نتایج جستجو برای: gcc jel classification c22

تعداد نتایج: 506145  

2004
Jan Jacobs Jan-Egbert Sturm

This paper studies the information content of some Ifo indicators. In particular, we investigate whether two Ifo indicators, one on the current business situation, the other on current production development, provide information on revisions of German industrial production. A new feature of our analysis is the construction and use of a real-time dataset. We conclude that the Ifo indicators play...

2009
Oleg Korenok

This paper reviews the analysis of the threshold autoregressive, smooth threshold autoregressive, and Markov switching autoregressive models from the Bayesian perspective. For each model we start by describing a baseline model and discussing possible extensions and applications. Then we review the choice of prior, inference, tests against the linear hypothesis, and conclude with models selectio...

2003
Motohiro Yogo

Multiresolution wavelet analysis is a natural way to decompose economic time series into components of various frequencies: long-run trend, business-cycle component, and high frequency noise. This paper illustrates the method on real GNP and inflation. The business-cycle component of the wavelet-filtered series closely resembles the series filtered by the approximate bandpass filter (Baxter and...

2004
John Considine Liam A. Gallagher

This paper assesses whether the UK public finances were sustainable for the period 1919 to 2001 using a nonlinear representation of the debt to GDP ratio and thus provides a more robust test of debt sustainability. Empirical evidence supports debt sustainability. Moreover, the ESTAR representation is evidence that sustainability is the result of active debt management rather than tax-smoothing....

2006
Guglielmo Maria Caporale Luis A. Gil-Alana

Monthly seasonally unadjusted data can exhibit roots with possibly fractional orders of integration, corresponding to the monthly but also to the quarterly and to the long-run or trending components of the series. In this paper we use a procedure which is suitable to test simultaneously for the order of integration of each of these components and apply it to several US monetary aggregates. JEL ...

Journal: :تحقیقات اقتصادی 0
سید محمدعلی کفایی استادیار دانشکده ی علوم اقتصادی و سیاسی دانشگاه شهید بهشتی جواد عرب یارمحمدی دانشجوی دکتری اقتصاد

in this paper, the effect of financial liberalization on household’s budget liquidity constraint is analyzed with the use of an error correction model. financial liberalization will decline liquidity constraint, with expanding means of making future incomes available for present consumption. here a financial liberalization index for iran is defined using principal component analysis technique, ...

Journal: :international journal of business and development studies 0

this paper aims to investigate the role of each aggregate spending component in the monetary policy transmission in indonesia. it assesses the relative strength of the role of each spending component in the monetary policy transmission. in so doing, this study employs the contribution analysis, which is calculated based on the cumulative impulse response of each component of gdp to a monetary p...

1999
Yeung Lewis Chan James H. Stock Mark W. Watson John F. Kennedy

A panel of ex-ante forecasts of a single time series is modeled as a dynamic factor model, where the conditional expectation is the single unobserved factor. When applied to out-of-sample forecasting, this leads to combination forecasts that are based on methods other than OLS. These methods perform well in a Monte Carlo experiment. These methods are evaluated empirically in a panel of simulate...

Journal: :Advances in Management and Applied Economics 2021

Abstract The aim of the paper is to compare forecasting performance a class statedependent autoregressive (SDAR) models for univariate time series with two alternative families nonlinear models, such as SETAR and GARCH models. study conducted on US GDP growth rate using quarterly data. Two methods forecast comparison are employed. first method consists in evaluation average by measures root mea...

Journal: :Social Science Research Network 2021

This paper develops a Bayesian quantile regression model with time-varying parameters (TVPs) for forecasting inflation risks. The proposed parametric methodology bridges the empirically established benefits of TVP regressions ability to flexibly whole distribution inflation. In order make our approach accessible and relevant forecasting, we derive an efficient Gibbs sampler by transforming stat...

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