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This paper examines the determinants of happiness index ratings in European countries over 8 time points using unique data from the Eurostat, World Bank and World Happiness Reports.

To examine the determinants of happiness index ratings for EU-27 countries over the period 2012–2019, panel ordinary least square and quantile regression model are used to data obtained from all sample.

Evidence from European data on happiness index generate some important key outcomes; economic outcomes levels with both current taxes and inflation rate have a positively relationship on happiness index ratings (HIR), while total employment rate has a significant negativity on HIR. Additionally, in a quantile panel regression of 27 countries, the impact of financial inclusion on happiness index looks to change with a country's level of income. On the macroeconomic level, gross domestic product (GDP) improves the happiness index for the individual under certain conditions. Thus, GDP on 0.25th quantile levels positively and significantly impacts the HIR for leader countries.

Empirical evidence suggests that macro-economic variables and the labor market proxies of the countries play a key role in determining HIR as well.

The study extends the literature on developed countries and suggestions a particular perspective on the relationship between economic outcomes and happiness index. This study offers two main originalities: it simultaneously examines the “happiness-macroeconomic level” and “happiness-employment status dimension”, and it uses a quantile regression approach, including financial inclusion variation.

This chapter revisits the Hausman (1978) test for panel data. It emphasizes that it is a general specification test and that rejection of the null signals misspecification and is not an endorsement of the fixed effects estimator as is done in practice. Non-rejection of the null provides support for the random effects estimator which is efficient under the null. The chapter offers practical tips on what to do in case the null is rejected including checking for endogeneity of the regressors, misspecified dynamics, and applying a nonparametric Hausman test, see Amini, Delgado, Henderson, and Parmeter (2012, chapter 16). Alternatively, for the fixed effects die hard, the chapter suggests testing the fixed effects restrictions before adopting this estimator. The chapter also recommends a pretest estimator that is based on an additional Hausman test based on the difference between the Hausman and Taylor estimator and the fixed effects estimator.

This chapter reviews the recent developments in the estimation of panel data models in which some variables are only partially observed. Specifically we consider the issues of censoring, sample selection, attrition, missing data, and measurement error in panel data models. Although most of these issues, except attrition, occur in cross-sectional or time series data as well, panel data models introduce some particular challenges due to the presence of persistent individual effects. The past two decades have seen many stimulating developments in the econometric and statistical methods dealing with these problems. This review focuses on two strands of research of the rapidly growing literature on semiparametric and nonparametric methods for panel data models: (i) estimation of panel models with discrete or limited dependent variables and (ii) estimation of panel models based on nonparametric deconvolution methods.

Intellectual capital (IC) has been considered as a valuable asset in the wealth creation and sustainability of the company; however, limited and mixed results are found on its impact on firm financial performance and market value (MV). This paper aims to investigate the influence of IC toward MV and financial performance of publicly listed firms in Indonesia. In addition, this research also presents the comparison of the high and low level of knowledge industries regarding IC performance.

A balanced panel data of 127 firms from 12 industries in Indonesia during 2010 until 2017 was evaluated using dynamic panel regression and administering a well-developed Blundell–Bond instrument (dynamic panel data estimator) to account for endogeneity problem.

The results of this study showed that IC had a significant and positive impact on firm performance. Specifically, structural capital efficiency and capital employed (CE) efficiency have been contributed to the value creation of the company, after controlling for firm size and type of industry. Different to the theoretical expectation, this research found no significant relationship between IC and MV of the firm. However, when the sample was clustered into high-level and low-level knowledge industry, CE displayed positive and significant relationship in high-level industry.

This research contributes to IC research by having a larger sample of Indonesian firms from all industries except banks and financial institutions and using Modified Value Added Intellectual Capital measurement model. To address the endogeneity problem, dynamic panel regression using system generalized method of moment was applied.

This chapter provides an overview of the status of applied econometric research in hospitality and tourism management and outlines the econometric toolsets available for quantitative researchers using empirical data from the field. Basic econometric models, cross-sectional models, time-series models, and panel data models are reviewed first, followed by an evaluation of relevant applications. Next, econometric modeling topics that are germane to hospitality and tourism research are discussed, including endogeneity, multi-equation modeling, causal inference modeling, and spatial econometrics. Furthermore, major feasibility issues for applied researchers are examined based on the literature. Lastly, recommendations are offered to promote applied econometric research in hospitality and tourism management.

The R environment for statistical computing and graphics (R Development Core Team, 2008) offers practitioners a rich set of statistical methods ranging from random number generation and optimization methods through regression, panel data, and time series methods, by way of illustration. The standard R distribution (base R) comes preloaded with a rich variety of functionality useful for applied econometricians. This functionality is enhanced by user-supplied packages made available via R servers that are mirrored around the world. Of interest in this chapter are methods for estimating nonparametric and semiparametric models. We summarize many of the facilities in R and consider some tools that might be of interest to those wishing to work with nonparametric methods who want to avoid resorting to programming in C or Fortran but need the speed of compiled code as opposed to interpreted code such as Gauss or Matlab by way of example. We encourage those working in the field to strongly consider implementing their methods in the R environment thereby making their work accessible to the widest possible audience via an open collaborative forum.

The purpose of this paper is to examine the impact of changes in farm economic conditions and macroeconomic trends on US farm capital expenditures between 1996 and 2013.

A synthetic panel is constructed from Agricultural Resource Management Survey (ARMS) data. A dynamic system GMM regression model is estimated for farms as a whole and separately within farm typology categories. The use of farm typologies allows for comparison of the relative magnitudes of these estimates across farms by farm sales level and the operator’s primary occupation.

Changes in gross farm income levels, tax depreciation rates, and interest rates have a significant impact on crop farm investment, while changes in output prices, net cash farm income levels, tax depreciation rates, and farm specialization levels have significant impacts on livestock farm capital investment. The relative significance and magnitudes of these impacts differ within farm typologies. Significant differences include a greater responsiveness to change in tax policy variables for residential crop farms, greater responsiveness to changes in output prices and debt to asset ratios for intermediate livestock farms, and larger changes in commercial crop and livestock farm investment given equivalent changes in farm sales or the returns to investment.

These findings are of interest to agricultural economists when constructing farm investment models and employing pseudo panel methods, to those in the agricultural equipment and manufacturing sector when constructing models to manage inventories and plan for production needs across regions and over time, to those involved in drafting tax policy and evaluating the potential impacts of tax changes on agricultural investment, and for those in the agricultural lending sector when designing and executing agricultural capital lending programs.

This study uniquely identifies differences in the level of investment and the magnitude of investment responsiveness to changes in farm economic conditions and macroeconomic trends given differences in income levels and primary operator occupation. In addition, this study is one of the few which utilizes ARMS data to study farm capital investment. Utilizing ARMS data provides a rich panel data set, covering producers across many different crop production types and regions. Finally, employing pseudo panel construction methods contributes to efforts to effectively employ cross-sectional data and dynamic models to study farm behavior across time.

In this paper, we explore an extensive panel data set covering more than 4,000 listed firms in 16 European countries to study the effects of shareholder protection on ownership structure and firm performance. We document a negative firm-level correlation between shareholder protection and ownership concentration. Differentiating between shareholder types, we find that this pattern is mainly driven by strategic investors. In contrast, we find a positive correlation between shareholder protection and block ownership of institutional investors, in particular when we restrict the analysis to independent institutional investors. Finally, we find that independent institutional investors are positively associated with firm valuation as measured by Tobin’s Q. The opposite applies for strategic investors. Overall, our results are consistent with the view that (i) high shareholder protection and (ii) limited ownership by strategic investors make small investors and investors interested in security returns more confident in their investments.

With reference to the methodology of Prof Choudhry in his book “Tawhidi Epistemology and its Applications: Economics, Finance, Science, and Society” in 2014, in a different context, this study aims to present the conceptual fundamental of Islamic finance investment, where investment decisions are governed by Divine law and Islamic jurisprudence, followed by the empirical nature of real-world issues where investment decisions are governed by only financial indicators, using the Amman Stock Exchange as a case study.

As pointed out by Raderbauer (2011), research and industry initiatives mainly focus on environmental measures while ignoring the economic and socio-cultural dimension of sustainability. Recognizing the importance of a holistic understanding to define sustainable business practices for the accommodation industry. Financial markets are no exception; moral and values either coming from secular or religious understanding help to examine relationships between attitudes and actions, as well as differences in attitudes and actions related to the business’ characteristics. In business, ethical considerations apply to a broad list of virtues that companies, their managers and employees customarily seek to adopt. These include, but are not limited to, the encouragement of honesty, integrity and efficiency, as well as diversity and communication skills. One of the most common sources of ethical considerations is religion. In these cases, religious doctrine imparts a sense of applied ethics, where one considers what right conduct is, how to live a life pleasing to the Divine and how one should treat him/herself and others in accordance with those teachings. Again, as ethical considerations is a broad philosophical concept, it can apply to any situation where the person ponders the nature of right and wrong, how to recognize the difference and the meaning those conclusions carry for everyday life.

It can be concluded that the overall the quantitative and qualitative statistics showed that accommodation business manager’s decision has had a very little positive attitude toward sustainability and the implementation of sustainable business practices in ASE financial transaction, no matter what classification, type of business, ownership or size of business. Only rules and regulations govern the attitude and behavior when making financial transactions with profit is the main target. Moral indicators could not be seen throughout the analysis and test used to achieve objectives of the study at hand. One can imagine that the combined two factors together “Moral-Material” in implementing financial transactions will produce a more beneficial outcome. Achieving a material and holistic objective will produce an optimum situation, which can contribute positively to sustainable development.

Islamic alternatives to traditional investment tools have been driven by the fact that such tools do not conform to the Islamic general principles of the Shari’ah (Usmani, 2002). There has been a growing desire to have funds in which profits are not based on riba or interest, which is prohibited in Islam. Muslims deem that profit should come because of efforts; this is not the case in interest-dominated investments. In addition, there is a desire to have investment portfolios, which are morally purified. Thus, investments in companies that are not in compliance with the Shari’ah are not permitted and are eliminated from the portfolio. To ensure compliance with the forgoing condition, Shari’ah advisory boards whose role is mainly to give assurance that money is managed within the framework of Islamic laws govern Islamic mutual funds (Hassan, 2001; Hassan, 2002). On the other hand, dealing with the applied part, the paper will deal with a case study from Jordan (Amman Stock Exchange), where, code of ethics is issued by virtue of the provisions of Article 26 (e) of the Securities Law No. 23 of 1997. The Amman Stock Exchange operates as an exchange for the trading of securities. The company lists securities such as equities and bonds. Its activities include providing enterprises with a means of raising capital by listing on the exchange; encouraging an active market in listed securities based on the determination of prices and trading; providing facilities and equipment for trading the recoding of trades and publication of prices; monitoring and regulating market trading; and coordinating with the Jordan Securities Commission as necessary. The company’s activities also include ensuring compliance with the law, fair market and investor protection; setting out and enforcing a professional code of ethics.

This paper aims to report the results of an investigation of the relative importance of working capital management, measured by the cash conversion cycle (CCC), and its components (inventory, accounts receivable and accounts payable) to the profitability of SMEs.

The paper employs panel data regression analysis and a questionnaire survey on a sample of 133 Alternative Investment Market (AIM) listed SMEs. The panel data analysis utilises financial data for the period 2005 to 2009. The questionnaire survey results are based on 19 SMEs that responded.

Panel data analysis results show that the management of accounts payable (AP) and accounts receivable (AR) is important for SMEs profitability. However, AP management is relatively more important than AR management. Inventory (INV) and CCC management is not important for SMEs profitability. Questionnaire results suggest that management of CCC and all its components is perceived as important for SMEs profitability. In terms of relative importance, AR management is most important, followed by AP, INV and CCC respectively.

The sample is limited to AIM listed SMEs, and therefore the findings cannot be generalised to all companies.

Overall the results imply that the SMEs need to concentrate their limited resources on managing AR and AP in order to be more profitable.

The study is the first to investigate the relative importance of WCM and its components to SMEs profitability and use both regression analysis and questionnaire survey.