Econometric Analysis of Labour Market Interventions

This thesis involves three essays that explore the theory and application of econometric analysis to labour market interventions. One essay is methodological, and two essays are applications. The first essay contributes to the literature on inference with data sets containing within-cluster correlation. The essay highlights a problem with current practices when the number of clusters is 11 or fewer. Current practices can result in p-values that are not point identified but are instead p-value intervals. The chapter provides Monte Carlo evidence to support a proposed solution to this problem. The second essay analyzes a labour market intervention within Canada--the Youth Hires program--which aimed to reduce youth unemployment. We find evidence that the program was able to increase employment among the targeted group. However, the impacts are only present for males, and we find evidence of displacement effects amongst the non-targeted group. The third essay examines a set of Graduate Retention Programs that several Canadian provinces offer. These programs are aimed at mitigating future skill shortages. Once the solution proposed in the first essay is applied, I find little evidence of the effectiveness of these programs in attracting or retaining recent graduates.

Department dc:contributor.department

Economics

Year dc:date.issued

2013

Author dc:creator

• Webb, Matthew Daniel

Advisors dc:contributor.supervisor

• MacKinnon, James G.
• Lehrer, Steven F.

• Cluster Robust Standard Errors
• Labour Economics
• Econometric Inference
• Wild Bootstrap

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1974/8106

OAI identifier oai:identifier

oai:queensu.scholaris.ca:1974/8106