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An endogenously clustered factor approach to international business cycles (r...
Factor models have become useful tools for studying international business cycles. Block factor models can be especially useful as the zero restrictions on the loadings of some... -
Nonparametric methods and local-time-based estimation for dynamic power law d...
This paper introduces nonparametric econometric methods that characterize general power law distributions under basic stability conditions. These methods extend the literature... -
Efficient estimation of Bayesian VARMAs with time‐varying coefficients (repli...
Empirical work in macroeconometrics has been mostly restricted to using vector autoregressions (VARs), even though there are strong theoretical reasons to consider general... -
A discrete-choice model for large heterogeneous panels with interactive fixed...
What is the effect of funding costs on the conditional probability of issuing a corporate bond? We study this question in a novel dataset covering 5610 issuances by US firms... -
Estimating the economic costs of organized crime by synthetic control methods...
The economic costs of organized crime have been estimated for the case of southern Italy by Pinotti (Economic Journal 2015; 125, F203?F232, 2015): using synthetic control... -
Time Variation in Macro-Financial Linkages (replication data)
We analyze the contribution of credit spread, house and stock price shocks to the US economy based on a time-varying parameter vector autoregressive model. We find that the... -
Optimal Control of Heteroscedastic Macroeconomic Models (replication data)
This paper analyses the implications of heteroscedasticity for optimal macroeconomic policy and welfare. We find that changes in the variance structure driven by exogenous... -
Optimal Portfolio Choice Under Decision‐Based Model Combinations (replication...
We propose a density combination approach featuring combination weights that depend on the past forecast performance of the individual models entering the combination through a... -
Replicating the Results in ‘A New Model of Trend Inflation’ Using Particle Ma...
An article by Chan et al. (2013) published in the Journal of Business and Economic Statistics introduces a new model for trend inflation. They allow the trend inflation to... -
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... -
Noncausal Bayesian Vector Autoregression (replication data)
We consider Bayesian analysis of the noncausal vector autoregressive model that is capable of capturing nonlinearities and effects of missing variables. Specifically, we devise... -
Forecasting Consumption: the Role of Consumer Confidence in Real Time with ma...
We study the role of consumer confidence in forecasting real personal consumption expenditure, and contribute to the extant literature in three substantive ways. First, we... -
Mismatch Shocks and Unemployment During the Great Recession (replication data)
We investigate the macroeconomic consequences of fluctuations in the effectiveness of the labor market matching process with a focus on the Great Recession. We conduct our... -
Demographics and Business Cycle Volatility: A Spurious Relationship? (replica...
This paper replicates the estimation results of three studies on the impact of the age composition of the labor force on business cycle volatility and investigates whether they... -
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... -
Forecasting with Global Vector Autoregressive Models: a Bayesian Approach (re...
This paper develops a Bayesian variant of global vector autoregressive (B-GVAR) models to forecast an international set of macroeconomic and financial variables. We propose a... -
Combining Time Variation and Mixed Frequencies: an Analysis of Government Spe...
In this paper, we propose a time-varying parameter vector autoregression (VAR) model with stochastic volatility which allows for estimation on data sampled at different... -
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... -
Outlier-Robust Bayesian Multinomial Choice Modeling (replication data)
A Bayesian method for outlier-robust estimation of multinomial choice models is presented. The method can be used for both correlated as well as uncorrelated choice alternatives... -
On the Importance of Sectoral and Regional Shocks for Price-Setting (replicat...
We use novel disaggregate sectoral-regional euro-area data to investigate the sources of price changes, introducing a new method to extract factors from overlapping data blocks...
