2017 World Bank Conference on Land and Poverty March 23, 2017

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Presentation transcript:

Measuring informal housing & its socio-economic outcomes: First Nation Reserves in Canada 2017 World Bank Conference on Land and Poverty March 23, 2017 Ballantyne & Ballantyne

In theory: Ricardo, Coase, Demsetz Formal land tenure: Increases incentives to invest Increases bargaining efficiency Lowers transaction costs Lowers costs of defense Internalizes externalities Allows collateralization Indigenous Land Titles Initiative

In practice: Results of titling Peru: increased labour force participation Argentina: more infrastructure investment reduced fertility rate smaller household size higher educational outcomes Collateralization? Reversion to informality

First Nation Reserves in Canada

Community Well-Being (CWB) Components: Income Education Labour Force Activity First Nations are heterogeneous

Land tenure on FN Reserves Formal (INAC): Certificates of possession, leases Informal (not INAC): Quantum unmeasured

Research question Does informality hinder socio-economic development (CWB) in British Columbia and Ontario? 95 Reserves in BC and 74 in ON have CWB data 34 Reserves in BC and 44 in ON have data for Income, LFA, Education, Housing

Measuring informality Census: total dwellings = (formal + informal) Indian Lands Registry: formal Imagery: informal Informality ratio = (informal/total)

Variables Dependent Independent Community Well-Being Informality Reserve population Reserve area Distance to service centre Distance to urban centre (pop. over 50,000) Global Non-Response rate (GNR)

The model OLS: 𝐶𝑊𝐵 𝑖 = 𝛼+𝛽 𝑖𝑛𝑓𝑜𝑟𝑚𝑎𝑙𝑖𝑡𝑦 𝑖 + 𝑋 𝑖 ′ 𝜃+ 𝑢 𝑖 𝐶𝑊𝐵 𝑖 = 𝛼+𝛽 𝑖𝑛𝑓𝑜𝑟𝑚𝑎𝑙𝑖𝑡𝑦 𝑖 + 𝑋 𝑖 ′ 𝜃+ 𝑢 𝑖 Seemingly Unrelated Regression: 𝐼𝑛𝑐𝑜𝑚𝑒 𝑖 = 𝛼+𝛽 𝑖𝑛𝑓𝑜𝑟𝑚𝑎𝑙𝑖𝑡𝑦 𝑖 + 𝑋 𝑖 ′ 𝜃+ 𝑢 𝑖 𝐸𝑑𝑢𝑐𝑎𝑡𝑖𝑜𝑛 𝑖 = 𝛼+𝛽 𝑖𝑛𝑓𝑜𝑟𝑚𝑎𝑙𝑖𝑡𝑦 𝑖 + 𝑋 𝑖 ′ 𝜃+ 𝑢 𝑖 𝐻𝑜𝑢𝑠𝑖𝑛𝑔 𝑖 = 𝛼+𝛽 𝑖𝑛𝑓𝑜𝑟𝑚𝑎𝑙𝑖𝑡𝑦 𝑖 + 𝑋 𝑖 ′ 𝜃+ 𝑢 𝑖 𝐿𝐹𝐴 𝑖 = 𝛼+𝛽 𝑖𝑛𝑓𝑜𝑟𝑚𝑎𝑙𝑖𝑡𝑦 𝑖 + 𝑋 𝑖 ′ 𝜃+ 𝑢 𝑖

Summary stats Overall: total housing count = 23,614 Informal = 55.1% 56% in Ontario (with 11,917 houses in toto) 55% in BC (with 11,697 houses in toto)

Summary stats for 95 IR in BC and 74 in ON*   Average Max Min CWB 61, 63* 82, 75* 45, 38* Population 337, 448* 2604, 2592* 70, 68* GNR 0.20, 0.19* 0.50, 0.48* 0.02, 0.01* Area (ha) 1246, 5222* 13283, 42614* 10, 13.4* S. Centre (km) 149, 161* 691, 600* 1, 7.4* City (km) 273, 262* 886, 600* % housing inform. 75, 72* 100, 100* 2.55, 5*

Summary stats for 34 IR in BC and 44 in ON*   Average Max Min CWB 61, 62* 82, 75* 45, 45* Income 62, 61* 94, 78* 45, 42* Education 40, 38* 60, 55* 22, 12* Housing 76, 75* 96, 94* 53, 47* Labour Force Activity 67, 73* 81, 87* 47, 56* Population 662, 662* 2604, 2592* 259, 260* GNR 0.24, 0.20* 0.50, 0.48* 0.05, 0.07* Area (ha) 1805, 6797* 13283, 42614* 13, 13 S. Centre (km) 163, 180* 691, 600* 1, 7.4* City (km) 278, 258* 818, 600* % housing inform. 66, 64* 100, 100* 2.55, 5*

Results (p1) Informal housing significantly reduces CWB! 10% increase of informality decreases CWB by: 0.90 points in British Columbia 0.83 points in Ontario Thought experiment for an IR in BC: At time 1, 100% informal At time 2, 100% formal Change in CWB = 9 points!

Results (p2): Components of CWB British Columbia Ontario Significant at 0.05 level: Income LFA Housing Significant at 0.07 level: Education Significant at 0.05 level: Income Education LFA Significant at 0.16 level: Housing

Supplementary stuff Reverse-causality? Role of unobserved metrics: Governance Institutions Much more to empirically examine: Assess all regions Incorporate 2016 Census Refine methodology (e.g. automated PFI generator)