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The purpose of this paper is to investigate the effects of cross-country characteristics on acquirers' target status choice in cross-border mergers and acquisitions across 41 emerging markets.

The paper first reviews the existing literature and develops the related hypotheses, in conjunction with the objectives of this paper. We then describe the data employed, variable measurement and examine the effects of cross-country characteristics on the acquirers' target status choice in cross-border mergers and acquisitions while controlling for firm-level and deal-specific characteristics. The paper continues to conduct the robustness check on cross-country determinants of target status choices using the difference independent variables rather than target country-level variables only.

This research found that the likelihood of a public firm acquired relative to private one is higher if the target firm is located in countries with stronger government quality, weaker economic freedom, better financial market development and lower cultural distance between the host and home countries. The results suggest that bidders actively assess cross-country characteristics as part of their acquisition planning.

Rather than commonly analysed determinants in the previous research such as firm- and deal-specific attributes, value creation and shareholder protection, this paper indicates that institutional environments and economic conditions are closely associated with acquisition risks and benefits and have direct influences on bidder firms' acquisition bidding planning and target choice decision-making.

Anchoring vignettes have become a popular method to adjust self-assessed data for systematic differences in reporting behaviour to aid comparability, for example, of cross-country analyses. The method relies on the two fundamental assumptions of response consistency and vignette equivalence. Evidence on the validity of these assumptions is equivocal. This chapter considers the utility of the vignette approach by considering how successful the method is in moving self-assessed reports of health mobility towards objective counterparts. We draw on data from the Survey of Health, Ageing and Retirement in Europe (SHARE) and undertake pairwise country comparisons of cumulative distributions of self-reports, their objective counterparts and vignette adjusted reports. Comparison of distributions is based on tests for stochastic dominance. Multiple cross-country comparisons are undertaken to assess the consistency of results across contexts and settings. Both non-parametric and parametric approaches to vignette adjustment are considered. In general, we find the anchoring vignette methodology poorly reconciles self-reported data with objective counterparts.

We employ various local generalizations of the Solow growth model that model parameter heterogeneity using human development at the beginning of the period with adult literacy rates and life expectancy at birth as a proxy. The model takes the form of a semiparametric varying coefficient model along the lines of Hastie and Tibshirani (1992). The empirical results show substantial parameter heterogeneity in the cross-country growth process, a finding that is consistent with the presence of multiple steady-state equilibria and the emergence of convergence clubs.

Using harmonized wealth data and a novel decomposition approach in this literature, we show that cohort effects exist in the income profiles of asset and debt portfolios for a sample of European countries, the United States, and Canada. We find that the association between household wealth portfolios at the intensive margin (the level of assets) and household characteristics is different from that found at the extensive margin (the decision to own). Characteristics explain most of the cross-country differences in asset and debt levels, except for housing wealth, which displays large unexplained differences for both the under-50 and over-50 populations. However, there are cohort differences in the drivers of wealth levels. We observe that younger households’ levels of wealth, given participation, may be more responsive to the institutional setting than mature households. Our findings have important implications, indicating a scope for policies which can promote or redirect investment in housing for both cohorts and which promote optimal portfolio allocation for mature households.

The purpose of this article is to make a contribution to the existing knowledge by using the unique cross-jurisdiction data drawn from the FCA’s REP-CRIM submissions to explore dynamics behind firms’ perceptions on financial crime. Capturing firm’s sentiment is notoriously challenging, and any relevant regulatory data is usually not available in the public domain. A recent exception is the UK Financial Conduct Authority’s (FCA’s) financial crime data return (REP-CRIM) submissions which include the cross-country regulatory data on the UK financial institutions’ perceptions of jurisdiction risk. Despite a broad literature with respect to financial crime, there exists an important gap in the existing knowledge with respect to factors that are associated with the perceptions of firms with respect to jurisdiction risk, which this article aims to close.

Using cross-country regulatory data on the UK financial institutions’ perceptions of jurisdiction risk, this study empirically determines that perceptions of jurisdiction risk is significantly and positively associated with anti-money laundering and countering the financing of terrorism (AML/CFT) framework, as well as with tax burden on business and institutional and legal risk in the case of 165 jurisdictions.

The findings lend support to the proposition that unsystematic efforts and too much publicity may ascertain the high-risk image of a jurisdiction, deterring cross-border business. Policy implications that emerge from the study also add to the case for strengthening institutional and legal frameworks, as well as relieving the tax burden on doing business.

Findings of the present study should be interpreted with caution, as the dependent variable used in the present study reflects UK firms’ perceptions of jurisdiction risk, which may depend on various factors such as different risk appetites and the countries in which firms carry out business, and not necessarily the actual level of risks based on financial crime statistics. For example, a jurisdiction which may indeed be considered high risk, would not necessarily be ranking high on the FCA’s list of UK firms’ jurisdiction risk perceptions due to few firms operating in that particular country. As a result, the list could differ from the Financial Action Task Force’s black and grey lists. Findings based on the regulatory data on the UK financial institutions’ perceptions of jurisdiction risk should be considered preliminary in nature, given that they are based on a single year cross sectional data. As global and country-level AML/CFT efforts continue to intensify and as more regulatory data becomes publicly available, it would be imperative to bring further empirical evidence to bear on the question of whether financial crime perceptions are likely to be more pronounced for jurisdictions where AML/CFT efforts are more intensified. Likewise, from a policy standpoint, it would be equally important to explore further the role that institutional and legal risk, as well as tax burden on businesses, play in shaping firms’ perceptions of jurisdiction risk.

Findings lend support to the proposition that unsystematic efforts and too much publicity may ascertain the high-risk image of a jurisdiction, deterring cross-border business. Therefore, rather than waiting for more data to be made available by other financial regulators, which could lead to a more conclusive evidence in the future, on balance, the findings of this study add to the case for carefully designing and systematically implementing AML/CFT measures in a less publicized manner. Findings lend support to the theoretical postulation that disorderly efforts and undue publicity regarding AML/CFT efforts serve to ascertain the high-risk image of a jurisdiction, which could deter cross-border business and could be detrimental to how firms undertake due diligence. They also suggest that disorderly implementation of AML/CFT measures may hinder access to formal financial service and jeopardize authorities’ ability to trace the movement of funds, which may also add to negative perceptions of jurisdiction risk.

Findings are in line with the theoretical expectations that perceptions of jurisdiction risk would be expected to be higher in countries with inadequate disclosure rules, lax regulation and opacity jurisdiction. Likewise, results are aligned with the expectations that tax burden on business would be expected to be in a positive relationship with jurisdiction risk, as it would increase the likelihood of tax evasion, which incentivizes financial crime. Therefore, policy implications that emerge from the study also add to the case for strengthening institutional and legal frameworks and relieving the tax burden on doing business as part of efforts to improve the international image of jurisdictions with respect to financial crime risks.

Using the cross-country regulatory data on the UK financial institutions’ perceptions of jurisdiction risk, this study has empirically determined that perceptions of jurisdiction risk is significantly and positively associated with AML/CFT framework, as well as with tax burden on business and institutional and legal risk. These findings have implications from a policy standpoint.

Illicit trade is pervasive in many nations and may be influenced by the level of national IQ. The current interdisciplinary paper aims to study the association between national intelligence and illicit trade across nations.

The illicit trade index scores for 84 countries, developed by the Economics Intelligence Unit, are used to measure the dependent variable. The independent variable is national intelligence, while economic development, unemployment and Hofstede’s cultural dimensions are the control variables. Two-level hierarchical linear models (HLMs) are used to empirically test the above-mentioned association.

The empirical results suggest that the higher the degree of national intelligence, the lower is the degree of illicit trade across nations. In addition, economic development, unemployment and national culture play an important role in explaining cross-country differences in illicit trade.

Regulatory authorities should find the results of this cross-national research useful in evaluating the likelihood of illicit trade from a cognitive perspective, and in implementing reforms to curb this type of economic crimes.

This interdisciplinary study makes novel contributions to the literature on economic and financial crimes. First, for the first time to the best of the authors’ knowledge, an association between national intelligence and illicit trade is examined. A second original contribution of this study compared to earlier research is related to the use of two-level HLMs. Third, the investigation of the association between intelligence and illicit trade takes a new control variable into consideration, i.e. unemployment, a variable which is found to have a significant effect on illicit trade and that has not been used directly in relationship with illicit trade so far.

The purpose of the paper is to investigate whether, and, if so, to what extent, the valuation that nations place on individual personality traits change with economic growth and development.

The paper compares the averages of the cross‐country valuations of eight different personality characteristics for various levels of development, and, in addition, employs cross‐country regression analysis to assess the impact of economic growth on the value placed on these characteristics.

In general, the findings of both the comparative analysis and the cross‐country regression analysis indicate that the valuation counties place on individual personality characteristics change with economic growth and development, and for certain characteristics, rather dramatically.

A major implication of the findings of the paper is that economic growth may not just act in a neutral fashion by merely providing additional material goods, but may have profound effect on future national identity, on the definition of the type of individual that a nation values.

Since economic growth changes the way personality characteristics are valued by a nation, it is possible that the growth process itself can alter the future growth prospects of a nation, because some personality characterizes are apt to be growth fostering, while others are likely to be growth inhibiting.

The paper should be of interest to anyone interested in the changes brought about by growth and development.

Compares labour market transitions of young people in Germany and Italy using panel data from the GSOEP and the SHIW. The aim is to investigate whether there are significant cross‐country differences in the patterns of labour market entrance and whether explanatory factors can be identified. The analysis shows that Germans have a significantly higher probability of moving from school to work and from unemployment to employment. They are also more likely to move back to studies if already in the labour force. Further investigation suggests that cross‐country differences in the educational and labour market systems are responsible for the differences found.

The aim of this paper is to analyse the cross‐country variation in the growth elasticity of poverty across a sample of developing countries during the period from 1990 to 2000.

In order to identify variables that may explain the cross‐country variation in the growth elasticity of poverty, the paper sets up a theoretical framework. Subsequently, the explanatory power of these variables is tested empirically by panel data econometric analysis.

For a sample of 52 low and middle income countries, it is found that the level of initial income inequality, credit available to the private sector, literacy, the extent of business regulations and trade openness are important determinants of the growth elasticity of poverty.

Countries that reduce regulatory burdens, improve literacy, increase access to finance, undertake land reforms (asset redistribution), and provide safety nets while liberalizing trade can create more growth and ensure that it is pro‐poor.

The paper identifies variables (at a cross‐country level) that may guide the conscious policies which create pro‐poor growth.

Penn World Tables (PWT) data on output measured at international prices are the data most frequently used in cross‐country growth regressions. These data are subject to revision, and the amendments can be substantial for a minority of countries, although negligible for most. The purpose of this paper is to investigate the effect of data revisions on research results using the data.

Using Hanushek and Kimko's analysis of the relationship between growth and schooling quality and Sala‐i‐Martin's tests of model selection, the authors investigate how much the results of cross‐country growth regressions vary if the most recent vintage (6.2) of PWT data is used, rather than the previous vintage (6.1).

The variation is substantial enough to imply significant differences in research results using different vintages of the PWT data.

The results reinforce the case for examining the sensitivity of growth regressions to outliers, which may be subject to subsequent data revision that might substantially affect the conclusions.

Previous research has identified significant revisions between successive vintages of PWT growth data, but has implied that this is not likely to affect the results of cross‐country growth regressions based on long‐run averages rather than on annual data. The findings suggest that this is not necessarily the case.