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THE general theorems given in Sections 4 and 6 include, from the fundamental point of view, all that is required for the analysis of redundant structures. However, to facilitate practical calculations it is helpful to develop more explicit methods and formulae. To find these is the purpose of this Section.

The different types of estimators of rational expectations models are surveyed. A key feature is that the model′s solution has to be taken into account when it is estimated. The two ways of doing this, the substitution and errors‐in‐variables methods, give rise to different estimators. In the former case, a generalised least‐squares or maximum‐likelihood type estimator generally gives consistent and efficient estimates. In the latter case, a generalised instrumental variable (GIV) type estimator is needed. Because the substitution method involves more complicated restrictions and because it resolves the solution indeterminacy in a more arbitary fashion, when there are forward‐looking expectations, the errors‐in‐variables solution with the GIV estimator is the recommended combination.

This paper aims to examine the effectiveness of monetary policy on bank loans in Egypt using generalized method of moments (GMM) model. Also, it investigates the impact of bank level variables, namely, total assets, liquidity, capital and income on bank loans. It develops the equation of loans, which is introduced by Ehrmann et al. (2002) using bank level variables such as income and the interaction between income and interest rate.

This paper examines the impact of monetary policy shocks on bank loans in Egypt by applying the GMM technique and panel data from 1996 to 2014.

The results reveal that real interest rate has a significant impact on bank loans, which indicates that the bank lending channel is effective in Egypt. Furthermore, the bank level variables, namely, banks’ size, liquidity and income have significant effects on bank loans in Egypt, which sustains the heterogeneous effect of monetary policy on bank loans. Therefore, the Central Bank of Egypt (CBE) can adjust interest rate to influence the bank loans and total demand.

It does not examine the effect of monetary policy on small and large banks in Egypt.

The policy implications from this paper indicate that the monetary authority in Egypt should adjust interest rate to stabilize the bank loan supply. By stabilizing the bank loans, the monetary authority is able to stabilize investment, consumption and total demand.

The relevance of bank lending channel indicates that the role of commercial banks is very important in transmitting monetary policy shocks to the real sector.

It is important for the CBE, banks and people because it shows the effectiveness of bank lending channel and the effect of global financial crisis on the Egyptian economy.

This study aims to examine the effects of institutions on private investment (PI) using panel data analysis, where the sample countries consist of 100 countries around the world and the time period is covering from 2007 to 2016. The system generalized method of moments (GMM) estimator, introduced by Arellano and Bond (1991) and further developed by Blundell and Bond (1998) is used to analyze the data sets.

This study uses the panel data approach to estimate the empirical model due to the panel nature of the data. In particular, due to the presence of lagged dependent variables and the ability to capture individual country-specific effects, the system GMM estimator, introduced by Arellano and Bond (1991) and further developed by Blundell and Bond (1998), is adopted to analyze the roles of institutions in PI. The system GMM is developed specifically to solve the problems of weak instruments and persistency (Blundell and Bond, 1998). Jointly, they suggest to adopt additional moment conditions where lagged difference of the dependent variable is orthogonal to the level form of the disturbances. The system GMM estimator is able to combine the moment conditions for the different models, as well as the level model, thereby (is capable of) generate consistent and efficient parameters. Due to the dynamic nature of the data, this study uses one-step and two-step system GMM to investigate the roles of institutions in PI.

The empirical results based on the two-step system GMM demonstrate that the quality of institutions plays an important role in stimulating PI. The finding is reinforced by the analysis of the institutional sub-components’ effects on PI.

This study is unique as its measurement of institutions is multi-dimensional (including law and order, rules and regulation, government stability, bureaucratic quality, control of corruption, socio-economic condition, etc.), and hence are more comprehensive. Second, it is different than the previous studies as its sample of countries includes both democracies and non-democracies, as well as both developed and non-developed economies in which policy implications are widely acceptable. Third, this study contributes to the policymakers especially those in the debt-ridden economies where governments are budget-tightening (limited capacity for public investment), as to which practical direction should be focused on so as to attract PI and eventually sustainable growth can take place.

The purpose of this paper is to examine the relationship between IC disclosure and the corporate market value (CMV) of listed firms on the main board of Nigeria Stock Exchange and to test the moderating effect of religious and ethnic composition of board members on the relationship.

This study applies the signaling and upper echelons theories in formulating four hypotheses that guide the results analysis. By employing a two-step dynamic system generalized method of moments and controlling for the possible endogeneity effect on the parameters estimated for a sample of 91 listed firms on main board of Nigeria Stock Exchange, this study investigates the association of IC disclosure with CMV, namely, cost of capital and market capitalization, and the moderating role of religious and ethnic composition on such association using data over the 2010 to 2014 financial years.

The results show a significant positive relationship between overall IC disclosure and market capitalization and a negative impact on cost of capital, which are in line with the hypothesized propositions. The moderating effect of board diversity is also confirmed. This study contributes to recent evidence concerning the value relevance of IC information to investors and other interested stakeholders and the established moderating role of board diversity in IC disclosure-related studies.

The regulators may consider development of standards on board composition about religious and ethnic composition in order to curb the domination from same group in the board room. Those charged with governance should be concerned with the disclosure of IC information in the financial statements as it has value relevance to the investors, in line with signaling theory.

The ethnic and religious composition of board members is a significant factor within the board room and needs to be given adequate consideration.

This study is the first to consider IC disclosure across whole sectors in the Nigerian economy and looks upon ethnicity and religious affiliation of boards as moderating variables. The study controls for heteroscedasticity and endogeneity issues by adopting two-step dynamic system generalized method of moments.

Information and communication technology (ICT) is a general-purpose technology, which plays an important role in improving the efficiency of a business firm. Nowadays, investment on ICT has become necessary for every business firm in different sectors of the economy. However, firms need to be very cautious while investing on a particular ICT, which is suitable for their businesses. Thus, it becomes necessary for the firm to understand its internal organizational characteristics to invest better on ICT. Therefore, the objective of the present study is to understand the organizational factors, which influence investment on ICT at the firm level.

The technology–organization–environment (TOE) framework is adopted to understand the organizational factors which influence a firm's ICT investment. The sample for the study is the firms belonging to bakery and sugar confectionery sector, which is one of the important sub-sectors of processed food industry in India. The data for analysis is extracted from a secondary source, namely the Prowess Database. The study uses two-step system GMM, a method of generalized method of moment (GMM), to identify the organizational determinants of ICT investment at the firm level.

The study finds that previous-year investment on ICT has a significant impact on firms' present-year investment on ICT. The result of the econometric method also shows that firms which are larger, labour-intensive and highly liquidated are the ones investing more on ICT in the present study.

As mentioned, the study examines the ICT investment determinants of firms belonging to one of the important sub-sectors of processed food industry of the Indian economy. However, the result of the study is not to be generalized since it is related only to a specific industry. Further, the data used in the study is limited by secondary sources and therefore, requires data from primary sources for in-depth investigation of ICT investment determinants at the firm level.

This paper bridges a research gap by examining the determinants of ICT investment of one of the important industry sectors in particular to developing countries. The paper contributes to the growing research on information technology adoption by using factors within the TOE framework to explain a processed food firm's investment on ICT.

Gives introductory remarks about chapter 1 of this group of 31 papers, from ISEF 1999 Proceedings, in the methodologies for field analysis, in the electromagnetic community. Observes that computer package implementation theory contributes to clarification. Discusses the areas covered by some of the papers ‐ such as artificial intelligence using fuzzy logic. Includes applications such as permanent magnets and looks at eddy current problems. States the finite element method is currently the most popular method used for field computation. Closes by pointing out the amalgam of topics.

This study aims to examine the effect of foreign direct investment (FDI) inflows on tax revenue in 34 developed and developing countries from 2006 to 2020.

Feasible generalised least squares (FGLS), a dynamic panel of a two-step system generalised method of moments (GMM) system and a pool mean group (PMG) panel autoregressive distributed lag (ARDL) approach were used to compare the developed and developing countries. Basic estimators were used as pre-estimators and diagnostic tests were used to increase robustness.

The FGLS, a two-step system of GMM, PMG–ARDL estimator’s results showed that there was a significant negative long and positive short-term in most countries relationship between FDI inflows and tax revenue in developed countries. This study concluded that attracting investments can improve the quality of institutions despite high tax rates, leading to low tax revenue. Meanwhile, there was a significant positive long and negative short-term relationship between FDI inflows and tax revenue in the developing countries. The developing countries sought to attract FDI that could be used to create job opportunities and transfer technology to simultaneously develop infrastructure and impose a tax policy that would achieve high tax revenue.

The present study sheds light on the effect of FDI on tax revenue and compares developed and developing countries through the design and implementation of policies to create jobs, transfer technology and attain economic growth in order to assure foreign investors that they would gain continuous high profits from their investments.

This study aims to capture the “persistence effect” of credit risk in Indian banking industry using the bank-level data spanning over the period of 19 years from 1998/1999 to 2016/17. Alongside, the study explored how the bank-specific, industry-specific, macroeconomic variables alongside regulatory reforms, ownership changes and financial crisis affect the bank's asset quality in India.

Using two-step system generalized method of moment (GMM) approach, the study derives key factors that affect the bank's asset quality in India.

The empirical results confirm the time persistence of credit risk among Indian banks during study period. This reflects that bank defaults are expected to increase in the current year, if it had increased past year due to time lag involved in the process of recovery of past dues. Further, higher profitability, better managerial efficiency, more diversified income from nontraditional activities, optimal size of banks, proper credit screening and monitoring and adherence regulatory norms would help in improving the credit quality of Indian banks.

The practical implication drawn from the study is that nonaccumulation of nonperforming loans (NPLs), higher profitability, better managerial efficiency, more diversified income from nontraditional activities, optimal size of banks, proper credit screening and monitoring and adherence regulatory norms would help in improving the credit quality of Indian banks.

This study is probably the first one that identifies in addition to the current year, whether lag of bank industry-macroeconomic affects the level of NPLs of Indian banks. So far, such an analysis has received less attention with respect to Indian banking industry, especially immediate aftermath of the global financial crisis.

HAVING discussed in the standard longhand notation the main ideas and methods for the calculation of redundant structures on the basis of forces as unknowns we now turn our attention to the matrix formulation of the analysis. Consider a system consisting of s structural elements with a total number n of redundancies which may be forces (stresses), moments or any generalized forces. We select a basic system by ‘cutting’ a number r of redundancies where r<n. Thus, the simple idea of a statically determinate basic system (r=n) is but a particular case of our investigations.