Ranking of sectors based on fuzzy importance measure

The changing nature of policy variables specific to any planned developmental programme often leads to conflicting decisional problems regarding the identification of thrust areas. Hence the inherent requirement is for a composite index which eases out such ambiguous choice issues. The present paper introduces the measure of sectoral importance which is capable of encompassing different variables with their associated weights and ranks sectors in an economy based on such a measure. However, the term importance suggests the qualitativeness and subjectivity involved in defining such a concept and thus establishes the need for the concepts of fuzzy mathematics. The theory of fuzzy subsets is capable of dealing with qualitative variables within a quantitative framework. The sectoral importance measures derived from the sectoral output linkages, employment multipliers and value added multipliers, have been represented as fuzzy subsets, or to be precise, as fuzzy numbers. A comparison of these numbers through the binary approach of determination of the measure of relative strength provides the basis for the ranking of sectors. The novelty of the approach lies in its simplicity and flexibility in treating qualitative factors which characterise most decision support socio economic planning problems. The validity of the exercise has been tested by applying it to the economy of West Bengal, a State of India.     

Who else is bidding? The Pareto optimality of disclosing bidder identities

This paper examines whether the seller of an object should reveal the identities of the participating bidders before bids become due. It is shown that when bidders experience identity dependent externalities and auction participation is exogenous, then for a large class of standard auction mechanisms, a policy of revelation serves to realize a higher surplus because it improves the accuracy of each bidder's estimate of her ex-post willingness-to-pay, and therefore changes the auction allocation in a more ex-post efficient manner. Furthermore, it is shown that the policy of revelation increases both the expected seller revenues as well as ex-ante expected bidder payoffs. Received: 4 February 2000 / Accepted: 15 November 2000 An earlier version of this paper had the title 'Disclosure of Bidder Identities'. I thank an anonymous referee and an Associate Editor for suggestions that improved the paper. I also acknowledge comments made by participants of the Auctions session during the North American Winter Meetings of the Econometric Society 2001 held in New Orleans. I remain solely responsible for any errors.     

Water pollution by industrial effluents in India: Discharge scenarios and case for participatory ecosystem specific local regulation

Around the world as countries are struggling to arrive at an effective regulatory regime to control the discharge of industrial effluents into their ecosystems, Indian economy holds a double edged sword of economic growth and ecosystem collapse. This situation if mishandled can cause irreparable ecological harm in the long term well masked by short term economic prosperity. Considering that Industries comply with environmental regulations based on the level of enforcement and their ability to spend for waste treatment, this paper endeavours to sketch probable industrial effluent discharge scenarios under various market-enforcement conditions and proposes possible strategies for effective regulatory regime in India. The authors point out that as India moves towards stricter regulation of industrial effluents to control water pollution greater efforts are required to reduce the risk to public health as toxic pollutants which are mainly colourless and odourless can be expected to be released into the ecosystems. Examples of emerging cases like Tiruppur and Plachimada are presented to assert that ecosystem specific discharge standards is the solution and local communities are ready to participate in environmental decision making to safeguard their resources.     

Macroeconomic cycles and the stock market’s reaction to monetary policy

This paper examines cyclical variation in the effect of Fed policy on the stock market. We find a much stronger response of stock returns to unexpected changes in the federal funds target rate in recession and in tight credit market conditions. Using firm-level data, we also show that firms that face financial constraints are more affected by monetary shocks in tight credit conditions than the relatively unconstrained firms. Overall, the results are consistent with the credit channel of monetary policy transmission.     

Change-point analysis through integer-valued autoregressive process with application to some COVID-19 data

In this article, we consider the problem of change-point analysis for the count time series data through an integer-valued autoregressive process of order 1 (INAR(1)) with time-varying covariates. These types of features we observe in many real-life scenarios especially in the COVID-19 data sets, where the number of active cases over time starts falling and then again increases. In order to capture those features, we use Poisson INAR(1) process with a time-varying smoothing covariate. By using such model, we can model both the components in the active cases at time-point t namely, (i) number of nonrecovery cases from the previous time-point and (ii) number of new cases at time-point t. We study some theoretical properties of the proposed model along with forecasting. Some simulation studies are performed to study the effectiveness of the proposed method. Finally, we analyze two COVID-19 data sets and compare our proposed model with another PINAR(1) process which has time-varying covariate but no change-point, to demonstrate the overall performance of our proposed model.     

An Application of Quah and Vahey’s SVAR Methodology for Estimating Core Inflation in India: A Note

Inflation, calculated as year-on-year per cent change in general price level, represents a combined effect of several types of price changes. The monetary authorities primarily focus to track that part of inflation, which can be effectively monitored and controlled using various monetary instruments. This persistent component of inflation is termed as ‘Core Inflation’, which possesses long-run properties as well as predictive power to forecast inflation. This paper makes use of Quah and Vahey’s definition of core inflation as that component of headline inflation, which has no impact on output in medium to long run and estimates it by placing restrictions on vector auto regression system with inflation and output growth. The analysis is based on monthly data from April 1995 to January 2009. Empirical results showed that in India, during 2006 and 2007, the inflation process was stronger than what headline inflation figures actually depicted and in 2008 the inflationary process has tended to be somewhat weaker than what was observed in headline inflation.

     

The Regional Comprehensive Economic Partnership: new paradigm or old wine in a new bottle?

The Association of Southeast Asian Nations (ASEAN) is currently negotiating with its six trading partners to form a new trade agreement called the Regional Comprehensive Economic Partnership (RCEP). The RCEP intends to harmonise rules and regulations across multiple overlapping free trade agreements in the region, and thereby attract new members. However, it faces several challenges. The mention of a flexibility principle and the ‘ASEAN Way’ of decision‐making has led many to believe that the RCEP will be yet another low‐quality regional trade agreement. However, the RCEP presents all ASEAN members with the opportunity to take a role in setting the agenda for a region‐wide agreement. Hence, despite its challenges, ASEAN must make the effort to reach an attractive RCEP vis‐à‐vis other competing regional agreements. Accordingly, this paper describes what the RCEP is intended to be, how it emerged, and the issues that might affect the agreement's final quality, in order to evaluate if it will establish a new paradigm or a repackaged version of ASEAN's existing trade agreements.     

A panel data model for subjective information on household income growth

Subjective expectations about future income changes are analyzed, using household panel data. The models used are extensions of existing binary choice panel data models to the case of ordered response. We consider static models with random and fixed individual effects. We also look at a dynamic random effects model which includes a measure for permanent and transitory income. We find that income change expectations strongly depend on realized income changes in the past: those whose income fell, are more pessimistic than others, while those whose income rose are more optimistic. Expected income changes are also significantly affected by employment status, family composition, permanent income, and past expectations. Expectations are then compared to the head of household’s ex post perception of the realized income change for the same period. The main finding is that rational expectations are rejected, and that in particular, households whose income has decreased in the past underestimate their future income growth.