Federal Reserve Communications and Emerging Equity Markets

Work on the impact of U.S. monetary policy on emerging financial markets mostly focuses on official target rate announcements; empirical evidence using data on informal communication channels, such as speeches, is scant. Employing a unique data set covering formal and informal communication channels in a generalized autoregressive conditional heteroskedasticity model framework, we provide comprehensive evidence on the effects of U.S. monetary policy on 17 emerging equity market returns over the period 1998–2009. We find, first, that both monetary policy actions and communications have a significant impact on market returns. Second, target rate change surprises are an important driver of emerging market returns. However, informal communications—particularly when taking into account their higher frequency—have a larger (cumulative) influence on returns than do target rate surprises. Third, during the recent financial crisis, central bank communication played an even more pronounced role. Finally, American emerging markets react more to communications than do non‐American markets.     

Are Gay Men and Lesbians Discriminated against in the Hiring Process?

This article presents the first field experiment on sexual orientation discrimination in the hiring process in the Swedish labor market. Job applications were sent to about 4000 employers in 10 different occupations in Sweden. Gender and sexual orientation were randomly assigned to applications. The results show that sexual orientation discrimination exists in the Swedish labor market. The discrimination against the gay male applicant and the lesbian applicant varied across different occupations and appears to be concentrated in the private sector. The results also show that the gay male applicant was discriminated against in typical male‐dominated occupations, whereas the lesbian applicant was discriminated against in typical female‐dominated occupations. Theoretical implications are discussed.     

Understanding consumers' perspectives on food labelling in India

This study aims at identifying the factors influencing consumers' perception on food labelling and its impact on food purchase decision making, through personal interviews of 631 respondents using a structured questionnaire. To analyse the consumers' perceptions on food labelling, factor analysis has been carried out to identify the underlying dimensions among a set of food labelling attributes using the principal component analysis. Based on factor analysis, four sets of components/factors have emerged, that is, (i) serving method; (ii) quality and nutrition; (iii) production and storage; and (iv) product identification, which explain 66.271% of the variance. Logit regression analysis indicates that among the socio‐demographic indicators, the estimated coefficients for gender, education, income and location of residence are statistically significant. Similarly, information on quality and nutrition, production and storage processes, and basic information of the product is found to be significant, implying that these factors are more likely to influence the use of food labels in making informed purchase decisions by the consumers. The findings of the study give practical insights on food labelling issues for the food processors and policy makers.     

Exogenous information and input-output updating: An evaluation

Input-output coefficients' intertemporal instability, costs, and time lags involved in the construction of survey-based tables necessitate employment of nonsurvey updating techniques. Analysts, however, may want to include exogenous information in the updating process. The issue, then, is whether this inclusion ameliorates or aggravates the results. This paper attempts to assess the wisdom of incorporating exogenous information into the updating procedure. First, using the naive, RAS, and LaGrangian techniques, the 1966 table of the former Soviet Union was updated to 1972. Next, treating the top 10 percent largest 1972 coefficients as exogenous estimates, the remaining coefficients were updated via the same three methods. Comparison of the results indicates that exogenous determination of the largest coefficients does not change the methods' rankings while yielding substantial improvements in the forecasts. This paper was presented at the Forty-Sixth International Atlantic Economic Conference, Boston, MA, October 8–11, 1998.     

The impact of foreign direct investment and trade on economic growth Taking China, Korea, Malaysia, Philippines ＆ Thailand for example

In this study the authors make efforts to survey the impact of foreign direct investment and trade on the economic growth of five East Asian countries, China, Korea, Malaysia, Philippines and Thailand. Using an augmented production function （APF） growth model, the authors apply panel data Method and data span is from1980 to 2006. The required data are extracted from World Development Indicator 2008. The result shows that a co-integration relationship between growth and its determinants in the APF model is supported. Firstly, the study shows that with the increasing the inflow of foreign direct investment, positive impact on growth in Thailand, Korea and China is proved. However, this impact is negative in Philippine and Malaysia. Also the impact of trade on economic growth has the same result with FDI impact in sign. Further, the impact of labor force on growth is not significant in these countries and the effect of gross fixed capital on growth is positive and has a very high impact on selected countries.     

A Bibliometric Review of the Special Issues of Psychology & Marketing: 1984-2020

Psychology & Marketing (P&M), an internationally reputed journal, publishes original, peer-reviewed, empirical research on the application of psychological theories and techniques to marketing. The aim of this essay is to provide a bibliometric overview of the leading trends in the special issues of P&M over its history (1984–2020). Using bibliometric techniques, we analyze the impact of the special issues via their most cited papers, most productive authors, affiliated institutions and countries, as well as the best guest editors who contributed to the selection of the most cited special issue articles. Using network analysis VOSviewer software, we also group the special issues into four clusters to identify common themes. Further, we develop graphical visualization of coauthorships, bibliographic coupling, and cocitations. Results show that the most productive contributors are from American institutions and that P&M remains well connected to other leading journals in the marketing and psychology discipline, such as the Journal of Marketing Research, the Journal of Personality and Social Psychology, the Journal of Consumer Research, the Journal of Marketing, and the Journal of Business Research.     

Co‐authorship Network Analysis in the Accounting Discipline

The purpose of this study is to explore co‐authorship structures in the accounting discipline through social network analysis. For this purpose, we hand‐collected the authorship data of 10 863 papers published in 22 accounting journals listed on the Web of Science for the period 2000–2016. The findings indicate that the proportion of multi‐author papers has increased over time while the trend away from sole authorship has continued. The network indicators and visualisations reflect that accounting research manifests a small‐world property. Despite the large network size, a high number of ties among nodes, the size of giant components and a high clustering coefficient all support this inference. We hope that emphasis on collaboration metrics motivates and encourages researchers to engage with other scholars both locally and abroad. Furthermore, the development of research networks in the analysis period indicates that the trend is moving towards more collaboration; thus, being part of a team or team‐making is key to integration with other scholars.     

Green banking disclosure,firm value and the moderating role of a contextual factor: Evidence from a distinctive regulatory setting

The idea that green banking disclosure leads to increased firm value has been rightly considered as over-simplistic. This paper builds on key prior insights by investigating whether combining green disclosure with other contextual factor, such as non-performing loans, provides additional insight into the complex green disclosure–firm value relationship in a regulatory setting where green law has recently been enacted for the banking industry. We present an analysis of seven years of data sourced from listed banks in Bangladesh (2008–2014), with data analysed using multiple regression. Our findings indicate that, while green disclosure has a positive effect on the overall firm value of banks, this positive effect is negatively moderated by banks' non-performing loans. This research contributes to the knowledge by showing that green disclosure alone is insufficient for creating market value for banks. Additional contextual matters need attention to understand the impact of green disclosure in contributing to increased market value for banks.     

The economics of the Syrian refugee crisis in neighbouring countries: The case of Lebanon

In this article, we investigate the effects of a massive displacement of workers from a war‐torn economy on the economy of a neighbouring country. Applying a general equilibrium approach to the Lebanese economy, we explore effects from various components of the crisis on the labour market, the production apparatus and macroeconomic indicators. Along with previous literature, our findings suggest limited or no adverse effects on high‐skilled native workers, but a negative impact on the most vulnerable Lebanese workers. When aid takes the form of investment subsidies, significantly better growth and labour market prospects arise, recalling the necessity of complementing humanitarian aid with development aid to succeed in achieving long‐term objectives. This may however not be politically viable in a context where refugees are considered as temporary.