Forecasting Inflation: A Combination Approach

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Forecasting Canadian inflation: A semi-structural NKPC approach

a r t i c l e i n f o We examine whether alternative versions of the New Keynesian Phillips Curve equation contain useful information for forecasting the inflation process. We notably consider semi-structural specifications which combine, for closed-and open-economy versions of the model, the structural New Keynesian equation with time series features. Estimation and inference are conducted usi...

متن کامل

Forecasting medical cost inflation rates: A model comparison approach

a r t i c l e i n f o Due to healthcare costs rising faster than overall cost of living, decision makers (i.e., households, businesses, and governments) must cut back on healthcare utilization or spending elsewhere to be fiscally responsible. Accurate forecasts of future medical costs are critical for efficient planning, budgeting and operating decisions at all levels. This research compares th...

متن کامل

A Multi-model Combination Approach for Probabilistic Wind Power Forecasting

 Abstract—Short-term probabilistic wind power forecasting can provide critical quantified uncertainty information of wind generation for power system operation and control. As the complicated characteristics of wind power prediction error, it would be difficult to develop a universal forecasting model dominating over other alternative models. Therefore, a novel multi-model combination (MMC) ap...

متن کامل

Inflation Forecasting using a Neural Network

This paper evaluates the usefulness of neural networks for inflation forecasting. In a pseudo out-of-sample forecasting experiment using recent U.S. data, neural networks outperform univariate autoregressive models on average for short horizons of 1 and 2 quarters. A simple specification of the neural network model and specialized estimation procedures from the neural networks literature appear...

متن کامل

A State-Dependent Model for Inflation Forecasting

We develop a parsimonious bivariate model of inflation and unemployment that allows for persistent variation in trend inflation and the NAIRU. The model, which consists of five unobserved components (including the trends) with stochastic volatility, implies a time-varying VAR for changes in the rates of inflation and unemployment. The implied backwards-looking Phillips curve has a time-varying ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Engineering Economics

سال: 2020

ISSN: 2029-5839,1392-2785

DOI: 10.5755/j01.ee.31.2.24609