This paper applies a fractional integration framework to analyse the stochastic behaviour of two Russian stock market volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period 2010-2018. The empirical findings are consistent...

This paper studies the selection of information collecting agents by policy makers in the light of two agency problems. First, it is often hard to ascertain how much effort agents have put in acquiring information. Second, when agents have an interest in the policy outcome, they may manipulate...

In a multiperiod setting, decision-makers can learn about the consequences of their decisions throughexperimentation. In this paper we examine how in a two-party system polarization and political instability affectlearning through experimentation. We distinguish two cases:the decision to be made...

The potential relationship between domestic environmental regulation and internationalcompetitiveness has evoked various speculations. The common neoclassical train of thought is thatstrict environmental regulation is detrimental to the competitiveness of industry, and that itinduces phenomena...

We study a model of collective decision making with endogenous information collection.Agents collect information about the consequences of a project, communicate, and then vote onthe project. We examine under what conditions communication may increase the probability thatgood decisions are made....

The collection of information necessary fordecision-making is often delegated to agents (e.g. bureaucrats,advisors, lawyers). If both the pros and cons of a decision haveto be examined, it is better to use competing agents instead of asingle agent. The reason is that two conflicting pieces...

The empirical economic growth literature is criticized for its lack ofrobustness. For different definitions of robustness, conclusions vary from 'almost everycorrelation is fragile' to 'a substantial number of explanatory variables are robust.' Were-analyze the empirical results of the economic...

The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...

We study the performance of two analytical methods and one simulation method for computing in-sample confidence bounds for time-varying parameters. These in-sample bounds are designed to reflect parameter uncertainty in the associated filter. They are applicable to the complete class of...

We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...