C3 - Multiple or Simultaneous Equation Models; Multiple Variables

• Identification of Random Resource Shares in Collective Households Without Preference Similarity Restrictions

  Staff Working Paper 2017-45 Geoffrey R. Dunbar, Arthur Lewbel, Krishna Pendakur

  Resource shares, defined as the fraction of total household spending going to each person in a household, are important for assessing individual material well-being, inequality and poverty. They are difficult to identify because consumption is measured typically at the household level, and many goods are jointly consumed, so that individual-level consumption in multi-person households is not directly observed.

  Content Type(s): Staff research, Staff working papers Topic(s): Domestic demand and components, Econometric and statistical methods JEL Code(s): C, C3, C31, D, D1, D11, D12, D13, I, I3, I32

• Adoption of a New Payment Method: Theory and Experimental Evidence

  Staff Working Paper 2017-28 Jasmina Arifovic, John Duffy, Janet Hua Jiang

  We model the introduction of a new payment method, e.g., e-money, that competes with an existing payment method, e.g., cash. The new payment method involves relatively lower per-transaction costs for both buyers and sellers, but sellers must pay a fixed fee to accept the new payment method.

  Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Digital currencies and fintech JEL Code(s): C, C3, C35, C8, C83, C9, C92, E, E4, E41

• Detecting Scapegoat Effects in the Relationship Between Exchange Rates and Macroeconomic Fundamentals

  Staff Working Paper 2017-22 Lorenzo Pozzi, Barbara Sadaba

  This paper presents a new testing method for the scapegoat model of exchange rates that aims to tighten the link between the theory on scapegoats and its empirical implementation. This new testing method consists of a number of steps.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Exchange rates, International financial markets JEL Code(s): C, C3, C32, F, F3, F31, G, G1, G15

• Small‐Sample Tests for Stock Return Predictability with Possibly Non‐Stationary Regressors and GARCH‐Type Effects

  Staff Working Paper 2017-10 Sermin Gungor, Richard Luger

  We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock returns.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C12, C3, C32, G, G1, G14

• Adoption Costs of Financial Innovation: Evidence from Italian ATM Cards

  Staff Working Paper 2017-8 Kim Huynh, Philipp Schmidt-Dengler, Gregor W. Smith, Angelika Welte

  The discrete choice to adopt a financial innovation affects a household’s exposure to inflation and transactions costs. We model this adoption decision as being subject to an unobserved cost.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods, Financial services JEL Code(s): C, C3, C35, D, D1, D14, E, E4, E41

• A Dynamic Factor Model for Nowcasting Canadian GDP Growth

  Staff Working Paper 2017-2 Tony Chernis, Rodrigo Sekkel

  This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, C38, C5, C53, E, E3, E37

• Terms-of-Trade and House Price Fluctuations: A Cross-Country Study

  Staff Working Paper 2017-1 Paul Corrigan

  Terms-of-trade shocks are known to be key drivers of business cycles in open economies. This paper argues that terms-of-trade shocks were also important for house price fluctuations in a panel of developed countries over the 1994–2015 period.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial stability, Housing, International topics JEL Code(s): C, C3, C32, E, E3, E32, E5, E51, F, F3, F36, F4, F41

• Assessment of the Effects of Macroprudential Tightening in Canada

  Staff Analytical Note 2016-12 Martin Kuncl

  During the period of 2008 to 2012, the rules for government-backed mortgage insurance were tightened on four occasions. In this note, we estimate the effects through a simple econometric exercise using a vector error-correction model (VECM).

  Content Type(s): Staff research, Staff analytical notes Topic(s): Credit and credit aggregates, Financial system regulation and policies, Housing JEL Code(s): C, C3, C32, E, E6, E65, G, G2, G28

• The Real-Time Properties of the Bank of Canada’s Staff Output Gap Estimates

  Staff Working Paper 2016-28 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel

  We study the revision properties of the Bank of Canada’s staff output gap estimates since the mid-1980s. Our results suggest that the average staff output gap revision has decreased significantly over the past 15 years, in line with recent evidence for the U.S.

  Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Econometric and statistical methods, Potential output JEL Code(s): C, C3, C38, E, E1, E17, E3, E32

• What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks

  Staff Working Paper 2016-25 Laurent Ferrara, Pierre Guérin

  This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, E, E3, E32, E4, E44