Research in Economics最新文献

The ongoing trend of high inflation across much of the world has reignited interest in inflation volatility with varying foci and methods. In this paper, we employ a Bayesian framework to estimate inflation volatility using a sample of G20 countries. Estimation results suggest persistent heterogeneity in price volatility across time and countries. Furthermore, we use the Bayesian estimates of volatility to conduct several empirical analyses on the implications of interdependence of economies, development status for uncertainty. Further analyses on the determinants of price volatility suggest that trade openness, COVID-19, and the Ukraine crisis have positive impacts on volatility. Additionally, the nature of the political institutions and the share of manufacturing in total national output are also found to affect volatility to some extent.

This paper examines the effect of fiscal and monetary policies on economic growth, inflation, environmental quality, and welfare. To this end, the horizontal-R&D growth model is extended to include pollution generated in the intermediate-goods production, and the demand for money through cash-in-advance (CIA) constraints on intermediate-goods production and R&D investment. Fiscal policy embodied in the taxation of pollution decreases output, profits, inflation, and wages in the intermediate-goods sector, reallocating labor to R&D that is the engine of economic growth. As it reduces pollution, it increases welfare if there are strong preferences for a clean environment. In turn, since the inflation rate is an increasing function of the nominal interest rate, the effects of changes in this monetary policy variable extend to the effects of changes in the inflation rate. An increase in the nominal interest rate penalizes employment, wages and output in the R&D sector relatively more if the respective CIA constraint is more demanding and thus economic growth decreases. As it also reduces pollution since decreases intermediate-goods production, it increases welfare if the preferences for a clean environment are strong enough.

There is a lively debate on whether football fans should pay a security fee to finance police activities. This paper investigates the price effect on the demand for tickets in a dynamic setting, by considering two subgroups of spectators, namely fans and hooligans. We analyze a situation in which the demand from each subgroup causes a negative social externality for members of the other group but a positive one for members of the same group. We show that charging a security fee may start a dynamic process, leading to fewer fans and more hooligans attending matches and thus, counterintuitively to even more violence. Therefore, the present study provides an argument to refrain from charging a security fee. As an alternative economic solution, we discuss the strategy of outpricing hooligans.

During the Covid pandemic, people weighed the benefits of social contact against the risks to their health. Ideally, people would respond based on the true infection rate; this is the rational model. However, there was high uncertainty, so perhaps people relied upon the heuristic model instead. I estimate revealed preferences for health and social contact at the county level and find evidence in favor of the heuristic model. This is important since many models of optimal policy assume that people respond to the true infection rate.

The purpose of this study is to determine the relationships between the implementation of start-ups and the dynamics of the main characteristics of national economic growth. In developing the methodological design of the study, a quantitative approach was used, which allowed realizing the advantages of the integrated use of correlation and regression analysis, analysis of trend models and general scientific methods of knowledge to analyze the time series model and prove the following hypotheses on the example of the economies of Canada, China, and South Korea. Н1: An increase in the number of start-ups has a positive impact on the sustainable development of the social sphere. Н2: More start-ups have a positive impact on the sustainable development of the economy. Н3: More start-ups have a positive impact on the sustainable development of the green society; Н4: The increase in the number of start-ups has a positive effect on the development of the institutional sphere. The study results substantiate a strong direct correlation between the implementation of start-ups and the achievement of the UN SDGs (Sustainable Development Goals), with a link proven not only for economic, but also for social, environmental, and institutional SDGs, which increases the importance of start-ups for achieving sustainable development in territories.

This study may be of interest to state and municipal officials in the implementation of measures to create a favorable startup ecosystem and to academic researchers, opening new avenues for future research.

We estimate a smooth ambiguity preference function, wherein an individual faces multiple probability predictions of policy outcomes, and then empirically measure their willingness-to-pay for the policy, ambiguity attitude, and ambiguity premium. Climate change mitigation policy is used as the example. The estimation results reveal that most people have ambiguity-seeking attitudes, but that these attitudes are heterogeneous across individuals. People who are older, are university graduates, have higher income, or trust more in science show stronger ambiguity-seeking attitudes. Their willingness-to-pay can be underestimated if ambiguity is not considered. Moreover, individuals with stronger ambiguity-seeking attitudes support aggressive mitigation policies more strongly. Our estimation strategy is generally applicable to policy evaluations wherein policy outcomes are ambiguous.

COVID-19 is a virus with a very fast spread rate in the world. Therefore, knowledge of factors that may explain such spread is paramount. The main objective of this research was to analyze the determinants of the virus spread worldwide. Unlike previous studies that were limited to traditional factors, this research extends the analysis to government measures (quarantine, containment, and response budget) against the spread of the virus. Thus, an econometric model relating the variable of interest to a number of variables was carried out using the Ordinary Least Squares (OLS) and the Two Steps Least Squares (2SLS) methods on a sample of 163 countries. The main findings indicate that economic factors such as the level of development, the degree of trade openness and the response budget to the COVID-19 pandemic, have a positive effect on the spread of the virus. With regard to social factors, the population density and confinement are major causes of the spread of the virus. Finally, temperature contributes to reduce the spread of the virus. These findings are robust to the estimation technique and to the measurement of the spread of the virus considered. In the light to these findings, implications for economic policies have been drawn.

We shed light on a nexus between fertility transitions and economic growth patterns. We construct a two-sector overlapping generations (OLG) model with endogenous fertility, physical capital, and human capital, where one sector produces goods, and another produces childcare services. If the elasticity of fertility for expenditure on childcare services is zero, the economy experiences endogenous growth, and fertility does not depend on physical and human capital, but it increases with parental child-rearing time. On the other hand, if elasticity is positive, the economy converges to a steady state, and the number of children becomes the homogenous function of degree of elasticity (less than one). In other words, fertility is the decreasing-return-to-scale function of physical and human capital. We show that a subsidy policy for education is more desirable than a subsidy for childcare services.

I develop a model in which the ability to repay a loan is private information that can only be verified by the bank at some costs, which can be recovered from the borrower if it has reported untruthfully. The bank will optimize the resources it spends on this auditing of borrowers and the resulting equilibrium is then characterized. It is shown that in equilibrium, a significant fraction of companies default strategically, but most are captured via auditing. The failure rates of banks are also small. Finally extensions are discussed to include limited liability to banks and the partial recovery of auditing costs as well as punitive costs to borrowers.