ggmcmc

Rule growth and government effectiveness: why it takes the capacity to learn and coordinate to constrain rule growth

This paper asks whether strong bureaucracies can effectively constrain the continuously growing stock of rules in modern democracies through organizational coordination and learning. To answer this question, the paper analyzes the growth of rule …

ggmcmc: Analysis of MCMC Samples and Bayesian Inference

ggmcmc is an R package for analyzing Markov chain Monte Carlo simulations from Bayesian inference. By using a well known example of hierarchical/multilevel modeling, the article reviews the potential uses and options of the package, ranging from …

Using ggmcmc

There is a pdf version of Using the ggmcmc package. Why ggmcmc? ggplot2, based on the grammar of graphics (Wilkinson et al. 2005), empowers R users by allowing them to flexibly crate graphics (Wickham 2009).

The emergence of Regulatory Regionalism: transnational networks and the diffusion of regulatory agencies within regions

The regulatory regionalism approach has increasingly claimed that a new mode of regional governance is emerging globally. Regional policy regimes, developed in broad social and economic territorial areas, affect the internal transformation of the …

EI competencies as a related but different characteristic than intelligence

Amid the swarm of debate about emotional intelligence (EI) among academics are claims that cognitive intelligence, or general mental ability (_g_), is a stronger predictor of life and work outcomes as well as the counter claims that EI is their …