Persistence,mean reversion and non-linearities in the US housing prices over 1830–2013

The objective of this study is to provide a direct estimate of the degree of persistence of measures of nominal and real house prices for the US economy, covering the longest possible annual sample of data, namely 1830–2013. The estimation of the degree of persistence accommodates for non-linear (deterministic) trends using Chebyshev polynomials in time. In general, the results show a high degree of persistence in the series along with a component of non-linear behaviour. In general, if we assume uncorrelated errors, non-linearities are observed in both nominal and real prices, but this hypothesis is rejected in favour of linear models for the log-transformation of the data. However, if autocorrelated errors are permitted, non-linearities are observed in all cases, and mean reversion is found in the case of logged prices, though given the wide confidence intervals, the unit root null hypothesis cannot be rejected in these cases.     

Endorse or Not to Endorse: Understanding the Determinants of Newspapers’ Likelihood of Making Political Recommendations

This article investigates the determinants of newspapers’ provision for political opinion. I empirically examine the role of newspapers’ political preferences and market competition on newspapers’ decision to make endorsements. Regression results suggest that market competition turns newspapers more likely to make endorsements. Results from a simple model show that newspapers’ ideology determine their endorsements, making partisan papers more likely to make political recommendations and endorse challengers than non‐partisan newspapers.     

Long-term health economic benefits of sensor-augmented pump therapy vs continuous subcutaneous insulin infusion alone in type 1 diabetes: a UK perspective

Aims/hypothesis:

Continuous subcutaneous insulin infusion (CSII) is an important treatment option for type 1 diabetes patients unable to achieve adequate glycemic control with multiple daily injections (MDI). Combining CSII with continuous glucose monitoring (CGM) in sensor-augmented pump therapy (SAP) with a low glucose-suspend (LGS) feature may further improve glycemic control and reduce the frequency of hypoglycemia. A cost-effectiveness analysis of SAP?+?LGS vs CSII plus self-monitoring of blood glucose (SMBG) was performed to determine the health economic benefits of SAP?+?LGS in type 1 diabetes patients using CSII in the UK.

Methods:

Cost-effectiveness analysis was performed using the CORE diabetes model. Treatment effects were sourced from the literature, where SAP?+?LGS was associated with a projected HbA_1c reduction of ?1.49% vs ?0.62% for CSII, and a reduced frequency of severe hypoglycemia. The time horizon was that of patient lifetimes; future costs and clinical outcomes were discounted at 3.5% and 1.5% per annum, respectively.

Results:

Projected outcomes showed that SAP?+?LGS was associated with higher mean quality-adjusted life expectancy (17.9 vs 14.9 quality-adjusted life years [QALYs], SAP?+?LGS vs CSII), and higher life expectancy (23.8 vs 21.9 years), but higher mean lifetime direct costs (GBP 125,559 vs GBP 88,991), leading to an incremental cost-effectiveness ratio (ICER) of GBP 12,233 per QALY gained for SAP?+?LGS vs CSII. Findings of the base-case analysis remained robust in sensitivity analyses.

Conclusions/interpretation:

For UK-based type 1 diabetes patients with poor glycemic control, the use of SAP?+?LGS is likely to be cost-effective compared with CSII plus SMBG.     

Cost-effectiveness of continuous subcutaneous insulin infusion in people with type 2 diabetes in the Netherlands

Aims: Up to 30% of insulin-treated type 2 diabetes patients are unable to achieve HbA1c targets despite optimization of insulin multiple daily injections (MDI). For these patients the use of continuous subcutaneous insulin infusion (CSII) represents a useful but under-utilized alternative. The aim of the present analysis was to examine the cost-effectiveness of initiating CSII in type 2 diabetes patients failing to achieve good glycemic control on MDI in the Netherlands. Methods: Long-term projections were made using the IMS CORE Diabetes Model. Clinical input data were sourced from the OpT2mise trial. The analysis was performed over a lifetime time horizon. The discount rates applied to future costs and clinical outcomes were 4% and 1.5% per annum, respectively. Results: CSII was associated with improved quality-adjusted life expectancy compared with MDI (9.38 quality-adjusted life years [QALYs] vs 8.95 QALYs, respectively). The breakdown of costs indicated that ～50% of costs were attributable to diabetes-related complications. Higher acquisition costs of CSII vs MDI were partially offset by the reduction in complications. The ICER was estimated at EUR 62,895 per QALY gained and EUR 60,474 per QALY gained when indirect costs were included. Conclusions: In the Netherlands, CSII represents a cost-effective option in patients with type 2 diabetes who continue to have poorly-controlled HbA1c despite optimization of MDI. Since the ICER falls below the willingness-to-pay threshold of EUR 80,000 per QALY gained, CSII is likely to represent good-value for money in the treatment of poorly-controlled T2D patients compared with MDI.     

EQUIVALENCE SCALE SENSITIVITY OF POVERTY STATISTICS FOR THE MEMBER STATES OF THE EUROPEAN COMMUNITY

Using microdata from Household Budget Surveys of the Member States of the European Community, this paper examines the sensitivity of poverty statistics with respect to the choice of the equivalence scale. The results show that the ranking of the countries with respect to the overall poverty incidence is hardly affected when different equivalence scales are used. However, the composition of the poor population shows considerable changes when e.g. subjective equivalence scales are used instead of the OECD equivalence scale. The poverty incidence among specific household groups, such as single elderly and households with children, is particularly sensitive to the choice of the equivalence scale.     

Banks’ non-traditional activities under regulatory changes: impact on risk,performance and capital adequacy

Using the big six Canadian chartered banks quarterly financial statements and daily stock market data from 1982 to 2018, we examine the impact of non-interest income on Canadian banks’ risk, performance and capital under the different major regulatory changes made to the Bank Act of Canada. Our results show that Canadian banks’ expansion into non-traditional activities had slightly decreased their risks and significantly improved their performance benefitting from income diversification. Moreover, while adhering to capital adequacy regulation, reshuffling banks’ portfolio towards non-traditional activities did not reduce Canadian banks’ capital ratio. In spite of the re-regulation towards universal banking against ring-fencing, this feature buttresses the effectiveness of capital adequacy regulation in Canada in linking banks capital allocation with their risk taking.     

Migration consequences of welfare reform

We investigate whether recent changes in welfare policy affect the migration of low-educated unmarried mothers. Estimates indicate that welfare reform is associated with an increase in employment-related intrastate migration, and a decrease in non-employment related migration, both within and between states. The net effect was a small increase in intrastate migration and a small decrease in interstate migration. The close link between migration and employment suggests that welfare reform has motivated low-income women to move for economic reasons. In general, welfare policy appears to have a much larger effect on residential location because of its relationship to employment than because of benefit differences between states.     

GROWTH, POVERTY, AND INEQUALITY IN LATIN AMERICA: A CAUSAL ANALYSIS, 1970–94

Taking advantage of consistent poverty and income inequality data for 12 Latin American countries between 1970 and 1994, we analyze the determinants of changes in the incidence of urban and rural poverty and in Gini coefficients over spells of years, stressing in particular the role of aggregate income growth. We find that income growth reduces urban and rural poverty but not inequality. We also find that income growth is more effective in reducing urban poverty if the levels of inequality and poverty are lower, and the levels of secondary education higher. We show that there is an asymmetry in the impact of growth on poverty and inequality, with recession having strong negative effects on both poverty and inequality. Since growth does not reduce inequality, economic cycles create ratchet effects on the level of inequality. However, post-structural adjustment growth is quite effective at reducing poverty, particularly if inequality is low.     

Operational Research and the environment

The discipline of Operational Research (OR) is primarily concerned with improving the effectiveness and efficiency of decision processes. These processes take place everywhere in society: industry, banking, agriculture, government, politics. Frequent use of mathematical optimization models is typical of OR. Since the early '80s these models are increasingly packaged in a user-friendly way, as Decision Support Systems. In the following we will illustrate how OR can be used to describe and solve a number of environmental problems.