1,721,050 research outputs found
Equity, Externalities and Energy Subsidies: The Case of Kerosene in Indonesia
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
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
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
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
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
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
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
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
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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