Taxation and the value of nonmarket time

In this study, the value of nonmarket time is estimated for American families using the opportunity cost approach whereby the market wage is taken as a measure of the value of time and used to impute nonmarket income to each household. In cases where the market wage is not observed, a new estimation technique is used to obtain consistent estimates of the wage. It is shown that the nonmarket income of families increases with family money income and family size, but decreases with age and the number of job holders in the family. The implications for taxation are discussed.     

A dynamic macro social indicator model of changes in marriage, family, and population in the United States: 1947–1974

This paper presents an integrated 21-equation model of how marriage, family, and population conditions, as indexed by macro social indicators, affect each other and are affected by other social, demographic, and economic forces. An opportunity structures theoretical paradigm is applied to the specification of dynamic structural equations for determining changes (both trends and cyclical fluctuations) in marriage formation and dissolution, family and household composition, fertility, mortality, population growth, and population distribution. The equations are estimated on annual national data for the United States during the post-World War II years 1947 to 1972, and then they are used to make conditional forecasts of the values of some of the endogenous variables for 1973 and 1974. It is found that the equations fit the observed data well, lack demonstrable autocorrelation of disturbances, and forecast the 1973 and 1974 values usually with less than 2% error. Strategies are sketched for further refining some of the equations, and it is suggested that this model should be integrated into a larger societal model in order to estimate some of the effects of changes in demographic phenomena on other social conditions.     

Recursive models for categorical data

Standard methods for recursive models with continuous endogenous variables are extended to models with categorical endogenous variables. The concept of a reduced-form equation is generalized in a natural way to cover nonlinear regression functions and, in particular, models with categorical endogenous variables. Maximum-likelihood estimation and asymptotic chi-square tests are described. Two numerical examples are presented: a linear recursive two-equation model for all-categorical data, and a combined linear and logit three-equation recursive model with both categorical and continuous endogenous variables. Limitations of the present work and directions for further extension are noted.     

Body time and social time: Mood patterns by menstrual cycle phase and day of the week

Multiple regression analysis traces the effects of two time dimensions (body time as indexed by the female menstrual cycle, and social time as indexed by the calendar week) upon moods, in a prospective study of daily moods over a 40-day period. Positive moods peaked in the ovulatory phase and on weekends, while negative moods peaked in the luteal phase of the menstrual cycle. An individual difference analysis showed that women whose moods are responsive to the menstrual cycle are physically active, socially assertive, sexually orgasmic women for whom the maternal role is important.     

Deducing simple majorities from approval voting ballot data

An approval voting election allows each voter to vote for as many candidates as he wishes. The winner of such an election is the candidate with the most approval votes. Ballot data aggregated for individual voters tell how many voters voted for each subset of candidates. Given reasonable assumptions about what voters' ballots reveal about their preferences, this report shows what must be true of the ballot data in order to conclude that the electorate has a majority preference for one candidate over another. A simple corollary tells what must be true of the ballot data to conclude that the winner is preferred by a majority of voters to every other candidate. Both hypothetical and reconstructed ballot data from a mayoral election in Boston are used to illustrate the results. It is also shown that the likelihood of being able to draw conclusions about majority candidates tends to increase as voters tend to vote for fewer candidates.     

Cross-sectional and longitudinal analysis of developmental data

Methods appropriate to the analysis of longitudinal-panel data are not necessarily appropriate to the analysis of developmental data, because of the sequential order that developmental data are assumed to have. This paper compares, using data from a study of social categorization ability, the usual cross-sectional test for cumulative order (Guttman scaling) with a longitudinal test for sequential order using matrices. This matrix-based test is then compared to the analysis of differences in proportions. It is shown that the matrix-based test is more appropriate to the analysis of developmental data than either longitudinal difference-of-proportion analysis or the Guttman scale.     

Psychophysical measurement and the validity of the modern economic approach: A presentation of methods and preliminary experiments

The modern economic approach to human behavior and social interaction argues that people maximize the subjective theoretical quantity utility. This primary presupposition has resisted all empirical tests and a consensus has developed that it is unfalsifiable. A promising new approach to the problem is introduced in the paper through research on the psychophysical measurement of the marginal utility of money and commitment. The research reported here suggests that the utility function for money conforms to the power law and has an exponent of about .43. The paper also examines the advisability of broadening the utility function to cover social variables. An operationalization of the concept of commitment was examined using psychophysical techniques with the result that people appear to have utility for commitment, that a power function is involved, and that the exponent is in the vicinity of .36.     

Interorganizational resource networks: Formal patterns of overlap

In this paper, we analyze an interorganizational resource network involving three resources—information, money, and support-and a broad range of 73 organizations in a medium size American community. Mutuality is strongest for information flows, and weakest for money flows. “Multiplex” patternings—flows of two media in the same direction—are found for all three pairs of resources, while “exchange” effects—flows of two media in opposite directions—involving information and money, and information and support, but not money and support, are also indicated. Moreover, the tendencies toward symmetry in the information and support networks are accentuated in the presence of one another. The analysis suggests that information flows play a crucial role in conditioning the flows of the other resources, and that they may be a precondition to the establishment of more elaborate interorganizational networks.     

Latent structures of vertical control in intergovernmental relations

Much of the work on interorganizational (IO) relations focuses on intracommunity bases of resource exchange, or what a number of writers have referred to as the “horizontal axes” of community organization and resource control. Building on earlier work in the field, the present paper extends this conceptual framework to include “vertical” dimensions of resource control as they pertain to the work relations of governmental units at the local and extralocal level. In this context, vertical control is viewed as a power-dependence relation between county-based public service agencies and their “parent” units at the state and federal level. Variations in these control relations are used to identify alaternate structures of vertical control within a set of public service programs spanning several units of government. The analysis reveals three basic types of vertical control structure each of which is shown to foster a distinct pattern of exchange relations among these units.     

Racial discrimination and the social organization of industries

This study investigates the relationship between several factors of the social organization of labor markets and racial discrimination during the late 1960s. Log-linear models are used to obtain indicators of the relative opportunities of black and white men to obtain different occupations across each of 38 industrial segments. We then examine the nature of the relationship between these indicators of discrimination and a number of aspects of industries suggested to be important by various theories of discrimination. The results indicate that relative black opportunities were favorably influenced by government employment, industrial and white collar (but not craft) unionization, and product market power, and they were adversely influenced by profitability and customer preferences for nonretail sales workers. Of particular interest is the finding that, contrary to the hypothesis derived from neoclassical economics, market power had a positive effect on black opportunities.     

Organizational boundaries and upward job shifts

Recent research has examined the role of organizations in the stratification system and the functioning of stratification systems in organizations. In this analysis, we examine the implications of organizational boundaries for upward job changes within and across organizations. To perform our analysis, we utilize a nonstationary, modified Markov model that allows consideration of individual and job heterogeneity. The data are life histories of a sample of U.S. males between the ages of 30 and 39. Our results indicate that organizational boundaries create two kinds of resources: (1) general resources, and (2) organization-specific resources. General resources have a positive effect on upward movement within and across organizational boundaries. Organization-specific resources have a positive effect on upward movement within organizational boundaries, and a negative effect on upward movement across organizational boundaries—a situation of great benefit to organizations.     

Comparing measures of homicide trends: Methodological and substantive differences in the Vital Statistics and Uniform Crime Report time series (1933–1975)

Several Uniform Crime Reports (FBI) and Vital Statistics (NCHS) homicide time series for the United States, 1933–1975, are compared with respect to (a) definitions and collection procedures used; (b) differences in estimating procedures; and (c) substantive differences that result from use of either series. Among the findings from this investigation are that: (1) the sampling procedures employed by the NCHS appear to be superior to those of the FBI; (2) the FBI time series most commonly employed by researchers is discontinuous prior to 1958 due to revision procedures which were instituted at that time. Analyses over time periods which began prior to this year should employ a more accurate FBI time series which is published by the Office of Management and Budget (1973). (3) The specific time period under study may lead to different substantive conclusions with different indicators; (4) the results of statistical analyses of structural equation models contained herein indicate that while the difference is not generally statistically significant, the deterrent effect of execution is consistently estimated to be greater with the Vital Statistics series. This finding has important policy implications if estimates of the number of lives saved by executing prisoners are projected and utilized by policy makers. (5) Neither series indicates serious problems of autocorrelation of disturbances with the exogenous variables employed here; and (6) use of either series for the period after 1949 appears to produce the same substantive results.     

Durkheim and pierce on suicide and economic change

This paper is an attempt to build upon Pierce's important finding, a confirmation of Durkheim, that any form of economic disruption or change increases suicide. In this paper, certain aspects of Pierce's method are criticized. The analysis of an expanded and updated data set, using analytic techniques designed for time-series data, suggests that economic disruption per se is not as relevant to the suicide rate as are economic hardship and economic deterioration or improvement.     

Aggregate male and female labor force participation functions: An analysis of structural differences, 1947–1977

The hypothesis that the structure of the forces that affect male and female labor force participation rates are distinct has been corroborated in numerous studies using microdata. This paper examines the validity of this structural distinctiveness hypothesis in the context of aggregate, time series data on male and female labor force participation in the post-World War II United States. Standard economic and sociological theories are used to specify sex-specific participation functions that contain indexes of the sex-specific general opportunity for employment, the sex-specific rates of participation in the armed forces and in postsecondary schooling institutions, the average real wage rate, the average number of hours worked, and the fertility rate. It is found that the female rate is more responsive than the male rate to the general employment opportunities and average hours indexes, but less responsive to the wage rate. Also, the female rate responds positively to the armed forces participation and college enrollment rates, whereas the male rate is negatively related to these indexes. However, no evidence is found for another component of the structural distinctiveness hypothesis, namely, that the fertility rate bears a consistent negative relationship to the female participation rate. While this relationship may have held during the early postwar years, it seems to have been substantially attentuated since the early 1960s. Prospects for convergence of the male and female participation functions are evaluated. Although current social trends suggest that the female function eventually will resemble more closely the male funtion, it is concluded that substantial sex differences are likely to persist for at least another decade. Implications of this for the structure of the labor force participation functions used in macroeconometric forecasting models are discussed.     

Sex stratification in the workplace: Male-female differences in economic returns to occupation

Employing data from the 1974–1977 NORC General Social Surveys, I investigate differences in the earnings attainment of currently employed white men and women age 25 to 64. I focus special attention on the explanatory effects of job characteristics other than those traditionally employed in prestige and status-defined earnings models. The results, based on a multivariate regression analysis and a regression standardization procedure, suggest that a nontrivial portion of the earnings gap between men and women is due to women's concentration in jobs which are low-paying and heavily female and because women are less likely than men to exercise authority in their jobs or to control the means of production. Including these factors in an earnings model statistically increases women's earnings as a percentage of men's by over 7%, accounting for approximately 13% of the earnings gap. Net of these job characteristics, gender differences in industry distribution are not substantively important in explaining why women earn less than men, accounting for only 0.4% of the earnings gap. When single women's earnings are adjusted to take account of their occupational concentration, 10% of the male-single female earnings gap is explained, providing preliminary evidence that the job characteristics I specify are not mere proxies for work experience. Including job characteristics as measures of the context of employment thus usefully extends the human capital and prestige or statusdefined models traditionally employed in explanations of the male-female earnings differential.     

Measurement of popular disturbance

This paper has identified some points of convergence in the works of Sorokin, Tilly, and Gurr regarding the measurement of popular disturbance and has adopted their three-dimensional approach based on size, duration, and intensity. In criticizing past studies which used an incident as the only unit of data coding, it has been argued that a disturbance can be decomposed into a series of action phases. It has also been proposed that the intensity of a given mode of action can be empirically measured by computing its probability of causing human injuries, police arrests, and property damage. Finally, it has been suggested that the overall magnitude of a disturbance incident is measurable as a sum total of action phase magnitudes each of which is computed by combining size, duration, and intensity of the phase into a summary index.     

Occupational preferences and the quality of life

This paper focuses on the theoretical and empirical aspects of occupational choice by examining the structure of individual preferences expressed in terms of abstract characteristics. Both verbal and quantitative models were successfully tested, and a rough upper limit was set on the ability of individuals to specify their quality-of-life technology. The study was too restrictive to permit general inferences concerning the quality of life of particular occupations. However, it may be concluded from the limited empirical findings that the qualitative model captured career-living preferences almost as consistently as did the highly structured quantitative approach. The experiments extracted subjects' cognitive structures for career-living stiuations in all the richness and generality permitted by verbal expression. Although more costly to determine, such qualitative information is of considerable potential benefit to policy makers, ect., and equivalent knowledge cannot be obtained from numerical representations.     

Job-shift differences between men and women in the workplace

Until now causal analyses of male-female career differences have been based on the standard attainment model and have focused on differences in career outcomes, namely status and earnings. This paper departs from this practice by using the career life-cycle model of achievement as a framework for the analysis of sex differences in the job mobility experiences of management personnel of a large corporation. The paper focuses not on sexual differences in the level of career rewards, but on differences in the rate of job shifts as the career unfolds. The models are based on the mean-value function of a Poisson arrival process. The principal findings are: (1) Male and female job-shift regimes are similar in form and described by the mean-value function of a nonstationary and heterogeneous Poisson arrival process; (2) the parameters governing male and female job-shift regimes are significantly different; (3) parameter differences indicate sexual inequities with respect to the rate of return to productive resources, but not with respect to structural opportunities to shift; (4) for men and women alike, schooling increases the rate of job shift, while labor force experience prior to being hired and entry-level achievement decrease the rate of shift.