The Labour Market Effects of ‘Working for Families’ In New Zealand
| Author | John Creedy,Joseph Mercante,Penny Mok |
| DOI | http://doi.org/10.1111/1467-8462.12260 |
| Date | 01 June 2018 |
| Published date | 01 June 2018 |
The Labour Market Effects of ‘Working for Families’
In New Zealand
John Creedy, Joseph Mercante and Penny Mok*
Abstract
This article examines, using a behavioural
microsimulation model for New Zealand, the
impact of the major package of welfare reforms
collectively referred to as ‘Working for Fami-
lies’(WfF). These reforms were announced in
May 2004 and involved a phased introduction
of changes, with annual modifications from
October 2004 until April 2007. Concentrating
on welfare payments for families with depen-
dent children, this remains a cornerstone of the
New Zealand welfare system. The simulation
takes a backward-looking perspective, by
comparing labour supply under the 2008
database and tax structure with that obtained
using the 2008 data and 2004 tax structure
(suitably adjusted for inflation).
1. Introduction
The aim of this article is to examine, using
a behavioural microsimulation model for
New Zealand, the labour market impacts of
the major package of welfare reforms collec-
tively referred to as Working for Families
(WfF). These reforms were announced in
May 2004, and involved a phased introduction
of changes, with annual modifications from
October 2004 until April 2007. Concentrating
on welfare payments for families with depen-
dent children, WfF remains a cornerstone of
the New Zealand welfare system. Despite the
lapse of time since the full implementation of
the new structure, a simulation analysis of the
implications for labour supply is warranted in
view of its continued importance and the fact
that very little evidence is actually available
about its effects.
1
The two aims of thereforms, explicitly stated
at the time, were to reduce child poverty and
to improve work incentives for low-paid work-
ers. A main labour supply stimulus involved
the use of an in-work payment for families
with children, available after a threshold
number of hours of work. For couples, the
hours threshold is 30 hours per week, and for
sole parents the threshold is 20 hours per week.
In addition, changesto abatement rates (applied
above earnings thresholds) were made in
order to reduce effective marginal tax rates
facing families with children. In New Zealand,
these rates, variously termed ‘clawback’or
‘taper’rates elsewhere, are referred to as
‘abatement rates’.
Despite the emphasis on stimulating labour
supply, and the complexity in the budget
constraints facing individuals, the government
was not able, during the lengthy planning
* Creedy: Victoria University of Wellington, Wellington,
New Zealand; Mercante: Australian Department of
Employment, Canberra, Australia; Mok: Ministry of
Business, Innovation and Employment, Wellington,
New Zealand. Corresponding author: Creedy, email
<john.Creedy@vuw.ac.nz>. This article is part of a larger
project on ‘Improving New Zealand’s Tax Policy via
International Tax Transfer Model Benchmarking’, funded
by an Endeavour Research Grant from the Ministry of
Business, Innovation and Employment (MBIE) and
awarded to the Chair of Public Finance (CPF). Access to
the data used in this article was provided by Statistics
New Zealand in accordance with security and confidenti-
ality provisions of the Statistics Act 1975. The results
presented in this study are the work of the authors, not
Statistics New Zealand. The authors are grateful to
Matthew Bell, Guyonne Kalb and two referees for their
very helpful comments on an earlier draft.
The Australian Economic Review, vol. 51, no. 2, pp. 211–31
°
C2018 The University of Melbourne, Melbourne Institute of Applied Economic and Social Research
Published by John Wiley & Sons Australia, Ltd
stages of the reforms, to draw on advice based
on labour supply modelling. Reliance was
placed on the argument that the introduction of
an in-work payment, involving the hours
thresholds, would provide a strong incentive
to increase hours of work. During the planning
stages, the program was referred to as ‘Future
Directions’; background details can be found in
Ministry of Social Development (2004a,
2004b) and Nolan (2002).
The plans were significantly influenced
by experience with tax credits in the UK,
discussed, for example, by Brewer (2003), and
the labour supply estimates of Duncan and
Giles (1996) and Blundell et al. (2000). It was
also possible to draw on studies of experience
with US tax credits, reported for example in
Eissa and Hoynes (1999) and Ellwood (2000).
Potential incentive effects were discussed by
Nolan (2003) and a theoretical analysis of the
role of hours thresholds with in-work tax
credits, along with simulations in the optimal
tax tradition, motivated by the WfF reforms,
was reported in Creedy (2005). A useful wide-
ranging early review is by Johnson (2005), who
compared WfF with US social transfers and
stressed a number of adverse incentive effects.
The eligibility rules, the interaction with
other aspects of the tax and transfer system, and
unique features of the New Zealand system
mean that the impacts on work incentives
are not straightforward. The changes actually
resulted in higher effective marginal tax rates
for some families. In addition, the reforms
generated both income and substitution effects,
so that labour supply could either increase or
decrease, and the effects could differ for
different demographic groups. Hence, it is
important to understand the impacts of the
reform on potential labour market behaviour of
the targeted groups using a behavioural micro-
simulation model that captures the full hetero-
geneity of the population as well as the full
complexity of the income tax and transfer
system.
Two earlier studies of the labour market
effects of WfF have been carried out. The
first was reported in an unpublished paper
by Kalb et al. (2005), which was later
included in Buddelmeyer et al. (2007).
2
This
used the behavioural microsimulation model,
TaxMod-B, and involved comparisons of
labour supplies under the 2001 tax structure
and Household Economic Survey (HES) with
those simulated using the planned 2008 tax and
welfare structure.
3
The 2001 wage rates, non-
wage incomes and benefit levels were uprated
to their projected 2008 values.
4
The base
year of 2001 was used because it was the
most recent HES, following the Statistics
New Zealand decision to reduce the frequency
of the survey. The survey weights were
recalibrated in order to produce a sample that
more closely approximated that expected in
the later implementation years.
5
The second study was an ex post evaluation
of the reform, carried out jointly by the
Ministry of Social Development (MSD) and
the Inland Revenue Department (IRD). It
covered the period from implementation of
the scheme until the end of March 2007.
Dalgety et al. (2010) estimated gains of six
percentage points in employment rates for sole
parents.
6
They also found that both members
of couples with children were less likely to be
in employment after the reform, by around
two percentage points. In addition, WfF was
estimated to have decreased the employment
rate of secondary earners, with the largest
impact on secondary earners working part-time
(fewer than 30 hours per week). The evaluation
reports identified primary earners in couples as
those with greatest attachment to the labour
market, being predominantly male, having
higher qualifications and being slightly older
than secondary earners. In using the difference-
in-differences approach, Dalgety et al. (2010)
relied on the very strong assumption that sole
parents (the comparison group) are similar to
single adults without children (the control
group), except that sole parents are affected by
the WfF reforms.
7
They also estimated changes
in the hazard function, using a dummy variable
for the post-reform period. Hence no explicit
labour supply modelling was used.
Importantly, numerous macroeconomic and
other changes took place over the period
following the initial introduction of WfF,
in addition to those made to the tax and
welfare system. As a result, direct comparisons
212 The Australian Economic Review June 2018
°
C2018 The University of Melbourne, Melbourne Institute of Applied Economic and Social Research
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeUnlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations