Regional differences in personal savings

Green, Francis; Hadjimatheou, George

doi:10.1080/00036849000000031

Cited by 8 publications

(9 citation statements)

References 16 publications

(15 reference statements)

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“…Furthermore, in accordance with earlier studies, the average propensity to save is neither uniform over time nor between regions (Green and Hadjimatheou 1990;Marchante and Ortega 1998). This implies that the national saving rate is, in every period, a weighted average of different regional propensities to save.…”

Section: Introductionsupporting

confidence: 90%

Regional differences in personal saving rates in Spain

Marchante¹,

Ortega²,

Vilches³

2001

Papers Reg Sci

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The aim of this article is to analyze, from an aggregate perspective, the differences in personal saving rates among the Spanish regions at the NUTS II level from 1986 to 1994. In accordance with the postulates of the life cycle hypothesis, we present the main economic determinants for personal saving rates obtained from an aggregate personal saving model. Correcting for temporal and spatial dependence in the empirical model, the analysis suggests the existence of a significant and negative relationship between aggregate personal saving rates and wealth, access to credit and direct tax burdens. Likewise, a nearly significant positive relationship between personal saving rates and per capita gross disposable personal income has been detected.JEL classification: E21, R15, R29

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Section: Introductionsupporting

confidence: 90%

Regional differences in personal saving rates in Spain

Marchante¹,

Ortega²,

Vilches³

2001

Papers Reg Sci

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“…The data on wages and salaries are published only from 1984. Between 1984 and1990, there are only small differences in the regional differentials from the two sources and after 1990 the two are virtually indistinguishable.…”

Section: F422mentioning

confidence: 90%

“…Multiplying this by the number of employees in the South East using the model discussed in footnote 12, and dividing by the population resident in the South East, gives per capita earnings. studies of the regional consumption function (for example, Green and Hadjimatheou, 1990, Bayoumi, 1993, and Carruth and Henley, 1993. As we have shown, these income data give a seriously misleading picture of changing regional income differentials.…”

Section: Consequences and Conclusionmentioning

confidence: 92%

“…Between 1979 and1990, the Inland Revenue were unable to locate the region of residence for around 12% of the 1% sample of tax records used to distribute national estimates of income from employment and wages and salaries across the regions. The data suggest that a disproportionate fraction of these unallocated records were in the South East, so resulting in an underestimate of earners in the South East.…”

Section: Consequences and Conclusionmentioning

confidence: 99%

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Data Feature: Earnings Biases in the United Kingdom Regional Accounts: Some Economic Policy and Research Implications

Cameron¹,

Muellbauer²

2000

The Economic Journal

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Between the late 1970s and late 1980s, the UK Regional Accounts data suggest a much smaller rise in the South East earnings premium and consequently a much smaller increase in the regional dispersion of earnings than do the other sources of data. We discuss several possible explanations for this discrepancy and conclude it was probably due to problems at the Inland Revenue in allocating tax records across the regions. The historical unreliability of the Regional Accounts has implications for economic research on regional consumption and convergence and may have caused the poorest regions to miss out on EU Structural Funds. the editor and anonymous referee for helpful comments. We take full responsibility for any errors.1 Under the 1989±93 and 1994±9 European Community Structural Funds regulations, regions at NUTS level II whose per capita GDP, in a three year qualifying period which is typically four years before the funding period, is less than 75% of the Community average receive Objective I status and funding.

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“…on the personal savings ratio (Green and Hadjimatheou, 1990). Also regional differences in house price inflation may lead to labour migration across regions (Muellbauer and Murphy, 1989).…”

mentioning

confidence: 98%