This research paper presents new gasoline demand price elasticity estimates for California. The study leverages the unique characteristics of California's gasoline market and introduces a new set of proposed instruments. As a first step, the study takes advantage of California's partially...

Often, it has been observed that telecommunication infrastructure development and economic growth proceed together. While this relationship has been studied in the context of developed (OECD) countries, in this study, we investigate this simultaneous relationship between telecommunications and...

We introduce a dynamic network model of interbank lending and estimate the parameters by indirect inference using network statistics of the Dutch interbank market from mid-February 2008 through April 2011. We find that credit-risk uncertainty and peer monitoring are significant factors in...

This paper studies how gender and income dynamics influence the division of responsibility in two-adult households for various activities, including those tasks directly related to financial decisionmaking. The data, from the 2012 Survey of Consumer Payment Choice, consist of the respondents'...

In this paper we extend the traditional GARCH(1,1) model by including a functional trend term in the conditional volatility of a time series. We derive the main properties of the model and apply it to all agricultural commodities in the Mexican CPI basket, as well as to the international prices...

In this paper we use data from Mexico to identify Dornbusch's (1976) exchange rate overshooting hypothesis. We specify and estimate a structural cointegrated VAR that considers explicitly the presence of a set of long-run theoretical relations on macroeconomic variables (a purchasing power...

The frequencies at which prices and wages are adjusted, interpreted as price and wage flexibility, are key elements in workhorse models used for policy analysis. Yet, there is little evidence regarding the relationship between these two sources of nominal rigidities. Using two large and highly...

We develop a generalized dynamic factor model for panel data with the goal of estimating an unobserved index. While similar models have been developed in the literature of dynamic factor analysis, our contribution is threefold. First, contrary to simple dynamic factor analysis where multiple...

In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...