step GMM criterion function ( Roodman, 2005 ).”