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

"Rule growth and government effectiveness: why it takes the capacity to learn and coordinate to constrain rule growth" is an article by Christian Adam, Christoph Knill and Xavier Fernández i Marín published at Policy Sciences in 2016. This webpage contains supplemental online material that complements the published paper with DOI: 10.1007/s11077-016-9265-x.

Figures and videos of the evolution of government portfolios

Australia

Australia from Xavier Fernández i Marín on Vimeo.

Austria

Austria from Xavier Fernández i Marín on Vimeo.

Belgium

Belgium from Xavier Fernández i Marín on Vimeo.

Canada

Canada from Xavier Fernández i Marín on Vimeo.

Denmark

Denmark from Xavier Fernández i Marín on Vimeo.

Finland

Finland from Xavier Fernández i Marín on Vimeo.

France

France from Xavier Fernández i Marín on Vimeo.

Germany

Germany from Xavier Fernández i Marín on Vimeo.

Greece

Greece from Xavier Fernández i Marín on Vimeo.

Ireland

Ireland from Xavier Fernández i Marín on Vimeo.

Italy

Italy from Xavier Fernández i Marín on Vimeo.

Japan

Japan from Xavier Fernández i Marín on Vimeo.

Korea, Republic of

Korea, Republic of from Xavier Fernández i Marín on Vimeo.

Netherlands

Netherlands from Xavier Fernández i Marín on Vimeo.

New Zealand

New Zealand from Xavier Fernández i Marín on Vimeo.

Norway

Norway from Xavier Fernández i Marín on Vimeo.

Portugal

Portugal from Xavier Fernández i Marín on Vimeo.

Spain

Spain from Xavier Fernández i Marín on Vimeo.

Sweden

Sweden from Xavier Fernández i Marín on Vimeo.

Switzerland

Switzerland from Xavier Fernández i Marín on Vimeo.

Turkey

Turkey from Xavier Fernández i Marín on Vimeo.

United Kingdom

United Kingdom from Xavier Fernández i Marín on Vimeo.

United States

United States from Xavier Fernández i Marín on Vimeo.

Government effectiveness against rule growth

Government effectiveness against rule growth

Code

The code for the empirical models in the BUGS/JAGS declarative language follows:


# Adam, Knill & Fernández-i-Marín

model {
  for (s in 1:nS) {
    for (c in 1:nC) {
      YS[c, s, 1] ~ dt(mu[c, s], tau[s], nu[s])  # YS[,,1] refers to Means
      mu[c, s] <-
                     theta[s, 1] * veto.players[c]
                   + theta[s, 2] * gdp.capita[c]
                   + theta[s, 3] * gdpc.ratio[c]
                   + theta[s, 4] * gov.eff[c]
                   + theta[s, 5] * trade[c]
                   + theta[s, 6] * green[c]
                   + theta[s, 7] * socialist[c]
                   + theta[s, 8] * leaders.environmental[c]
                   + theta[s, 9] * liberal.social[c]
    }
    tau[s] <- pow(sigma[s],-2)
    sigma[s] ~ dunif(0, 4)
    nu[s] <- 1 + (-1*log(nu.trans[s]))
    nu.trans[s] ~ dunif(0, 1)
  }
  # Priors for main effects
  for (v in 1:5) {
    for (s in 1:nS) {
      theta[s, v] ~ dnorm(Theta[v], tau.theta[v])
    }
    Theta[v] ~ dnorm(0, 0.001)
    tau.theta[v] <- pow(sigma.theta[v], -2)
    sigma.theta[v] ~ dgamma(1, 5)
  }
  theta[1, 6] ~ dnorm(0, 0.001)  # environmental, green
  theta[2, 6] <- 0               # social, green
  theta[1, 7] <- 0               # environmental, socialist
  theta[2, 7] ~ dnorm(0, 0.001)  # social, socialist
  theta[1, 8] ~ dnorm(0, 0.001)  # environmental, leaders.environmental
  theta[2, 8] <- 0               # social, leaders.environmental
  theta[1, 9] <- 0               # environmental, liberal.social
  theta[2, 9] ~ dnorm(0, 0.001)  # social, liberal.social
  # Missing data for Consensus
  for (c in 1:nC) {
    veto.players[c] ~ dnorm(0, 0.5)
  }
}

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