02539cas a2200337 a 4500 AALejournalIMF023168 230101c9999 xx r poo 0 0eng d 9798400218910 20.00 USD 1018-5941 BD-DhAAL BD-DhAAL Zheng, Guanyu. What Matters for Job Finding and Separation in the Long Run? : Evidence from Labor Market Dynamics in New Zealand / Guanyu Zheng, Gulnara Nolan, Christopher Ball, Siddharth Kothari. Washington, D.C. : International Monetary Fund, 2022. 1 online resource (29 pages) IMF Working Papers <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required Electronic access restricted to authorized BRAC University faculty, staff and students We use the novel anonymized Household Labour Force Survey (HLFS) microdata to analyze job finding rates and job separation rates in New Zealand. We find that individual characteristics, including age, gender, ethnicity and education have a significant impact on job finding and separation rates, even after controlling for other factors. We use a decomposition approach to analyze how the effects of individual characteristics on job finding and separation rates contribute to heterogeneity in employment outcomes. Overall, we find that higher separation rates of young workers play a disproportionate role in explaining heterogeneity of employment outcomes across age groups, while differences in finding rates are somewhat more important in explaining differences by education level. Both finding and separation rate differences are important in explaining differences across ethnicities. We also find some heterogeneous response of worker groups to business cycle after controlling for other factors. The results underscore the importance of well-targeted labor market support policies. Mode of access: Internet Aggregate Human Capital imf Employment imf Intergenerational Income Distribution imf Unemployment imf Wages imf Ball, Christopher. Kothari, Siddharth. Nolan, Gulnara. IMF Working Papers; Working Paper ; No. 2022/172 Full text available on IMF https://elibrary.imf.org/openurl?genre=journal&issn=1018-5941&volume=2022&issue=172 IMF e-Library