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Nowcasting euro area GDP with news sentiment: A tale of two crises (replicati...
Replication data for Ashwin et al (2024) Nowcasting euro area GDP with news sentiment: A tale of two crises. Code for the paper is available upon request (julianashwin [at]... -
The German Cliometrics Database (replication data)
This short article introduces the German Cliometrics Database as the fundament of Jopp and Spoerer (2024) who trace cliometric research on German history. This newly constructed... -
More on the influence of gender equality on gender differences in economic pr...
Introduction This study reproduces the results of the article Relationship of gender differences in preferences to economic development and gender equality (DOI:... -
Disease and development – The predicted mortality instrument revisited (repli...
Replication materials for "Disease and development – The predicted mortality instrument revisited" by D. Kreitmeir and T. Überfuhr, Journal of Applied Econometrics, 2023,... -
Forecasting GDP in Europe with textual data (replication data)
Replication files and data for "Forecasting GDP in Europe with textual data" by L. Barbaglia, S. Consoli, S. Manzan, in Journal of Applied Econometrics (2023). -
Reassessing growth vulnerability (replication data)
This paper replicates the results of Adrian et al. (2019) that GDP growth volatility is mainly driven by the lower quantiles of the distribution which is predicted by the... -
German Firms in International Trade: Evidence from Recent Microdata
In this paper, we zoom in on the firm level of German merchandise foreign trade, using a novel data base with information on the export and import value by firm, country,... -
Does early educational tracking contribute to gender gaps in test achievement...
The files contain all the information needed to download data an make use of the code. More information can be found in the read.me.file Abstract: On average, boys score higher... -
When can we ignore measurement error in the running variable? (replication data)
In many applications of regression discontinuity designs, the running variable used to assign treatment is only observed with error. We show that, provided the observed running... -
Revisiting the effect of growing up in a recession on attitudes towards redis...
Giuliano and Spilimbergo (2014) show that individuals who experienced a recession when young are more likely to favor redistribution in the short and long run. We revisit their... -
The role of sex segregation in the gender wage gap among university graduates...
In this paper we examine the gender wage gap among university graduates in Germany from 1997 to 2013 based on the DZHW (the German Centre for Higher Education Research and... -
Bayesian Collapsed Gibbs Sampling for a Stochastic Volatility Model with a Di...
This dataset has no description
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Deep Distributional Time Series Models and the Probabilistic Forecasting of I...
This dataset has no description
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Identifying and Interpreting the Factors in Factor models via Sparsity: Diffe...
This dataset has no description
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General Bayesian time‐varying parameter vector autoregressions for modeling g...
US yield curve dynamics are subject to time-variation, but there is ambiguity about its precise form. This paper develops a vector autoregressive (VAR) model with time-varying... -
Bayesian estimation of multivariate panel probits with higher‐order network i...
This paper proposes a Bayesian estimation framework for panel data sets with binary dependent variables where a large number of cross-sectional units are observed over a short... -
Do words hurt more than actions? The impact of trade tensions on financial ma...
We use machine learning techniques to quantify trade tensions between the United States and China. Our measure matches well-known events in the US-China trade dispute and is... -
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...
