Topics on Economics and Social Science


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Agricultural land use accounts for over 50 percent of the surface area of the contiguous United States. Public recognition that social, aesthetic, and recreational values enhance the traditional Federal policymakers and land managers are accountable to the public for how they use public resources and for the outcomes of policy and management decisions.

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Through a variety of economic analyses and custom modeling, SEA economists evaluate how investments and management decisions affect individuals, local communities, and society as a whole. Human Dimensions in the context of natural resource management refers to understanding attitudes, preferences, and behaviors of American citizens in order to improve conservation and management of public lands and waters managed by the Department of the Interior DOI.

Human Dimensions at the FORT also includes understanding the users and applications of data and technology in the context of Search Search.

Fort Collins Science Center. Economics and Ecosystem Services Explore Topic.

Agricultural Practices Explore Topic. Economic and social history is also interested in how people have attempted to resolve socio-economic problems at different times. The discipline analyses current social issues from a historical perspective. The discipline of economic and social history is rich and diverse, and the research topics range from the local to the global. Multidisciplinary themes are also typical.

For more information about researchers in economic and social history as well as their research, see the University of Helsinki research portal. You can also search for people through the search page for contact information. Discipline coordinator: Professor Jari Eloranta. My work and interests cross the fields of economic history, history of economic thought, conceptual history as well as business history.

I like to think about the economy in Schumpeterian terms in the sense of combining history of economic reasoning, i. Much of my work is also comparative, striving to find and showcase national idiosyncrasies in German, French and English language economic and social reasoning. Talous- ja sosiaalihistorian tohtorikoulutettava Doktorand i ekonomisk och social historia PhD student in Economic and Social History.

Master in Social Sciences | UC3M

More research projects involving the discipline are listed in the r esearch portal. For the first two years, students pursue studies each of the four disciplines: political history; development studies; social and cultural anthropology; and economic and social history. During the third year, students choose their discipline-specific study tracks.

These degree programmes continue the long-standing cooperation in social science history between the disciplines of economic and social history and political history; within the framework of social science history. Faculty of Social Sciences.

Description of the discipline. Research profile.

Research topics

Research projects. Foundations of Political Economy. Prerequisites: SS c, SS b. Mathematical theories of individual and social choice applied to problems of welfare economics and political decision making as well as to the construction of political economic processes consistent with stipulated ethical postulates, political platform formulation, the theory of political coalitions, and decision making in political organizations. Instructors: Gibilisco, Agranov.

Advanced Economic Theory.

Course Listings

May be repeated for credit. Advanced work in a specialized area of economic theory, with topics varying from year to year according to the interests of students. Financial Economics. Mathematical finance: Pricing financial derivatives, risk management, and optimal portfolio selection. Methods of stochastic, Ito calculus for models driven by Brownian motion. Asset pricing theory: Mean-variance theory, information economics, continuous-time finance and differential equations, intertemporal consumption-based asset pricing theories, recent developments in intermediary-based and behavioral asset pricing theories.

Behavioral finance: Empirical facts about asset prices, investor trading behavior, and firm behavior. Psychology about investor preferences and beliefs. Behavioral finance models that explain empirical facts. Trading strategies implemented by hedge funds. Prescriptive behavioral finance that aims at helping individuals and institutions to make better financial decisions.


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Instructors: Jin. Neuroscience Applications to Economics and Politics. Topics in behavioral, affective, and social neuroscience that inform how individuals make economic decisions. Applications of neuroscience ideas and methods to understanding choice under risk and uncertainty, temporal discounting and self-control, advertisement and preference formation, habit, addiction, and judgment bias. Not offered — Introduction to the use of multivariate and nonlinear methods in the social sciences. Instructors: Shum, Xin, Sherman. Topics in Theoretical and Applied Econometrics.

Prerequisites: SS abc; may be repeated for credit. The courses in this sequence cover advanced methods and tools in econometrics, as well as their applications to a variety of topics in economics, including industrial organization, dynamic choice, information economics, political economy, market design, and behavioural economics. Instructors: Shum, Sherman, Xin. Social Science Data. This course provides broad coverage of empirical methods in the social sciences.

APPLICATION FOR ADMISSION

This includes both methods of data collection and practical aspects of data analysis, as well as related issues of survey design, experimental design, techniques for handling large datasets, and issues specific to the collection and analysis of field and historical data. This course also provides students with hands-on experience with data.

Instructor: Alvarez. This course explores the interaction of experimental design and econometric inference in the laboratory approach to economic questions. The course critically evaluates existing experimental studies to highlight this interaction and motivate consideration of inferential strategies early in an experiments design. Methodological topics may include testing theories in two-by-two designs, power and optimal design, classifying subjects into canonical types, testing based on elicited preferences and beliefs, and challenges introduced by communication and dynamics in economic experiments.

Topics on Economics and Social Science Topics on Economics and Social Science
Topics on Economics and Social Science Topics on Economics and Social Science
Topics on Economics and Social Science Topics on Economics and Social Science
Topics on Economics and Social Science Topics on Economics and Social Science
Topics on Economics and Social Science Topics on Economics and Social Science

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