The Food Stamp Program and Food Insufficiency

Food stamp participants have higher food insufficiency rates than eligible nonparticipants, even after controlling for other factors. Given the Food Stamp Program's prominent role in the alleviation of hunger, this is a counterintuitive result. We conjecture that these higher rates are due to adverse selection insofar as households more likely to be food insufficient are also more likely to receive food stamps. We establish a theoretical framework to address this adverse selection. Using a simultaneous equation model with two probits, we show that once one controls for this adverse selection, food stamp recipients have the same probability of food insufficiency as nonrecipients.     

Malmquist indices of productivity change in Portuguese banking: The deregulation period

This paper will evaluate productivity change in Portuguese banking using the Malmquist productivity index. The results show that between 1990 and 1997, banks in Portugal witnessed increased productivity and strong technological progress. Both small and large banks experienced higher productivity and technological change scores, while mid-sized institutions are putting more effort into catching-up policies. Rural banks have experienced strong productivity growth and are catching up with the best practices but lower levels of technological change. Urban banks show higher productivity growth and technological change levels. Government-owned banks have experienced lower levels of productivity change. Finally, the asset per employee ratio shows a positive correlation with the productivity scores, suggesting that this simple index is a good proxy for productivity.     

Systemic justice and burnout: A multilevel model

With the aim of extending organisational justice research to embrace significant and enduring aspects of the workplace context, this study examines organisational culture and human resource management (HRM) as constitutive dimensions of systemic justice and relates them to employee health. Bridging organisational justice, HRM, organisational culture, and occupational health research, we advance and test a multilevel model relating systemic justice to burnout. Data collected from 60 organisations; 89 employee groups; and 1,976 employees provide support for the hypothesised relationships between justice‐oriented culture, in terms of organisational values and group culture, and justice‐oriented HRM. In turn, justice‐oriented HRM related directly to employee burnout and indirectly through employee perceived job control and supervisor social support.     

The influence of entrepreneurs’ social referents on start-up size

This paper uses social comparison theory to explore the effect that the average size of established businesses at the regional (provincial) level may have on start-up size. It is argued that established entrepreneurs at the regional level become referents of new entrepreneurs, influencing not only the decision to become entrepreneurs but also the characteristics of the new venture, such as its initial size. Specifically, the greater the average size of established businesses at the provincial level, the bigger the start-up size of new ventures. This paper further considers how this effect is moderated by two key individual level variables: knowing an entrepreneur personally (i.e., close social referent), and being the owner and manager of an existing business (i.e., past entrepreneurial and managerial experience). Predictions are tested using data that combine individual- and provincial-level information in Spain over the period 2008–2014. The results show the positive relationship of the average size of established businesses on new venture start-up size, and that this effect decreases when the entrepreneurs have previous entrepreneurial experience.     

Exchange Rate Asymmetry and Flexible Exchange Rates under Inflation Targeting Regimes: Evidence from Four East and Southeast Asian Countries

While many have underscored the role of a flexible exchange rate policy under an inflation targeting (IT) regime, very few studies have examined what actually happens to exchange rate policy once the emerging market announces that it will adopt inflation targeting. The central contention of this paper is that while the adoption of an inflation targeting (IT) policy may lead to more flexible exchange rate movements, for various reasons it is possible that the degree of flexibility will be significantly higher on one side of the market. In this study, we demonstrate that four Asian economies—namely, Indonesia, Korea, the Philippines and Thailand—whom were among the first group of emerging markets to embrace the inflation targeting framework of monetary policy, tend to adopt a form of asymmetrical exchange rate behavior, wherein appreciation pressures are restrained more substantially than depreciation pressures.     

The Impact of Institutional Differences on Derivatives Usage: a Comparative Study of US and Dutch Firms

This paper examines the influence of institutional differences on corporate risk management practices in the USA and the Netherlands. We compare results to surveys in each country using a strategy that corrects for differences over industry and size classes across the Dutch and US samples. We document several differences in the firms’ uses and attitudes towards derivatives and attempt to attribute them to the differences in the institutional environments between the USA and the Netherlands. We find that institutional differences appear to have an important impact on risk management practices and derivatives use across US and Dutch firms.     

A STATISTICAL ANALYSIS OF PRODUCTIVITY IN SELECTED SERVICE INDUSTRIES IN THE UNITED STATES, 1939–1963

This paper examines differentials in output, employment and productivity across seventeen service industries in the United States from 1939 to 1963. Included are 9 retail trades and 8 services mostly from the personal service group. The industries chosen were those for which it was possible to obtain from available data reasonably comparable measures of output and input for selected years since 1939. Also, they are industries for which it is possible to calculate a measure of real output that is not based on labor input.
Sixteen of the industries show positive rates of change of real output per man. Thus there appears to be no basis for assuming that productivity cannot or does not increase in industries providing services. However, the rate of increase for the group as a whole was not as rapid as in manufacturing or in goods production as a whole.
The data for the seventeen industries give strong support to the hypothesis of a positive correlation between industry rates of growth and rates of change of productivity. The correlations are of the same order of magnitude as those found by other investigators in studies of manufacturing industries.
The coefficient of correlation between growth of output per man and growth of output is .93; between growth of output per man and growth of employment it is .54 for 1939–1963. The comparable coefficients for the 1948–1963 period are .70 and .13.
The results also parallel those reported for manufacturing in one other respect, namely, the absence of any correlation between changes in output per man and changes in compensation per man.
The paper concludes with a discussion of the problems encountered in measuring changes in real output in these industries and presents some alternative estimates based on different concepts and different sources.     

A panel data approach to economic forecasting: The bias-corrected average forecast

In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using panel-data sequential asymptotics we show that it is potentially superior to other techniques in several contexts. In particular, it is asymptotically equivalent to the conditional expectation, i.e., has an optimal limiting mean-squared error. We also develop a zero-mean test for the average bias and discuss the forecast-combination puzzle in small and large samples. Monte-Carlo simulations are conducted to evaluate the performance of the feasible bias-corrected average forecast in finite samples. An empirical exercise, based upon data from a well known survey is also presented. Overall, these results show promise for the feasible bias-corrected average forecast.