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424 Results

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.

How Do Import Tariffs Affect Aggregate Prices? Theory and Evidence from Canada

Using Canadian firm-level market shares and an oligopolistic model, the paper shows that a 25% counter-tariff on U.S. imports raises Canada's aggregate price index by 0.66%, far below direct cost pass-through predictions due to consumer substitution and markup adjustments.

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.

Climate stress test of the global supply chain network: the case of river floods

This study investigates how extreme flood events can indirectly impact the global supply chain through production disruptions. The findings emphasize that the size of inventories is crucial; a lean-inventory system leads to faster shock propagation, higher losses, and fewer recoveries compared to an abundant-inventory system.

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.
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