Should quarterly government finance statistics be used for fiscal surveillane in Europe?

We use a newly available dataset of euro area quarterly national accounts fiscal data and construct multi-variate, state-space mixed-frequencies models for the government deficit, revenue and expenditure in order to assess its information content and its potential use for fiscal forecasting and monitoring purposes. The models are estimated with annual and quarterly national accounts fiscal data, but also incorporate monthly information taken from the cash accounts of the governments. The results show the usefulness of our approach for real-time fiscal policy surveillance in Europe, given the current policy framework in which the relevant official figures are expressed in annual terms. JEL Classification: C53, E6, H6Fiscal policies, forecasting, Mixed frequency data, Unobserved Components

A quarterly fiscal database for the euro area based on intra-annual fiscal information

The analysis of the macroeconomic impact of fiscal policies in the euro area has been traditionally limited by the absence of quarterly fiscal data. To overcome this problem, we provide two new databases in this paper. Firstly, we construct a quarterly database of euro area fiscal variables for the period 1980-2008 for a quite disaggregated set of fiscal variables; secondly, we present a real-time fiscal database for a subset of fiscal variables, composed of biannual vintages of data for the euro area period (2000-2009). All models are multivariate, state space mixed- frequencies models estimated with available national accounts fiscal data (mostly annual) and, more importantly, monthly and quarterly information taken from the cash accounts of the governments. We provide not seasonally- and seasonally-adjusted data. Focusing solely on intra-annual fiscal information for interpolation purposes allows us to capture genuine intra-annual "fiscal" dynamics in the data. Thus, we provide fiscal data that avoid some problems likely to appear in studies using fiscal time series interpolated on the basis of general macroeconomic indicators, namely the well-known decoupling of tax collection from the evolution of standard macroeconomic tax bases (revenue windfalls/shortfalls). JEL Classification: C53, E6, H6.euro area, Fiscal policies, Interpolation, mixed frequencies, Unobserved Components models

System identification, time series analysis and forecasting:The Captain Toolbox handbook.

CAPTAIN is a MATLAB compatible toolbox for non stationary time series analysis, system identification, signal processing and forecasting, using unobserved components models, time variable parameter models, state dependent parameter models and multiple input transfer function models. CAPTAIN also includes functions for true digital control

Analysis of judgmental adjustments in the presence of promotions

Sales forecasting is increasingly complex due to many factors, such as product life cycles that have become shorter, more competitive markets and aggressive marketing. Often, forecasts are produced using a Forecasting Support System that integrates univariate statistical forecasts with judgment from experts in the organization. Managers add information to the forecast, like future promotions, potentially improving accuracy. Despite the importance of judgment and promotions, the literature devoted to study their relationship on forecasting performance is scarce. We analyze managerial adjustments accuracy under periods of promotions, based on weekly data from a manufacturing company. Intervention analysis is used to establish whether judgmental adjustments can be replaced by multivariate statistical models when responding to promotional information. We show that judgmental adjustments can enhance baseline forecasts during promotions, but not systematically. Transfer function models based on past promotions information achieved lower overall forecasting errors. Finally, a hybrid model illustrates the fact that human experts still added value to the transfer function models

The usefulness of infra-annual government cash budgetary data for fiscal forecasting in the euro area

Short-term fiscal indicators based on public accounts data are often used by European policy makers. They represent one of the main sources of publicly available intra-annual fiscal information. Nevertheless, these indicators have received limited attention from the academic literature analysing fiscal forecasting in Europe. Some recent literature suggests the validity of public accounts data to forecast government deficits in the euro area. We extend this literature on two fronts:(i) we shift the focus from indicators of government deficits to look at indicators for government total revenue and total expenditure; (ii) we use a mixed-frequency state-space model to integrate readily available monthly/quarterly cash-based fiscal data with annual general government series (National Accounts). By doing so, we are able to maintain the focus on forecasting and monitoring annual outcomes, while making use of infra-annual fiscal information, available within the current year. The paper makes a case for the use of monthly cash indicators for multi- lateral fiscal surveillance at the European level. JEL Classification: C53, E6, H6euro area, Fiscal forecasting and monitoring, leading indicators

A quarterly fiscal database for the euro area based on intra-annual fiscal information

The analysis of the macroeconomic impact of fiscal policies in the euro area has been traditionally limited by the absence of quarterly fiscal data. To overcome this problem, we provide two new databases in this paper. Firstly, we construct a quarterly database of euro area fiscal variables for the period 1980-2008 for a quite disaggregated set of fiscal variablessecondly, we present a real-time fiscal database for a subset of fiscal variables, composed of bi-annual vintages of data for the euro area period (2000-2009). All models are multivariate, state-space mixed-frequencies models estimated with available national accounts fiscal data (mostly annual) and, more importantly, monthly and quarterly information taken from the cash accounts of the governments. We provide not seasonallyand seasonally-adjusted data. Focusing solely on intra-annual fiscal information for interpolation purposes allows us to capture genuine intra-annual "fiscal" dynamics in the data. Thus, we provide fiscal data that avoid some problems likely to appear in studies using fiscal time series interpolated on the basis of general macroeconomic indicators, namely the well-known decoupling of tax collection from the evolution of standard macroeconomic tax bases (revenue windfalls/shortfalls)

Short-term monitoring of the Spanish government balance with mixed-frequencies models

We construct multivariate, state-space mixed-frequencies models for the main componentsof the Spanish General Government sector made up of blocks for each one of its subsectors: Central Government, Social Security and aggregate of Regional and Local government sectors. Each block is modelled through its total revenue and expenditure categories, and encompasses a number of indicators, depending on data availability. The mixed-frequencies approach is particularly relevant for the case of Spain, given its institutional set-up and the specific data availability for the different subsectors. All in all, we provide models detailed enough in coverage, while at the same time manageable, to be used: (i) for real-time monitoring of fiscal policies with a focus on quarterly developments of the General Government sector(ii) for the monitoring of general government sub-sectors for which intra-annual data coverage is limited (Regional and Local governments), and (iii) to bridge (translate) into National Accounts available monthly information for the subsectors of the general governmen

SSpace: A Toolbox for State Space Modeling

SSpace is a MATLAB toolbox for state space modeling. State space modeling is in itself a powerful and flexible framework for dynamic system modeling, and SSpace is conceived in a way that tries to maximize this flexibility. One of the most salient features is that users implement their models by coding a MATLAB function. In this way, users have complete flexibility when specifying the systems, have absolute control on parameterizations, constraints among parameters, etc. Besides, the toolbox allows for some ways to implement either non-standard models or standard models with non-standard extensions, like heteroskedasticity, time-varying parameters, arbitrary nonlinear relations with inputs, transfer functions without the need of using explicitly the state space form, etc. The toolbox may be used on the basis of scratch state space systems, but is supplied with a number of templates for standard widespread models. A full help system and documentation are provided. The way the toolbox is built allows for extensions in many ways. In order to fuel such extensions and discussions an online forum has been launched

A toolkit to strengthen government budget surveillance

En este trabajo presentamos una herramienta para el seguimiento en tiempo real de la ejecución presupuestaria de las Administraciones Públicas en España. La herramienta incorpora un conjunto amplio de modelos estadísticos, con diferentes niveles de agregación entre partidas presupuestarias y subsectores de las Administraciones Públicas, que permiten procesar de manera efi ciente la sustancial información mensual y trimestral publicada actualmente por las autoridades estadísticas en España. La principal utilidad de la herramienta es complementar el análisis habitualmente realizado para detectar de manera anticipada posibles riesgos de desviación con respecto a los objetivos fi scales ofi cialesIn this paper we develop a comprehensive short-term fiscal forecasting system of use for the real-time monitoring of the Spanish government’s borrowing requirement. Spain has been at the centre of the recent European sovereign debt crisis, not least because of sizeable failures in meeting public defi cit targets. The system comprises a suite of models, with different levels of disaggregation (bottom-up vs top-downgeneral government vs sub-sectors), which are suitable for the automatic processing of the large amount of monthly/quarterly fi scal data currently published by the Spanish statistical authorities. Our tools are instrumental in the ex-ante detection of risks to offi cial projections, and can thus help reduce the ex-post reputational costs of budgetary slippage. On the basis of our results, we discuss how offi cial monitoring bodies could expand, on one hand, their toolkit to evaluate regular adherence to targets (moving beyond a legalistic approach) and, on the other, their communication policies as regards sources of risks to (ex-ante) compliance with budgetary target