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Patrick Sandars
- 30 September 2013
- STATISTICS PAPER SERIES - No. 3Details
- Abstract
- Traditional literature on sampling techniques focuses mainly on statistical samples and covers non-random (non-statistical) samples only marginally. Nevertheless, there has been a recent revival of interest in non-statistical samples, given their widespread use in certain fields like government surveys and marketing research, or for audit purposes. This paper attempts to set up common rules for non-statistical samples in which only data on the largest institutions within each stratum are collected. This is done by focusing on the statistics compiled by the European System of Central Banks (ESCB) on the interest rates of monetary financial institutions (MFIs) in countries of the European Union. The paper concludes by proposing a way of establishing common rules for non-statistical samples based on a synthetic measurement of a mean of absolute errors.
- JEL Code
- C42 : Mathematical and Quantitative Methods→Econometric and Statistical Methods: Special Topics→Survey Methods
E43 : Macroeconomics and Monetary Economics→Money and Interest Rates→Interest Rates: Determination, Term Structure, and Effects
Annexes- 2 December 2013
- ANNEX
- 25 April 2013
- OCCASIONAL PAPER SERIES - No. 145Details
- Abstract
- Timely and accurate data are key to the preparation of macro-prudential policy recommendations and decisions by the ESRB, as well as to monitoring policy decisions in terms of their impact on, or transmission to, the financial and non-financial economy. This paper illustrates the work that has been carried out by the European Central Bank, the European Systemic Risk Board and the European Supervisory Authorities over a period of more than two years from 2010 to 2012 to prepare, develop, implement and manage the initial set of statistical and supervisory information necessary to support the European Systemic Risk Board, from its inception in January 2011. The paper also touches on the statistical information that is provided to support the financial stability function of the European Central Bank.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G22 : Financial Economics→Financial Institutions and Services→Insurance, Insurance Companies, Actuarial Studies
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
E60 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→General
- 9 January 2009
- OCCASIONAL PAPER SERIES - No. 100Details
- Abstract
- The first part of this paper provides a brief survey of the recent literature that employs survey data on household finance and consumption. Given the breadth of the topic, it focuses on issues that are particularly relevant for policy, namely: i) wealth effects on consumption, ii) housing prices and household indebtedness, iii) retirement income, consumption and pension reforms, iv) access to credit and credit constraints, v) financial innovation, consumption smoothing and portfolio selection and vi) wealth inequality. The second part uses concrete examples to summarise how results from such surveys feed into policy-making within the central banks that already conduct such surveys.
- JEL Code
- C42 : Mathematical and Quantitative Methods→Econometric and Statistical Methods: Special Topics→Survey Methods
D12 : Microeconomics→Household Behavior and Family Economics→Consumer Economics: Empirical Analysis
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance - Network
- Eurosystem Monetary Transmission Network
- 28 April 2005
- OCCASIONAL PAPER SERIES - No. 26Details
- Abstract
- This paper presents the methodological and statistical framework for macro-prudential analysis of the financial condition of the EU banking sector that has been adopted by the European System of Central Banks (ESCB). The framework is also a central component of broader financial stability assessments carried out by the ECB in co-operation with national authorities. The framework has three main building blocks, which draw on a large number of macro-prudential indicators. The first block is designed for assessing the financial condition of the banking sector. The second building block provides a framework for analysing potential sources of risk and vulnerability to which banks are exposed and an assessment of the importance of related exposures. The final part of the analysis deals with the resilience of banks vis-
- JEL Code
- C82 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs→Methodology for Collecting, Estimating, and Organizing Macroeconomic Data, Data Access
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages