نتایج جستجو برای: طبقه‌بندی JEL: .C51

تعداد نتایج: 27747  

Journal: :American Economic Journal: Macroeconomics 2022

We study structural change in the historical consumption expenditure of United States, Kingdom, Canada, and Australia over more than a century. characterize most general class preferences time-additive setting that admits aggregation saving decision allows us to identify preference parameters from aggregate data. parameterize estimate such intertemporally aggregable (IA) discuss their propertie...

Journal: :JDE (Journal of Developing Economies) 2021

The purpose of this study is to investigate the effect non-cash payment transactions on economic growth in Indonesia and see responses from supporting variables, such as velocity money price transactions. This involves a Vector Error Correction Model (VECM) analysis tool, using monthly time series data during 2009: 1 – 2017: 12. results show that instrument affects growth, especially Card-Based...

2013
Christos A. Ioannou Shi Qi Aldo Rustichini

Linear altruism predicts the estimated preferences to be independent of the subject’s position in the game, if the role allocation is randomly determined, because subjects, in each role, have the same preferences ex ante. We test and reject this hypothesis. JEL Classification: C51, C92, C72, D03

2010
Roxana HALBLEIB Roxana Halbleib Roxana Chiriac

This note solves the puzzle of estimating degenerate Wishart Autoregressive processes, introduced by Gourieroux, Jasiak and Sufana (2009) to model multivariate stochastic volatility. It derives the asymptotic and empirical properties of the Method of Moment estimator of the Wishart degrees of freedom subject to different stationarity assumptions and specific distributional settings of the under...

2004
Germán Coloma Pablo Spiller

This paper presents a version of the proportionally calibrated almost ideal demand system (PCAIDS) model, useful for merger simulations, which can be econometrically estimated using price data for two firms in a market. The model is then applied to a database of the Argentine gasoline market, and its results are compared to the ones obtained with other alternative specifications. JEL Classifica...

1998
Simon M. Potter

The standard linear technique of impulse response function analysis is extended to the nonlinear case by de"ning a generalized impulse response function. Measures of persistence and asymmetry in response are constructed for a wide class of time series. ( 2000 Elsevier Science B.V. All rights reserved. JEL classixcation: C22; C51; C52; E32

Journal: :CoRR 2008
Prabodh K. Enumula Shrisha Rao

JEL classification codes: C51 Model construction and estimation C62 Existence and stability conditions of equilibrium D84 Expectations Speculations This paper proposes the Potluck Problem as a model for the behavior of independent producers and consumers under standardeconomicassumptions, as a problemof resourceallocation inamulti-agent system inwhich there is no explicit communication among th...

Journal: :The American Economic Review 2023

When countries change most favored nation (MFN) tariffs, partners that trade on MFN terms experience plausibly exogenous tariff changes. Using this variation, we estimate the elasticity at short and long horizons with local projections. We find of tariff-exclusive flows is ?0.76 in run, approximately ?2 run. Our long-run estimates are smaller than typical literature, it takes 7 to10 years to co...

Journal: :تحقیقات اقتصادی 0
پیام حنفی زاده استادیار گروه مدیریت صنعتی، دانشگاه علامه طباطبائی، دانشکدة مدیریت و حسابداری حسین پورسلطانی کارشناسی ارشد مدیریت فنّ آوری اطلاعات، دانشگاه علاّمه طباطبائی، دانشکدة مدیریت و حسابداری پریسا ساکتی کارشناسی ارشد مدیریت فنّ آوری اطلاعات، دانشگاه علامه طباطبائی، دانشکدة مدیریت و حسابداری

this article is a comparative study of estimation power of artificial neural networks and autoregressive time series models in inflation forecasting. using 37 years iran’s inflation data, neural networks performs better on average for short horizons than autoregressive models. this study shows usefulness of early stopping technique in learning stage of neural networks for estimating time series...

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