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This chapter does three things. First, it estimates regional gross domestic product (GDP) for three different geographical levels in Switzerland (97 micro regions, 16 labor market basins, and 3 large regions). Second, it analyzes the evolution of regional inequality relying on a heuristic model inspired by Williamson (1965), which features an initial growth impulse in one or several core regions and subsequent diffusion. Third, it uses index number theory to decompose regional inequality into three different effects: sectoral structure, productivity, and comparative advantage.

The results can be summarized as follows: As a consequence of the existence of multiple core regions, Swiss regional inequality has been comparatively low at higher geographical levels. Spatial diffusion of economic growth occurred across different parts of the country and within different labor market regions. This resulted in a bell-shaped evolution of regional inequality at the micro regional level and convergence at higher geographical levels. In early and in late stages of the development process, productivity differentials were the main drivers of inequality, whereas economic structure was determinant between 1888 and 1941. The poorest regions suffered from comparative disadvantage, that is, they were specialized in the vary sector (agriculture), where their relative productivity was comparatively lowest.

The goal of this paper is twofold: to estimate the unrecorded economy (UE) of Turkey over the period 1987‐2007 using a revised version of the currency demand approach, and to analyze the relationship between the UE and recorded GDP.

The paper proposes to measure the UE using the autoregressive distributed lag (ARDL) approach to cointegration analysis. Toda‐Yamamoto causality tests are also conducted to identify the relationship between unrecorded and recorded GDP.

This research provides fresh evidence of the size of the UE relative to the recorded GDP in Turkey, which ranges from 10.7 percent to 18.9 percent over the estimation period. Moreover, empirical evidence concretely suggests that causality runs from the recorded GDP to the UE. However, there exists a mild reverse causality.

Measures of the UE, and particularly those based on monetary approaches, have been criticized on several counts, including their lack of robustness and weak theoretical foundations (e.g. the velocity of money in the recorded economy and in the UE is the same).

This analysis suggests that the UE is pro‐cyclical with respect to the recorded GDP. It suggests that the phenomenon of the UE is more dangerous when the economy is in an expensive phase. Hence, during a positive business cycle, it is clearly desirable for the government that the anti‐UE controls should be more effective.

The ARDL approach to estimating the size of the UE eliminates the criticism of the previous currency demand estimations, which were based on partial adjustment models. Therefore, the paper's econometric selected cointegration methodology and causality test is an improvement over the existing studies.

The purpose of this paper is to explore the drivers of economic growth in South Asia region for the period of 1975–2016 using the World Bank data.

Panel corrected standard error (static estimation) approach and one-step system generalised method of moments (dynamic estimation) approach are used.

Both the static and dynamic estimations indicate that energy use, gross capital formation and remittances are the main drivers of economic growth in South Asian countries. The effects of all these variables are positive and significant. The extent of the effect of energy use is much higher than that of other two variables on the economic growth. A 1 per cent increase in the growth of energy consumption can expedite the gross domestic product growth by approximately 3 per cent in South Asia. However, the key variables, such as trade, government expenditure and foreign direct investment demonstrate no significant effect.

The current research is original in the sense that it investigated the issue with a new data set using improved econometric techniques. Moreover, in South Asia as a whole, this kind of study is totally absent, particularly with panel data of a large number of years. Furthermore, this study has taken into account the problem of heterogeneity and the biases created by cross-section dependence, which were mostly absent in previous studies. Therefore, the findings of this research are new contributions to the existing literature.

This study investigates the impact of financial development, measured by the ratio of broad money to gross domestic products, on de jure central bank (CB) independence (CBI) in 17 countries in the Asia–Pacific region from 1995 to 2014.

This study uses the feasible generalized least squares (FGLS) approach, which is suitable since the CBI equation suffers from contemporaneous correlation, serial correlation and heteroscedasticity.

The FGLS results suggest a positive association between CBI and financial market development (FMD). This relationship is confirmed when estimating different indicators of de jure CBI and adopting the panel-corrected standard error estimate. However, the statistical significance of FMD is not supported when the ratio of domestic credit to the private sector to GDP is measured.

It is significant to have a developed financial system to foster a better CBI. Moreover, it is important to measure the influence of financial market players on the operations of a CB.

The financial market in the Asia–Pacific has improved over the years. Hence, the results show the determinants of CBI in the Asia–Pacific, especially the role of FMD.

This paper uses a method devised by Geary and Stark to estimate regional GDPs for 24 Swedish provinces 1855–2000. In empirical tests, we find that the Swedish estimations yield results of good precision, comparable to those reported in the international literature. From the literature, we generate six expectations concerning the development of regional GDPs in Sweden. Using the GDP estimations, we test these expectations empirically. We find that the historical regional GDPs show a high correlation over time, but that the early industrialization process coevolved with a dramatic redistribution of productive capacity. We show that the regional inequalities in GDP per capita were at their lowest point in modern history in the early 1980s. However, while efficiency in the regional system has never been as equal, absolute regional differences in scale of production has increased dramatically over our investigated period. This process has especially benefited the metropolitan provinces. We present detailed sources of our estimations and also sketch a research agenda from our results.

From the perspective of the macro‐economy and real estate sector interaction, this paper aims to examine the maturing prime retail real estate sector versus the developing suburban retail real estate sector.

This paper adopts a highly specific dynamic computable general equilibrium model under system dynamics programming to structure the resulting system complexity within the context of Singapore.

Ex post and ex ante model estimations find that the suburban retail real estate sector is on the whole more susceptible to gross domestic product (GDP) growth policy that affects both GDP expansion and retail rents in actual and expectation terms as well as returns.

The DCGE model ex ante estimations for the planned scenarios, under low or high GDP growth for the prime and suburban retail real estate sectors, enhances understanding of structural factors and dynamic interaction in the maturation phase of the prime retail real estate sector in Singapore.

In comparison, Singapore's suburban retail real estate sector is found to be in a developing phase.

There is limited local research on the underlying relationship between the economy and the retail real estate sector, although Singapore's retail sector and retail real estate sector form an integral part of sustainable economic expansion.

The purpose of this paper is to examine the impact of migration on economic growth and human development in selected Sub-Saharan African (SSA) countries.

The estimations were carried out in a panel of 19 selected SSA countries over the period 1990-2013, using the two-stage least squares estimation techniques. Two measures of migration, namely stock of international migrants and the ratio of personal remittances received to personal remittances paid were used in the study to carry out this investigation.

The results conform to the findings of existing literature, namely that social expenditure, domestic investment, financial inclusion, income inequality, income and human poverty are significant determinants of either human development or per capita GDP in Sub-Saharan Africa. The distinctive feature of the study is the significant but negative role played by migration in explaining human development and economic growth in the region. The results from the panel estimations reveal that an increase in the measures of migration deteriorates the level of human development and growth of the region.

The major limitation of this study is the unavailability of quality data on migration flows. Therefore, it would be imperative to reinvestigate the specifications adopted in this study in follow-up studies.

The study includes implications for policy makers, especially in SSA countries, that the pattern and flow of migration does not circulate within the region and has tended to drain out human capital to other regions of the world. In the same event, the stock of migrants residing in the region may be low-skilled migrants that do not contribute directly to the level of human development.

To assess the impact of migration on economic growth and development such as the SSA region, it is imperative to follow the growth-based, capacity-based and asset-based approaches to development. This study has made this distinction.

This chapter proposes a vector autoregressive VAR model with structural shocks (SVAR) that are identified using sign restrictions, and whose distribution is subject to time varying skewness. The authors also present an efficient Bayesian algorithm to estimate the model. The model allows tracking joint asymmetric risks to macroeconomic variables included in the SVAR, and provides a structural narrative to the evolution of those risks. When faced with euro area data, our estimation suggests that there has been a significant variation in the skewness of demand, supply and monetary policy shocks. Such variation can explain a significant proportion of the joint dynamics of real GDP growth and inflation, and also generates important asymmetric tail risks in those macroeconomic variables. Finally, compared to the literature on growth- and inflation-at-risk, the authors find that financial stress indicators are not enough to explain all the macroeconomic tail risks.

Public libraries are institutions that provide information services to all citizens in a country and support the development of lifelong learning, awareness and creativity. All these provide an advantage for having a developed economy and being a developed society. This study aims to reveal the interaction between the gross domestic product (GDP) and public library usage in Turkey. The study also purposed to increase awareness of the economic benefits of public libraries.

In the study, a vector autoregression (VAR) model and co-integration techniques were used. Johansen co-integration test was used examining the long-term relationship between the variables. Due to the variables moving together in the long term, the vector error-correction model was preferred instead of the VAR model, as a result.

According to the causality test results, GDP was found to be affected when there was a change in the number of library users. According to the Granger causality test result, a change in GDP was also found to have a significant effect on the number of library users. All these indicate an interaction between GDP and public library usage in Turkey between 2001 and 2017.

The revealed interaction between GDP and the number of public library users can be useful for policymakers who are making decisions to develop public library services and to increase GDP.

The interaction between public library usage and GDP can be seen such as an unlikely combination. However, this study presented a mutual interaction between public library usage and GDP. The findings of the study will be of a great importance in developing countries to be motivated to make public library services better.

Most empirical papers on threshold effects between debt and growth focus on developed countries or a mix of developing and developed economies, often using public debt. Evidence for developing economies is inconclusive, as is the analysis of other threshold effects such as those probably caused by the level of relative development or the repayment capacity. The objective of this study was to examine threshold effects for developing economies, including external and total debt, and identify them in the debt-growth relation considering three determinants: debt itself, initial real Gross Domestic Product (GDP) per capita and debt to exports ratio.

We used a panel threshold regression model (PTRM) and a dynamic panel threshold model (DPTM) for a sample of 47 developing countries from 1970 to 2019.

We found (1) no evidence of threshold effects applying total debt as a threshold variable; (2) one critical value for external debt of 42.32% (using PTRM) and 67.11% (using DPTM), above which this factor is detrimental to growth; (3) two turning points for initial GDP as a threshold variable, where total and external debt positively affects growth at a very low initial GDP, it becomes nonsignificant between critical values, and it negatively influences growth above the second threshold; (4) one critical value for external debt to exports using PTRM and DPTM, below which external debt positively affects growth and negatively above it.

The outcome suggests that only poorer economies can leverage credits. The level of the threshold for the debt to exports ratio is higher than that found in previous literature, implying that the external restriction could be less relevant in recent periods. However, the threshold for the external debt-to-GDP ratio is lower compared to previous evidence.