We develop a return variance decomposition model to separate the role of different types of information and noise in stock price movements. We disentangle four components: market-wide information, private firm-specific information revealed through trading, firm-specific information revealed...

This paper investigates the evolution of the gender wage gap in South Africa, using the 1993-2015 Post-Apartheid Labour Market Series data set. The changes in the gap are heterogeneous across the wage distribution. There has been a substantial narrowing of the gap at the bottom of the...

In this article, we investigate the relevance of structural change in country-wide productivity growth considering within-country differences. For this purpose, we propose a two-step decomposition approach that accounts for differences among subnational units. To highlight the relevance of our...

The authors contribute to the debate regarding the reliability of output gap estimates. As an alternative to the Hodrick-Prescott (HP) filter, they propose a simple modification of the filter proposed by Hamilton in 2018 that shares its favorable real-time properties, but leads to a more even...

This paper investigates the nonlinearity in the effects of news shocks about technological innovations. In a maximally flexible logistic smooth transition vector autoregressive model, state-dependent effects of news shocks are identified based on medium-run restrictions. We propose a novel...

Recentered influence functions (RIFs) are statistical tools popularized by Firpo, Fortin, and Lemieux (2009) for analyzing unconditional partial effects on quantiles in a regression analysis framework (unconditional quantile regressions). The flexibility and simplicity of these tools has opened...

The German workforce is expected to decline in future and labour-oriented immigration should counteract labour shortages. Fair wages in Germany set incentives for foreigners to immigrate there. Therefore this paper aims to shed new light on the decomposition of the wage gap between foreign and...

High dimensional composite index makes experts' preferences in setting weights a hard task. In the literature, one of the approaches to derive weights from a data set is Principal Component or Factor Analysis that, although conceptually different, they are similar in results when FA is based on...

Exploring dynamics of household final consumption is an important concern for policy-makers. Turkey had witnessed various financial shocks and crises over the last two decades. These turbulent economic periods affected consumption behaviour and therefore, other macroeconomic variables. In this...

We consider the estimation and inference in a system of high-dimensional regression equations allowing for temporal and cross-sectional dependency in covariates and error processes, covering rather general forms of weak dependence. A sequence of regressions with many regressors using LASSO...