Migration,Ethnicity, and the Educational Gradient in the Jakarta Mega-Urban Region: A Spatial Analysis

The Jakarta mega-urban region (MUR) is one of the largest such regions in the world. In this article, we revisit Castles’s seminal 1967 article, based on the 1961 Population Census of Indonesia, on the educational and ethnic composition of Jakarta. Using data from the full-count 2010 Population Census, we examine spatial patterns in the educational gradients of the population across the Jakarta MUR and look to determine whether these patterns can be explained by internal migration and ethnic composition at the kecamatan (subdistrict) level. We find that population movement from the core to the outer areas has softened the historically extremely sharp gradation in educational attainment across the MUR. We show the dominance of the Sundanese and Bantenese ethnic groups in the rural hinterlands of the MUR, where the average educational attainment is relatively low, and note this question of rurality versus ethnicity when interpreting our results.     

A Population Projection for Indonesia, 2010–2035

In the context of its long-term planning, from time to time the Indonesian government publishes an official population projection. The latest projection was released on 29 January 2014. In this article, I describe and evaluate the methods and assumptions used to produce the projection, and provide key results.     

The relative efficiency of king's,ecclesiastical, and lay estates in Domesday Essex, 1086

In the Domesday survey of 1086, information on the inputs and output of most production units in the English economy was carefully collected by questionnaire survey and verified in court. In this paper, Essex estate data are used to assess whether similar production functions describe production for the three major classes of production unit in the economy – king's, ecclesiastical, and lay estates. A data envelopment analysis is undertaken to determine whether production on one class of estate was more efficient than on the others. The evidence suggests that production processes and management performance were similar on the three classes of estate.     

Dynamical clustering of exchange rates

We use techniques from network science to study correlations in the foreign exchange (FX) market during the period 1991–2008. We consider an FX market network in which each node represents an exchange rate and each weighted edge represents a time-dependent correlation between the rates. To provide insights into the clustering of the exchange-rate time series, we investigate dynamic communities in the network. We show that there is a relationship between an exchange rate's functional role within the market and its position within its community and use a node-centric community analysis to track the temporal dynamics of such roles. This reveals which exchange rates dominate the market at particular times and also identifies exchange rates that experienced significant changes in market role. We also use the community dynamics to uncover major structural changes that occurred in the FX market. Our techniques are general and will be similarly useful for investigating correlations in other markets.     

The effect of information releases on the pricing and timing of equity issues

With time-varying adverse selection in the market for new equityissues, firms will prefer to issue equity when the market ismost informed about the quality of the firm. This implies thatequity issues tend to follow credible information releases.In addition, if the asymmetric in information increases overtime between information releases, the price drop at the announcementof an equity issue should increase in the time since the lastinformation release. Using earning releases as a proxy for informativeevents, we find evidence supporting these propositions.     

Review of Categorical Models for Classification Issues in Accounting and Finance

Recent studies have extensively used the logit or probit models for classification problems in accounting and finance. More than 289 articles in prestigious journals have used these or similar methods from 1989 through 1996. This paper reviews several categorical techniques and compares the performance of logit or probit with alternative procedures. Intuitive and mathematical explanations of how the models examined differ in terms of underlying assumptions and other attributes are provided. The alternative techniques are applied to two substantive research questions: predicting bankruptcy and auditors' consistency judgements. Four empirical criteria provide some evidence that the exponential generalized beta of the second kind (EGB2), lomit, and burrit (all new to the accounting and finance literature) improve the log-likelihood functions, and the explanatory power, compared with logit and other models. EGB2, lomit and burrit also provide significantly better classifications and predictions than logit and other techniques.     

Does Order Flow Commonality Extend Across Trade Sizes and Securities?

We examine commonality in order imbalances across different types of securities and find that the extent of commonality is greater than previously documented. Order imbalances in portfolios of small stocks, large stocks, and closed-end funds have explanatory power for other portfolio returns even in the presence of own order flow. Our analysis of order flow composition reveals commonality in small and medium trades, but not in large trades, across portfolios. The activity from small-size trades is systemic, but not generally associated with returns on other securities. Order imbalances from larger size trades provide more information relevant to stock prices.