On the Evolution of the United Kingdom Price Distributions Staff working paper 2018-25 Ba M. Chu, Kim Huynh, David T. Jacho-Chávez, Oleksiy Kryvtsov We propose a functional principal components method that accounts for stratified random sample weighting and time dependence in the observations to understand the evolution of distributions of monthly micro-level consumer prices for the United Kingdom (UK). Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, C8, C83, E, E3, E31, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures
Technology Adoption in Input-Output Networks Staff working paper 2019-51 Xintong Han, Lei Xu We study how input-output networks affect the speed of technology adoption. In particular, we model the decision to adopt the programming language Python 3 by software packages. Python 3 provides advanced features but is not backward compatible with Python 2, which implies it comes with adoption costs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, L, L2, L23, L8, L86, O, O1, O14, O3, O33 Research Theme(s): Models and tools, Economic models, Structural challenges, Digitalization and productivity
December 31, 2002 Summary of Government of Canada - Outstanding as at 31 December 2002 Content Type(s): Publications, Historical: Securities and loans
November 28, 2011 Quarterly Financial Report - Third Quarter 2011 Quarterly Financial Report - Third Quarter 2011 - For the period ended 30 September 2011 Content Type(s): Publications, Quarterly Financial Report
December 31, 2006 Summary of Government of Canada - Outstanding as at 31 December 2006 Content Type(s): Publications, Historical: Securities and loans
A Fresh Look at the Publication and Citation Gap Between Men and Women: Insights from Economics and Political Science Staff working paper 2025-13 Daniel Stockemer, Gabriela Galassi, Engi Abou-El-Kheir In recent years, significant efforts have been made to attract more women into academia and to support their careers, with the goal of increasing their representation. Content Type(s): Staff research, Staff working papers JEL Code(s): A, A1, A14, I, I2, I23, J, J1, J16, J4, J44, J7, J71 Research Theme(s): Structural challenges, Demographics and labour supply
Estimating the Effect of Exchange Rate Changes on Total Exports Staff working paper 2019-17 Thierry Mayer, Walter Steingress This paper shows that real effective exchange rate (REER) regressions, the standard approach for estimating the response of aggregate exports to exchange rate changes, imply biased estimates of the underlying elasticities. We provide a new aggregate regression specification that is consistent with bilateral trade flows micro-founded by the gravity equation. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F11, F12, F3, F31, F32 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, International trade, finance and competitiveness
December 31, 2004 Summary of Government of Canada - Outstanding as at 31 December 2004 Content Type(s): Publications, Historical: Securities and loans
MSTest: An R-Package for Testing Markov Switching Models Staff working paper 2026-7 Gabriel Rodriguez Rondon, Jean-Marie Dufour We present the R package MSTest, which implements hypothesis testing procedures to determine the number of regimes in Markov switching models. The package provides several testing frameworks, including Monte Carlo likelihood ratio tests, moment-based tests, parameter stability tests, and classical likelihood ratio procedures. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C12, C15, C18, C6, C63, C8, C87 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
Generalized Autoregressive Gamma Processes Staff working paper 2023-40 Bruno Feunou We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C58, G, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods