1,721,050 research outputs found

    Equity, Externalities and Energy Subsidies: The Case of Kerosene in Indonesia

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    Pitt, Mark M.. (1983). Equity, Externalities and Energy Subsidies: The Case of Kerosene in Indonesia. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/55273

    Estimating Industrial Energy Demand with Firm-Level Data: The Case of Indonesia

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    Pitt, Mark M.. (1983). Estimating Industrial Energy Demand with Firm-Level Data: The Case of Indonesia. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/55274

    Smuggling and the Black Market for Foreign Exchange

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    Pitt, Mark M.. (1983). Smuggling and the Black Market for Foreign Exchange. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/55270

    A Theory of Smuggling with Application to Indonesia

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    Pitt, Mark M.. (1979). A Theory of Smuggling with Application to Indonesia. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/54993

    Pooling Cross-Section and Time Series Data in the Estimation of Stochastic Frontier Production Function Models

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    Lee, Lung-Fei; Pitt, Mark M.. (1978). Pooling Cross-Section and Time Series Data in the Estimation of Stochastic Frontier Production Function Models. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/54945

    Specification and Estimation of Consumer Demand Systems with Many Binding Non-Negativity Constraints

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    This article presents coherent stochastic specifications for direct and indirect utility functions which result in comput1onally tractable demand systems subject to many binding non-negativity constraints. A seven commodity linear expenditure demand system for food is estimated using household consumption data.Lee, Lung-Fei; Pitt, Mark M.. (1986). Specification and Estimation of Consumer Demand Systems with Many Binding Non-Negativity Constraints. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/55506

    Specification and Estimation of Demand Systems with Limited Dependent Variables

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    Econometric models for consumer demand systems with zero demand quantities are specified which consider observed demands as the result of optimal behavior. Our approach utilizes the concept of virtual prices to transform binding zero quantities into nonbinding quantities and to provide a rigorous justification for structural shifts in the observed (positive) demand equations across demand regimes. Switching conditions, which determine the occurrence probabilities of different demand regimes, are provided in terms of notional (latent) demand equations. This approach can estimate demand relationships derived from either direct or indirect utility functions. The econometric model is used to estimate a system of demand equations based on a household sample survey from Indonesia.Lee, Lung-Fei; Pitt, Mark M.. (1983). Specification and Estimation of Demand Systems with Limited Dependent Variables. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/55342

    Microeconometric Analysis of Kink Points: The Convex Case

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    Consumer demand and production microeconomic models with kink points are analyzed. Kink points in demand or production schedules may arise due to binding nonnegative constraints, quantity rationing, production quotas or increasing block prices. The occurrence of various kink points divides the schedule into various regimes with structural change. The switching conditions for the regimes can be determined by the comparison of market prices with some appropriate virtual prices. Several equivalent switching regime conditions are also derived in terms of demand functions. The proposed approach unifies the direct and dual approaches and suggests appropriate econometric models for convex budget sets in consumer demand and production economics.Lee, Lung-Fei; Pitt, Mark M.. (1984). Microeconometric Analysis of Kink Points: The Convex Case. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/55372

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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