Revising the Harris-Todaro framework to model labour migration from the Canadian Northern frontier

The Harris-Todaro model of labour migration was developed almost four decades ago, and since has become a classic method of migration analysis in less developed countries. This paper explores the applicability of the Harris-Todaro (HT) framework outside its traditional use, by modelling frontier-metropolis migration in Canada. If appropriate, the framework can potentially be used in other countries with similar regional dichotomies, such as Russia and Australia. The paper argues that the HT model is generally applicable in the context of migration from the resource frontier to large metropolitan areas of the Canadian south, although it requires several modifications. The classic HT model is extended to account for northern labour-force heterogeneity (Aboriginal and Non-Aboriginal), the possibility of having or losing jobs in the declining and undiversified frontier economy, and living cost differentials. Further analysis is focused on Aboriginal migration from isolated northern communities. The plausibility of the modified HT model is demonstrated using an empirical test, in which the model is used to assess migration probabilities of Aboriginal labour migrants. These new insights into the mechanisms of frontier-metropolis migration could provide a better basis for developing planning strategies, aimed to sustain human capital in the Canadian North, and for optimizing welfare policies both in the North and in the South.     

Some robust design strategies for percentile estimation in binary response models

For the problem of percentile estimation of a quantal response curve, the authors determine multiobjective designs which are robust with respect to misspecifications of the model assumptions. They propose a maximin approach based on efficiencies which leads to designs that are simultaneously efficient with respect to various choices of link functions and parameter regions. Furthermore, the authors deal with the problems of designing model and percentile robust experiments. They give various examples of such designs, which are calculated numerically.     

Uniform coverage designs for mixture experiments

We investigate an optimization problem for mixture experiments. We consider the case when a large number of ingredients are available but mixtures can contain only a few number of ingredients. These conditions are held in experiments for self assembling molecular systems. First, we introduce a concept of uniform coverage design specialized for the situation. Next, we propose to use the stepwise technique for estimating coefficients of third-order Scheffe model which describes a response surface. After that, we propose a method of adding new mixtures for a movement to an extremum region. By this method, additional mixtures of experiments are extremum points of current estimated model and points which lead to more accurate estimation of current model prediction. This methodology is studied numerically for a model constructed from real data.     

The guaranteed estimation of the Lipschitz classifier accuracy: Confidence set approach

This paper introduces an original method for the guaranteed estimation of the Lipschitz classifier accuracy in the case of a large number of classes. The solution was obtained as a finite closed set of alternative hypotheses, which contains an object of classification with probability of not less than the specified value. Thus, the classification is represented by a set of hypothetical classes. In this case, the smaller the cardinality of the discrete set of hypothetical classes is, the higher is the classification accuracy. This problem is relevant in practical biometrics, when the number of analyzed samples amounts to tens of thousands, and many of them are distinguished vaguely in the primary feature space.     

Digital platforms and the changing freelance workforce in the Russian Federation: A ten-year perspective

This article traces the development of the online labour market in the Russian Federation and across the wider post-Soviet space. The authors draw on the unique data of four waves of an online survey for 2009, 2011, 2014 and 2019 on the leading Russian-speaking general-purpose platform for creative and knowledge-based work. The results shed light on key trends, such as spatial decentralization, occupational diversification, feminization, maturing, rising educational attainment and educational mismatch, the consolidation of freelance careers, platformization and legalization. The article discusses these findings and their potential policy implications for the future development of online platform work in the Russian Federation.     

Optimal designs for estimating the slope of a regression

In the common linear model with quantitative predictors we consider the problem of designing experiments for estimating the slope of the expected response in a regression. We discuss locally optimal designs, where the experimenter is only interested in the slope at a particular point, and standardized minimax optimal designs, which could be used if precise estimation of the slope over a given region is required. General results on the number of support points of locally optimal designs are derived if the regression functions form a Chebyshev system. For polynomial regression and Fourier regression models of arbitrary degree the optimal designs for estimating the slope of the regression are determined explicitly for many cases of practical interest.     

Analysis of the determinants of fertility decline in the Czech Republic

In this paper, we analyze the decline in the total fertility rate (TFR) in the Czech Republic during the economic transition. To identify transition-specific features of this decline, we estimate a Heckman–Walker multistate model of the birth process using data from the 1998 Family and Fertility Survey. We find that the negative effect of transition on TFR is mostly driven by a sharply increased influence of higher education, limited ability to combine employment with childbearing and lack of adequate childcare facilities. We also detect a significant role of the increased use of contraception, motivated by both economic and demographic reasons.     

On statistical transform methods and their efficiency

General conditions for the asymptotic efficiency of certain new inference procedures based on empirical transform functions are developed. A number of important processes, such as the empirical characteristic function, the empirical moment generating function, and the empirical moments, are considered as special cases.     

Pathways to Satisfaction with Work-Life Balance: The Case of Russian-Language Internet Freelancers

In this paper we examine satisfaction with work-life balance among non-standard workers. Using unique data from 6,009 Russian-language internet freelancers, who are typically both autonomous contractors and teleworkers, we make two key contributions. We found evidence to support the demand-resource model among self-employed professionals who typically have autonomy and control over their time, although these processes differ somewhat by gender. We also argue that overall life satisfaction is a significant influence on satisfaction with work-life balance and also acts as a mediator for the influence of some demands and resources on both male and female freelancers’ satisfaction with work-life balance. Implications for future research and social policy are discussed.