The merger of populations, the incidence of marriages, and aggregate unhappiness

Let a society??s unhappiness be measured by the aggregate of the levels of relative deprivation of its members. When two societies of equal size, F and M, merge, unhappiness in the merged society is shown to be higher than the sum of the levels of unhappiness in the constituent societies when apart; merger alone increases unhappiness. But when societies F and M merge and marriages are formed such that the number of households in the merged society is equal to the number of individuals in one of the constituent societies, unhappiness in the merged society is shown to be lower than the aggregate unhappiness in the two constituent societies when apart. This result obtains regardless of which individuals from one society form households with which individuals from the other, and even when the marriages have not (or not yet) led to income gains to the married couples from increased efficiency, scale economies, and the like. While there are various psychological reasons for people to become happier when they get married as opposed to staying single, the very formation of households reduces social distress even before any other happiness-generating factors kick in.     

The evolution of consumer preferences in Poland

This note investigates a change of consumer preferences in Poland in the period of 1996–2016. I use the Euler equation–generalized method of moments (GMM) to estimate the structural parameters of the aggregate consumption function to show that consumers in Poland significantly change their attitude to risk during the global financial crisis, when the estimate of the risk-aversion parameter becomes very high, while otherwise close to zero suggesting near risk neutrality. Also, the subjective trade-off between consumption today and tomorrow undergoes an evolution towards lower ‘impatience’. Over-identifying restrictions are tested and the null hypothesis of validity of instruments is not rejected. The stability over time of the estimated parameters is tested and rejected. The evolution of preferences is shown through recursive estimates of the deep parameters, too.     

Strategic Interaction amongst Australia's East Coast Ports

Australia's principal container ports, located in its state capitals, are owned and operated by state authorities that largely return profits from port operations to state governments. Since they govern the volumes of trade in most merchandise, they command immense influence over the openness and flexibility of the national economy. In this study, we estimate the elasticities of substitution between container services of ports in Brisbane, Sydney and Melbourne. We also examine the pricing of port services to estimate the extent of their interaction, from which we derive conjectural variations parameters to assess the actual and potential levels of price collusion. The results confirm the conventional wisdom that the degree of substitution between the major east coast ports is small. While this highlights the possibility that these ports possess substantial market power, actual mark ups are considerably smaller than the predicted mark ups, suggesting that the ports' localised monopoly power is constrained by factors other than price competition.     

Nonlinear Granger Causality: Guidelines for Multivariate Analysis

We propose an extension of the bivariate nonparametric Diks–Panchenko Granger non‐causality test to multivariate settings. We first show that the asymptotic theory for the bivariate test fails to apply to the multivariate case, because the kernel density estimator bias and variance cannot both tend to zero at a sufficiently fast rate. To overcome this difficulty we propose to reduce the order of the bias by applying data sharpening prior to calculating the test statistic. We derive the asymptotic properties of the ‘sharpened’ test statistic and investigate its performance numerically. We conclude with an empirical application to the US grain market, using the price of futures on heating degree days as an additional conditioning variable. Copyright © 2015 John Wiley & Sons, Ltd.     

Wealth inequality in Central and Eastern Europe: Evidence from household survey and rich lists’ data combined*

We study how the problem of the ‘missing rich’, the underrepresentation of the wealthiest in household surveys, affects wealth inequality estimates for the post‐socialist countries of Central and Eastern Europe (CEE). The survey data from the second wave of the Household Finance and Consumption Survey (HFCS) are joined with the data from the national rich lists for Estonia, Hungary, Latvia, Poland and Slovakia. Pareto distribution is fitted to the joined survey and rich lists’ data to impute the missing observations for the largest wealth values. We provide the first estimates of the top‐corrected wealth inequality for the CEE region in 2013/2014. Despite a short period of wealth accumulation during the post‐1989 market economy period, our adjustment procedure reveals that wealth inequality in the Baltic countries is comparable to that of Germany (one of the most wealth‐unequal countries in Europe), while in Poland and Hungary it has reached levels observed in France or Spain. We discuss possible explanations of these findings with reference to the speed and range of privatization processes, extent of income inequality, and the role of inheritances and wealth taxes in the region.     

Stratification of Skewed Populations: A Comparison of Optimisation‐based versus Approximate Methods

Survey statisticians use either approximate or optimisation‐based methods to stratify finite populations. Examples of the former are the cumrootf (Dalenius & Hodges, 1957 ) and geometric (Gunning & Horgan, 2004 ) methods, while examples of the latter are Sethi ( 1963 ) and Kozak ( 2004 ) algorithms. The approximate procedures result in inflexible stratum boundaries; this lack of flexibility results in non‐optimal boundaries. On the other hand, optimisation‐based methods provide stratum boundaries that can simultaneously account for (i) a chosen allocation scheme, (ii) overall sample size or required reliability of the estimator of a studied parameter and (iii) presence or absence of a take‐all stratum. Given these additional conditions, optimisation‐based methods will result in optimal boundaries. The only disadvantage of these methods is their complexity. However, in the second decade of 21st century, this complexity does not actually pose a problem. We illustrate how these two groups of methods differ by comparing their efficiency for two artificial populations and a real population. Our final point is that statistical offices should prefer optimisation‐based over approximate stratification methods; such a decision will help them either save much public money or, if funds are already allocated to a survey, result in more precise estimates of national statistics.     

Entrepreneurship and innovativeness of small and medium-sized construction enterprises

The construction industry is a key industry in any economy. Due to its specific characteristics, the industry is of substantial importance to the development of other sectors. Competition is highly intense, and the industry itself is susceptible to changes in market circumstances that force the entities operating in it to continuously take actions to enhance their competitiveness by, among other things, introducing innovative solutions. The objective of the present study is to evaluate the level of innovativeness of enterprises in the small and medium-sized (SME) sector in the Polish construction industry and to identify the factors that influence this level of innovativeness, which relates to the location of the business and managers’ awareness of the significance of innovation in shaping a firm’s competitiveness. Qualitative research was conducted on a sample of 608 companies. The obtained results demonstrate that construction companies from the SME sector in Poland are characterized by a level of innovativeness that is similar to that found in other enterprises, which is a consequence of the relatively high awareness of the significance of innovation to obtaining a competitive position among the managers of these companies. An analysis of the innovative activities of these companies by location shows, in turn, that entities operating in regions that are less economically developed and less attractive in terms of investment are more innovative.