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Low frequency and weighted likelihood solutions for mixed frequency dynamic factor models

Blasques, Francisco; Koopman, Siem Jan; Mallee, Max I. P. - 2014

The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...

Persistent link: https://www.econbiz.de/10010391543

Nowcasting and forecasting economic growth in the Euro area using principal components

Hindrayanto, Irma; Koopman, Siem Jan; Winter, Jasper de - 2014

short-term forecasting models. These empirical findings have been established for different macroeconomic data sets and … specification is most effective in its forecasting performance. Furthermore, the forecast performances of the different … extended empirical out-of-sample forecasting competition for quarterly growth of gross domestic product in the euro area and …

Persistent link: https://www.econbiz.de/10010395082

Inefficiency in Social Security Trust Funds Forecasts

Lahiri, Kajal; Zhang, Junyan; Zhao, Yongchen - 2021

We examine forecast accuracy and efficiency of the Social Security Administration’s projections for cost rate, trust fund balance, trust fund ratio made during 1980-2020 with horizons up to 95 years. We find that the reported deterioration in the accuracy of the forecasts during 2010’s has...

Persistent link: https://www.econbiz.de/10013313449

Exploring the international linkages of the euro area : a global VAR analysis

Dees, Stephane; di Mauro, Filippo; Pesaran, Mohammad Hashem - 2005

This paper presents a global model linking individual country vector error-correcting models in which the domestic variables are related to the country-specific variables as an approximate solution to a global common factor model. This global VAR is estimated for 26 countries, the euro area...

Persistent link: https://www.econbiz.de/10010276161

Macroeconometric modelling with a global perspective

Pesaran, Mohammad Hashem; Smith, Ron P. - 2006

This paper provides a synthesis and further development of a global modelling approach introduced in Pesaran, Schuermann and Weiner (2004), where country specific models in the form of VARX* structures are estimated relating a vector of domestic variables, xit, to their foreign counterparts,...

Persistent link: https://www.econbiz.de/10010276174

Long run macroeconomic relations in the global economy

Dees, Stephane; Holly, Sean; Pesaran, Mohammad Hashem; … - 2007

This paper focuses on testing long run macroeconomic relations for interest rates, equity, prices and exchange rates within a model of the global economy. It considers a number of plausible long run relationships suggested by arbitrage in financial and goods markets, and uses the global vector...

Persistent link: https://www.econbiz.de/10010276204

Identification of new Keynesian Phillips Curves from a global perspective

Dees, Stephane; Pesaran, Mohammad Hashem; Smith, L. Vanessa - 2008

New Keynesian Phillips Curves (NKPC) have been extensively used in the analysis of monetary policy, but yet there are a number of issues of concern about how they are estimated and then related to the underlying macroeconomic theory. The first is whether such equations are identified. To check...

Persistent link: https://www.econbiz.de/10010276218

Bayesian forecasting of US growth using basic time varying parameter models and expectations data

Basturk, Nalan; Ceyhan, Pinar; Dijk, Herman K. van - 2014

forecasting performance of the various model specifications. The extension of a basic growth model with a constant mean to models … expectations is important for forecasting growth in specific periods, such as the the recession periods around 2000s and around …

Persistent link: https://www.econbiz.de/10010399680

Spillover dynamics for systemic risk measurement using spatial financial time series models

Blasques, Francisco; Koopman, Siem Jan; Lucas, André; … - 2014

We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...

Persistent link: https://www.econbiz.de/10010391531

Generalized stochastic gradient learning

Evans, George W.; Honkapohja, Seppo; Williams, Noah - 2005

We study the properties of generalized stochastic gradient (GSG) learning in forward-looking models. We examine how the conditions for stability of standard stochastic gradient (SG) learning both differ from and are related to E-stability, which governs stability under least squares learning. SG...

Persistent link: https://www.econbiz.de/10010261355

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