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Recurrent conditional heteroskedasticity (replication data)
We propose a new class of financial volatility models, called the REcurrent Conditional Heteroskedastic (RECH) models, to improve both in-sample analysis and out-of-sample... -
A regularization approach to common correlated effects estimation (replicatio...
Cross-section average-augmented panel regressions introduced by Pesaran (2006) have been a popular empirical tool to estimate panel data models with common factors. However, the... -
The impact of product and labour market reform on growth: Evidence for OECD c...
We examine the impact of labour and product market reforms on economic growth in 25 OECD countries between 1985 and 2013, and tests whether this impact is conditioned by the... -
Does model complexity add value to asset allocation? Evidence from machine le...
This study evaluates the benefits of integrating return forecasts from a variety of machine learning and forecast combination methods into an out-of-sample asset allocation... -
(Un)expected monetary policy shocks and term premia (replication data)
The term structure of interest rates is crucial for the transmission of monetary policy to financial markets and the macroeconomy. Disentangling the impact of monetary policy on... -
Common factors of commodity prices (replication data)
In this paper, we extract latent factors from a large cross-section of commodity prices, including fuel and non-fuel commodities. We decompose each commodity price series into a... -
Individual forecaster perceptions of the persistence of shocks to GDP (replic...
We analyse individual professional forecasters' beliefs concerning the persistence of GDP shocks. Despite substantial apparent heterogeneity in perceptions, with around one half... -
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... -
Semiparametric estimation and variable selection for single‐index copula mode...
A copula with a flexibly dependence structure can capture complexity and heterogeneity in economic and financial time series. Based on the recently proposed single-index copula,... -
Transitory and permanent shocks in the global market for crude oil (replicati...
This paper documents the determinants of real oil price in the global market based on an empirical model embedding transitory and permanent shocks. We find evidence of... -
Reduced‐form factor augmented VAR—Exploiting sparsity to include meaningful f...
Induced sparsity in the factor loading matrix identifies the factor basis, while rotational identification is obtained ex post by clustering methods closely related to machine... -
Interpretation of point forecasts with unknown directive (replication data)
Point forecasts can be interpreted as functionals (i.e., point summaries) of predictive distributions. We extend methodology for the identification of the functional based on... -
Did Protestantism promote prosperity via higher human capital? Replicating th...
This paper shows that the Becker-Woessmann reformulation of the Weber thesis-Protestants were more prosperous in 19th-century Prussia because they had higher human capital-is... -
Sparse change‐point VAR models (replication data)
Change-point (CP) VAR models face a dimensionality curse due to the proliferation of parameters that arises when new breaks are detected. We introduce the Sparse CP-VAR model... -
Is euro area lowflation here to stay? Insights from a time‐varying parameter ...
We build a time-varying parameter model that jointly explains the dynamics of euro area inflation and inflation expectations. Our goal is to explain the weak inflation during... -
Focused Bayesian prediction (replication data)
We propose a new method for conducting Bayesian prediction that delivers accurate predictions without correctly specifying the unknown true data generating process. A prior is... -
Unobserved components with stochastic volatility: Simulation‐based estimation...
The unobserved components time series model with stochastic volatility has gained much interest in econometrics, especially for the purpose of modelling and forecasting...
