This paper uses a factor-augmented vector autoregressive model to examine the impact of monetary policy shocks on housing prices across metropolitan and micropolitan regions. To simultaneously estimate the model parameters and unobserved factors we rely on Bayesian estimation and inference....

A health policy reform aiming to reduce hospital waiting times and sickness absences, the Faster Return to Work (FRW) scheme, is evaluated by creating treatment and control groups to facilitate causal interpretations of the empirical results. We use a unique dataset on individuals where we match...

In this paper we investigate reporting heterogeneity in the Visual Analogue Scale (VAS) when it is used to measure current health status in cardiovascular patients. We provide a new framework to identify reporting heterogeneity using quantile regressions. EQ-5D responses are used as a proxy to...

This paper examines the causal relationship between family income and child out- comes. Motivated by theoretical predictions and OLS results suggesting a nonlinear relationship, we depart from previous studies in allowing the marginal eects on children's outcomes of an increase in family income...

This study measures the impact of fanya juu bunds (an important soil and water conservation technology and the most popular type of contour bund in east Africa) on the value of crop production in a high-rainfall area in the Ethiopian highlands using cross-sectional multiple plot observations. We...

An important question for policy makers is how drug users may respond to changes in economic factors. Based on a unique data set of almost 2,500 interviews with people attending a needle exchange service in Oslo, this paper aims at estimating the impact of economic factors on heroin and...

This paper proposes a hierarchical modeling approach to perform stochastic model specification in Markov switching vector error correction models. We assume that a common distribution gives rise to the regime-specific regression coefficients. The mean as well as the variances of this...

In this paper, we explore the relationship between state-level household income inequality and macroeconomic uncertainty in the United States. Using a novel large-scale macroeconometric model, we shed light on regional disparities of inequality responses to a national uncertainty shock. The...

Time-varying parameter (TVP) models have the potential to be over-parameterized, particularly when the number of variables in the model is large. Global-local priors are increasingly used to induce shrinkage in such models. But the estimates produced by these priors can still have appreciable...

This paper investigates the time-varying impacts of international macroeconomic uncertainty shocks. We use a global vector autoregressive (GVAR) specification with drifting coefficients and factor stochastic volatility in the errors to model six economies jointly. The measure of uncertainty is...