This study examines the relationship between firms' political connections and their confidence in achieving enhanced future sales. Using firm-level survey data from selected Middle Eastern and North African (MENA) countries, we apply ordered probit regressions to demonstrate that businesses with...

We use a new data set of daily visits of the website of the Federal Reserve Board to study the acquisition of information about monetary policy around meetings of the FOMC.

In this paper, I study the impact of financial integration on between-firm wage inequality using an unbalanced panel for 20 European countries over the period 1999-2021. With the impulse response functions estimated using local projections, I find that financial integration, as measured by the...

The rental building sector is plagued by the so-called landlord-tenant-dilemma, i.e. that landlords have no direct financial benefit from modernizations for energy efficiency if the tenant pays the energy bill while tenants have no incentives to save energy if the landlord pays. The primary...

The digitization has reshaped the multimedia industry in a tremendous way and particularly driven the transition from physical to digital goods. With respect to the book industry, Amazon reported that purchases of e-books had surpassed those of print books for the first time in 2011. The goal of...

This paper examines the sales distribution and genre composition of the German book market across different retail channels - e-commerce, chain stores, and independent bookstores - over the period 2011-2018. Utilizing a unique dataset comprising weekly sales data of approximately 50,000...

This study investigates the case of Iran to evaluate how changes in the intensity of international sanctions affect internal conflict in the target country. Estimating a vector autoregressive model for the period between 2001q2 and 2020q3 with quarterly data on internal conflict and its three...

James Hamilton put doubt on the quality of the HP filter estimates, and proposed an alternative regression approach to decompose trend and cycle of time series (H filter). We investigate the new H filter in detail and compare it to the HP filter. We apply both to German GDP time series. We find...

The COVID-19 pandemic highlighted significant challenges in designing social assistance strategies for crisis management. This study investigates optimal approaches using theoretical modeling and multinomial logit analysis of data from 47 countries during the pre-vaccination phase of 2020. The...

Environmental, social, and governance (ESG) criteria are increasingly central to corporate reporting. This study applies natural language processing (NLP) techniques, specifically a RoBERTa-based few-shot model, to conduct aspect-based sentiment analysis (ABSA). Our analysis targets ESG-related...