John B. Lansing

The geographic mobility of labor

What do you do to start reading geographic mobility of labor? Searching the book that you love to read first or find an interesting book that will make you want to read? Everybody has difference with their reason of reading a book. Actuary, reading habit must be from earlier. Many people may be love to read, but not a book. Its not fault. Someone will be bored to open the thick book with small words to read. In more, this is the real condition. So do happen probably with this geographic mobility of labor.

FAMILY LIFE CYCLE AS AN INDEPENDENT VARIABLE

degree of urbanization controlled, white delinquents have a comparatively smaller proportion of girls and pre-adolescents than Negro delinquents. For example, in the highly urbanized counties, the pre-adolescent delinquency rate is 36 per cent of the adolescent delinquency rate for white boys; the corresponding statistic is 55 per cent for Negro boys. Similarly, the adolescent delinquency rate for white girls is 18 per cent of the adolescent delinquency rate for white boys, whereas the corresponding statistic for Negroes is 30 per cent. Within each group of counties, three Negro-white comparisons are possible, twelve in all. All twelve show male adolescents bulking larger among whites.

An Analysis of Interurban Air Travel

Introduction, 87. — I. Theoretical considerations, 88. — II. Statistical analysis: New York and Chicago, 90. — III. Comparison of cities by size classes, 91. — IV. Conclusion, 94.

THE EFFECTS OF MIGRATION AND PERSONAL EFFECTIVENESS ON LONG-DISTANCE TRAVEL

THE PROBLEM to which the research reported here is addressed is analysis of the demand for long-distance travel. Trips to places 100 miles away or more are considered. The analysis is based on a survey of a cross-section of the population of the United States conducted by the Survey Research Center of the University of Michigan in 1962. The novel element in this paper is the inclusion among the predictors of the volume of travel by individuals of measures of their prior geographic mobility and their personalities. Estimates will be presented of the relation between the geographic mobility of people and their subsequent frequency of travel, and of the relation between their sense of personal effectiveness and their frequency of travel. It is not possible using a single cross-section survey to develop a complete model of all the variables which are related to the freqeuncy with which people travel. The method is poorly adapted to the estimation of the effects of some variables, such as changes over time in the price of transportation. The method is useful for isolating characteristics of individuals associated with differences in how many trips they take. Apart from simple intellectual curiosity there are two basic reasons for interest in analysis of the demand for travel: forecasting and marketing. Most studies of forecasting rely upon projections into the future of the effects of the changing income distribution of the population and its changing demographic characteristics. The research presented here has some relevance to forecasting, especially to forecasting the volume of travel on particular routes, since it investigates the connections between migration and subsequent travel. The results are perhaps more directly concerned with problems of marketing, that is, problems of adapting the nature of the services supplied to the requirements of potential travellers. For the design and operation of transportation systems it is important to understand as thoroughly as possible who travels and why, as well as who does not travel, and the reasons why. HYPOTHESES

A Cross-Section Analysis of Non-Business Air Travel

Abstract For any individual adult what linear combination of variables yields the best estimate of the probability that he will take at least one non-business air trip in a year? Given that an individual will take at least one non-business air trip, what variables yield the best estimate of the number of such trips which he will take? This paper is a report of an attempt to answer these questions through multiple regressions based on data from a survey covering a cross-section of the adult population of the United States. Most of the analysis is devoted to the question of what factors determine the probability that an individual will take at least one air trip. * The analysis reported here has been carried out as a project of the Research Seminar in Quantitative Economics of the Department of Economics of the University of Michigan. The data were made available to the Research Seminar by the Survey Research Center, a unit of the Institute for Social Research of the University. The authors are indebted to ...