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Influences on the pattern of internal migration in the US, including economic factors, quality-of-life factors and public policy variables have been extensively studied by regional scientists since the early 1970s. Interestingly, a small number of studies also address the effects of economic freedom on migration. The purpose of this paper is to add to the migration literature by examining the impact of labor market freedom on both gross and net state in-migration over the study period 2008–2016.

This study uses dynamic panel data analysis to investigate the impact of labor market freedom on both gross and net state in-migration over the study period 2008–2016.

The panel generalized method of moments analysis reveals that overall labor market freedom exercised a positive and statistically significant impact on both measures of state in-migration over the study period. The study finds a 1 percentage point increase in the overall labor market freedom index results in a 2.8 percent increase in the gross in-migration rate.

The findings imply states interested in attracting migrants and stimulating economic growth should pursue policies consistent with increased labor freedom.

The emphasis in the present study is on the impact of labor market freedom on state-level in-migration patterns, both gross and net, over a contemporary time period that includes both the Great Recession and subsequent recovering.

This research study was started at the University of Oregon, School of Education, in the Spring of 1967. A group of advanced graduate students in school finance under the supervision of the senior author, undertook the study to examine systematically the relationships between and among measures of human resource development, education, manpower utilization and economic growth in the states of the United States. The model for the research was the Harbison and Myers classic study of this important issue among the nations of the world entitled, “Education, Manpower and Economic Growth”. (McGraw‐Hill, 1964.) The research reported touches upon several important fields—economics of education, political science, human resource management and governmental planning. The relationships studied hold important implications for the allocation of scarce human and economic resources to attain state and national social and economic goals.

Having paid work, relationships and a choice of where to live are common policy priorities for adults with intellectual disabilities. The purpose of this paper is to compare outcomes with respect to these three priorities between adults with intellectual disability and the general population in Jersey.

Data were collected from 217 adults with intellectual disability known to services, and 2,350 adults without intellectual disability using a stratified random sample. Data on employment, marital status and accommodation profiles were compared.

In sum, 87 per cent of adults with intellectual disability were currently single vs 16 per cent of adults without intellectual disability; 23 per cent of working-age adults with intellectual disability were in paid employment vs 92 per cent of working-age adults without intellectual disability; and 57 per cent of adults with intellectual disability lived-in sheltered housing vs 2 per cent of adults without intellectual disability.

Very few adults with intellectual disability are in paid employment or intimate relationships, and the majority live in sheltered, supported housing, with very few owning their own home. There is a significant disconnect between policy and reality. Considerable work is required to make an ordinary life the reality for adults with intellectual disability.

This study adds to the body of evidence that suggests people with intellectual disabilities are less likely to experience an ordinary life. Furthermore, it illustrates that despite Jersey being an affluent society, the same difficulties and barriers exist there for persons with an intellectual disability as in other jurisdictions.

We document long-run trends in interstate migration rates, using individual-level data from the U.S. Census for the period 1850–1990. Two measures of migration are calculated. The first considers an individual to have moved if she is residing in a state different from her state of birth. The second considers a family to have moved if it is residing in a state different from the state of birth of one of its young children, allowing us to estimate the timing of moves more precisely. Overall migration propensities have followed a U-shaped trend since 1850, falling until around 1900 and then rising until around 1970. We examine variation in the propensity to make an interstate move by age, sex, race, nativity, region of origin, family structure, and education. Counterfactuals based on probit estimates of the propensity to migrate suggest that the rise in migration of families since 1900 could be explained by increased educational attainment, although education may be serving as a proxy for unmeasured covariates. The decline of interstate migration in the late nineteenth century remains to be explained.

Reviews a number of contributions to migration analysis. Discusses some of the rudiments of migration modelling before turning attention to specific applications. Pays particular attention to articles which have modelled the interaction between labour and housing markets.

We analyze and assess new evidence on employment dynamics from a new data source – the National Establishment Time Series (NETS). The NETS offers advantages over existing data sources for studying employment dynamics, including tracking business establishment relocations that can contribute to job creation or destruction on a regional level. Our primary purpose in this paper is to assess the reliability of the NETS data along a number of dimensions, and we conclude that it is a reliable data source although not without limitations. We also illustrate the usefulness of the NETS data by reporting, for California, a full decomposition of employment change into its six constituent processes, including job creation and destruction stemming from business relocation, which has figured prominently in policy debates but on which there has been no systematic evidence.

Geographical relocation of ventures, together with rates of firm formation and closure, determine the entrepreneurial population dynamics of a region. However, venture migration has remained largely unaddressed by prior entrepreneurship scholars. This paper draws from theoretical frameworks and prior findings in the economic demography literature to explore policy and environmental determinants of regional venture migration rates, referred to as entrepreneurial transience. Using county-level data for the state of Ohio, we show that local taxation is an important driver of entrepreneurial transience. In particular, local income tax rates are found to be negatively related to subsequent net transience – i.e., venture migration deficits or surpluses. Local business property taxes also influence net transience, but the direction of their impact depends on the average income level in the locale.

The market is not the only spontaneous order. Hayek himself drew attention to language and English common law as other examples, noting that they had first been identified as such by Scottish Enlightenment philosophers such as Adam Smith and Adam Ferguson. Hence, such orders “are made with equal blindness to the future; and nations stumble upon establishments, which are indeed the results of human action, but not the execution of any human design” (Ferguson, 1782, sec. II). In the 20th century, Michael Polanyi used the term spontaneous order for the polycentric feedback system that explains the growth of scientific knowledge (Polanyi, 1962).

Examines the theory of regional equilibria in the presence of endogenous migration, where net migration flows are determined by real consumption wage and unemployment‐rate differentials. Provides a theoretical analysis of market clearing and steady state concepts of equilibrium and examines the impact on local demand of government expenditure. Concludes that a natural rate input‐output model applies, but that the system takes a long time to return to the equilibrium.

The spread of COVID-19 from Wuhan to the global countries has a direct association with human mobility. Perhaps, human mobility increases the hazards of COVID-19 due to its communicable characteristic of human-to-human transmission. Thus, the volume of migrants and migration may have a significant role in the outbreaks of COVID-19 in any country. Given that India homes more than 45 crores of migrants, the present study aims to examine the linkages between migration flows and COVID-19.

The present study has used secondary sources such as data sharing portals, census, news and media reports and Web sources. The updated COVID-19 data was retrieved from the www.covid19india.org, whereas migration rates were analysed from the D-series of census 2011.

Nearly 23% of total inter-state migration occurred for the livelihood only. The numbers of cases have raised much earlier and faster in migrant's destination states than in migrant's origin states. Further, as shown in the scatterplots, that positive association between “COVID-19 and in-migration” is found to be more robust than “COVID-19 and gross-migration”. On the other hand, the migrant's origin states are also experiencing a rapid increase of COVID-19 cases due to large numbers of returning migrants. These return-migration flows have created major administrative, social and public health challenges, particularly in the origin states, and as a whole in India.

This paper has potential to help policy planners to identify the COVID-19 vulnerability of various states in respect to the migration perspectives. Moreover, it also enhances the understanding to establish the linkage between COVID-19 outbreaks and migration.