We develop a non-linear forecast combination rule based on copulas that incorporate the dynamic interaction between individual predictors. This approach is optimal in the sense that the resulting combined forecast produces the highest discriminatory power as measured by the receiver operating...

We study the differences of currency misalignment estimates obtained from alternative datasets derived from two International Comparison Program (ICP) surveys. A decomposition exercise reveals that the year 2005 misalignment estimates are substantially affected by the ICP price revision....

This paper analyses revisions of Swiss current account data, taking into account the actual data revision process and the implied types of revisions. In addition we investigate whether the first release of current account data can be improved upon by the use of survey results as gathered by the...

Investment statistics of the People's Republic of China are a source of many puzzles. Some investment data are of dubious quality, while the particular concepts of investment and their changing definitions over time are often poorly understood. Fixed asset investment, a remnant of the planned...

This paper documents a comparative application of algorithms to deal with the problem of missing values in higher frequency data sets. We refer to Swiss business tendency survey (BTS) data which are conducted in both monthly and quarterly frequency, where an information sub-set is collected at...

This paper examines the responses of private consumption, residential investment, and business investment in 11 EU countries, Japan, and the United States to shocks in housing and equity prices. The effects are assessed with a Structural Vector Auto Regressive (SVAR) model, and four key findings...

Building on a new data set which is combined from national micro-data bases, we highlight differences in the structure of migrants to four countries, viz. France, Germany, the UK and the US, which receive a substantial share of all immigrants to the OECD world. Looking at immigrants by source...