Evaluation of dynamic stochastic general equilibrium models based on distributional comparison of simulated and historical data

We take as a starting point the existence of a joint distribution implied by different dynamic stochastic general equilibrium (DSGE) models, all of which are potentially misspecified. Our objective is to compare “true” joint distributions with ones generated by given DSGEs. This is accomplished via comparison of the empirical joint distributions (or confidence intervals) of historical and simulated time series. The tool draws on recent advances in the theory of the bootstrap, Kolmogorov type testing, and other work on the evaluation of DSGEs, aimed at comparing the second order properties of historical and simulated time series. We begin by fixing a given model as the “benchmark” model, against which all “alternative” models are to be compared. We then test whether at least one of the alternative models provides a more “accurate” approximation to the true cumulative distribution than does the benchmark model, where accuracy is measured in terms of distributional square error. Bootstrap critical values are discussed, and an illustrative example is given, in which it is shown that alternative versions of a standard DSGE model in which calibrated parameters are allowed to vary slightly perform equally well. On the other hand, there are stark differences between models when the shocks driving the models are assigned non-plausible variances and/or distributional assumptions.     

What Affects New and Established Firms’ Expansion? Evidence from Small Firms in Russia

Research on financial constraints of very small firms is scarce because it is difficult to observe and measure their transactions. Previous studies on small enterprises in post-communist countries have focused either on the effect of financing constraints on business growth (Budina et al., 2000, Economics of Transition 8(2), 453–475; Bratkowski et al., 2000, Economics of Transition 8(1), 101–116) or on the effect of property rights (Johnson et al., 2002, American Economic Review 92(5), 1335–1357). This paper provides evidence on both. It turns out that financing constraints and property rights considerations affects investment in firms of different age differently. Younger firms face higher information costs and their expansion is more dependent on the availability of internal funds than is the expansion of older firms. This paper also finds that while the financial sector did not channel funds to the most successful businesses, there is evidence that loans were given to firms that had more transparent transactions. Results also indicate that the security of property rights does not influence investment in young firms, which is interpreted to mean that only the most efficient entrepreneurs entered the market. In older small firms, investment is negatively influenced by the index of security of property rights suggesting that these firms might have “secured” their property rights by bribes. Improvements in the security of property rights, therefore, would help more micro enterprises to be born as well as decrease transaction cost of established enterprises.      

Testing for structural stability of factor augmented forecasting models

Mild factor loading instability, particularly if sufficiently independent across the different constituent variables, does not affect the estimation of the number of factors, nor subsequent estimation of the factors themselves (see e.g.  Stock and Watson (2009)). This result does not hold in the presence of large common breaks in the factor loadings, however. In this case, information criteria overestimate the number of breaks. Additionally, estimated factors are no longer consistent estimators of “true” factors. Hence, various recent research papers in the diffusion index literature focus on testing the constancy of factor loadings. However, forecast failure of factor augmented models can be due to either factor loading instability, regression coefficient instability, or both. To address this issue, we develop a test for the joint hypothesis of structural stability of both factor loadings and factor augmented forecasting model regression coefficients. Our proposed test statistic has a chi-squared limiting distribution, and we are able to establish the first order validity of (block) bootstrap critical values. Empirical evidence is also presented for 11 US macroeconomic indicators.     

Predictive density construction and accuracy testing with multiple possibly misspecified diffusion models

This paper develops tests for comparing the accuracy of predictive densities derived from (possibly misspecified) diffusion models. In particular, we first outline a simple simulation-based framework for constructing predictive densities for one-factor and stochastic volatility models. We then construct tests that are in the spirit of Diebold and Mariano (1995) and White (2000). In order to establish the asymptotic properties of our tests, we also develop a recursive variant of the nonparametric simulated maximum likelihood estimator of Fermanian and Salanié (2004). In an empirical illustration, the predictive densities from several models of the one-month federal funds rates are compared.     

The economic impact of digital technologies in Europe

This paper analyses the economic impact of digital technologies in Europe distinguishing between different stages/domains of the digitalization process. A set of composite Information and Communication Technologies (ICT) indicators is used for capturing the access to ICTs, the ability to use them and the digital empowerment of individuals in key social and economic domains. We argue that the mere accessibility to ICT facilities is only a pre-condition for moving towards a digitalized society, while the ‘level’ and the ‘quality’ in the use of these technologies, as well as the conditions facilitating or hampering digital empowerment, play a much more important role. Several transmission mechanisms from ICT access, usage and digital empowerment to key macro-economic variables (namely labour productivity, gross domestic product per capita, employment growth and the employment rate) are identified. The econometric evidence supports our hypotheses showing that the usage of ICT, and mostly digital empowerment, exert the major economic effects, especially on employment also favouring the inclusion of ‘disadvantaged’ groups in the labour market. We conclude that digitalization may drive productivity and employment growth and that inclusive policies may effectively contribute to bridge the gap between the most favoured and the disadvantaged parts of the population, thus helping in achieving the 2020 Europe targets.     

The environmental sustainability of protected area tourism: towards a concession-related theory of regulation

Demand for Protected Area (PA) tourism continues to grow, raising concerns for its environmental sustainability. Numerous sustainable tourism guidelines and best practice examples exist for separate aspects of PA regulation and management. However, such efforts are insufficient to reliably and holistically understand how regulation can mediate the relationship between tourism development and PA environmental sustainability. This paper proposes a theory development project, to map the compatibility and interplays among various regulatory approaches, and their consequences for sustainable PA tourism. The project is initiated here by taking the first steps toward a concession-related theory of regulation. The focus on concessions has been chosen because concessions are the most under-researched aspects of PA tourism regulation. Four regulatory aspects are selected and conceptualized in this paper: the approaches to PA planning, the types of monitoring undertaken, the methods of concession allocation and the design of environmental requirements in concession contracts. Methodologically, grounded theory is used, with data collection relying on written sources. The paper develops two sets of narrative statements regarding the prospects for PA environmental sustainability, under particular examples of concession-related regulation. The conclusion articulates several research questions, as an immediate research agenda, and calls for an international research group to be formed.     

Preference erosion and the developing countries exports to the EU: a dynamic panel gravity approach

The erosion of preferences due to multilateral tariff reductions is a long-standing concern for many developing countries. This paper focuses on the erosion of the preferences granted by the EU in the rice industry. Since 2004 there has been a sharp decrease in border protection for the EU rice industry. Because the EU grants trade preferences to a considerable number of rice exporting developing countries, the reform implied preference erosion as well. By addressing the impact of preference erosion on developing countries rice exports to the EU, this paper contributes two original insights to the literature: first, by proposing a new empirical approach to compute the preference margin when tariff rate quotas are in force which is based on the assumption of the existence of fixed costs and economies of scale in international trade; second, by estimating the trade elasticities of preferences by means of a dynamic panel gravity equation to deal with the issues of endogeneity of preferences and persistency in bilateral trade flows. The results show that the way preference margins are calculated matters significantly when assessing the existence and extent of their erosion and the values of trade elasticities. Finally, the estimations highlight the fact that the impact of preferences is still very strong for some of the countries concerned.