In this paper we present compelling evidence from a detailed analysis of historical prepayment data to demonstrate that a mortgage cohort remembers the level of the previous mortgage rate troughs experienced by the cohort. This is a general property, observed ubiquitously, that inescapably leads...

Stablecoins are a pivotal and debated topic within decentralized finance (DeFi), attracting significant interest from researchers, investors, and crypto-enthusiasts. These digital assets are designed to offer stability in the volatile cryptocurrency market, addressing key challenges in...

The ability of Google Trends data to forecast the number of new daily cases and deaths of COVID-19 is examined using a dataset of 158 countries. The analysis includes the computations of lag correlations between confirmed cases and Google data, Granger causality tests, and an out-of-sample...

Sergey Aivazian was the head of my department at the Moscow School of Economics, but he was much more than that. He played an important role in my life, and he contributed to my studies devoted to copula modelling. This small memoir reports how this amazingly polite and smart scientist helped me...

I estimate DSGE models with recurring regime changes in monetary policy (inflation target and reaction coefficients), technology (growth rate and volatility), and/or nominal price rigidities. In the models, agents are assumed to know deep parameter values but make probabilistic inference about...

Even though the output and unemployment relation has always been a key theme in applied macroeconometrics research, the global hypothesis of modular short and long run dynamics assuming classic macroeconomic assumptions, is still to become a widely discussed subject in the field, and, therefore...

This paper delves into the asymmetries of the exchange rate pass-through on prices in the case of Venezuela, extending the analysis of Mendoza (2004) the prices of goods and services. The data used is monthly for the period 07/90 -12/04. We find that pass-through in services is less than...

The estimation of passenger car ownership is a crucial estimation for auto-related production and for the analysis of many transportation-related policies such as Green House Gas (GHG), emissions, and energy consumption policies. Previous studies of car ownership estimation have generally...

This note discusses a pitfall of using the generalized impulse response function (GIRF) in vector autoregressive (VAR) models (Pesaran and Shin, 1998). The GIRF is general because it is invariant to the ordering of the variables in the VAR. The GIRF, in fact, is extreme because it yields a set...

In this paper we estimate a structural VAR model to identify the causes of inflation in Ecuador. To examine the VAR dynamics, we use the decomposition of the variance because it provides information about the relative importance of each shock to the variables in the VAR. We differ from previous...