Statistics Working Paper N. 46- 2012/1 - The paper explores issues with assessing wellbeing in OECD countries based on self-reported life satisfaction surveys in a pooled regression over time and countries, at the country level and the OECD average. The results, which are in line with previous studies of subjective wellbeing, show that, apart from income, the state of health, not being unemployed, and social relationships are
Statistics Working Paper N. 44- 2011/9 - Time distance is an innovative approach for looking at time-series data. Expressed in time units, the approach is easy to understand and provides a useful complement to existing methods. The time distance approach compares time series in the horizontal dimension, i.e. for a given level of the variable, based on two generic statistical measures: S-time-distance and S-time-step. These measures
Statistics Working Paper N. 43- 2011/8 - This OECD Statistics Working Paper looks at four major areas of social policies– health status, literacy and learning, economic security, and economic inequality– with the aim of understanding how to link broad outcome measures of progress in these areas, on the one hand, and the policies bearing on them, on the other. Emphasis is given to the powerful benefits to be derived from coupling
Statistics Working Paper N. 42- 2011/7 - This Statistics Working Paper reports on work undertaken within the Statistics Directorate to measure the value of household production of non-market services, in order to better compare material well-being across countries. The work is being conducted under the aegis of the National Accounts Working Party and as input into the broader OECD activity on Measuring Progress. It responds to the
Statistics Working Paper N. 41- 2011/6 - This paper summarizes the outcomes of the first phase of the OECD human capital project. In so doing, it shows the feasibility of applying the lifetime income approach to measuring human capital forcomparative analysis, both across countries and over time. It also highlights the feasibility of applying the methodology to the categorical data (i.e. by 5-year or 10-year age group) that are
Statistics Working Paper N. 40- 2011/5 - Following recommendations from the Stiglitz-Sen-Fitoussi Commission (2009), this OECD Statistics Working Paper proposes the use of a new methodology to measure the joint distribution of households. income, consumption and wealth. Based on a multidimensional extension of the Atkinson generalized mean framework, the paper justifies the application of this methodology based on a set of standard
Statistics Working Paper N. 39- 2011/4 - This paper reports on revision properties of different de-trending and smoothing methods (cycle estimation methods), including PAT with MCD smoothing, a double Hodrick-Prescott (HP) filter and the Christiano-Fitzgerald (CF) filter. The different cycle estimation methods are rated on their revision performance in a simulated real time experiment. Our goal is to find a robust method that gives
Statistics Working Paper N. 38- 2011/3 - This Statistics Working Paper includes the documents that were presented during the various sessions of the Workshop on Securitisation, held in Madrid on 27-28 May 2010, as well as summaries at the beginning of each section.The Workshop brought together regular members of the Working Party on Financial Statistics (WPFS), statisticians, analysts, supervisors, experts from accounting
Statistics Working Paper N. 37- 2011/2 - This paper presents a simple multiplicative masking method that preserves skewness of the original data while offering a sufficient level of disclosure risk control. Numerical examples are provided, leading to the suggestion that this method could be well-suited for the dissemination of a broad range of microdata, including those based on administrative and business records.
Statistics Working Paper N. 36- 2011/1 - Every house is different. It is important that house price indexes take account of these quality differences. Hedonic methods which express house prices as a function of a vector of characteristics (such as number of bedrooms and bathrooms, land area and location) are particularly useful for this purpose.