Forecasting the UK economy with a medium-scale Bayesian VAR

We estimate a Bayesian VAR (BVAR) for the UK economy and assess its performance in forecasting GDP growth and CPI inflation in real time relative to forecasts from COMPASS, the Bank of England’s DSGE model, and other benchmarks. We find that the BVAR outperformed COMPASS when forecasting both GDP and its expenditure components. In contrast, their performances when forecasting CPI were similar. We also find that the BVAR density forecasts outperformed those of COMPASS, despite under-predicting inflation at most forecast horizons. Both models over-predicted GDP growth at all forecast horizons, but the issue was less pronounced in the BVAR. The BVAR’s point and density forecast performances are also comparable to those of a Bank of England in-house statistical suite for both GDP and CPI inflation, as well as to the official Inflation Report projections. Our results are broadly consistent with the findings of similar studies for other advanced economies.     

Magic mirror in my hand … How trade mirror statistics can help us detect illegal financial flows

Misreporting tricks of different sorts applied to the transfer of goods between different countries are typically exploited by criminals worldwide for money laundering ends. The main international anti‐money laundering organisations started paying attention to this phenomenon, dubbed “trade‐based money laundering” (TBML), a long time ago, but the failure to develop appropriate analytical tools has reportedly dogged preventive actions. Nonetheless, literature has widely advocated the possibility that the analysis of inconsistencies in mirrored bilateral trade data could provide some help. By building on previous contributions in the field, this work sets up a model factoring in the main structural determinants of discrepancies between mirrored data concerning Italy's 2010 to 2013 external trade at a highly detailed (6‐digit) level of goods classification for each partner country. Point estimates of freight costs are used to net each observation of the corresponding cif/fob discrepancy. The regression estimates are then deployed in order to compute TBML risk indicators at a country/4‐digit product level. Based on the indicators, rankings of countries and product lines can be compiled, which may be used for a risk‐driven search of potential illegal commercial transactions.     

我国旅游地区收入分析及对策探讨

旅游收入是旅游经济活动的重要内容，它一方面反映了旅游者的旅游需求通过旅游经营者的旅游供给而不断得到满足，另一方面又体现着旅游产业部门和企业在产经营活动的价值运行与价值实现。旅游收入与分配是旅游经济运行的前提，对其进行考察分析，是十分重要的。本章从收入和分配两个方面入手，对旅游收入分类、指标、旅游企业收入和分配以及旅游收入乘数的作用等进行了分析和阐述。     

Strategic knowledge sharing in Bayesian games

This paper provides a model for the study of direct, public and strategic knowledge sharing in Bayesian games. We propose an equilibrium concept which takes into account communication possibilities of exogenously certifiable statements and in which beliefs off the equilibrium path are explicitly deduced from consistent possibility correspondences, without making reference to perturbed games. Properties of such an equilibrium and of revised knowledge are examined. In particular, it is shown that our equilibrium is always a sequential equilibrium of the associated extensive form game with communication. Finally, sufficient conditions for the existence of perfectly revealing or non-revealing equilibria are characterized in some classes of games. Several examples and economic applications are investigated.     

An objective Bayesian analysis of common stochastic trends in international stock prices and exchange rates

This paper uses Bayesian methods to analyze unit root and cointegration properties of two different finance data sets. Avoiding the use of subjective prior information, the paper surveys and utilizes several different objective Bayesian methodologies in an investigation of common stochastic trends in international stock markets and in spot and forward exchange rates for several different countries.     

加强企业统计基础工作初探

文章提出规范和加强企业统计基础工作是确保源头数据质量的需要,并通过对企业统计工作的现状、存在的问题、统计基础工作薄弱的原因进行分析,提出了加强和改进企业统计工作的几点建议。     

Effet des Evolutions Techniques et des Changements de la Spécialisation Internationale sur les Marchés du Travail et les Systèmes Productifs: Comment les Statisticiens Pourraient-ils Relever les Défis?

Thinking about future needs and about what can reasonably be expected as feasible in the next century, how should producers of statistics direct their activity? Increasing complexity and diversity of needs leads us to recognize that, between producers and users of statistics, a mediating role is more and more often played by analysts and research workers who are requesting above all good data bases. Concerning infrastructures for statistics on productive systems, coordination between accountants and statisticians will be crucial, as well as adaptation of the constraints which, because of excessive worry about confidentiality, could prevent establishment or use of data bases. In an increasingly competitive world, where private firms will sell analyses and informations, particularly on very large enterprises, the public statistical service will remain essential in all respects. Intangible investments, innovations and many aspects of the internal organization of firms will create formidable challenges. Information on employment and labour markets has been much developed during the past decades; but on a few specific and difficult issues progress is still needed: lifecyles in the working-age population, acquisition of knowledge and skills in formal education and on the job, matching labour supplies and demands, and so on. Particular attention will have to be given to the lower levels of cultural and professional skills.