Money for nothing: The dire straits of medical practice in Delhi,India

The quality of medical care received by patients varies for two reasons: differences in doctors' competence or differences in doctors' practice. Using medical vignettes, we evaluated competence for a sample of doctors in Delhi. One month later, we observed the same doctors in their practice. We find three patterns in the data. First, doctors do less than what they know they should do. Second, the more competent the doctor, the greater the effort exerted. Third, competence and practice diverge in different ways in the public and private sectors. Urban India pays a lot of “Money for Nothing”: in the private sector there is a lot of expenditure on unnecessary drugs. In the public sector, education subsidies and salary payments translate into little (and in small clinics, very little) effort and care. Provider training has a small impact on the actual quality of advice; under the circumstances, awareness campaigns to create a more informed clientele may be the best option.     

Variance-ratio Statistics and High-frequency Data: Testing for Changes in Intraday Volatility Patterns

Variance-ratio tests are routinely employed to assess the variation in return volatility over time and across markets. However, such tests are not statistically robust and can be seriously misleading within a high-frequency context. We develop improved inference procedures using a Fourier Flexible Form regression framework. The practical significance is illustrated through tests for changes in the FX intraday volatility pattern following the removal of trading restrictions in Tokyo. Contrary to earlier evidence, we find nodiscernible changes outside of the Tokyo lunch period. We ascribe the difference to the fragile finite-sample inference of conventional variance-ratio procedures and a single outlier.     

Walk or wait? An empirical analysis of street crossing decisions

We examine the behaviour of pedestrians wishing to cross a stream of traffic at signalized intersections. We model each pedestrian as making a discrete crossing choice by comparing the gaps between vehicles in traffic to an individual‐specific ‘critical gap’ that characterizes the individual's minimal acceptable gap. We propose both parametric and nonparametric approaches to estimate the distribution of critical gaps in the population of pedestrians. To estimate the model, we gather field data on crossing decisions and vehicle flows at three intersections in New Delhi. The estimates provide information about heterogeneity in critical gaps across pedestrians and intersections, and permit simulation of the effect of changes in traffic light sequences on pedestrian crossing behaviour and waiting times. Copyright © 2005 John Wiley & Sons, Ltd.     

International Joint Venture And Host-Country Policies

In the presence of international joint ventures, effects of policies like foreign equity cap, trade protection and domestic resource requirement restriction towards equity sharing and welfare are analysed. Foreign equity cap reduces host country's welfare. Trade protection lowers equity share for the local firm. It has a first-order source of welfare gain as the internal efficiency of the firm improves. Also, there is a first-order loss resulting from a leakage effect, since a part of the surplus goes to a foreign firm. A marginal domestic resource requirement restriction enhances the joint surplus of the venture and social welfare.     

Efficient paired choice designs with fewer choice pairs

For paired choice experiments, two new construction methods of designs are proposed for the estimation of the main effects. In many cases, these designs require about 30–50% fewer choice pairs than the existing designs and at the same time have reasonably high D-efficiencies for the estimation of the main effects. Furthermore, as against the existing efficient designs, our designs have higher D-efficiencies for the same number of choice pairs.     

Government financial statistics and accounting in Europe: is ESA 2010 improving convergence?

This paper provides an empirical analysis of the impact of ESA 2010 on EU member states, looking at countries both individually and as a whole and analysing the global impact of the adjustments and the partial impacts of each category. Changing the system of national accounts has introduced conceptual and methodological changes, but there has not been any significant variation in the convergence/divergence between government financial statistics and budgetary accounting in reporting deficits. The effect on the deficits reported by individual member states was quite marked however.     

Coherent forecasting for count time series using Box–Jenkins's AR(p) model

During the last three decades, integer‐valued autoregressive process of order p [or INAR(p)] based on different operators have been proposed as a natural, intuitive and maybe efficient model for integer‐valued time‐series data. However, this literature is surprisingly mute on the usefulness of the standard AR(p) process, which is otherwise meant for continuous‐valued time‐series data. In this paper, we attempt to explore the usefulness of the standard AR(p) model for obtaining coherent forecasting from integer‐valued time series. First, some advantages of this standard Box–Jenkins's type AR(p) process are discussed. We then carry out our some simulation experiments, which show the adequacy of the proposed method over the available alternatives. Our simulation results indicate that even when samples are generated from INAR(p) process, Box–Jenkins's model performs as good as the INAR(p) processes especially with respect to mean forecast. Two real data sets have been employed to study the expediency of the standard AR(p) model for integer‐valued time‐series data.     

Short–run electricity demand forecasts in Maharashtra

This paper, has tried to forecast monthly maximum electricity demand for the state Maharashtra, India, using Multiplicative Seasonal Autoregressive Integrated Moving Average (MSARIMA) method for seasonally unadjusted monthly data spanning from April 1980 to June 1999. The forecasted period is 18 months ahead from June 1999. This study's basic findings are that the series does not reveal any drastic change for the forecasted period. It continues to follow the same trend along with the seasonal variation.     

International Productivity Differences and the Roles of Domestic Investment,FDI and Trade

This paper calculates Theil's entropy index to measure the extent of productivity differences across 92 countries for the period from 1970 to 2003. While there is evidence of increasing differences in productivity across these countries, we observe different patterns when we group the countries by income levels. These differences seem to be decreasing among middle income developing and developed countries, whereas they seem to be widening among low and high income developing countries. The results of our multivariate time series analysis also suggest that FDI increases productivity differences among low and high income developing countries, whereas GDI reduces these differences among low income countries in the long-run. Granger causality test results indicate that while an increase in GDI leads to a decline in growth of trade, a higher growth of trade appears to be important for attracting FDI to middle income countries. Furthermore, a reduction in productivity differences and a higher FDI growth lead to higher growth of trade in developed countries.     

Strategic loan modification: An options-based response to strategic default

This paper presents a parsimonious barrier model for the optimal principal reset in a loan modification, thereby maximizing the loan value to the lender bank and minimizing the likelihood of strategic foreclosure by the homeowner. Writing down the loan-to-value (LTV) ratio will reduce the present value of future payments on the loan, but will also reduce the probability of default, thereby saving foreclosure losses. The optimal trade-off of these two countervailing effects will pinpoint the optimal LTV at which the loan must be reset. We present a simple barrier option decomposition of the loan value that makes the optimization of LTV easy to implement. An extension of the model is shown to account for varying growth rate assumptions about house prices. The model in this paper specifically accounts for the homeowner’s willingness to pay, and uses the framework to model shared-appreciation mortgages (SAMs).