نتایج جستجو برای: gcc jel classification c22

تعداد نتایج: 506145  

2002
David F. Hendry Hans-Martin Krolzig

After reviewing the simulation performance of general-to-specific automatic regressionmodel selection, as embodied in PcGets, we show how model selection can be nondistortionary: approximately unbiased ‘selection estimates’ are derived, with reported standard errors close to the sampling standard deviations of the estimated DGP parameters, and a near-unbiased goodness-of-fit measure. The handli...

2015
Mahalia Jackman Winston Moore

There have been numerous attempts at the formation of regional policy groupings within Latin America and the Caribbean (LAC). This paper analyses the similarities in macroeconomic policies pursued by member countries using realised correlation analysis on 26 LAC countries and observations covering the period 1970–2005. The study finds evidence of co-movement in monetary, fiscal, trade and capit...

2012
Kihwan Kim Norman R. Swanson

In this chapter, we discuss the use of mixed frequency models and diffusion index approximation methods in the context of prediction. In particular, select recent specification and estimation methods are outlined, and an empirical illustration is provided wherein U.S. unemployment forecasts are constructed using both classical principal components based diffusion indexes as well as using a comb...

2009
Loukia Meligkotsidou Elias Tzavalis Ioannis D. Vrontos

In this paper a Bayesian approach to unit root testing for panel data models is proposed based on the comparison of stationary autoregressive models with and without individual deterministic trends, with their counterpart models with a unit autoregressive root. This is done under cross-sectional dependence among the units of the panel. Simulation experiments are conducted with the aim to assess...

2010
Guglielmo Maria Caporale Luis A. Gil-Alana

This note examines the stochastic properties of US term spreads with parametric and semiparametric fractional integration techniques. Since the observed data (rather than the estimated residuals from a cointegrating regression) are used for the analysis, standard methods can be applied. The results indicate that US Treasury maturity rates are I(1) in most cases, although the order of integratio...

2003
Òscar Jordà Massimiliano Marcellino

This paper investigates the effects of temporal aggregation when the aggregation frequency is variable and possibly stochastic. The results that we report include, as a particular case, the well-known results on fixed-interval aggregation, such as when monthly data is aggregated into quarters. A variable aggregation frequency implies that the aggregated process will exhibit time-varying paramet...

2003
Richard Heaney

Are share markets too volatile? While it is difficult to ignore share market volatility it is important to determine whether volatility is excessive. This paper replicates the Shiller (1981) test as well as applying standard time series analysis to annual Australian stock market data for the period 1883 to 1999. While Shiller’s test suggests the possibility of excess volatility, time series ana...

1999
Junsoo Lee Mark Strazicich

The two-break unit root test of Lumsdaine and Papell (1997) is examined and found to suffer from bias and spurious rejections in the presence of structural breaks under the null. A two-break minimum LM unit root test is proposed as a remedy. The two-break LM test does not suffer from bias and spurious rejections and is mostly invariant to the size, location, and misspecification of the breaks. ...

2009
Henri Nyberg

This paper introduces a Lagrange Multiplier (LM) test for testing an autoregressive structure in a binary time series model proposed by Kauppi and Saikkonen (2008). Simulation results indicate that the two versions of the proposed LM test have reasonable size and power properties when the sample size is large. A parametric bootstrap method is suggested to obtain approximately correct sizes also...

2005
Richard Ashley Virginia Tech Randal J. Verbrugge

We agree that either mistaking a stochastic trend for a deterministic trend (or vice-versa) is consequential for unit root tests and for tests of nonlinear serial dependence. In addition, we comment that similar results obtain for ordinary parameter inference in simple linear models. In particular, we note that detrending stochastically trended data with a deterministic polynomial or by applyin...

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