Table 3

Two-stage least squares instrument variable (IV) model, fixed effects

(1)(2)
HPROT
IV ROT0.404** 
(2.99) 
IV HP −0.00786
 (−0.03)
Unemp−0.0283***0.00455
(−5.24)(0.44)
Rentals0.0301−0.0530*
(1.41)(−2.04)
Density0.340**−0.425**
(2.59)(−3.28)
Urban−0.171**0.0351
(−3.10)(0.42)
Pop0.263* 
(2.28) 
Inc0.1370.758***
(1.03)(4.38)
Tax0.523*−1.410***
(2.25)(−7.81)
Constant4.648***−5.776***
(3.47)(−3.87)
Fixed municipalitiesYesYes
Fixed-year effectsYesYes
AIC−8038.7−5972.1
Hausman test0.000.00
F-test of excluded instruments30.7319.42
Andersson Canonical correlation LM statistics33.0120.91
Cragg-Donald Wald F statistics30.7319.42
Stock-Yogo critical values16.3816.38
Observations4,0604,060

Note(s):p < 0.05, **p < 0.01, ***p < 0.001. The dependent variable is house prices (HP) in the first model and renovation per capita in the second model (ROT). The independent variables included are unemployment (unemp), the share of rental dwelling of total housing stock (rental), population density (density), urbanisation (urban), population (pop), income (inc), and income tax (tax). Municipality spending on culture per capita is the instrument variable for the endogenous variable house price, and the cost of housing construction (excluding the cost of land) is the instrument variable for renovation. All variables are transformed into a natural logarithm. The statistics for t are in parentheses. STATA 17 has been used. Commands: ivreg2, xtivreg, and hausman

Source(s): Secondary data from Statistics Sweden and calculations by the authors

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