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Information gains from using short‐dated options for measuring and forecastin...
We study the gains from using short-dated options for volatility measurement and forecasting. Using option portfolios, we estimate nonparametrically spot volatility under weak... -
Dynamic evaluation of job search assistance (replication data)
This paper evaluates a job search assistance program for unemployed teachers where the assignment to the program is dynamic. We discuss the methodology of estimating dynamic... -
Commodity prices and inflation risk (replication data)
This paper investigates the role of commodity price information when evaluating inflation risk. Using a model averaging approach, we provide strong evidence of in-sample and... -
Encompassing measures of international consumption risk sharing and their lin...
We investigate international consumption risk sharing in a panel of 15 industrial economies over the historical period 1875-2016. By considering a rich empirical... -
Efficient minimum distance estimation of Pareto exponent from top income shar...
We propose an efficient estimation method for the income Pareto exponent when only certain top income shares are observable. Our estimator is based on the asymptotic theory of... -
Dynamic shrinkage in time‐varying parameter stochastic volatility in mean mod...
Successful forecasting models strike a balance between parsimony and flexibility. This is often achieved by employing suitable shrinkage priors that penalize model complexity... -
Estimation of a dynamic stochastic frontier model using likelihood‐based appr...
This paper considers a panel stochastic production frontier model that allows the dynamic adjustment of technical inefficiency. In particular, we assume that inefficiency... -
Regional output growth in the United Kingdom: More timely and higher frequenc...
Output growth estimates for regions of the UK are currently published at an annual frequency only, released with a long delay, and offer limited historical coverage. To improve... -
The effect of oil supply shocks on US economic activity: What have we learned...
Estimated responses of real oil prices and US gross domestic product (GDP) to oil supply disruptions vary widely. We show that most variation is attributable to differences in... -
Multivariate dynamic intensity peaks‐over‐threshold models (replication data)
We propose a multivariate dynamic intensity peaks-over-threshold model to capture extremes in multivariate return processes. The random occurrence of extremes is modeled by a... -
Interval censored regression with fixed effects (replication data)
This paper considers identification and estimation of a fixed-effects model with an interval-censored dependent variable. In each time period, the researcher observes the... -
Commodity prices and fiscal policy design: Procyclical despite a rule (replic...
Recent studies offer evidence of reduced fiscal procyclicality to commodity price changes in resource-rich countries-a feature commonly attributed to the adoption of fiscal... -
Binary response panel data models with sample selection and self‐selection (r...
We consider estimating binary response models on an unbalanced panel, where the outcome of the dependent variable may be missing due to nonrandom selection, or there is... -
Business, housing, and credit cycles (replication data)
We use multivariate unobserved components models to estimate trend and cyclical components in gross domestic product (GDP), credit volumes, and house prices for the USA and the... -
Measuring crisis risk using conditional copulas: An empirical analysis of the...
The shipping crisis starting in 2008 was characterized by sharply decreasing freight rates and sharply increasing financing costs. We analyze the dependence structure of these... -
Do contractionary monetary policy shocks expand shadow banking? (replication ...
Using VAR models for the USA, we find that a contractionary monetary policy shock has a persistent negative impact on the level of commercial bank assets, but increases the... -
An efficient Bayesian approach to multiple structural change in multivariate ...
This paper provides a feasible approach to estimation and forecasting of multiple structural breaks for vector autoregressions and other multivariate models. Owing to conjugate... -
An Extension of the<i>J</i>-Test to a Spatial Panel Data Framework (replicati...
Kelejian (Letters in Spatial and Resources Sciences; 1: 3-11) extended the J-test procedure to a spatial framework. Although his suggested test was computationally simple and... -
Finding Sensitivity to Scope in Nonmarket Valuation (replication data)
Data limitations frequently prevent using actual consumer behavior in determining natural resource values, so stated preference methods are used. Whether value estimates show... -
Cost and Preference Heterogeneity in Risky Financial Markets (replication data)
This paper estimates the magnitude of participation costs and preference parameters exploiting information on households? participation decisions in the equities market. A...
