We develop a New-Open-Economy-Macro model in which Ricardian equivalence does not hold because of (i) distortionary labor and corporate income taxation; (ii) limited asset market participation; and (iii) because the overlapping-generations structure results in a disconnect between current and...

This paper describes a computer program with which one can build macroeconomic models. It is possible to specify up to eighteen behavioral equations, each with between five and eleven independent variables. For certain variables, the user can decide whether they will be endogenous or exogenous....

We develop a simple semistructural model for the Rwandan economy to better understand the monetary policy transmission mechanism. A key feature of the model is the introduction of a modified uncovered interest parity condition to capture key structural features of Rwanda’s economy and policy...

This paper develops a model featuring both a macroeconomic and a financial friction that speaks to the interaction between monetary and macro-prudential policies. There are two main results. First, real interest rate rigidities in a monopolistic banking system have an asymmetric impact on...

We develop a heterogeneous agent, overlapping generations model with nonhomothetic preferences that nests several explanations for the decline in the natural rate of interest (r*) suggested in the literature: demographic change, a slowdown in productivity growth, a rise in income inequality, and...

We show that firms' market power dampens the response of their output to monetary policy shocks, using firm-level data for the United States and a large cross-country firm-level dataset for 14 advanced economies. The estimated impact of a firm's markup on its response to a monetary policy shock...

We examine the effects of various borrower-based macroprudential tools in a New Keynesian environment where both real and nominal interest rates are low. Our model features long-term debt, housing transaction costs and a zero-lower bound constraint on policy rates. We find that the long-term...

This paper considers the problem of jointly decomposing a set of time series variables into cyclical and trend components, subject to sets of stochastic linear restrictions among these cyclical and trend components. We derive a closed form solution to an ordinary problem featuring homogeneous...

This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms' DD to their real world PD. Since changes in the DD depend on a handful of parameters, the mapping easily accommodates shocks arising from quantitative...