Random Coefficient Models for Time-Series—Cross-Section Data: Monte Carlo Experiments
By Nathaniel L. Beck, Jonathan N. Katz. Political Analysis, 2004
217 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/7829bdd72da73aad3fcf26ce7eefb57303ee6c86
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Joshua K. Ault
- André Spicer
- Nathaniel Becky
- Jonathan N. Katz
- E. Voeten
- James H. Lebovic
- Sam Jones
- F. Tarp
In Statistics and Probability
Citations in the corpus
- The Cost of Shame: International Organizations and Foreign Aid in the Punishing of Human Rights Violators (2009, background): “…the fixed-effects model.21 This model can be estimated through full MLE and offers considerable advantages over alternative pooling assumptions (see Beck & Katz, 2007).22 We include the measures for human rights abuses both as levels and changes, acknowledging the possibility that short-term…”
- The institutional context of poverty: State fragility as a predictor of cross‐national variation in commercial microfinance lending (2014, methodology): “Before choosing RCM over panel-data regression, we followed the recommendation of the RCM literature to test the relative strength of the two models (Beck and Katz, 2007; Bliese and Ployhart, 2002; Ployhart and Vandenberg, 2010).”
- Modeling Dynamics in Time-SeriesCross-Section Political Economy Data (2011, background): “Another cross-sectional feature that should be considered (see Beck & Katz 2007 and the references cited there) is that parameters may vary randomly by country, and possibly as a function of country-level covariates.”