International Journal of Empirical Economics

The percentage of foreign born residents in the United States has steadily risen over the past half century. This increase has been even more marked for athletes where, in some cases, the foreign born percent on professional sports rosters has approached 30%. We examine the impact this rise has had on Major League Baseball. In contrast to the previous literature which use aggregate data, we investigate how an individual team’s geographical diversity interacts with its performance across time. We find that a rise in a team’s foreign born percentage increases their ‘on the field’ performance.

Due to the rapid growth of the Chinese housing market over the past ten years, forecasting home prices has become a crucial issue for investors and authorities alike. In this research, utilising Bayesian optimisations and cross validation, we investigate Gaussian process regressions across various kernels and basis functions for monthly residential real estate price index projections for ten significant Chinese cities from July 2005 to April 2021. The developed models provide accurate out-of-sample forecasts for the ten price indices from May 2019 to April 2021, with relative root mean square errors varying from 0.0207% to 0.2818%. Our findings could be used individually or in combination with other projections to formulate theories about the trends in the residential real estate price index and carry out additional policy analysis.

This paper aims to reassess multidimensional poverty measurement including the ease of doing business as an additional indicator with the existing measurements for 81 countries by human development, and identify how multidimensional poverty has changed during a very short period from 2014 to 2017. Further, using the tobit regression model, this study reveals the determinants of multidimensional poverty and its major indicators for both the periods. Results reveal that low human development countries are likely to be exposed to the highest multidimensional poverty as compared to moderate, high and very high human development countries. Surprisingly, we found that reduction of multidimensional poverty between 2014 and 2017 was the highest in moderate human development countries (8.18%), followed by high (5.27%), very high (3.94%) and low (2.67%) human development countries. Further, the findings from the regression results suggest that variables such as Global Climatic Risk index, Total Natural Resource Rents, Age Dependency Ratio and Urban Population Growth have a significant and positive impact on inducing multidimensional poverty irrespective of any group of countries. Contrastingly, Labour Force Participation Rate, higher score of Food Production Index, Personal Remittances Received and Volume of Trade significantly and negatively influence multidimensional poverty across the group of countries. As per the regression results, agricultural and external sectors (Food Production Index, Agricultural Land, Personal Remittances Received and Trade Volume) play a major role in reducing multidimensional poverty. This study will be helpful for the policy purpose to achieve the Sustainable Development Goals (SDGs) for the specific group of countries (SDGs 1–4, 6 and 7). Policy measures must focus largely on investment in the human capital along with prioritising climate risk reduction, proper planned urbanisation and strengthening legal rights for the vulnerable section of the people.