Richard Dorsett

An investigation of the increasing prevalence of nonpurchase of meat by British households

The purpose of the analysis has been to investigate the determinants of the households decisions regarding the purchase of meat in Great Britain. The approach, using a Box-Cox generalization of the ‘double hurdle’ model, has depicted the household making two choices, namely whether or not to purchase the product (the participation decision) and then, for those households which do purchase, how much to buy (the expenditure decision). The determinants considered are socioeconomic variables, such as the total expenditure of the household, market prices, characteristics of the householder (age, gender, education, type of employment) and characteristics of the household (location, presence of children, etc.). By conducting the analysis over several years of survey data (1975–1993) it is possible to investigate whether the influence of these variables has changed over time. The bulk of the empirical analysis has concerned single adult households (with or without children).

A Multilevel Analysis of the Impacts of Services Provided by the U.K. Employment Retention and Advancement Demonstration

Background: The United Kingdom Employment Retention and Advancement (U.K. ERA) demonstration was the largest and most comprehensive social experiment ever conducted in the United Kingdom. It examined the extent to which a combination of postemployment advisory support and financial incentives could help lone parents on welfare to find sustained employment with prospects for advancement. ERA was experimentally tested across more than 50 public employment service offices and, within each office, individuals were randomly assigned to either a program (or treatment) group (eligible for ERA) or a control group (not eligible). Method: This article presents the results of a multilevel nonexperimental analysis that examines the variation in office-level impacts and attempts to understand what services provided in the offices tend to be associated with impacts. Result: The analysis suggests that impacts were greater in offices that emphasized in-work advancement, support while working and financial bonuses for sustained employment, and also in those offices that assigned more caseworkers to ERA participants. Offices that encouraged further education had smaller employment impacts. Conclusion: Plausible results are obtained identifying those particular implementation features that tended to be linked to stronger impacts of ERA. The methodology employed also allows the identification of which services are associated with employment and welfare receipt of control families receiving benefits under the traditional New Deal for Lone Parent program.

The degree of monopsony power in agricultural labour markets, and the impact of the agricultural minimum wage: an application to craft workers in England and Wales

This paper uses cross-section data to examine the determinants of wages for agricultural craft workers over the period 1991–1994. Using limited dependent variable models to take account of the censoring in the data resulting from the minimum wage, we have investigated the degree to which agricultural and broader labour markets are integrated, the impact of tied housing on wages, and the extent to which the minimum wage truncates the wage distribution.

Policy evaluation in a time of austerity: introduction

Introduction to the special issue on policy evaluation. Considers what role policy evaluation should play in government policy formation in a period of austerity

Using Administrative Data to Explore the Effect of Survey Nonresponse in the UK Employment Retention and Advancement Demonstration

Background: Even a well-designed randomized control trial (RCT) study can produce ambiguous results. This article highlights a case in which full sample results from a large-scale RCT in the United Kingdom differ from results for a subsample of survey respondents. Objectives: Our objective is to ascertain the source of the discrepancy in inferences across data sources and, in doing so, to highlight important threats to the reliability of the causal conclusions derived from even the strongest research designs. Research design: The study analyzes administrative data to shed light on the source of the differences between the estimates. We explore the extent to which heterogeneous treatment impacts and survey nonresponse might explain these differences. We suggest checks which assess the external validity of survey measured impacts, which in turn provides an opportunity to test the effectiveness of different weighting schemes to remove bias. The subjects included 6,787 individuals who participated in a large-scale social policy experiment. Results: Our results were not definitive but suggest nonresponse bias is the main source of the inconsistent findings. Conclusions: The results caution against overconfidence in drawing conclusions from RCTs and highlight the need for great care to be taken in data collection and analysis. Particularly, given the modest size of impacts expected in most RCTs, small discrepancies in data sources can alter the results. Survey data remain important as a source of information on outcomes not recorded in administrative data. However, linking survey and administrative data is strongly recommended whenever possible.