Econometric and statistical methods

• Nonparametric Identification of Incomplete Information Discrete Games with Non-equilibrium Behaviors

  Staff Working Paper 2022-22 Erhao Xie

  This paper jointly relaxes two assumptions in the literature that estimates games. These two assumptions are the parametric restriction on the model primitives and the restriction of equilibrium behaviors. Without imposing the above two assumptions, this paper identifies the primitives of the game.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C57

• Nowcasting Canadian GDP with Density Combinations

  Staff Discussion Paper 2022-12 Tony Chernis, Taylor Webley

  We present a tool for creating density nowcasts for Canadian real GDP growth. We demonstrate that the combined densities are a reliable and accurate tool for assessing the state of the economy and risks to the outlook.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C52, C53, E, E3, E7

• Resilience of bank liquidity ratios in the presence of a central bank digital currency

  Staff Analytical Note 2022-5 Alissa Gorelova, Bena Lands, Maria teNyenhuis

  Could Canadian banks continue to meet their regulatory liquidity requirements after the introduction of a cash-like retail central bank digital currency (CBDC)? We conduct a hypothetical exercise to estimate how a CBDC could affect bank liquidity by increasing the run-off rates of transactional retail deposits under four increasingly severe scenarios.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Central bank research, Digital currencies and fintech, Econometric and statistical methods, Financial institutions, Financial stability JEL Code(s): C, E, E4, G, G2, G21, O, O3, O33

• Historical Data on Repurchase Agreements from the Canadian Depository for Securities

  Technical Report No. 121 Maxim Ralchenko, Adrian Walton

  We develop an algorithm that extracts information about sale and repurchase agreements (repos) from disaggregated settlement data in order to generate a new historical dataset for research.

  Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C5, C55, C8, C81, G, G1, G10