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Economics and Finance

D-Index
57
Citations
58165
World Ranking
917
National Ranking
573

Overview

Kenneth Train is affiliated with the University of California, Berkeley in the United States. Their research spans several interconnected fields within environmental and economic sciences.

The primary fields of study Kenneth Train works in include:

  • Environmental Science
  • Economics, Econometrics and Finance

They have contributed specifically to subfields such as:

  • Global and Planetary Change
  • Economics and Econometrics

Their research has addressed several main topics, including:

  • Economic and Environmental Valuation
  • Land Use and Ecosystem Services
  • Marine and Fisheries Research

Kenneth Train has published in the journal Ecological Economics, which is noted as their frequent publication venue.

One recent paper authored by Kenneth Train is:

  • "Reply to Whitehead," published in 2020 in Ecological Economics

They have collaborated with co-authors such as:

  • William H. Desvousges
  • Kristy E. Mathews

Best Publications

  • Discrete Choice Methods with Simulation

    Kenneth E. Train

  • Discrete Choice Methods with Simulation by Kenneth E. Train

    Unknown

  • MIXED MNL MODELS FOR DISCRETE RESPONSE

    Daniel McFadden;Kenneth Train

  • MIXED LOGIT WITH REPEATED CHOICES: HOUSEHOLDS' CHOICES OF APPLIANCE EFFICIENCY LEVEL

    David Revelt;Kenneth Train

  • Recreation Demand Models with Taste Differences Over People

    Kenneth E. Train

  • Qualitative Choice Analysis: Theory, Econometrics, and an Application to Automobile Demand

    Kenneth Train

  • Forecasting new product penetration with flexible substitution patterns

    David Brownstone;Kenneth Train

  • A Control Function Approach to Endogeneity in Consumer Choice Models

    Amil K Petrin;Kenneth Train

  • Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles

    David Brownstone;David S. Bunch;Kenneth Train

  • Hybrid choice models : Progress and challenges

    Moshe Ben-Akiva;Daniel Mcfadden;Kenneth Train;Joan Walker

  • Discrete Choice Models in Preference Space and Willingness-to Pay Space

    Kenneth Train;Melvyn Weeks

  • Halton Sequences for Mixed Logit

    Kenneth Train

  • Optimal Regulation: The Economic Theory of Natural Monopoly

    Kenneth Train

  • The demand for local telephone service: a fully discrete model of residential calling patterns and service choices

    Kenneth E. Train;Daniel L. McFadden;Moshe Ben-Akiva

  • Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps

    Riccardo Scarpa;Mara Thiene;Kenneth Train

  • On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice

    Stephane Hess;Kenneth E. Train;John W. Polak

  • Vehicle Choice Behavior and the Declining Market Share of U.S. Automakers

    Kenneth E. Train;Clifford Winston

  • Discount rates in consumers' energy-related decisions: A review of the literature

    Kenneth Train

  • Customers' Choice Among Retail Energy Suppliers: The Willingness-to-Pay for Service Attributes

    Andrew A. Goett;Kathleen Hudson;Kenneth E. Train

  • AN APPLICATION OF DIAGNOSTIC TESTS FOR THE INDEPENDENCE FROM IRRELEVANT ALTERNATIVES PROPERTY OF THE MULTINOMIAL LOGIT MODEL

    Daniel McFadden;Kenneth Train;William B Tye

  • THE GOODS/LEISURE TRADEOFF AND DISAGGREGATE WORK TRIP MODE CHOICE MODELS

    Kenneth Train;Daniel McFadden;Daniel McFadden

Frequent Co-Authors

Daniel McFadden
Daniel McFadden University of California, Berkeley
Stephane Hess
Stephane Hess University of Leeds
Joseph A. Herriges
Joseph A. Herriges Michigan State University
David A. Hensher
David A. Hensher University of Sydney
Richard T. Carson
Richard T. Carson University of California, San Diego
Joel Huber
Joel Huber Duke University
Riccardo Scarpa
Riccardo Scarpa Durham University
Chandra R. Bhat
Chandra R. Bhat The University of Texas at Austin
Giles Atkinson
Giles Atkinson London School of Economics and Political Science

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