11 research outputs found

    Difference-in-Differences with a Misclassified Treatment

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    This paper studies identification and estimation of the average treatment effect on the treated (ATT) in difference-in-difference (DID) designs when the variable that classifies individuals into treatment and control groups (treatment status, D) is endogenously misclassified. We show that misclassification in D hampers consistent estimation of ATT because 1) it restricts us from identifying the truly treated from those misclassified as being treated and 2) differential misclassification in counterfactual trends may result in parallel trends being violated with D even when they hold with the true but unobserved D*. We propose a solution to correct for endogenous one-sided misclassification in the context of a parametric DID regression which allows for considerable heterogeneity in treatment effects and establish its asymptotic properties in panel and repeated cross section settings. Furthermore, we illustrate the method by using it to estimate the insurance impact of a large-scale in-kind food transfer program in India which is known to suffer from large targeting errors

    Doubly weighted M-estimation for nonrandom assignment and missing outcomes

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    This article proposes a class of M-estimators that double weight for the joint problems of nonrandom treatment assignment and missing outcomes. Identification of the main parameter of interest is achieved under unconfoundedness and missing at random assumptions with respect to the treatment and sample selection problems, respectively. Given the parametric framework, the asymptotic theory of the proposed estimator is outlined in two parts: first, when the parameter solves an unconditional problem, and second, when it solves a stronger conditional problem. The two parts help to summarize the misspecification scenarios permissible under the given framework and the role played by double weighting in each. As illustrative examples, the article also discusses the estimation of causal parameters like average and quantile treatment effects. With respect to the average treatment effect, this article shows that the proposed estimator is doubly robust. Finally, a detailed application to Calónico and Smith’s (The women of the national supported work demonstration. J Labor Econom. 2017;35(S1):S65–S97.) reconstructed sample from the National Supported Work training program is used to demonstrate the estimator’s performance in empirical settings

    The cooling effect of pulse imports on price: The case of the pigeon pea in India

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    The persistent shortfall in India’s production of pulses in the wake of rising demand has led to an increasing volume of imports in the last decade. By bridging the demand–supply gap, imports are aimed at restricting rising domestic prices. However, the extent to which the imports have been successful in controlling domestic prices is a question that remains unanswered. This paper tries to assess the extent and nature of the cooling effect of imports on domestic prices for one of India’s most important pulses—pigeon pea. Using high-frequency, weekly data we find that for the period 2002–2012, pigeon pea imports and domestic prices are cointegrated. In the long run, a 1 percent increase in imports is associated with lowering prices by approximately 3 percent.Non-PRIFPRI1; CRP4; C Improving markets and tradeSAO; MTID; A4NHCGIAR Research Program on Agriculture for Nutrition and Health (A4NH

    Can fruit wines be considered as functional food?—An overview

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    314-322We are in midst of antioxidant superfood revolution. Nutritional studies on examining the foods for their protective and disease preventing potential have established that apart from grapes, fruits like cranberry, sweet cherry, blue berry are equal or sometimes better sources of flavonoids and phenolics. These facts have given a new dimension to the non-grape wines or fruit wines. A lot of efforts have been directed towards potential use of these fruits for production of wines which are rich in phenolics and flavonoids. This paper presents an overview on the phenolic and flavonoid contents of the non-grape wines or fruit wines and their antioxidant potency. It has also been tried to answer the question, whether fruit wines can also be considered as functional food

    Design of ANC filter using modified cuckoo search technique for ECG signal enhancement

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    In this work, the design of an adaptive noise canceller (ANC) filter is presented using modified cuckoo search (MCS) optimization technique. The proposed scheme is applied for de-noising of ECG signals. Our simulation results reveal that the ANC filter based on MCS algorithm provides superior performance than other optimization techniques used to enhance the ECG signal. The performance of ANC filter is compared with other reported algorithms by evaluating the fidelity parameters such as the signal to noise ratio (SNR), maximum error (ME) and mean square error (MSE). The proposed ANC filter design with MCS scheme gives 18% improvement in output SNR, 87% decrease in ME, and 85% reduction in MSE over the recently reported Hilbert Huang Transform (HHT) technique

    Electric vehicles for low-emission urban mobility: current status and policy review for India

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    Urban areas account for around 70% of global GHG emissions, one-third of which is attributed to the transportation sector. Thus, decarbonising urban mobility is critical in the endeavours to mitigate climate change. Electric vehicles (EV) have potential to control global decarbonisation of transportation. India has air quality index of 141, which is amongst the highest in the world. Considering this troubling figure, government has initiated various schemes and initiative plans. This study reviews the progress and current status of EV adoption in India with regard to availability, manufacturing, charging infrastructure, commercial vehicle electrification and in-depth analysis of FAME-I and FAME-II schemes along with state level initiatives. This research explores the current state of EV adoption through the integrative perspective of financial resources, infrastructure and technology availability highlighting various complications. Based on these challenges, the study proposes points of improvment in each fragment such as policies, infrastructure,electricity demand and sustainable source of energy. A roadmap is recommended of primary factors that should be priortised for effective EV adoption

    Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

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    This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223

    Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

    No full text
    This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223
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