The sport economic literature relies on the city size to proxy for the size of the home market of sports teams. This paper seeks to clarify whether the commonly used definition for home market size in sports economics is actually a valid measure for revenue potential in the modern digital age....

A strukturális egyenletek módszere (SEM) népszerű többváltozós elemzési eszköz a marketingkutatások területén, mivel látens változók és a közöttük lévő kapcsolatok feltárását teszi lehetővé. A módszer két fő iránya a varianciaalapú (PLS) és a kovarianciaalapú...

Experts' voting behavior is conjectured to be more objective than peer voting (own group/peers) and public voters (everyone interested), who are supposedly influenced by all sorts of subjective aspects. We examine differences in voting behavior between these groups by analyzing the voting...

Distancing policies became the primary preventive intervention during the COVID-19 pandemic. This paper estimates the effect of such interventions on the effective reproduction number (Rt) of this virus on a daily panel of 109 countries. Distancing interventions affect COVID infections...

The sport economic literature relies on the city size to proxy for the size of the home market of sports teams. This paper seeks to clarify whether the commonly used definition for home market size in sports economics is actually a valid measure for revenue potential in the modern digital age....

The purpose of this paper is to establish a positive correlation between property rights and economic freedom. It seeks to demonstrate that property rights lead to economic freedom. From a purely theoretical perspective, it has been assumed that greater access to property rights leads to...

The business environment dynamics is governed by a high degree of uncertainty and risk; consequently, in a majority of cases investors face serious difficulties when making business decisions. Additionally, when detailed statistical information relating to industry is missing, any decisions may...

While the actions of economists and politicians can be influenced by facts, statistics or empirical predictions, narratives are becoming an increasingly important factor for the decision making in the field of economics and politics. Evaluating such narratives not at selective points in time but...

Identifying narratives in texts is a challenging task, as not only narrative elements such as the factors and events have to be identified but their semantic relation has to be explained as well. Despite this complexity, an effective technique to extract narratives from texts can have a great...

The prompt availability of information on the current state of the economy in real-time is required for prediction purposes and crucial for timely policy adjustment and economic decision-making. While important macroeconomic indicators are reported only quarterly and also published with...

This paper examines the econometric causal model for policy analysis developed by the seminal ideas of Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two popular causal frameworks: Neyman-Holland causal model and the do-calculus. The Neyman-Holland causal model...

Economists and social scientists have debated the relative importance of nature (one's genes) and nurture (one's environment) for decades, if not centuries. This debate can now be informed by the ready availability of genetic data in a growing number of social science datasets. This paper...

Assessing the state of the economy in real time is critical for policy-making, and understanding the risks to those assessments is equally important. Policy-makers are typically provided with point forecasts that contain insufficient information about risks. In contrast, predictive densities...

In the literature that estimates discrete games with incomplete information, researchers usually impose two assumptions. First, either the payoff function or the distribution of private information or both are restricted to follow some parametric functional forms. Second, players' behaviors are...

Evidence-based policy of global warming is best relying on a relevant sample of data. We choose a sample of annual data from 1959 to-date to provide some statistically robust stylized facts about the relationships between actual CO2 and temperature. Visually, there is a clear upward trend in...

Computational methods both open the frontiers of economic analysis and serve as a bottleneck in what can be achieved. Using the quantum Monte Carlo (QMC) algorithm, we are the first to study whether quantum computing can improve the run time of economic applications and challenges in doing so....

While the actions of economists and politicians can be influenced by facts, statistics or empirical predictions, narratives are becoming an increasingly important factor for the decision making in the field of economics and politics. Evaluating such narratives not at selective points in time but...

Identifying narratives in texts is a challenging task, as not only narrative elements such as the factors and events have to be identified but their semantic relation has to be explained as well. Despite this complexity, an effective technique to extract narratives from texts can have a great...

The prompt availability of information on the current state of the economy in real-time is required for prediction purposes and crucial for timely policy adjustment and economic decision-making. While important macroeconomic indicators are reported only quarterly and also published with...

Some interventions or population attributes negate the effects of a treatment. This paper shows that incorporating these, what we call antidotal variables (AV), into a causal treatment effects analysis can with one cross-sectional regression identify the true causal effect, in addition to...

Egypt's industries heavily rely on imported goods for production. Thus, an increase in imports could have a potentially positive effect on the labor market as it means more inputs for the production of exporting goods. Alternatively, minimal backward linkages in global value chains (GVCs) could...

Unlike many countries, Egypt did not experience significant labor market improvements following trade liberalization. In this paper, we build upon the earlier work of Robertson et al. (2021) to investigate why increased Egyptian exports did not directly increase employment. To illustrate the...

In this paper, we explore the relationship between foreign aid fungibility and aggregate welfare. Using panel data from 35 low-income and lower-middle-income countries, we first check the presence of sectoral aid fungibility in our sample and find evidence for it. We then use econometric methods...

The persistence literature in economics and related disciplines connects recent outcomes to events long ago. This influential literature marks a promising development but has drawn criticism. We discuss two prominent examples that ground the rise of the Nazi Party in distant historical roots....

This paper proposes a new spatial lag regression model which addresses global spatial autocorrelation arising from cross-sectional dependence between counts. Our approach offers an intuitive interpretation of the spatial correlation parameter as a measurement of the impact of neighbouring...

In recent years, the tendency of the number of financial institutions to include cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital assets to be included by asset managers. Although they have some commonalities with more traditional assets, they...