313 results, from 1
Brown Bag Seminar Industrial Economics


08.01.2021| Jonas Lieber, University of California
Brown Bag Seminar Industrial Economics


12.02.2021| Hannes Ullrich

BCCP Virtual Mini-Conference 2020

The tremendous growth of digital transactions has profoundly affected the way we interact, opening vast opportunities to improve our lives. Consumers have benefited from an unprecedented proliferation of new services and products that previously were simply too costly to be developed and marketed to customers. These digital interactions create vast amounts of data. While firms are already using...

26.06.2020| Daniel Björkegren, Joanna Bryson, Anna Christmann, Cass Sunstein, Hannes Ullrich
Research Project

Biased beliefs in dynamic decisions

In many dynamic decision problems, the relevant market prices and budget constraints are random variables whose realizations lie in the future. This makes optimal decision-making difficult as optimality requires an accurate quantification and interpretation of the dynamic processes operating in the market. The studies in this project model and test the agents’ expectations about relevant...

Current Project| Public Economics
Externe referierte Aufsätze

Where Does the Fair Trade Money Go? How Much Consumers Pay Extra for Fair Trade Coffee and How This Value Is Split along the Value Chain

Fair Trade certification aims at transferring wealth from the consumer to the farmer; however, coffee passes through many hands before reaching final consumers. Bringing together retail, wholesale, and stock market data, this study estimates how much more consumers are paying for Fair Trade-certified coffee in US supermarkets and finds estimates around $1.50 per lb. The study then assesses how this ...

In: World Development 133 (2020), 105006, 12 S. | Helene Naegele
Externe referierte Aufsätze

On DSGE Models

The outcome of any important macroeconomic policy change is the net effect of forces operating on different parts of the economy. A central challenge facing policymakers is how to assess the relative strength of those forces. Economists have a range of tools that can be used to make such assessments. Dynamic stochastic general equilibrium (DSGE) models are the leading tool for making such assessments ...

In: Journal of Economic Perspectives 32 (2108), 3, S. 113-140 | Lawrence J. Christiano, Martin S. Eichenbaum, Mathias Trabandt
Externe referierte Aufsätze

The Effects of Second-Generation Rent Control on Land Values

Second generation rent control seeks to prevent negative quantity effects by exempting newly built units. The artificially lowered rent in the controlled segment makes renting attractive for households that would otherwise not have rented in the market, replacing households with higher willingness to pay for housing. These households bid up prices in the free market segment, giving rise to an opposite-sign ...

In: AEA Papers and Proceedings 109 (2019), S. 385-388 | Andreas Mense, Claus Michelsen, Konstantin A. Kholodilin
Externe referierte Aufsätze

Solar PV Generation in Colombia - a Qualitative and Quantitative Approach to Analyze the Potential of Solar Energy Market

Colombia faces several challenges to secure a reliable, affordable, and climate-friendly energy supply. Persistently low reserve-to-production ratios in oil and gas, together with advancing climate change, are putting the country’s energy system at risk. Heavily relying on hydro-power, Colombia’s electricity system will become more vulnerable with extreme weather patterns such as El Niño. This paper ...

In: Renewable Energy 148 (2020), S. 1266-1279 | Andrea Ruíz López, Alexandra Krumm, Lukas Schattenhofer, Felipe Corral Montoya, Nora Oberländer, Pao-Yu Oei
DIW Weekly Report 32 / 2019

High Risk of a Housing Bubble in Germany and Most OECD Countries

Housing prices in many countries have increased significantly over the past years, fueling a fear that speculative price bubbles will return. However, it can be difficult for policymakers to recognize when regulatory interventions in the market are necessary to counteract bubbles. This report shows how modern machine learning methods can be used to forecast speculative price bubbles at an early stage. ...

2019| Konstantin A. Kholodilin, Claus Michelsen
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