A study on financial opportunity costs of growing local varieties of sorghum in Ethiopia: Implications for on-farm conservation policy

The increasing interest in on-farm conservation is driven by its diverse attractive features — its participatory nature and its flexible and dynamic features; its capacity to maintain not only crop diversity but the knowledge that evolves with it; and the chance it offers to link conservation with utilization and farmers' livelihoods. To implement this strategy on a sustainable basis, policy incentives are crucial. This paper argues that opportunity costs farmers face have a role to play to design sound policy incentives. Taking sorghum as an example, opportunity costs have been examined in this paper using data collected from 198 farmers in Eastern Ethiopia. The average opportunity costs suggest the size of the required policy incentives and they are the basis to estimate the national conservation costs for on-farm conservation. The regression analysis shows that opportunity costs increase with access to output markets and extension, output price, access to input supply, experience in growing improved varieties, and the relative importance of the crop. On the contrary, plot quality, input price, and oxen ownership are reducing the opportunity costs. The paper then concludes outlining the policy implications of the empirical findings to incentive design for on-farm conservation.     

Asymmetric adjustment costs and the dynamics of housing supply

This paper examines aggregate dynamics on the supply side of the housing market. The representative firm's intertemporal profit maximisation problem is considered under asymmetric adjustment costs. The hypothesis of asymmetric adjustment costs is also examined empirically using Irish data. Several interesting insights into the dynamics of housing supply are uncovered. These include support for the proposition that the adjustment costs of expanding housing output are greater than those associated with a contraction, evidence of threshold points beyond which adjustment starts to speed up and also the existence of a continuum of equilibria between these thresholds where no adjustment occurs at all.     

Optimal investment and consumption with return predictability and execution costs

We provide a closed-form solution to an optimal investment and consumption problem for a constant absolute risk aversion (CARA) agent, who faces execution costs when trading correlated risky assets with return predictability. The optimal investment strategy indicates that the agent should trade gradually toward a dynamic aim portfolio, which is an adjusted Merton portfolio with modifications to account for the persistence of the return-predicting signals and the execution costs. The optimal consumption strategy is quadratic in the return-predicting signals and linear in the agent's wealth. Our numerical studies show that the execution costs diminish the importance of asset return predictability on the agent's optimal investment strategy, thereby confirming the conjecture raised by Liu (2004). In addition, the presence of the intermediate consumption leads to a more aggressive aim portfolio than the case without consumption.     

Estimating switching costs after introducing Fixed-Mobile Convergence in Japan

In this study, based on a conjoint-type survey analysis, the switching cost of several Japanese telecom services are empirically examined simultaneously, contingent on each carrier’s bundling strategies. The results suggest the following conclusions. The hierarchy of switching costs is mobile phone service, fixed phone service, ISP (Internet Service Provider), and broadband access service, in descending order. Even if the government prohibits the formerly state-owned monopoly NTT from forming alliances with other carriers, the legacy NTT group would still command more than half of the market share under FMC if each carrier adopts a pure bundling strategy. If mixed bundling emerges as the primary strategy in the FMC market, the resulting type of competition from the introduction of FMC does not stimulate competitive pricing.     

Estimating fundamental and affordable housing price trends: a study based on Singapore

Policy-makers often impose some cooling measures on the housing market when housing prices rise fast. Such policies yield limited success if housing prices are driven up by fundamentals. Estimating a fundamental price trend from observed price data is a challenge. We present an empirical methodology to separate housing price trends into fundamental and affordable components. Deviating from the common practice, we replace current income by a long-run income measure constructed from household incomes at different quantiles. This income measure provides a more suitable basis for constructing affordable house price levels. It also serves as a better fundamental variable, especially for segmented housing markets like that of Singapore. These price trends provide policy-makers with useful information to intervene into property markets to achieve desirable outcomes. Analysing Singapore data using this methodology shows the magnitudes of the price gaps between actual and fundamental prices and how housing affordability fluctuates over price cycles.     

The impact of frailty on the economic evaluation of geriatric surgery: hospital costs and opportunity costs based on meta-analysis

Abstract

Objectives: We used a systematic review and meta-analysis to analyze the difference in costs between surgery for frail and non-frail elderly patients. The opportunity cost of frailty in geriatric surgery is estimated using the results.

Methodology: Two literature reviews were carried out between 2000 and 2019: (1) studies comparing total hospital costs of frail and non-frail surgical patients; (2) studies evaluating the length of hospital stay and cost for surgical geriatric patients. We performed a meta-analysis of the items selected in the first review. We subsequently calculated the opportunity cost of frail patients, based on the design of a cost/time variable.

Results: Twelve articles in the first review were selected (272,717 non-frail and 16,461 frail). Fourteen articles were selected from the second review. Frail patients had higher hospital costs than non-frail patients (22,282.541 € and 16,388.844, p?<?.001) and a longer hospital stay (10.16 days and 8.4 (p?<?.001)). The estimated opportunity cost in frail patients is 1,019.56 € (cost/time unit factor of 579.30 €/day).

Conclusions: Frail surgical geriatric patients generate a higher total hospital cost, and an opportunity cost arising from not operating in the best possible state of health. Preoperatively treating the frailty of elderly patients will improve the use of health resources     

Ranking opportunity sets in a simple intertemporal framework

We extend the problem of ranking subsets (opportunity sets) of a set of alternatives to an intertemporal setting, whereby the agent makes a sequence of choice decisions over time. In particular, we show in a simple two-period model that an agent who satisfies five plausible axioms ranks opportunity sets in a lexicographic fashion. That is, the agent ranks opportunity sets based solely on the relative desirability of their first-period alternatives, and only if the first-period alternatives are thought equally desirable does the agent consider the second-period alternatives. We discuss this strong time-discounting result and the role of the axioms, and also show that the popular “independence” axioms employed in the existing “static” literature are inconsistent with some reasonable axioms regarding intertemporal choice.      

Challenges of responding to sustainability with implications for affordable housing

Sustainability is one of the most contested ideologies of our time because everyone acknowledges that it must occur but no one can agree on what needs to change in response. This is unsurprising, because objecting to the goal of sustainability is like objecting to other inherently good goals like peace or freedom. Responses to sustainability exist on a long continuum, with some interpreting sustainability to mean conservation-at-all-costs and reduced economic growth, while others suggest that the market will ensure sustainable outcomes eventually result. Further, sustainability can be easily manipulated to justify predetermined outcomes. There are, indeed, a multitude of conceptual and pragmatic challenges to operating on sustainability, particularly when the scale shifts from a global goal to local action. Using the application of sustainability to affordable housing in Australia as a case study, this article argues that rather than limiting sustainable outcomes, the existence of the sustainability debate which focuses on the many challenges is a positive indicator that sustainability may be attainable.     

Reduction in hospital costs and resource consumption associated with the use of advanced topical hemostats during inpatient procedures

Abstract

Objective:

The use of hemostatic agents has increased over time for all surgical procedures. The purpose of this study was to evaluate the newer topical absorbable hemostat products Surgicel Fibrillar and Surgicel SNoW (Surgicel advanced products, abbreviated as SAPs) compared to the older product Surgicel Original (SO) with respect to healthcare resource use and costs in procedures where these hemostats are most commonly used.     

Impact of government intervention in the housing market: evidence from the housing purchase restriction policy in China

In 2010, a housing purchase restriction policy was announced by China’s central government and implemented gradually by several prefecture governments. In this article, we empirically investigate this policy’s effect on the housing market. Using a difference-in-difference framework, we show that the housing purchase restriction policy reduces housing prices and transaction amounts but does not influence the housing investment or construction markets. Moreover, upstream industry suffers more than downstream industry. The results are robust to a battery of robustness checks. Heterogeneity exists across cities. We find that first- and second-tier cities as well as highly urbanized cities experience great declines in housing prices after the policy’s implementation, especially cites that had high housing prices in 2010 and cities with high real estate investment as a proportion of fixed asset investment. However, the housing policy is less effective in curbing speculative demand.     

Relationships among regional housing markets: Evidence on adjustments of housing burden

High regional house prices relative to income may result in residents moving to other regions with lower housing burden; this generates relationships among regional housing markets. From this perspective, this study employed Markov-switching models to examine housing affordability in 10 regional housing markets in the UK. The results show that levels of housing burden among regions are related, thereby proving that a high cost of housing burden in one region may result in residents buying houses in other regions. Moreover, this study found that house prices in most regions tend to converge with income levels but are asymmetric within the period of convergence. Specifically, because the period of high housing loans lasts longer, and vice versa, housing demand increases as soon as house prices drop. Thus, periods of “inexpensive” house prices do not last long. This paper explains why living costs in different regions are related, and proposes that housing demands may have asymmetric reactions when house prices are too high or too low.     

Current and projected patient and insurer costs for the care of patients with non-small cell lung cancer in the United States through 2040

Aims: The objective of this study was to quantify the current and to project future patient and insurer costs for the care of patients with non-small cell lung cancer in the US.

Materials and methods: An analysis of administrative claims data among patients diagnosed with non-small cell lung cancer from 2007–2015 was conducted. Future costs were projected through 2040 based on these data using autoregressive models.

Results: Analysis of claims data found the average total cost of care during first- and second-line therapy was $1,161.70 and $561.80 for patients, and $45,175.70 and $26,201.40 for insurers, respectively. By 2040, the average total patient out-of-pocket costs are projected to reach $3,047.67 for first-line and $2,211.33 for second-line therapy, and insurance will pay an average of $131,262.39 for first-line and $75,062.23 for second-line therapy.

Limitations: Claims data are not collected for research purposes; therefore, there may be errors in entry and coding. Additionally, claims data do not contain important clinical factors, such as stage of disease at diagnosis, tumor histology, or data on disease progression, which may have important implications on the cost of care.

Conclusions: The trajectory of the cost of lung cancer care is growing. This study estimates that the cost of care may double by 2040, with the greatest proportion of increase in patient out-of-pocket costs. Despite the average cost projections, these results suggest that a small sub-set of patients with very high costs could be at even greater risk in the future.     

保障房融资问题与解决对策

我国保障性住房建设近几年发展迅速,并取得了很大的成就。但保障性住房建设中资金的问题一直以来都是阻碍保障房建设的重大问题,因此,针对这些问题提出解决我国保障房融资问题的建议。     

Behavioral heterogeneity in the Australian housing market

We propose a heterogeneous agent model (HAM) of four groups of investors with Markov chain regime-dependent beliefs for the housing market. Within the Markov switching framework, we take into account how heterogeneous investors shift their trading behaviour in response to changes in housing market conditions. The model is estimated and compared with the benchmark rational expectation models using the Australian housing market data from 1982Q1 to 2013Q2. We find evidence of within- and between-group heterogeneity in the Australian housing market. We show that HAM with Markov switching beliefs provides a better in-sample estimation efficiency and outperforms the conventional rational expectation models in terms of out-of-sample prediction.     

Modelling the housing market in OECD countries

Recent episodes of housing bubbles, which occurred in several economies after the burst of the United States housing market, suggest studying the evolution of housing prices from a global perspective. We utilise a theoretical model for the purposes of this contribution, which identifies the main drivers of housing price appreciation, such as, for example, income, residential investment, financial elements, fiscal policy and demographics. In a second stage of our analysis, we test our theoretical hypothesis by means of a sample of 18 OECD countries from 1970 to 2011. We employ the vector error correction econometric technique in terms of our empirical analysis, which permits us to model the long-run equilibrium relationship and the short-run dynamics, which also helps to account for endogeneity and reverse causality problems.     

Floor-level premiums in private housing: the case of condominiums in Singapore

Using a sample consists of 3367 actual condominium sales transacted in resale market from May 2012 to April 2015 from the Singapore Urban and Redevelopment Authority, a hedonic pricing model is used to investigate for the presence of floor-level premiums in the private housing market, condominium, in District 23 of Singapore. Unit size, types of land tenure and the distance to the nearest mass rapid transit (MRT) station are also used as other independent variables. The estimated coefficient of each of these independent variables is statistically significant. Each of these independent variables also has positive estimated coefficient, suggesting that they have positive effects on condominium resale prices. Main findings are (a) there is a presence of floor-level premium; (b) the condominiums with a distance more than 400 m to the MRT station get higher resale prices; and (c) there is an increasing effect of floor level on condominium price.     

Expectations and the housing market: A model of house price dynamics

We examine the characteristics of housing markets under adaptive and heterogeneous expectations. Model agents have finite horizons, and their borrowings are constrained by the collateral value of housing stock. Our model shows that expectation-driven housing price dynamics constantly change the direction of movement. The steady-state process of housing prices follows an endogenous oscillation process, and the magnitude of the cycles can be amplified by external shocks. Our quantitative results imply that (i) short-term positive and long-term negative serial correlations in housing price changes are inherent, (ii) house prices and expected house price movements are positively correlated, and (iii) fluctuations in housing prices are not fully explained by fundamentals.     

The external cost of asbestos in the housing market

This study uses a Generalized Method of Moments spatial error hedonic model to estimate the potential impact of asbestos on residential property prices. The analysis examines a large sample of 32,403 housing sales occurring between 2008 and 2015 in a fast-growing Coastal Alabama region. Results indicate the presence of asbestos depreciates house values by 13.44%, translating into an external cost of approximately $25,300 per property.     

Transformation bias in the costs and benefits of housing subsidies

This note investigates the importance of testing the validity of the Hicks-neutral technical progress assumption in the context of examining the substitutability or complementarity between capital, labour and energy in the UK industrial sector, It is found that the hypothesis of neutral technical progress must be rejected in favour of the non-neutral hypothesis: with technical progress thus biased to using both capital and energy but to saving labour. In addition, it is found that all three factors are substitutable for one another when non-neutral technical progress is modelled.