نتایج جستجو برای: gcc jel classification c22

تعداد نتایج: 506145  

Journal: :اقتصاد و توسعه کشاورزی 0
مهدی پیری ابراهیم جاودان سجاد فرجی دیزجی

abstract oil export revenues have a major share in both iranian government incomes and gross domestic product (gdp). with regard to the importance of agricultural sector in economic growth, rural development and rural welfare improvement, this sector indubitably influenced by temporary and unexpected shocks in oil export. therefore we employed feder(1982) and auto-regressive distributed lag (ar...

2015
Toru Konno Mototsugu Fukushige

This paper assesses the long-run bilateral trade relations between the US and Mexico. North American Free Trade Agreement (NAFTA) had no additional impacts on import functions. Gradual switching existed even before the agreement became effective. © 2002 Society for Policy Modeling. Published by Elsevier Science Inc. All rights reserved. JEL classification: F13; C22

2006
Mauro Costantini Roy Cerqueti

This paper provides a theoretical fractional cointegration analysis in a nonparametric framework. We solve a generalized eigenvalues problem, extending Bierens’ (1997) approach. To this end, a couple of random matrices is constructed, distinguishing between stationary and nonstationary part of the fractional integrated process. The asymptotic behavior of such matrices is studied and convergence...

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...

The paper examines the issue of hedging in energy markets. The objective of this study is to select an optimal model that will provide the highest price risk reduction for the selected commodities. We apply the ordinary least squares methods, autoregressive model, autoregressive conditional heteroscedasticity and copula to calculate the appropriate dynamic minimum-variance hedge ratio. The obje...

Journal: :Review of Radical Political Economics 2022

In recent decades, there has been a growing literature dealing with the empirical estimation of rate profit and other Marxian variables in several countries. Nonetheless, paucity econometric research about impact those on growth developing This article seeks to evaluate accumulation as determinants Colombia during 1967–2019, using generalized vector autoregressive model. We find that both are s...

2010
Alan Mulhern Chris Stewart

Employing a probit, logit and gompit model this paper demonstrates that small firm development, represented by a group of structural, behavioral and performance variables determines regional location in Poland. The paper uses original data that samples the small firm stratum in two contrasting regions, Pomorskie and Lubelskie. The following variables were shown to be significantly correlated wi...

2009
Nikolaos Askitas Klaus F. Zimmermann

Google Econometrics and Unemployment Forecasting The current economic crisis requires fast information to predict economic behavior early, which is difficult at times of structural changes. This paper suggests an innovative new method of using data on internet activity for that purpose. It demonstrates strong correlations between keyword searches and unemployment rates using monthly German data...

2006
Arie Preminger Giuseppe Storti Christian M. Hafner Sharon Rubin

A least squares estimation approach for the estimation of a GARCH (1,1) model is developed. The asymptotic properties of the estimator are studied given mild regularity conditions, which require only that the error term has a conditional moment of some order. We establish the consistency, asymptotic normality and the law of iterated logarithm for our estimate. The finite sample properties are a...

2003
Stefan Mittnik Marc S. Paolella

The use of GARCH models with stable Paretian innovations in financial modeling has been recently suggested in the literature. This class of processes is attractive because it allows for conditional skewness and leptokurtosis of financial returns without ruling out normality. This contribution illustrates their usefulness in predicting the downside risk of financial assets in the context of mode...

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