Abstract

Macro-integration technique is a well established method forreconciliation of large, high-dimensional tables, especially applied to macroeconomic data at national statistical oces (NSO). This technique is mainly used when data obtained from dierent sources should be reconciled on a macro level. New areas of applications for this technique arise as new data sources become available to NSO's. Often these new data sources cannot be combined on a micro level, while macro integration could provide a solution for such problems. Yet, more research should be carried out to investigate if in such situations macro integration could indeed be applied. In this paper we propose two applications of macro-integration techniques in other domains than the traditional macro-economic applications. In particular: reconciliation of tables of a virtual census and reconciliation of monthly series of short term statistics gures with the quarterly gures of structural business statistics.

Highlights

  • Macro-integration is widely used for reconciliation of macro figures, usually in the form of large multi-dimensional tabulations, obtained from different sources

  • The methods for macro-integration have developed over the years and have become very versatile techniques for solving integration of data from different sources at macro level

  • In this paper we investigate the application of macro-integration techniques in the following areas: reconciliation of tables for the Census 2011 and reconciliation of monthly short term statistics figures with the quarterly structural business statistics figures

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Summary

Introduction

Macro-integration is widely used for reconciliation of macro figures, usually in the form of large multi-dimensional tabulations, obtained from different sources. These techniques have been extensively applied in the area of macro-economics, especially in the compilation of the National Accounts, for example to adjust input-output tables to new margins Combining different data at macro level, while taking all possible relations between variables into account, is the main objective of reconciliation or macro-integration. The methods for macro-integration have developed over the years and have become very versatile techniques for solving integration of data from different sources at macro level. In this paper we propose new applications of macro-integration techniques in other domains than the traditional macroeconomic applications

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