C5 - Econometric Modeling

• State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models

  Staff Working Paper 2018-14 Luis Uzeda

  Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C11, C15, C5, C51, C53

• Can Media and Text Analytics Provide Insights into Labour Market Conditions in China?

  Staff Working Paper 2018-12 Jeannine Bailliu, Xinfen Han, Mark Kruger, Yu-Hsien Liu, Sri Thanabalasingam

  The official Chinese labour market indicators have been seen as problematic, given their small cyclical movement and their only-partial capture of the labour force. In our paper, we build a monthly Chinese labour market conditions index (LMCI) using text analytics applied to mainland Chinese-language newspapers over the period from 2003 to 2017.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics, Labour markets JEL Code(s): C, C3, C38, C5, C55, E, E2, E24, E27

• Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation

  Staff Working Paper 2018-10 Lise Pichette, Marie-Noëlle Robitaille, Mohanad Salameh, Pierre St-Amant

  We use a new real-time database for Canada to study various output gap measures. This includes recently developed measures based on models incorporating many variables as inputs (and therefore requiring real-time data for many variables).

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices, Potential output JEL Code(s): C, C5, C53, E, E3, E37