References for the EWG 2024 project proposal 'TITEL'
Literature references:
Abrell, J. (2011): Transport under emission trading - A computable general equilibrium analysis. Südwestdeutscher Verlag für Hochschulschriften.
Abrell, J., Bilici S., Blesl, M., Fahl U., Kattelmann, F., Kittel L., Kosch, M., Luderer, G., Marmullaku, D., Pahle M., Pietzcker R., Rodrigues R., and Siegle, J. (2024): Optimal allocation of the EU carbon budget: A multi-model assessment. Energy Strategy Reviews, 51, 101271.
Abrell, J., Rausch, S., and Yonezawa, H. (2019): Higher price, lower costs? Minimum prices in the EU Wmissions Trading Scheme. The Scandinavian Journal of Economics, 121, 446-481.
Baumgartner, A., Krysiak F., and Kuhlmey F. (2022): Sufficiency without regret. Ecological Economics, 200, 107545.
Berg, C. (2007). Household transport demand in a CGE framework. Environmental and Resource Economics, 37, S573-S597.
Boeters, Stefan, and Luc Savard (2013): The labor market in Computable General Equilibrium models. Handbook of CGE Modeling Vol. 1, ed. Dixon, P. and Jorgenson, D., 1645–1718.
Böhringer, C. and Rutherford, T. (2008): Combining bottom-up and top-down. Energy Economics, 30, 574-596.
Böhringer, C., Löschel A., Moslener, U., and Rutherford, T. (2009): EU climate policy up to 2020: An economic impact assessment. Energy Economics, 31, S295-S305.
Cutilla, A. and Mauro, S. (2020): A mixed approach for data Fusion of HBS and SILC. Social Indicators Research, 150, 411-437.
Landis, F., Rausch, S., and Kosch, M. (2017): Differentiated carbon prices and the economic cost of decarbonization. Environmental and Resource Economics. 70(2), 483-516.
Rausch, S. and T.F. Rutherford (2010): Computation of equilibria in OLG models with many heterogeneous households. Computational Economics, 36, S171-S189.
Rutherford, T. and Tarr, D. (2008): Poverty effect of Russia’s WTO accession: Modelling “real” households with endogenous productivity effects. Journal of International Economics, 75, S131-S150.
Schaller, J. (2021): Datenfusion von EU-SILC und Household Budget Survey - ein Vergleich zweier Fusionsmethoden. WISTA – Wirtschaft und Statistik, Statistisches Bundesamt (Destatis), 73, 76-86.
Schwarzinger, S., Bird, D., and Skjolsvold, T. (2019): Identifying consumer lifestyles through their energy impacts: Transforming social science data into policy-relevant group-level knowledge. Sustainability, 11, 6162.