The top documents tagged [stationary series]

BOX Jenkins

ARIMA Modelling and Forecasting. Introduction Describe the stationarity of the AR process Determine the mean and variance of the AR process Assess the.

1 Price behaviour under competition in UK Domestic Electricity Supply Monica Giulietti, Jesus Otero and Michael Waterson Presented by Michael Waterson,

Theories and Methods of the Business Cycle. Part 1: Dynamic Stochastic General Equilibrium Models II. The RBC approach Jean-Olivier HAIRAULT, Professeur.

Common Trend Models for Time Series Jee-Kwang Park Post-Doctoral Fellow in QuaSSI Department of Political Science Pennsylvania State University.

Biometric Conference 2009, Taupo1 Maryann Pirie PhD candidate Department of Statistics and School of Environment University of Auckland.

Diagnostic Test of Applied Economics

Department of Applied Econometrics Working Papers

1 Previsão | Pedro Paulo Balestrassi | 5 – Autoregressive Integrated Moving Average (ARIMA) Models Box & Jenkins Methodology.

Time Series Econometrics: Asst. Prof. Dr. Mete Feridun Department of Banking and Finance Faculty of Business and Economics Eastern Mediterranean University.

Part 10: Time Series Applications [ 1/64] Econometric Analysis of Panel Data William Greene Department of Economics Stern School of Business.

Car Sales Analysis of monthly sales of light weight vehicles. Laura Pomella Karen Chang Heidi Braunger David Parker Derek Shum Mike Hu.