The socioeconomic impact of low-income housing programs: An interregional input-output model for the state of Sao Paulo and the rest of Brazil

Campos, Rodger Barros Antunes; Guilhoto, Joaquim José Martins

doi:10.1016/j.habitatint.2017.04.001

Cited by 17 publications

(12 citation statements)

References 22 publications

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“… Notes : the generators were calculated by Campos and Guilhoto () using input–output tables from 2009. We use US$ 74,307,699 (in houses) or US$ 108,224,166 (in apartments) as initial shock and the total effected household stemmed from econometric estimation.…”

Section: Final Remarksmentioning

confidence: 99%

“…This process accelerated since 1950 with the rural exodus, the acceleration of industrialization, and the fast population growth in Brazil in the period, which required the expansion of housing supply (de Mello & Novais, ; Santos, ). After 1964, in view of creating a national housing programme, the Federal Government stimulated the creation of the National Housing Bank (BNH) and the Guarantee Housing Fund for Employee (FGTS) as funding resources to confront the housing deficit and increase home‐ownership growth rate for low‐income households (Campos & Guilhoto, ; Yoshimura, ).…”

Section: São Paulo's Public Housing Policies and Earmarking Mechanismmentioning

confidence: 99%

“…Using Campos and Guilhoto () generators, we are able to estimate the total impact on macroeconomic variables (employment level, GDP, tax collection and production). The authors define six typologies for low‐income housing, according to the input purchase and production factors payment.…”

Section: Final Remarksmentioning

confidence: 99%

See 2 more Smart Citations

The decision on unconstitutionality of earmarking and its impact on the housing access: Evidence from São Paulo State, Brazil

Campos¹,

Serra

2020

Regional Science Policy & Practice

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In September of 1997 the Brazilian Supreme Court ruled unconstitutional the earmarking of tax revenues to public housing programme that was practised by the Government of the State of São Paulo. We explore this decision as an exogenous experiment to identify the impact of the earmarking prohibition on public housing deficit. We take advantage of the fact that the decision only affected the provision of public housing to households below a specific income threshold and estimate a difference‐in‐difference empirical model with probit estimators. Our results suggest that low‐income individuals faced an average decrease of 4.5% in the probability of living in a housing deficit condition after earmarking was revoked.

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Section: Final Remarksmentioning

confidence: 99%

Section: São Paulo's Public Housing Policies and Earmarking Mechanismmentioning

confidence: 99%

See 1 more Smart Citation

The decision on unconstitutionality of earmarking and its impact on the housing access: Evidence from São Paulo State, Brazil

Campos¹,

Serra

2020

Regional Science Policy & Practice

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show abstract

“…If the housing prices are unaffordable by most citizens, it is excruciating and significantly impacts living quality [21][22][23]. A large proportion of household income is taken by housing properties, and the high housing prices limit the access of city population to the good living environment [24]. The unequal resources distribution, inadequate regional development, and political issues significantly affect socio satisfaction [25,26].…”

Section: Housing Security In Sustainable Urban Developmentmentioning

confidence: 99%

Exploring the Trend of New Zealand Housing Prices to Support Sustainable Development

2019

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The New Zealand housing sector is experiencing rapid growth that has a significant impact on society, the economy, and the environment. In line with the growth, the housing market for both residential and business purposes has been booming, as have house prices. To sustain the housing development, it is critical to accurately monitor and predict housing prices so as to support the decision-making process in the housing sector. This study is devoted to applying a mathematical method to predict housing prices. The forecasting performance of two types of models: autoregressive integrated moving average (ARIMA) and multiple linear regression (MLR) analysis are compared. The ARIMA and regression models are developed based on a training-validation sample method. The results show that the ARIMA model generally performs better than the regression model. However, the regression model explores, to some extent, the significant correlations between house prices in New Zealand and the macro-economic conditions.

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“…If the housing prices are unaffordable by most citizens, it is excruciating and significantly impacts living quality [15][16][17]. A large proportion of household income is taken by housing properties, and the high housing prices limit the access of city population to the good living environment [18]. The unequal resources distribution, inadequate regional development, and political issues significantly affect socio satisfaction [19,20].…”

Section: Housing Securities In Sustainable Urban Developmentmentioning

confidence: 99%

Exploring the Trend of New Zealand Housing Prices to Support Sustainable Development

Zhao¹,

Mbachu²,

Liu³

2019

Preprint

View full text Add to dashboard Cite

The New Zealand housing sector is experiencing rapid growth that boosts the national economy but also results in the loss of valuable resources. In line with the growth, the housing market for both residential and business purposes has been booming, as have house prices. To sustain the housing development, it is critical to accurately monitor and predict housing prices so as to support the decision-making process in housing sector. This study is devoted to applying a mathematical method to predict housing prices. The forecasting performance of two types of models: ARIMA and multiple linear regression analysis are compared. The ARIMA and regression models are developed based on a training-validation sample method. The results show that the ARIMA model generally performs better than the regression model. However, the regression model explores, to some extent, the significant correlations between house prices in New Zealand and the macro-economic conditions.

show abstract

The socioeconomic impact of low-income housing programs: An interregional input-output model for the state of Sao Paulo and the rest of Brazil

Cited by 17 publications

References 22 publications

The decision on unconstitutionality of earmarking and its impact on the housing access: Evidence from São Paulo State, Brazil

The decision on unconstitutionality of earmarking and its impact on the housing access: Evidence from São Paulo State, Brazil

Exploring the Trend of New Zealand Housing Prices to Support Sustainable Development

Exploring the Trend of New Zealand Housing Prices to Support Sustainable Development

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