Mining and Social Movements: Struggles Over Livelihood and Rural Territorial Development in the Andes

Social movements have been viewed as vehicles through which the concerns of poor and marginalized groups are given greater visibility within civil society, lauded for being the means to achieve local empowerment and citizen activism, and seen as essential in holding the state to account and constituting a grassroots mechanism for promoting democracy. However, within development studies little attention has been paid to understanding how social movements can affect trajectories of development and rural livelihood in given spaces, and how these effects are related to movements’ internal dynamics and their interaction with the broader environment within which they operate. This paper addresses this theme for the case of social movements protesting contemporary forms of mining investment in Latin America. On the basis of cases from Peru and Ecuador, the paper argues that the presence and nature of social movements has significant influences both on forms taken by extractive industries (in this case mining) and on the effects of this extraction on rural livelihoods. In this sense, one can usefully talk about rural development as being co-produced by movements, mining companies, and other actors, in particular the state. The terms of this co-production, however, vary greatly among different locations, reflecting the distinct geographies of social mobilization and of mineral investment, as well as the varying power relationships among the different actors involved.     

Changes in REIT Liquidity 1990–1994: Evidence from Intra-day Transactions

This study uses data on intra-day transactions to analyze whether real estate investment (REIT) liquidity as measured by the bid-ask spread changed from 1990 to 1994, a period during which the industry's market capitalization increased from $8.7 billion to $45 billion. REIT percentage spreads (spread as percentage of share price) narrowed significantly, primarily attributable to higher share prices rather than narrower dollar-value spreads. An empirical model is used to analyze the determinants of percentage spreads. Return variance and share price, not market capitalization are found to be the primary determinants of percentage spreads in both periods. This suggests that the liquidity of REIT securities is similar to that of non-REIT securities with similar prices and return variance. In addition, percentage spreads are wider for REITs trading on the NASDAQ.     

Demand for Childcare Services and Labour Supply in Australian Families

This article provides empirical findings on non-parental childcare use and simulates the effect of childcare costs on labour supply in Australia.     

Moral Hazard,portfolio allocation,and asset returns for thrift institutions

This article examines the earnings performance of nontraditional assets allowed to thrifts since the early 1980s. It uses the statistical cost accounting methodology developed by Hester and Zoellner to estimate average returns on thrift portfolio investments for the years ending June 30, 1987 and June 30, 1988. Results show that average returns on land loans, service corporation investment, real estate investment, and commercial loans were significantly lower than returns on more traditional assets. The results are far more pronounced at capital deficient institutions, lending support to the hypothesis that they used nontraditional investments as a means of exploiting the deposit insurance system. Returns on nontraditional assets are significantly affected by geographic factors, even for well capitalized institutions. The article concludes with an evaluation of the reimposition of portfolio restrictions on thrifts by the Financial Institutions Reform, Recovery, and Enforcement Act of 1989.The views expressed in this paper are those of the authors and do not necessarily represent the views or opinions of the Federal Housing Finance Board, the Board of Governors of the Federal Reserve System, or the Federal Deposit Insurance Corporation. George Benston, Tom Fomby, Allen Berger, John Wolken, and anonymous referees made numerous constructive suggestions.     

A model depicting the relations among perceived stressors,role conflict and organizational commitment: A comparative analysis of Hong Kong and the United States

As managers and employees from different cultures begin to encounter one another in the workplace, the need arises to understand how organizational variables relate differentially based on one's culture. This study attempts to provide a preliminary examination of the relationship between stressors, sources of conflict and job commitment across two differing cultures, specifically the United States and Hong Kong. Although more similarities than differences between the two cultures were found, this study provides at least preliminary evidence that members of different cultures may perceive some stressors differently and exhibit different relationships between stressors and work attitudes.     

Predicting UK Business Cycle Regimes

This paper uses logistic regression to construct a one‐quarter ahead prediction model for classical business cycle regimes in the UK. The binary dependent variable is obtained by applying simple mechanical rules to date turning points in quarterly real GDP data from 1963 to 1999. Using a range of real and financial leading indicators, several parsimonious one‐quarter‐ahead models are developed for the GDP regimes, with model selection based on the SIC criterion. A real M4 variable is consistently found to have predictive content. One model that performs well combines this with nominal UK and German short‐term interest rates. The role of the latter emphasises the open nature of the UK economy.     

Three Corrected Score Tests for Generalized Linear Models with Dispersion Covariates

We develop three corrected score tests for generalized linear models with dispersion covariates, thus generalizing the results of Cordeiro , Ferrari and Paula (1993) and Cribari-Neto and Ferrari (1995) . We present, in matrix notation, general formulae for the coefficients which define the corrected statistics. The formulae only require simple operations on matrices and can be used to obtain analytically closed-form corrections for score test statistics in a variety of special generalized linear models with dispersion covariates. They also have advantages for numerical purposes since our formulae are readily computable using a language supporting numerical linear algebra. Two examples, namely, iid sampling without covariates on the mean or dispersion parameter oand one-way classification models, are given. We also present some simulations where the three corrected tests perform better than the usual score test, the likelihood ratio test and its Bartlett corrected version. Finally, we present a numerical example for a data set discussed by Simonoff and Tsai (1994) .     

Long-term forecasting methods: Emphasis and institutions

There are many explanations why the more structured and formalised techniques of forecasting have not yet provided major input to government policy except in specialised areas. This article gives an assessment of the present state of the art in our ability to predict the consequences of current actions in the long-term future. The relevance of this to the ongoing debate about the place of formal methods in policy analysis is considered. In many instances it seems that the methods used run counter to the ideal of scientific liberalism to which the forecasters and officials involved often subscribe. The article indicates where institutional arrangements can be adjusted to ensure that the forecasting ability available is better employed, and points to areas in which forecasting methodologists should increase their attention if forecasting methods are to support more open and more flexible institutional arrangements.