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Estimation of Dynamic Panel Data Models with Cross-Sectional Dependence: Usin...
This paper considers the estimation of dynamic panel data models when data are suspected to exhibit cross-sectional dependence. A new estimator is defined that uses... -
Growth Determinants Revisited Using Limited-Information Bayesian Model Averag...
We revisit the growth empirics debate using a novel limited-information Bayesian model averaging framework in short T panels that addresses model uncertainty, dynamics, and... -
Modelling Technical Efficiency in Cross Sectionally Dependent Stochastic Fron...
This paper proposes a unified framework for accommodating both time and cross-sectional dependence in modelling technical efficiency in stochastic frontier models by combining... -
Identification of Spatial Durbin Panel Models (replication data)
This paper considers identification of spatial Durbin dynamic panel models under 2SLS and ML estimations. We show that the parameters are generally identified via 2SLS moment... -
Estimating the Dynamics and Persistence of Financial Networks, with an Applic...
We propose a novel methodology for dynamic econometric modelling of large financial networks subject to persistence, structural changes and sparsity. We estimate bivariate... -
The Effect of Fragmentation in Trading on Market Quality in the UK Equity Mar...
We investigate the effects of fragmentation in equity markets on the quality of trading outcomes in a panel of FTSE stocks over the period 2008-2011. This period coincided with... -
Endogenous Spatial Regression and Delineation of Submarkets: A New Framework ...
Housing submarkets have been defined by different criteria: (i) similarity in house attributes; (ii) similarity in hedonic prices; and (iii) substitutability of houses. We show... -
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... -
Firm-Level Productivity Spillovers in China's Chemical Industry: A Spatial Ha...
This paper assesses intra-sectoral spillovers in total factor productivity (TFP) across Chinese producers in the chemical industry using panel data on 12,552 firms observed over... -
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... -
A Test of the Conditional Independence Assumption in Sample Selection Models ...
Identification in most sample selection models depends on the independence of the regressors and the error terms conditional on the selection probability. All quantile and mean... -
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... -
Fiscal Policies and Credit Regimes: A TVAR Approach (replication data)
This work investigates how the state of credit markets affects the impact of fiscal policies. We estimate a threshold vector autoregression (TVAR) model on US quarterly data for... -
Isolating the Roles of Individual Covariates in Reweighting Estimation (repli...
A host of recent research has used reweighting methods to analyze the extent to which observable characteristics predict between-group differences in the distribution of an... -
Refining Stylized Facts from Factor Models of Inflation (replication data)
Factor models of disaggregate inflation indices suggest that sectoral shocks generate the bulk of sectoral inflation variance, but no persistence. Aggregate shocks, by contrast,... -
Anticipating Long-Term Stock Market Volatility (replication data)
We investigate the relationship between long-term US stock market risks and the macroeconomic environment using a two-component GARCH-MIDAS model. Our results show that... -
Extracting Nonlinear Signals from Several Economic Indicators (replication data)
We develop a twofold analysis of how the information provided by several economic indicators can be used in Markov switching dynamic factor models to identify the business cycle... -
The Measurement and Characteristics of Professional Forecasters' Uncertainty ...
Several statistical issues that arise in the construction and interpretation of measures of uncertainty from forecast surveys that include probability questions are considered,... -
What Drives Oil Prices? Emerging Versus Developed Economies (replication data)
We explore the role of demand from emerging and developed economies as drivers of the real price of oil. Using a FAVAR model that identifies shocks from different regions of the...
