Forecasting technology diffusion: a new generalisation of the logistic model

The present research proposes a new generalisation of the logistic model aiming at technology diffusion forecasting. Regarding criticisms and failures reported in the literature to apply logistic function for long-term forecasting, in our work we focused on short-term accuracy of forecast. To formulate the model, based on mathematical approximation, at first the differential equation governing the diffusion process is found and then by solving the derived differential equation, the forecast function is obtained. In all steps, mathematical tools from numerical analysis are used. We compared the New Generalized Logistic Model with eight of the most renowned models in the literature. The model led to more accurate fits and forecasts than those obtained from other models we applied for comparison.     

Health insurance reform: The impact of a Medicare buy-in

The steady-state general equilibrium and welfare consequences of a Medicare buy-in program, optional for those aged 55–64, is evaluated in a calibrated life-cycle economy with incomplete markets. Incomplete markets and adverse selection create a potential welfare improving role for health insurance reform. We find that adverse selection eliminates any market for a Medicare buy-in if it is offered as an unsubsidized option to individual private health insurance. The subsidy needed to bring the number of uninsured to less than 5 percent of the target population could be financed by an increase in the labor income tax rate of just 0.03–0.18 percent depending on how the program is implemented.     

多重委托代理下医生最优激励模型设计探究

"过度医疗"即指超过疾病实际需求的诊断和治疗的行为。医疗服务的特殊性,使患者、医生、监督方之间存在信息不对称和多重委托代理关系。鉴于此,从政府的第三方监督职能出发,将政府和患者作为共同委托人,避免政府与医院之间道德风险的发生,构建医生作为代理人的最优激励模型,并得出相关结论与启示。     

互联网支付平台跨业经营理财产品的模式和风险——以百度“百发”理财产品为例

互联网支付平台不断渗透金融领域,相继推出各类互联网金融理财产品,引起了互联网金融理财的新趋势.在对比分析常见互联网金融理财产品的基础上,以百度“百发”为案例,总结出互联网支付平台经营金融理财产品的一般模式,探讨互联网金融理财产品运作的风险控制问题以及其对传统金融理财机构的冲击和倒逼作用.     

A new look at variation in employment growth in Canada: The role of industry,provincial, national and external factors

We examine fluctuations in employment growth using Canadian data from 1976 to 2010. We consider a wide range of models and examine the sensitivity of our findings to modelling assumptions. The results from our most preferred model, which we selected using the Bayesian Information Criteria, indicate that most of the variance in employment growth that is not due to the idiosyncratic error comes from domestic sources, with most of this coming from industry and provincial factors. Overall, we find that external and national factors play a much smaller role in employment fluctuations than in earlier research. We provide some possible explanations for these differences and discuss the implications of our findings for public policy and theory.     

Robust influence diagnostics for generalized linear models with continuous responses

This article introduces two parametric robust diagnostic methods for detecting influential observations in the setting of generalized linear models with continuous responses. The legitimacy of the two proposed methods requires no knowledge of the true underlying distributions so long as their second moments exist. The performance of the two proposed influence diagnostic tools is investigated through limited simulation studies and the analyses of an illustration.     

A new assessment of economic integration in East Asia: Application of an industry-specific G-PPP model

It is well known that intra-industry trade and cross-border production networks have promoted economic growth and regional integration in East Asia. However, regional supply and production chains may have been formed differently across industries, reflecting different degrees and a different scope of regional economic linkages at an industry level. This paper makes a threefold contribution. First, to assess industry-level differences, this study adopts the generalized purchasing power parity (G-PPP) model using industry-specific producer prices. Second, the momentum threshold autoregressive (M-TAR) model is employed to allow for possible nonlinearity arising from the dynamic nature of regional economic growth and development. Third, the Granger causality test is also conducted to assess whether regional economies have autonomously integrated. The empirical results reveal that economic integration has progressed more autonomously in the electrical industry, as well as in the transportation equipment industry, as China and the ASEAN countries have become the final destination markets for finished products in these two industries.     

The effects of capacity reduction policy under the interest rate peg in China

Capacity reduction has been a recurrent theme in China's economic policy. The central government takes various administrative measures to remove excess capacity, accumulated mainly due to underpriced production factors and distorted incentives. I evaluate the de-capacity policy in a series of models and prove that its effects depend critically on its persistence and monetary policy regime. Under an interest rate peg, a transient policy that changes markup temporarily is ineffective and even expansionary, whereas a persistent policy is effective due to a negative wealth effect. A permanent de-capacity policy can lead to over-reactions in macro variables because the interest rate peg adds positive feedback to the economy. Therefore, the de-capacity policy has greater uncertainty under the interest rate peg. As a policy tool, it easily deviates from its target and brings about excessive volatility. However, long-run price stability and a gradually advanced de-capacity policy are conducive to the achievement of policy targets.     

Forecasting macroeconomic variables in emerging economies

Forecasting macroeconomic variables in rapidly changing emerging economies presents a number of challenges. In addition to structural changes, the time-series data are usually available only for a short number of periods, and predictors are available in different lengths and frequencies. Dynamic model averaging (DMA), by allowing the forecasting model to change dynamically over time, permits the use of predictors with different lengths and frequencies for the purpose of forecasting in a rapidly changing economy. This study uses DMA to forecast inflation and growth in Vietnam, Thailand, Philippines, Sri Lanka and Ghana. We compare its forecasting performance with a wide range of other time-series methods. We find that the size and composition of the optimal predictor set changed, indicating changes in the economic relationships over time. We also find that DMA frequently produces more accurate forecasts than other forecasting methods for both inflation and economic growth in the countries studied.