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A numerical implementation of a discretization scheme of the hydrodynamic model for submicron devices is described and applied to a one‐dimensional ballistic diode. The performance of the numerical method and the physical results of the simulation for different biases and lattice temperatures, and a brief comparison to Monte Carlo simulations, are also given.

The study examines the impact of fiscal policy shocks on economic growth and income inequality in Ghana. This has become necessary because of the interdependence between growth and income inequality and the role fiscal policy plays in this relationship in the development process of a country. Thus, a study that investigates how government expenditure shock and tax revenue shock influence the relationship between economic growth and income inequality could assist policymakers to adopt the best policy mix to ensure income equity and sustained economic growth in Ghana.

It employs sacrifice ratio from structural VAR model using quarterly time series data from 1996 to 2019 on Ghana.

Our results show that government expenditure shock impacts economic growth, exchange rate and education positively and significantly in the long run. Also, tax revenue shock has a positive impact on income inequality, economic growth and education. The findings further show that there exists a trade-off between economic growth and income inequality in the long run.

The relationships between fiscal policy shocks, economic growth and income inequality have been extensively discussed among scholars. Understanding how these three macroeconomic variables are determined and their interrelationships are crucial for policymakers. This is because fiscal policy aids in both economic growth and income inequality. In the empirical literature, the emphasis has been on independently estimating the growth effects of fiscal policy or the distribution effects of fiscal policy, leaving out the existence of possible trade-off between economic growth and income inequality following a fiscal shock. To the best of our knowledge, no empirical study has been done on Ghana to empirically examine the trade-off between economic growth and income inequality as we do in this paper.

One major source of inflation in India is her import of intermediate inputs. In the modern globalized world, where India is deeply integrated with the world economy, exchange rate affects inflation through various channels. This chapter attempts to gauge the extent of exchange rate pass through to inflation. Using the co-integration framework, this chapter finds considerable evidence of imported inflation in the long run, almost 40%–74% for CPI-IW. At the same time, we also discern evidence of short-run price stickiness of CPI-IW. However, for CPI-AL, the extent of pass-through is a meager 14%. This is due to the fact that CPI-IW gives more weightage to imported components while CPI-AL gives more weight to food and clothing, which are mainly domestically produced.

The chapter explains the Blockchain and its application in cryptocurrency and in various sectors. It gives an insight into the level of adoption of Blockchain technology globally based upon industry, country, and component. China is leading all nations worldwide, followed by the United States. The study will help to understand future research regarding its applications in different sectors of the economy. The study will also help to understand the significance and complications regarding risk and regulation. Its adoption in the logistics and supply chain is meant to achieve error-free communication and efficient tracking management.

A brand is a kind of sign by which we can distinguish one commodity from another. Commodity prices, as well as consumers’ utility and firms’ profit, are affected by brands. Presents a theoretical framework that incorporates aspects of brand in microeconomic analysis. The theory developed makes it possible to infer the quality of differentiated products from the price distribution of the second‐hand market for that product. A case study illustrates the workings of the methodology; the application evaluates the quality of the Japanese motorcycle manufacturers.

This paper aims to investigate how different uncertainty shocks affect international housing prices.

The authors set up a model of housing price instability with four uncertainty variables and apply the panel generalized method of moments method and quantile regression to estimate the linear and non-linear linkages among the variables based on data of 56 countries from 2001Q1 to 2018Q2.

Some empirical findings are as follows. Higher macroeconomic uncertainty and global economic policy risk increase housing price instability, whereas greater financial uncertainty and geopolitical risk present reverse effect. Four uncertainty variables are good signals for housing price changes in Asia, and geopolitical risk takes leading role in Europe. Macroeconomic uncertainty positively impacts housing price instability only at a low or middle level in all regions, as financial uncertainty, global economic policy uncertainty and geopolitical risk effects in all regions are smaller at the middle or high level of housing price instability; this confirms the existence of non-linear correlation between each variable.

The findings help investors and policymakers gain a better notion of housing price instability and control into uncertainty signal that could cause housing price instability crash.

The purpose of this paper is to complement theoretical and qualitative literature with empirical evidence on the income-redistributive effect of mobile phone penetration in 52 African countries.

Robust ordinary least squares and two stage least squares empirical strategies are employed.

The findings suggest that mobile penetration is pro-poor, as it has a positive income equality effect.

“Mobile phone”-oriented poverty reduction channels are discussed.

It deviates from mainstream country-specific and microeconomic survey-based approaches in the literature and provides the first macroeconomic assessment of the “mobile phone”-inequality nexus.

In recent years, housing prices in Brazil have shown a surprising growth. An important issue is trying to understand what elements can explain this behavior. This study aims to investigate the hypothesis that a generalized optimism associated with government policies directed to the housing sector may be behind the behavior of real estate prices. This study develops a dynamic stochastic general equilibrium (DSGE) model to investigate these issues. The results showed that subsidies combined with the easing of credit conditions were able to positively influence real estate prices. Moreover, unanticipated shocks had a greater impact on housing prices than anticipated shocks.

The DSGE model was developed to analyze the relationship between economic agents’ expectations about future economic developments, also known in the literature as “news shocks,” expansionary fiscal policy and housing prices in Brazil. The economy is composed of families, entrepreneurs, final goods firms, a financial sector and a fiscal authority. Families are divided into two groups: patients or savers and impatient or debtors. They differ in terms of their intertemporal discount factors. Both provide labor for firms producing non-durable goods. Impatient families are restricted in the amount of borrowing they can take. The production side of economy model is given by the consumer goods production sector. The financial sector is composed of a representative bank that pays the deposits made by patient families and channels resources for the granting of housing loans with the accumulation of assets subject to regulatory restrictions.

The results show that both price subsidies and subsidized interest rates exerted a positive influence on housing prices in Brazil. In response to a housing demand shock, housing prices display a greater increase the greater are the subsidies to low income families. The authors show that anticipated shocks have a larger impact on housing prices than unexpected shocks. Therefore, the results support the idea that the wave of good news, optimistic behavior and government policies aimed at the housing sector were behind the behavior of housing prices in Brazil.

There are some studies applied to the Brazilian economy that mention some of these stimuli. In this study, the authors focused on studies proposed by Mendonça et al. (2011), Mendonça (2013), Silva et al. (2014) and Besarria et al. (2016). In general, the authors show that there is a negative relationship between monetary policy instruments and real estate prices. This paper differs from these authors by considering the effects of government subsidies, subsidized interest rates and anticipated shocks from a DSGE model, thus explicitly addressing their effects on housing prices in Brazil.