We introduce a high-dimensional structural time series model, where co-movement between the components is due to common factors. A two-step estimation strategy is presented, which is based on principal components in differences in a first step and state space methods in a second step. The...

The purpose of this paper is to build consistent, integrated datasets to investigate whether various disaggregated data can shed light on the possible sources of the statistical discrepancy. Our strategy is first to use disaggregated data to estimate consistent sets of input-output models that...

Measurement errors in macroeconomic aggregates such as GDP have been widely lamented, particularly in low-income contexts. This study investigates the reliability of one component of national accounts, agricultural sector output. Focusing first on the case of Mozambique, we use a series of 12...

The purpose of this paper is to build consistent, integrated datasets to investigate whether various disaggregated data can shed light on the possible sources of the statistical discrepancy. Our strategy is first to use disaggregated data to estimate consistent sets of input-output models that...

According to KENDRICK (1996, p. 1), National Accounts have become an indispensable tool for macroeconomic analysis, projections, and policy formulation. The paper elaborates on this statement, addressing policy domains that rely heavily on National Accounts data. Yet - useful as they are -...

We investigate a switch from fixed-weighted national accounts data to chain-type data in the quarterly macroeconometric model Mona. As in other countries the idea behind this change in the national accounts data has been to reduce the substitution bias, which has grown with the amount of...