THE OPTIMAL GOVERNMENT SIZE: FURTHER INTERNATIONAL EVIDENCE ON THE PRODUCTIVITY OF GOVERNMENT SERVICES

This paper estimates the optimal government size for several sets of economies by investigating the role of public services in the production process. I assume government services are optimally provided when their marginal product equals unity (the "Barro rule"). The empirical results suggest: (1) government services are significantly productive; (2) they are overprovided in Africa, underprovided in Asia, and optimally provided everywhere else; (3) the optimal government size is 23 percent for the average country but ranges from 14 percent for the average OECD country to 33 percent in South America; and (4) the marginal productivity of government services is negatively related to government size.     

Restricted maximum likelihood estimation of joint mean‐covariance models

The class of joint mean‐covariance models uses the modified Cholesky decomposition of the within subject covariance matrix in order to arrive to an unconstrained, statistically meaningful reparameterisation. The new parameterisation of the covariance matrix has two sets of parameters that separately describe the variances and correlations. Thus, with the mean or regression parameters, these models have three sets of distinct parameters. In order to alleviate the problem of inefficient estimation and downward bias in the variance estimates, inherent in the maximum likelihood estimation procedure, the usual REML estimation procedure adjusts for the degrees of freedom lost due to the estimation of the mean parameters. Because of the parameterisation of the joint mean covariance models, it is possible to adapt the usual REML procedure in order to estimate the variance (correlation) parameters by taking into account the degrees of freedom lost by the estimation of both the mean and correlation (variance) parameters. To this end, here we propose adjustments to the estimation procedures based on the modified and adjusted profile likelihoods. The methods are illustrated by an application to a real data set and simulation studies. The Canadian Journal of Statistics 40: 225–242; 2012 © 2012 Statistical Society of Canada     

Multiobjective optimisation of production,distribution and capacity planning of global supply chains in the process industry

The performance of a supply chain should usually be measured by multiple criteria. We address production, distribution and capacity planning of global supply chains considering cost, responsiveness and customer service level simultaneously. A multiobjective mixed-integer linear programming (MILP) approach is developed with total cost, total flow time and total lost sales as key objectives. Also, two strategies to expand the formulation plants’ capacities are considered in the model. The ε-constraint method and lexicographic minimax method are used as solution approaches to tackle the multiobjective problem. Finally, a numerical example is investigated to demonstrate the applicability of the proposed model and solution approaches.     

QUANTITATIVE EASING AND THE UK STOCK MARKET: DOES THE BANK OF ENGLAND INFORMATION DISSEMINATION STRATEGY MATTER?

We use intraday aggregate stock market data and an event‐study framework to assess the UK's equity market reaction to the unexpected element of the Bank of England Monetary Policy Committee's (MPC) asset purchase announcements for the 2009–2017 period. We assess the reactions of equity returns and their volatility over various time frames, both preceding and following the MPC announcements. Our results show that the UK unconventional monetary policy shocks have a significant impact on domestic equity returns and volatilities. The strength of this impact depends on the Bank's information dissemination through inflation reports and the publication of the MPC's voting records. (JEL G14, E44, E52)     

Minimal path decomposition of complete bipartite graphs

This paper deals with the subject of minimal path decomposition of complete bipartite graphs. A path decomposition of a graph is a decomposition of it into simple paths such that every edge appears in exactly one path. If the number of paths is the minimum possible, the path decomposition is called minimal. Algorithms that derive such decompositions are presented, along with their proof of correctness, for the three out of the four possible cases of a complete bipartite graph.     

INFLATION DYNAMICS AND THE OUTPUT‐INFLATION TRADE‐OFF: INTERNATIONAL PANEL DATA EVIDENCE

We explore the impact of inflation and its variability on the output‐inflation trade‐off using a single‐step approach in a panel data context. Previous empirical approaches focus on either cross‐country or country‐by‐country time‐series analyses. We employ a dynamic heterogeneous panel specification using an all‐encompassing estimation framework accounting for parameter heterogeneity, cross‐sectional dependence, dynamics, and nonstationarity. Our sample covers 60 countries from 1970 to 2010. While inflation variability reduces the trade‐off for specific periods and country groups, an unambiguous and more pronounced negative relation emerges between the inflation rate and the trade‐off. The findings are consistent with the New Keynesian view. (JEL E31, E12, C23)     

Characterization of hypergeometric type distributions by regression

The conditional distribution of Y given X is proved to be of the positive or the negative hypergeometric law when X follows a positive or a negative hypergeometric distribution, respectively and the regression function of X on Y is of a known linear form     

Technological affluence and subjective well-being

This study measures the welfare effects of technological goods using a recent European pooled cross-sectional dataset. We find that fixed and mobile phones, music players and personal computers, including those with an Internet connection, are associated with significantly higher levels of well-being measured by individual self-reported life satisfaction. Further controlling for mobile and broadband country penetration levels, we provide evidence suggesting that the latter matters for life satisfaction, especially for the users who already possess the relevant devices. Keeping life satisfaction constant, we subsequently derive substantial GDP per capita estimates equivalent to a 10 percentage point increase in broadband and mobile phone penetration.