C32 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
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On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity
Banks’ business interactions create a network of relationships that are hidden in the correlations of bank stock returns. But for policy interventions, we need causality to understand how the network changes. Thus, this paper looks for the causal network anticipated by investors. -
Cyclicality of Schooling: New Evidence from Unobserved Components Models
What is the time-varying impact of economic cycles on decisions to invest in human capital? -
Canadian Financial Stress and Macroeconomic Conditions
Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns. -
Endogenous Time Variation in Vector Autoregressions
We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models.