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This study searches for sentimental herding in Borsa Istanbul (BIST) during the last decade using a state-space model employing cross-section standard deviations of systematic risk (Beta). It has been found that herding toward the market in the BIST-100 is both statistically significant and persistent independently from market fundamentals such as the volatility of returns and the levels of market returns. Herding trends over the sample period indicate that the financial crisis in 2000–2001 appeared to bring about sentimental herding in BIST which was followed by a calm period during which investors turned to fundamentals. Thereafter, we observe a volatile adverse herding pattern till the end of 2011 due to the confusing environment caused by the internal and external events.

Internet technology and social media especially from mobile social commerce are known to have lavish impacts on the economic development. The purpose of this study was to identify the impact of the online market on the level of social welfare of online market traders which is proxies by the level of income. Bulan Terang Utama (BTU) area was used as an object in this study due to the fact that it is a subsidized housing area with a level of middle-income community income. The method used in this study was a quantitative method using the analysis of three-stage least square (3SLS). The results of the 3SLS estimation indicate that there was a significant increase in online seller income with the presence of the BTU online market. This situation happened by the fact that many buyers switch to sellers after they join the BTU Online Market. They began as a buyer and then offered their merchandise through the online market and became a permanent seller in this group. When many residents in these areas are using online markets as their primary place for selling, there will be need for strong connectivity (internet network) in each region to develop current economic activities. Furthermore, the government rule in enhancing technology literacy is also very important especially for the middle to lower regions.

This chapter analyses some internal territorial and economic conflicts in Spain among its autonomous communities. The Basque country has a very favourable tax system from 1878, which historically is stipulated in the Spanish constitution as a special case. This generates an asymmetry with respect to the other 18 Spanish communities including Catalonia, which would like to have a fiscal regime similar to that of the Basque country. After the Spanish state has built the fiscal balances for all autonomous communities, the Catalans argue that Spain steals them and they demand independence for Catalonia, which would affect the political and economic stability of the European Union. Specifically, this chapter attempts to describe a way to resolve territorial conflicts that have been exacerbated by the results of the fiscal balances in a context of fiscal decentralisation, since capital stock balances are not considered in the fiscal balances or in the inter-regional balance of payments. In this chapter, a production function approach, where the public capital production factor is separated into internal and imported capital stock, is used to calculate how the capital stock of the transportation infrastructure actually used can affect the labour productivity in each province or region. This study takes into account the direct effects of the capital stock of the road transport infrastructure of a region and the indirect effects that it receives from the use of infrastructures in other regions. Both types of public capital have been calculated by a network analysis, which allows us to calculate the stock of public capital effectively used in commercial activities, across 47 Spanish provinces during the period 1980–2007. The author estimates the spillover effects using spatial panel data techniques including spatial auto-correlation models with auto-regressive disturbances. In terms of labour productivity, the results indicate that the stock of imported capital is highly significant in all estimates while internal capital is not significant for all Spanish provinces, which classifies the Spanish provinces into users and used. This indicates that capital stock balances should be considered in some way into the inter-regional compensation fund to balance local fiscal balances, minimising some conflicts among regions.

Panel data provide the possibilities of estimating individual treatment effects for multiple individuals. Two issues are considered: (1) differences in the estimated individual treatment effects are due to heterogeneity or a chance mechanism? (2) what is the best way to estimate the average treatment effects? Testing and aggregation methods are suggested. Monte Carlo simulations are also conducted to shed light on these two issues. An empirical analysis on the involvement of underground organization in China’s Peer-to-Peer (P2P) activities through the “anti-gang” campaign is also provided.

In this chapter we investigate the finite sample properties of a Hausman test for the spatial error model (SEM) proposed by Pace and LeSage (2008). In particular, we demonstrate that the power of their test could be very low against a natural alternative like the spatial autoregressive (SAR) model.

In this chapter, I review recent evidence on the developmental origins of health inequality. I discuss the origins of the education-health gradient, the long-term costs caused by early life adversity, and how early life experiences affect the biology of the body. Additionally, I provide complementary evidence on enrichment interventions which can at least partially compensate for these gaps. I highlight emerging lines of scientific inquiry which are likely to have a significant impact on the field. I argue that, while the evidence that early life conditions have long-term effects is now uncontroversial, the literature needs to be expanded both in a theoretical and empirical direction. On the one hand, a model linking early life origins to ageing needs to be developed; on the other hand, a better understanding of the mechanisms – both biological and socioeconomic – is required, in order to design more effective interventions.

To determine the factors that motivate rural households to supply ganyu labor and to estimate its impact on food security.

Data from the 2010/2011 Malawi household survey were used. A probit model to evaluate the determinants of ganyu labor supply and a propensity score-matching estimator to assess its impact on food security were used.

Less educated males are more likely to supply ganyu labor. Ganyu labor supply increases with household size, while it decreases with the level of crop farming and size of land owned. Results from the average treatment effect indicate a positive and significant impact of ganyu labor participation on the number of meals consumed per day.

Ganyu labor participants in Malawi have better access to food as a result of cash income from ganyu. Government support mechanisms such as minimum wage regulations should consider the welfare of ganyu labor participants.

Financial sustainability in emerging market economies crucially depends on stable foreign capital inflows as these countries lack adequate domestic capital and sophisticated technology. This study attempts to examine the impact of major political risk factors in the emerging market economies along with basic economic fundamentals such as institutional variables like per capita electric consumption, trade openness, and real rate of interest. We have followed a static panel data approach in studying the impact of these crucial variables in Foreign Direct Investment (FDI) inflows in 15 major emerging economies for the period 2000–2014. Risk perceptions, i.e., political risk data, have been collected from the International Country Risk Guide (ICRG) provided by the Political Risk Services (PRS) Group. In our research purpose, we have considered dependent variable as FDI inflows for 15 emerging countries during the period 2000–2014, which are drawn from the United Nations Conference on Trade and Development (UNCTAD, 2014, 2015) FDI database. Our results demonstrate that there are six subcomponents of risk perception (political risk) which are statistically significant in explaining variation in FDI inflows of the major emerging countries. The results show that government stability, socioeconomic conditions, religious tension, and bureaucracy quality have a positive impact on FDI inflows of emerging countries, whereas internal conflict and law and order have a negative impact on FDI inflows of these countries. Stable government is more attractive to foreign investors. Again, an improvement in the socioeconomic conditions is positively related with FDI inflows in emerging countries. Decreasing bureaucracy leads to a reduction in corruption, and assists expanding FDI flows in the emerging country.

Claims and disputes are often unavoidable in the construction industry due to its unique and complex characteristics involving the massive investment of capital, lengthy project duration, and multiple project stakeholders. This chapter intends to identify the critical construction claims attributes, compare the perceptions of major stakeholders on different claim attributes, and investigate the contrast of the top five claim attributes between this study and previous ones. The literature review resulted in 48 claim attributes responsible for the construction project schedule delays. These attributes were then presented to Vietnam construction industry (VCI) practitioners in the form of a questionnaire survey. Data analysis was done based on the collected 113 qualified samples. Relative importance index (RII) was applied to determine the ranking of claim attributes. The results were that the top five causes of claims, that is, payment delays, mistakes by contractor during construction stage, delays in work progress by the contractor, financial failure of the contractor, and frequently changing requirements by the owner, lead to the schedule delays in VCI. These findings can assist the local industry practitioners and foreign companies seeking a share in the VCI market in understanding the causes of construction claims comprehensively and formulating the countermeasures to minimise their impacts and hence reduce the unnecessary losses and raise the likelihood of success as well as maintain sustainable relationships among stakeholders.

Peers and friends are among the most influential social forces affecting adolescent behavior. In this chapter, the authors investigate peer effects on post high school career decisions and on school choice. The authors define peers as students who are in the same classes and social clubs and measure peer effects as spatial dependence among them. Utilizing recent developments in spatial econometrics, the authors formalize a spatial multinomial choice model in which individuals are spatially dependent in their preferences. The authors estimate the model via pseudo maximum likelihood using data from the Texas Higher Education Opportunity Project. The authors do find that individuals are positively correlated in their career and college preferences and examine how such dependencies impact decisions directly and indirectly as peer effects are allowed to reverberate through the social network in which students reside.