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1

Vilares, Manuel J. Structural Change in Macroeconomic Models. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4370-4.

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2

Caballero, Jaime del Valle. Structural change and factor prices. Río Piedras, P.R: Unidad de Investigaciones Económicas, Departamento de Economía, Universidad de Puerto Rico, Recinto de Río Piedras, 1993.

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3

Structural change in macroeconomic models: Theory and estimation. Dordrecht: Martinus Nijhoff, 1986.

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4

McDonald, J. R. S. Structural change, measured labour productivity and input-output models. Loughborough: Loughborough University of Technology, Department of Economics, 1993.

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5

Baily, Martin Neil. Labor productivity: Structural change and cyclical dynamics. Cambridge, MA: National Bureau of Economic Research, 1996.

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6

Growth and structural change in large low-income countries. Washington, D.C., U.S.A: World Bank, 1986.

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7

Seiichi, Katayama. Import demand structural change in the Pacific basin countries. Kobe, Japan: Institute of Economic Research, Kobe University of Commerce, 1986.

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8

Bianchi, Marco. Time series modelling in the presence of structural change. Louvain-la-Neuve: CIACO, 1995.

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9

Lindén, Lena. Developmental change and linear structural equations: Applications of LISREL models. Stockholm: Almqvist & Wiksell International, 1986.

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10

A, Harris. Structural change in the manufacturing sectors of the Australian states. Murdoch, W.A: Murdoch University, 1990.

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11

Basdevant, Olivier. Modelling structural change: The case of New Zealand. Wellington, N.Z: Reserve Bank of New Zealand, Economics Dept., 2003.

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12

Gemmell, Norman. Dynamic sectoral linkages and structural change in a developing economy. Nottingham: University of Nottingham, Centre for Research in Economic Development and International Trade, 1998.

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13

Xiao, Hui. Advertising, structural change, and U.S. non-alcoholic drink demand. Ithaca, N.Y: Dept. of Agricultural, Resource, and Managerial Economics, College of Agriculture and Life Sciences, Cornell University, 1998.

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14

Buzaglo, Jorge D. Structural change, openness, and development in the Argentine economy. Aldershot: Avebury, 1991.

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15

Braude, Jacob. Does the capital intensity of structural change matter for growth? Jerusalem: Bank of Israel, research department, 2004.

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16

Bennett, Paul. Structural change in the mortgage market and the propensity to refinance. [New York, N.Y.]: Federal Reserve Bank of New York, 1998.

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17

Bjorndal, Trond. The demand for salmon in France: The effects of marketing and structural change. Bergen-Sandviken, Norway: Institute of Fisheries Economics, Norwegian School of Economics and Business Administration, 1991.

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18

D, Jorge Buzaglo. Structural change, openness, and development in the Argentine economy. Aldershot: Avebury, 1991.

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19

Seiichi, Katayama. Estimation of structural change in the import and export equations: An international comparison. Kobe, Japan: Institute of Economic Research, Kobe University of Commerce, 1985.

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20

Khalaf, Lynda. Structural change in covariance and exchange rate pass-through: The case of Canada. Ottawa: Bank of Canada, 2006.

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21

Uhlin, Hans-Erik. Concepts and measurement of technical and structural change in Swedish agriculture. Uppsala, Sweden: Swedish University of Agricultural Sciences, Dept. of Economics and Statistics, 1985.

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22

Pain, Nigel. Modelling structural change in the UK housing market: A comparison of alternative house price models. London: National Institute of Economic and Social Research, 1996.

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23

Berthélemy, Jean-Claude. The role of capital accumulation, adjustment, and structural change for economic take-off: Empirical evidence from African growth episodes. Paris: OECD, 1999.

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24

Hoster, Frank. CO₂ Abatement and economic structural change in the European internal market. Heidelberg: Physica-Verlag Heidelberg, 1997.

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25

Hodoshima, Jiro. Identification and estimation in linear simultaneous equations models with structural change under limited information: Gains by homoskedasticity. Louvain-la-Neuve: CORE, 1985.

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26

Mwanawina, Inyambo. An input-output and econometric approach to analysing structural change and growth strategies in the Zambian economy. Konstanz: Hartung-Gorre, 1990.

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27

Weitzman, Martin L. Structural uncertainty and the value of statistical life in the economics of catastrophic climate change. Cambridge, Mass: National Bureau of Economic Research, 2007.

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28

Becker, Torbjörn. Common trends and structural change: A dynamic macro model for the pre- and postrevolution Islamic Republic of Iran. [Washington, D.C.]: International Monetary Fund, Research Department, 1999.

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29

International Conference on Mathematical Modelling (5th 1985 University of California, Berkeley). Economic evolution and structural adjustment: Proceedings of invited sessions on economic evolution and structural change held at the 5th International Conference on Mathematical Modelling at the University of California, Berkeley, California, USA, July 29-31, 1985. Berlin: Springer-Verlag, 1987.

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30

Harald, Hagemann, Landesmann Michael A, and Scazzieri Roberto, eds. The economics of structural change. Northhampton, MA: Edward Elgar Pub., 2003.

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31

Vilares, Manuel J. Structural Change in Macroeconomic Models: Theory and Estimation. M J Vilares, 2011.

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32

Peter, Hackl, Westlund Anders H. 1946-, and International Institute for Applied Systems Analysis., eds. Economic structural change: Analysis and forecasting. Berlin: Springer-Verlag, 1991.

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33

Northeast Fisheries Science Center (U.S.), ed. Evidence of structural change in preferences for seafood. Woods Hole, Mass: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Northeast Region, Northeast Fisheries Science Center, 1992.

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34

Development Change and Linear Structural Equations: Application of Lisrel Models (Iea Monograph). Coronet Books, 1986.

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35

Osidele, Olufemi O. Reachable Futures, Structural Change, and the Practical Credibility of Environmental Simulation Models. Dissertation.com, 2002.

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36

Gao, Xiaoming. Modeling taste change in meat demand: An application of latent structural equation models. 1991.

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37

(Editor), Harald Hagemann, Michael Landesmann (Editor), and Roberto Scazzieri (Editor), eds. The Economics of Structural Change (International Library of Critical Writings in Economics)(3 vol. set). Edward Elgar Publishing, 2003.

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38

Go, Delfin S., Hans Lofgren, Fabian Mendez Ramos, and Sherman Robinson. Estimating Parameters and Structural Change in CGE Models Using a Bayesian Cross-Entropy Estimation Approach. The World Bank, 2015. http://dx.doi.org/10.1596/1813-9450-7174.

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39

The Future of the World Economy: Economic Growth and Structural Change. Springer Verlag, 1989.

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40

Eckersley, Robyn. Responsibility for Climate Change as a Structural Injustice. Edited by Teena Gabrielson, Cheryl Hall, John M. Meyer, and David Schlosberg. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199685271.013.37.

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This chapter critically explores the political and moral challenges involved in understanding the harms of climate change as the product of structural injustices with a specific focus on political responsibility. The chapter stages a critical encounter between Iris Marion Young’s account of political responsibility, and the debate among climate justice theorists on how to assign responsibility for mitigation and adaptation to citizens and states. This encounter demonstrates the value of a hybrid approach that includes, and bridges, forward looking shared responsibility and backward looking liability models, but also reveals a major predicament. The more that structural injustices based on historical responsibility are backgrounded, the easier it becomes to reach agreements between the world’s most vulnerable and most privileged. Yet doing so accelerates the skewed distribution of climate vulnerability toward the least privileged, diminishing the common ground needed to achieve an equitable allocation of responsibility for climate change.
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41

Louis, Carter, Giber David J, and Goldsmith Marshall, eds. Best practices in organization development and change: Culture, leadership, retention, performance, coaching : case studies, tools, models, research. San Francisco: Jossey-Bass Publishers, 2001.

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42

Consumption Structure and Macroeconomics: Structural Change and the Relationship Between Inequality and Growth (Lecture Notes in Economics and Mathematical Systems). Springer, 2005.

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43

Iversen, Torben, and David Soskice. A Structural-Institutional Explanation of the Eurozone Crisis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198807971.003.0010.

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This chapter presents an argument about the underlying reasons for the persistent economic troubles in the Eurozone based on the two different and divergent growth models in the Eurozone’s member states: the export-oriented, skill-intensive, coordinated model of the northern and continental welfare economies and the demand-driven model with strong public sector unions in southern Europe. The chapter then argues that the interactions between macroeconomic policies and national institutions render policies that are appropriate for southern Europe dysfunctional for northern Europe, and vice versa. Is goes on to discuss different reform scenarios for the Eurozone, emphasizing that all reforms come at a considerable political cost, as the same political-economic institutions that would have to be reformed have strong stakes in the status quo in both political economy models. As there are no political incentives for structural change in either model, crises will persist.
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44

Wing, Ian Sue, and Edward J. Balistreri. Computable General Equilibrium Models for Policy Evaluation and Economic Consequence Analysis. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.7.

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This chapter reviews recent applications of computable general equilibrium (CGE) modeling in the analysis and evaluation of policies that affect interactions among multiple markets. At the core of this research is a particular approach to the data and structural representations of the economy, elaborated through the device of a canonical static multiregional model. This template is adapted and extended to shed light on the structural and methodological foundations of simulating dynamic economies, incorporating “bottom-up” representations of discrete production activities, and modeling contemporary theories of international trade with monopolistic competition and heterogeneous firms. These techniques are motivated by policy applications including trade liberalization, development, energy policy and greenhouse gas mitigation, the impacts of climate change and natural disasters, and economic integration and liberalization of trade in services.
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45

Auty, Richard M., and Haydn I. Furlonge. The Rent Curse. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198828860.001.0001.

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This book analyses the political economy of economic development using two stylized facts models of rent-driven growth. The models show that: (i) the resource curse is a variant of a wider rent curse that can be driven by geopolitical rent (foreign aid), labour rent (worker remittances), or regulatory rent (government manipulation of relative prices); (ii) the rent curse is caused by policy failure and is avoidable; (iii) the global incidence of the rent curse varies over time, which reflects development policy fashions; and (iv) the intensity of the rent curse also varies with rent linkages. Rent cycling theory posits that low rent incentivizes the elite to grow the economy to become wealthy, whereas high rent encourages siphoning rent for immediate enrichment at the expense of sustainable and diversified economic growth. The contrasting incentives trigger divergent policies and structural change. Low rent motivates the efficient allocation of inputs in line with the economy’s comparative advantage in labour-intensive exports, which drives: structural change; rapid egalitarian economic growth; and incremental democratization. High rent, however, elicits contests to capture rent for immediate enrichment so the economy absorbs rent too quickly. The economy experiences Dutch disease effects that expand a subsidized urban sector whose rent demands outstrip supply, resulting in a staple trap and a protracted growth collapse. The economy fails to diversify competitively and depends for growth on expanding rent rather than on competitive diversification that boosts productivity. The book uses the models to explain why many developing countries in Latin America, Sub-Saharan Africa, and the Gulf followed a staple trap trajectory and draws on East Asia and South Asia for reform.
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46

Launay, Jean-Pierre, and Michel Verdaguer. The moving electron: electrical properties. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198814597.003.0003.

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The three basic parameters controlling electron transfer are presented: electronic interaction, structural change and interelectronic repulsion. Then electron transfer in discrete molecular systems is considered, with cases of inter- and intramolecular transfers. The semi-classical (Marcus—Hush) and quantum models are developed, and the properties of mixed valence systems are described. Double exchange in magnetic mixed valence entities is introduced. Biological electron transfer in proteins is briefly presented. The conductivity in extended molecular solids (in particular organic conductors) is tackled starting from band theory, with examples such as KCP, polyacetylene and TTF-TCNQ. It is shown that electron–phonon interaction can change the geometrical structure and alter conductivity through Peierls distortion. Another important effect occurs in narrow-band systems where the interelectronic repulsion plays a leading role, for instance in Mott insulators.
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47

Stoolmiller, Mike. An Introduction to Using Multivariate Multilevel Survival Analysis to Study Coercive Family Process. Edited by Thomas J. Dishion and James Snyder. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199324552.013.27.

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Multivariate multilevel survival analysis is introduced for studying hazard rates of observed emotional behavior relevant for coercion theory. Finite time sampling reliability (FTSR) and short-term retest reliability (STRR) across two occasions (sessions) of observation during structured problem-solving tasks several weeks apart were determined for hazard rates of emotional behaviors for parent–child dyads. While FTSR was high (.80–.96), STRR was low (.16–.65), suggesting that emotional behaviors in the context of parent–child social interaction are not very stable over a period of several weeks. Using latent variable structural equation models that corrected for the low STRR, two hazard rates were predictive of change in child antisocial behavior over a 3-year period (kindergarten to third grade) net of initial child antisocial behavior. Low levels of parent positive emotion and increases from session 1 to 2 of child neutral behavior both accounted for unique variance in third grade antisocial behavior.
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48

Egger, Eva-Maria, Aslihan Arslan, and Emanuele Zucchini. Does connectivity reduce gender gaps in off-farm employment? Evidence from 12 low- and middle-income countries. 3rd ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/937-2.

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Gender gaps in labour force participation in developing countries persist despite income growth or structural change. We assess this persistence across economic geographies within countries, focusing on youth employment in off-farm wage jobs. We combine household survey data from 12 low- and middle-income countries in Asia, Latin America, and sub-Saharan Africa with geospatial data on population density, and estimate simultaneous probit models of different activity choices across the rural-urban gradient. The gender gap increases with connectivity from rural to peri-urban areas, and disappears in high-density urban areas. In non-rural areas, child dependency does not constrain young women, and secondary education improves their access to off-farm employment. The gender gap persists for married young women independent of connectivity improvements, indicating social norm constraints. Marital status and child dependency are associated positively with male participation, and negatively with female participation; other factors such as education are show a positive association for both sexes. These results indicate entry points for policy.
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49

Frangipane, Marcella. Arslantepe-Malatya: A Prehistoric and Early Historic Center in Eastern Anatolia. Edited by Gregory McMahon and Sharon Steadman. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195376142.013.0045.

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This article discusses findings from excavations at Arslantepe–Malatya. Arslantepe is a tell about 4.5 hectares in extension and 30 meters high, at the heart of the fertile Malatya Plain, some 12 kilometers from the right bank of the Euphrates, and surrounded by mountains, which, in the past, were covered by forests. In the earliest phases of its history, in the Chalcolithic period, it had close links with the Syro-Mesopotamian world, with which it shared many cultural features, structural models, and development trajectories. But in the early centuries of the third millennium BCE, far-reaching changes took place in the site that halted the development of the Mesopotamian-type centralized system and reoriented Arslantepe's external relations toward eastern Anatolia and Transcaucasia. A further radical change occurred in the second millennium BCE, when the site interacted with the rising Hittite civilization, which exerted a strong influence on it. But it was with the Late Bronze I and, more evidently, Late Bronze II, that the expanding Hittite state, which expanded as far as the banks of the Euphrates, imposed its cultural and political domination over the populations in the Malatya region, heralding another important stage in the history of Arslantepe.
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50

Beck, Joachim, Jürgen Stember, and Andreas Lasar, eds. Gleichwertigkeit der Lebensverhältnisse. Nomos Verlagsgesellschaft mbH & Co. KG, 2020. http://dx.doi.org/10.5771/9783748923411.

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The debate on the equality of living conditions is on the agenda not only in Germany but throughout Europe. Thematic and/or functional aspects such as centre-periphery models, demographic change, consequences of digitisation, financing aspects, innovation aspects, regional funding - Europe of the Regions, regional funds, always also raise to the structural question of how to maintain the efficiency of public administration in all regions of Europe and Germany. What challenges for the design and performance of public administration and services of general interest arise in the context of increasing social, economic and spatial segregation, and what practical answers are possible, was the topic of the 3rd conference of the Practice and Research Network of German Universities for the Public Sector, which took place on 6 and 7 February 2020 at the University of Applied Sciences in Osnabrück. The anthology presents contributions by 35 authors on the topics "European Dimension", "Territorial, technical and social innovations" and "People and work". With contributions by Hans Adam, Barbara Bartels-Leipold, Kay Bonde, Cathrin Chevalier, Saskia Ehlers, Svenja Gödecke, Arnim Goldbach, Patricia Gozalbez Cantó, Prof. Dr. Johanna Groß, Dr. Norbert Jochens, Dr. Wolfram Karg, Frank Kupferschmidt, Joachim Lippott, Rainer Lisowski, Dr. Anne Melzer, Robert Müller-Török, Martina Röhrich, Prof. Dr. iur. Christoph Schewe, M.E.S. (Salamanca), Henning Schimpf, Andreas Schmid, Katrin Stegemann, Lisa Stegemann, Christiane Trüe, Dirk Villányi and Dr. Frank Vogel.
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