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Grain Prices in Pre-industrial Germany, Fifteenth to Nineteenth Centuries
We present the largest homogenous dataset of grain prices for four major types of grain for pre-industrial Germany covering 70 cities with a total of 259 time series. This... -
The economics of state fragmentation: Assessing the economic impact of secess...
This paper presents estimates of the economic effects of secession for a large panel of countries that gained independence between 1940 and 2016. It relies on a semi-parametric... -
International spillovers of forward guidance shocks (replication data)
We estimate a two-country model of the United States and Canada over the post 2009 sample to study the cross-country spillovers of forward guidance shocks. To do so, we propose... -
Aggregate consumption and wealth in the long run: The impact of financial lib...
This paper investigates the impact of financial liberalization on the relationship between consumption and total wealth (i.e., the sum of asset wealth and human wealth).... -
Are there no wage returns to compulsory schooling in Germany? A reassessment ...
This study replicates and challenges the finding of zero wage returns to compulsory schooling in Germany by Pischke and von Wachter (Review of Economics and Statistics, 90(3),... -
Measuring the slowly evolving trend in US inflation with professional forecas...
Much research studies US inflation history with a trend-cycle model with unobserved components, where the trend may be viewed as the Fed's evolving inflation target or... -
Nonlinear effects of government spending shocks in the USA: Evidence from sta...
This paper uses state-level data to estimate the effect of government spending shocks during expansions and recessions. By employing a mixed-frequency framework, we are able to... -
Common correlated effect cross‐sectional dependence corrections for nonlinear...
This paper provides an approach to estimation and inference for nonlinear conditional mean panel data models, in the presence of cross-sectional dependence. We modify Pesaran's... -
Modeling the conditional distribution of financial returns with asymmetric ta...
This paper proposes a conditional density model that allows for differing left/right tail indices and time-varying volatility based on the dynamic conditional score (DCS)... -
Estimating and accounting for the output gap with large Bayesian vector autor...
We consider how to estimate the trend and cycle of a time series, such as real gross domestic product, given a large information set. Our approach makes use of the... -
Two are better than one: Volatility forecasting using multiplicative componen...
We examine the properties and forecast performance of multiplicative volatility specifications that belong to the class of generalized autoregressive conditional... -
Private returns to R&D in the presence of spillovers, revisited (replicat...
This is both a replication of Eberhardt et al. (Review of Economics and Statistics, 2013, 95(2), 436-448) using different software, and a critical extension and diagnostic... -
(Under)Mining local residential property values: A semiparametric spatial qua...
Rock mining operations, including limestone and gravel production, have considerable adverse effects on residential quality of life due to elevated noise and dust levels... -
The puzzling effects of monetary policy in VARs: Invalid identification or mi...
Standard vector autoregressions (VARs) often find puzzling effects of monetary policy shocks. Is this due to an invalid (recursive) identification scheme, or because the... -
The approximate solution of finite‐horizon discrete‐choice dynamic programmin...
The estimation of finite-horizon discrete-choice dynamic programming (DCDP) models is computationally expensive. This limits their realism and impedes verification and... -
The evolution of scale economies in US banking (replication data)
Continued consolidation of the US banking industry and a general increase in the size of banks have prompted some policymakers to consider policies that discourage banks from... -
Estimating global bank network connectedness (replication data)
We use LASSO methods to shrink, select, and estimate the high-dimensional network linking the publicly traded subset of the world's top 150 banks, 2003-2014. We characterize... -
How to Identify and Forecast Bull and Bear Markets? (replication data)
Because the state of the equity market is latent, several methods have been proposed to identify past and current states of the market and forecast future ones. These methods... -
The Early Millennium Slowdown: Replicating the Peersman (2005) Results (repli...
This paper undertakes both a narrow and wide replication of the constant coefficients vector autoregression (VAR) identified with sign restrictions considered by Peersman... -
Forecasting Tail Risks (replication data)
This paper presents an early warning system as a set of multi-period forecasts of indicators of tail real and financial risks obtained using a large database of monthly US data...
