A fuzzy bi-level method for modeling age-specific migration

Modeling and forecasting international migration are significant research areas since migration forecasts are vital in decision making and policy design regarding economy, security, society, and resource allocation. The methods for modeling and forecasting migration rely on strict subjective or statistical assumptions which may not always be met. In addition, lack of a universally accepted definition of the term “migrant” and the ambiguities in data due to recording and collection systems result in inconsistencies and vagueness in migration modeling. Considering these, in this paper, a fuzzy bi-level age-specific migration modeling method is proposed. The bi-level structure embedded in the model makes use of the well-known Lee-Carter method as well as fuzzy regression, singular value decomposition technique, and hierarchical clustering to reflect the general characteristics of the country of concern together with the distinct emigration and immigration behaviors of the age groups. Bayesian time series models are fitted to the time-variant fuzzy parameters obtained through the proposed method to forecast future migration values. The proposed method is applied on female and male age-specific emigration and immigration counts of Finland for 1990–2010 period and Germany for 1995–2012 period, and the future values are forecasted for 2011–2025 and 2013–2025 respectively. The method is compared with an existing Bayesian approach and the numerical findings display that the proposed fuzzy method is superior to the existing one in modeling and forecasting age-specific migration values within significantly narrower prediction intervals.     

Nested logit model and maximum quasi-likelihood method: a flexible methodology for analyzing interregional migration patterns

"A flexible methodology for explaining interregional migration in terms of relevant socioeconomic variables is set forth in this paper. Concerned with setting observation against theory, it makes use of (1) the nested logit model as a theoretical substratum, and (2) the maximum quasi-likelihood method as a method for parameter estimation and statistical inference. Application to interprovincial migration data over a 22-year period (1961-1962 to 1982-1983) shows that, in Canada, migration does not appear to serve well as an equalizer of economic opportunities."     

Creditworthiness evaluation of Italian SMEs at the beginning of the 2007–2008 crisis: An MCDA approach

In this paper we use a Multi-Criteria Decision Analysis (MCDA) approach in order to evaluate the creditworthiness of about 40,000 Italian Small and Medium-sized Enterprises (SMEs) viewed as potential applicants for bank loans in the three-year period 2006–2008, a timespan embracing the beginning phase of the recent economic and financial crisis. This approach is able to consider simultaneously different factors affecting the firms’ solvency level. The results obtained in terms of classification into homogeneous rating classes, scoring and migration probabilities show that the proposed approach is able to unveil early signal of recession in the Italian SMEs sector. Furthermore, some comparisons between our approach and a couple of known methodologies for creditworthiness assessment show the goodness of our method.     

Decomposing Input–Output Tables to Establish the Effects of Temporal Changes in Demographic and Economic Characteristics

This paper reports on an analysis of economic and demographic changes in the UK during the period 1981–91, using an extended input–output (IO) formulation designed to measure impacts of such changes in economic and demographic systems. We derive a simple temporal change decomposition method and apply it to the extended IO formulation. This is then linked to a labour market account decomposition, and the conjoint decomposition applied to two labour market accounts and two IO tables for the UK. We are able to identify the impacts on the demographic and economic systems caused by changes in the economy, economic activity of the population, natural population change, migration and coefficient shifts of different types.     

Raising the Bar (3)

This editorial summarizes and comments on the papers published in issue 11(3) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper proposes spatial and a-spatial indicators to describe the networks of airline companies around the world. The second paper sets forth a two-regime gravity-type model with an endogenous threshold parameter to assess the effect of labour market conditions on interregional migration flows. The third paper utilizes micro-data to explain student migration flows to higher education institutions. The fourth paper is among the first to make use of simulation-based location quotients in a multiregional input–output model. Finally, the last paper provides a purely economic–theoretical model on cooperative limit pricing in the context of spatial competition.     

Cross-national tests of a third world development-migration paradigm: With particular attention to Venezuela

This paper amplifies a conceptual framework relating internal migration and development processes. This is first done by a cross-national comparison of regression parameters from interregional migration studies often different countries. Attention then turns to parallel analyses of interstate migration in Venezuela for three different time periods representing, approximately, 1940–1950, 1950–1960, and 1966–1971. These cross-national and temporal comparisons support the hypothesis that development systematically affects the role of distance separating origins and destinations, and of spatial differentials in urbanization levels, wages, unemployment, and education.     

Venture migration: a quest for a low-hanging fruit?

Venture migration, in addition to firm entry and exit, affects business stock in a region. This study draws on mainstream entrepreneurship and economic geography literatures to explore the factors explaining net venture migration. Using a data-set on 88 Ohio counties during 2000–2006, it suggests that venture migration is largely a quest for a low-hanging fruit. Relocating firms are drawn to areas with higher sales tax rates that give them access to interest-free financing, higher unemployment rates and better-qualified workforce as well as ample arbitrage opportunities. At the same time, innovative opportunities do not attract migrating ventures.     

Dynamic control of rural–urban migration

This study investigates the optimal urbanization control of an underdeveloped economy by specifying a simple dynamic rural–urban model in which the urban sector bears both an intertemporal positive externality and a simultaneous negative externality. The dynamic optimization problem is solved for the political intervention of the central government in an intersectoral population distribution with taxes and subsidies. Our analysis provides the following results: (i) a big-push policy that leads an economy to a higher-income steady state with urbanization is not necessarily desirable if the government cannot borrow money at a sufficiently low interest rate; (ii) in order to sustain an appropriate urbanization speed, urbanization control policy should have a switch: the urban sector should be subsidized in order to accelerate rural–urban migration in early stages of development, and taxed to decelerate and eventually cease the migration in later stages.     

Differences in Opportunities? Wage,Employment and House‐Price Effects on Migration*

Most empirical studies of individual migration choice analyse factors associated with out‐migration from an origin location. In contrast, we model the migration decision within the context of potential destinations, combining British panel data over the period 1992–2008 with other data sources. Contrary to earlier micro studies, we show that differences in house prices levels (but not growth) are important determinants of household migration for homeowners. Unemployed individuals respond to regional differences in expected individual wages, whereas the employed are more sensitive to employment opportunities. Our evidence is consistent with partners of heads of households being tied migrants.     

Neighborhood Quality and Climate as Factors in U.S. Net Migration Patterns, 1974–76

Abstract . Two determinants of net migration into Standard Metropolitan Statistical Areas in 1974–76 are established. First, using objective indices of the quality of neighborhoods (NQL), such as crime rates, earlier research failed to find a significant relation between NQL and migration. Using OLS regressions, we find that variations in perceived NQL have a significant effect on net migration. Our measure of perceived NQL is based on newly available Census survey data. An appendix contains our NQL indices for 57 SMSAs. Second, we find summer humidity, in addition to winter temperature, has a highly significant effect on migration patterns.     

ESTIMATING DIRECTIONAL MIGRATION FLOWS FROM AGE-SPECIFIC NET MIGRATION DATA

This paper focuses on a method for indirectly inferring migration flows in the absence of migration data, using two successive counts of birthplace-specific population stocks . Such stocks have been used in the past to infer patterns of mortality and indeed of net migration. But a workable method for using such population stocks to indirectly estimate directional migration flows still eludes us. Widely observed regularities in the age patterns of outmigration indicate that age-specific propensities of migration are correlated, and this characteristic suggests an estimation method that directs attention to the age-specific relative propensities of two or more flows exhibited in the historically preceding time intervals, and then uses those past measures of relative propensities to disaggregate residually estimated net migration flows into the underlying contributions of inmigration and outmigration. A detailed demonstration of the method, applied to US data, is set out in this paper.     

THE CLIOMETRICS OF INTERNATIONAL MIGRATION: A SURVEY

Abstract This is a survey of some of the key studies in the literature on international migration in history that may be described as cliometric. This literature uses the concepts and approaches of applied economics to investigate a range of historical issues and there are strong parallels with the questions that have been addressed in the literature on contemporary migrations. Here I focus on the period 1850–1940 and chiefly on migration from Europe to the New World. The survey is organized around six themes that include the forces driving migration, over time and across space; the assimilation of migrants and their effects on wages and income distribution in source and destination countries; and the evolution of immigration policy. Although this literature has drawn heavily on the tool kit of applied economists it also provides a wider perspective on many of the issues that concern migration today.     

A dynamic migration theory and its evaluation for concrete systems

This paper presents a theoretical framework for analyzing multiregional migration as a stochastic process. The equation of motion is formulated as a master equation. A quasi-deterministic mean value equation is derived from the master equation. The analysis is focused on the solution of the mean value equation. Finally, it is described how the approach can be applied to empirical migration data in a study of migration processes in Canada for which the migration stress is evaluated. The relation to static random utility is also established. (author's)     

Economic and spatial determinants of interregional migration in Kazakhstan

In this paper we analyze economic and spatial determinants of interregional migration in Kazakhstan using quarterly panel data on region to region migration in 2008–2010. The main contribution of the paper relates to the ethnic divide in Kazakhstan, which is the home of a big ethnic Russian community, adding to the scarce literature on ethnic differences in migration patterns. Against this background we investigate whether the determinants of interregional mobility depend on ethnicity. In line with traditional economic theory we find that migration is determined by economic factors, first of all wage. As predicted by gravity arguments, mobility is larger between more populated regions and distance has a strong negative impact on migration, indicating high migration-related costs. Most likely caused by stronger family ties and kinship bonds, the deterring effect of distance is higher for ethnic Kazakhs.     

Interregional Migration and Thresholds: Evidence from Spain

We analyse the effects of labour market factors on interregional migration in Spain for the period 1988–2010. A basic theoretical framework is developed, suggesting that the effect of labour market variables on migration varies, depending on a certain threshold. The model implications are tested using a new approach based on the presence of endogenous thresholds. We show that Spanish interregional migration can be explained by labour market variables when the labour market conditions at the source region are unfavourable relative to those of the host region. We test the results for several migrant characteristics, such as citizenship, the age range, and return migration.

Migration inter-régionale et seuils - résultats de la recherche en Espagne     

Occupational change,employer change,internal migration,and earnings

"In this paper I use microdata from the [U.S.] Panel Study of Income Dynamics to measure the financial returns to intercounty and interstate migration for individuals in a temporal framework accounting for gains that accrue over time....To account for the indirect effects of migration on earnings, explanatory variables are created by interacting migration status with: (1) occupational change, (2) employer change and (3) changes in both occupation and employer. These interaction terms are then included in the earnings functions. Earnings are estimated for three years subsequent to the migration decision to account for the financial returns to migration accruing over time. Results indicate that, when estimating earnings, the use of a simple migration dummy variable will mask the indirect effects of migration on earnings."     

INTERNATIONAL MIGRATION: A CASE AGAINST BUILDING EVER‐HIGHER FENCES

International migration, seen as a powerful force of truly global character that is shaping today's socio‐economic reality, is a highly controversial and politicised issue. This paper explores its ramifications in the context of a growing backlash against immigration across the rich world. Specifically, it argues that the free flow of people – like the free movement of goods and capital – is beneficial to developed and developing economies alike and, in doing so, shows how migration produces win–win outcomes. Thus the study, while admitting that inflows of foreign‐born workers pose challenges and entail trade‐offs, makes a case for the liberalisation of immigration policies. The paper deepens our understanding of the issues at hand and constitutes a voice in favour of liberal‐policy choices.     

The paradox of China's growing under-urbanization

It is commonly believed that China began the socialist era as a very under-urbanized country relative to its level of development and that it has been eliminating this urbanization gap during the post-1978 period as a result of its economic reforms. Our reexamination of the relationship between per capita income and urbanization that underpins the conventional view suggests that China was not under-urbanized before or during the early period of the reform. Actually, China's urbanization gap appeared and grew in the late period of reform despite mass migration from rural to urban areas. This growing urbanization lag is mainly due to the slow pace in eliminating restrictions on rural–urban migration during a period of rapid economic growth. We call attention to this emerging urbanization lag as it entails significant economic costs in employment and retards economic growth.     

Measuring the value of community

This paper presents a method for obtaining quantitative measures of the value of a community environment in terms of the change in income which would equalize utility across locations. It is applied in a longitudinal study of factory workers. The evaluations of community are presented both as changes in weekly wage income and as the present discounted value of the changes over the subject's future work life. The evaluations are substantially greater than the tangible costs of migration (e.g., moving expenses). Results are examined by race, sex, age, income, and homeownership. Analysis of the end-period data on the actual migration trends of the sample support the reliability of the measures.     

A NOTE ON THE GRAS METHOD

The GRAS method as presented by Junius and Oosterhaven [Junius, T. and J. Oosterhaven (2003) The Solution of Updating or Regionalizing a Matrix with Both Positive and Negative Elements. Economic Systems Research, 15, 87–96] assumes that every row and every column of a matrix to be balanced has at least one positive element. This might not necessarily be true in practice, in particular, when dealing with large-scale input–ouput tables, supply and use tables, social accounting matrices, or, for that matter, any other matrix. In this short note we relax this assumption and make available our MATLAB program for anyone interested in matrix GRASing. The same issue arises in the presentations of the KRAS method [Lenzen, M., B. Gallego and R. Wood (2009) Matrix Balancing Under Conflicting Information. Economic Systems Research, 21, 23–44] and the SUT–RAS method [Temurshoev, U. and M.P. Timmer (2011) Joint Estimation of Supply and Use Tables. Papers in Regional Science, 90, 863–882], which should be accordingly accounted for in their empirical applications.