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A Cost System Approach to the Stochastic Directional Technology Distance Func...
This paper offers a methodology to address the endogeneity of inputs in the directional technology distance function (DTDF)-based formulation of banking technology which... -
Nonlinear Granger Causality: Guidelines for Multivariate Analysis (replicatio...
We propose an extension of the bivariate nonparametric Diks-Panchenko Granger non-causality test to multivariate settings. We first show that the asymptotic theory for the... -
Interconnections Between Eurozone and US Booms and Busts Using a Bayesian Pan...
The proposed panel Markov-switching VAR model accommodates changes in low and high data frequencies and incorporates endogenous time-varying transition matrices of... -
Accounting for the Political Uncertainty Factor (replication data)
We build our analysis upon previous work by Bloom et al. (Measuring the Effect of Political Uncertainty. Working Paper, Stanford University, 2012) and Baker et al. (Political... -
Modelling Hospital Admission and Length of Stay by Means of Generalised Count...
For a large heterogeneous group of patients, we analyse probabilities of hospital admission and distributional properties of lengths of hospital stay conditional on individual... -
Forecasting with Bayesian Vector Autoregressions Estimated Using Professional...
We propose a Bayesian shrinkage approach for vector autoregressions (VARs) that uses short-term survey forecasts as an additional source of information about model parameters.... -
Exponent of Cross-Sectional Dependence: Estimation and Inference (replication...
This paper provides a characterisation of the degree of cross-sectional dependence in a two dimensional array, {xit,i = 1,2,...N;t = 1,2,...,T} in terms of the rate at which the... -
Determination of Long-run and Short-run Dynamics in EC-VARMA Models via Canon...
This article studies a simple, coherent approach for identifying and estimating error-correcting vector autoregressive moving average (EC-VARMA) models. Canonical correlation... -
A Semi-Parametric Analysis of Two-Sided Markets: An Application to the Local ...
This paper considers an empirical semiparametric model for two-sided markets. Contrary to existing empirical literature on two-sided markets, we specify network effects and... -
Modelling Inflation Volatility (replication data)
This paper discusses estimation of US inflation volatility using time-varying parameter models, in particular whether it should be modelled as a stationary or random walk... -
Empirical Tests of the Pollution Haven Hypothesis When Environmental Regulati...
The pollution haven hypothesis (PHH) posits that production within polluting industries will shift to locations with lax environmental regulation. While straightforward, the... -
Forecast Rationality Tests in the Presence of Instabilities, with Application...
This paper proposes a framework to implement regression-based tests of predictive ability in unstable environments, including, in particular, forecast unbiasedness and... -
On the Low-Frequency Relationship Between Public Deficits and Inflation (repl...
We estimate the low-frequency relationship between fiscal deficits and inflation and pay special attention to its potential time variation by estimating a time-varying vector... -
Flexible Estimation of Copulas: An Application to the US Housing Crisis (repl...
Zimmer (?The role of copulas in the housing crisis?, Review of Economics and Statistics 2012; 94: 607-620) provides an interesting case study of the pitfalls of using parametric... -
A Bounded Model of Time Variation in Trend Inflation, Nairu and the Phillips ...
In this paper, we develop a bivariate unobserved components model for inflation and unemployment. The unobserved components are trend inflation and the non-accelerating... -
An Empirical Test of Pricing Kernel Monotonicity (replication data)
A large class of asset pricing models predicts that securities which have high payoffs when market returns are low tend to be more valuable than those with high payoffs when... -
A Two-Stage Approach to Spatio-Temporal Analysis with Strong and Weak Cross-S...
An understanding of the spatial dimension of economic and social activity requires methods that can separate out the relationship between spatial units that is due to the effect... -
Panel Data Models with Grouped Factor Structure Under Unknown Group Membershi...
This paper studies panel data models with unobserved group factor structures. The group membership of each unit and the number of groups are left unspecified. We estimate the... -
A Hidden Markov Model Approach to Information-Based Trading: Theory and Appli...
This paper develops a novel approach to information-based securities trading by characterizing the hidden state of the market, which varies following a Markov process. Extensive... -
Estimating Incentive and Selection Effects in the Medigap Insurance Market: A...
This paper presents an empirical study of endogenous treatment effects in the presence of heterogeneous responses. We estimate the incentive and selection effects of having...
