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The purpose of this paper is to extend the methodology proposed in Majumder et al. (2012) for the estimation of the item-specific purchasing power parities (PPPs) within countries, to the cross-country context. It estimates item-specific intra-country PPPs (i.e. spatial prices) and inter-country PPPs in a unified framework using unit records of household food expenditures from three Asian countries: India, Indonesia and Vietnam, covering contemporaneous time periods. The study addresses a key limitation of the International Comparison Program (ICP) exercise, namely, that it treats all countries, large and small, as homogeneous entities. Moreover, it directly calculates bilateral PPPs between countries based on their expenditure patterns and prices alone and directly estimates the price-level indices (PLI) and their standard errors, allowing formal tests of the hypothesis of PLI being unity. The usefulness of the estimated PPPs is illustrated by applying them to comparisons of real food expenditures between the three countries, and benchmarking the comparisons with those using the ICP PPPs.

The methodology is based on the fact that a spatial price index can be viewed as a true cost of living index (TCLI). Using a general cost function underlying the Rank 3 quadratic logarithmic systems, the TCLI is calculated for a reference utility level.

The study provides formal statistical tests of the hypothesis of item invariance of the PPPs. The usefulness of the proposed methodology is illustrated by applying the estimated PPPs in comparisons of food expenditures between subgroups in the three countries. The sensitivity of the expenditure comparisons to the use of item-wise PPPs underlines the need to provide price information on highly disaggregated PPPs to a much greater extent than the ICP has done to date.

The choice of these three Asian countries was dictated by the fact that, though comparability of items between them remains an issue as with all cross-country comparisons. Also, in the absence of price data, this study followed the practice in Majumder et al. (2012, 2015a, 2015b) in using as proxies the raw unit values of the food items, but adjusted for quality and demographic factors using the procedure introduced by Cox and Wohlgenant (1986) and extended by Hoang (2009).

It addresses some limitations of the ICP, namely, ICP treats all countries as single entities with the purchasing power of the country’s currency assumed to be the same in all regions within the country, ICP uses the US dollar as the numeraire (this ignores the fact that the PPPs required in bilateral welfare comparisons between developing countries with vastly different consumption habits from the “international norm” are quite different from the ICP PPPs) and ICP uses distribution invariant prices to calculate PPPs, which overlooks the fact that the poor pay different prices from the “representative” individual.

This study highlights the importance of estimating and using item-specific PPPs in cross-country comparisons by formally testing and rejecting the assumption of item invariant PPPs and by providing empirical evidence that they do make a difference to the welfare comparisons between countries. This study provides PPPs based on food items only, which may be more relevant for poverty comparisons.

It introduces, for the first time, the concept of item-specific PPPs between countries as estimable parameters and operationalizes this concept by using them in cross-country welfare comparisons.

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.

The theoretical base for cost‐of‐living comparisons between geographical areas is examined and developed. The interpretation of bilateral comparisons is discussed within a framework of a matrix of cost‐of‐living comparisons with all countries being listed in both columns and rows. The use of multilateral comparisons is questioned.

Notes that more than 20 years of cross‐cultural comparative research results have suggested that advertising content varies between countries which are culturally dissimilar. Tests the proposition that paired comparisons of countries will yield statistically significant differences for most country pairs. Reports that of the 55 country pairs used in this study, 100 per cent of the pairs resulted in statistically significant differences on at least nine of the 29 values examined and that subsequent analysis found that insignificant results can largely be attributed to cultural similarity. Points out, however, that even when countries are culturally similar, statistically significant results may still be found. Suggests that research which tests for between‐country differences may not be insightful without theoretical support for the comparisons.

Various indicators of income inequality and social welfare can be obtained simply by using the Gini index and the mean income of the population. This paper reviews existing indicators and presents several new indicators of this kind. While contemporary researchers seem to be preoccupied with relative inequality, this paper advocates for using intermediate inequality views and supplementing inequality rankings of countries with rankings based on social welfare. Empirical analysis, performed for 36 European countries, demonstrates such an approach’s advantages.

The purpose of this paper is to compare construction costs between nations, which is an important part of international economic statistics. Methods employed for these comparisons to date have yielded questionable results. The paper presents a summary of the problem and the results of proof‐of‐concept testing for a new method.

Prices were estimated for a simple basket of two construction components using cost‐estimating guides for several nations. Both developed and developing nations were included. The prices were obtained for the components installed in the field, including labor, equipment, and materials. Purchasing power parities (PPPs) were calculated from the baskets.

The results indicate that the basket of construction components approach provides construction sector results much more in keeping with the overall consumption PPPs for the countries tested. This result suggests that the values obtained from this method provide a reasonable measure of construction price differentials. The method also requires substantially fewer resources than previous project‐based approaches.

Because the construction sector represents a significant fraction of global economic activity, it is important to incorporate this sector into the overall process accurately. The construction sector is difficult to compare, but ironically is often a large share of economic activity in developing countries, where comparison is most important. This paper presents a potential solution to a vexing problem in construction econometrics.

This chapter discusses the main challenges in higher education comparative research, focusing on cross-national forms of comparison and presenting examples from European research. The first part stresses the importance of constructing concepts which can travel across countries. This part identifies the different vertical levels of comparison involved in higher education cross-national research, discussing how the need for exploring general patterns in higher education (e.g. globalisation and Europeanisation) is confronted with the importance of taking into account the diversity within the particular cases (e.g. institutional and individual experiences). The second part focuses on the equivalence of meaning in large-N (in particular, the Eurostudent and REFLEX datasets) and small-N studies, identifying the respective limits of the two forms of comparison. The chapter contends that comparative research in higher education could benefit from more collaboration between small-N qualitative comparativists and experts of large-N studies used in European policy-making.

Economic globalization is leading large companies to focus on international strategic management. Nowadays, the assets referred to as “corporate intangibles,” such as corporate reputation, are becoming increasingly important because they are considered a key factor for the viability of an organization, and companies therefore need to incorporate them into their scorecards for management. The problem is that their measurement is subjective and latent. These two characteristics impede direct international comparison and require demonstrating the accuracy of comparison via a minimum of two tests – construct equivalence and metric equivalence. As regards corporate reputation, construct equivalence was verified by Naomi Gardberg (2006). However, the subsequent studies did not address metric equivalence. Based on the results of a survey provided by the Reputation Institute (n = 5,950, 50 firms evaluated in 17 countries in the Americas, Europe, Asia and Australia), the degree of RepTrak metric equivalence has been tested, using two different methodologies, multigroup analysis (structural equation model), and a new technique from 2016, the Measurement Invariance of Composite Model procedure from the Partial Least Square Path Modeling family. As one would expect from other cross-cultural studies, reputation metrics do not meet the full metric equivalence, which is why they require standardization processes to ensure international comparability. Both methodologies have identified the same correction parameters, which have allowed validation of the mean and variance of response style by country.