What is he best known for?
The fields of study he is best known for:
Patrick Bayer mainly focuses on Census, Econometrics, Discrete choice, Demographic economics and Sorting.
Among his research on Census, you can see a combination of other fields of science like Reverse causation, Referral, City block, Work and Residence.
Patrick Bayer has included themes like Economies of agglomeration, Microeconomics and Willingness to pay in his Econometrics study.
His Willingness to pay study integrates concerns from other disciplines, such as Violent crime, Boundary and Endogeneity.
His research ties Economic inequality and Discrete choice together.
Demographic economics and Geography are two areas of study in which Patrick Bayer engages in interdisciplinary research.
His most cited work include:
- A Unified Framework for Measuring Preferences for Schools and Neighborhoods (554 citations)
- Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes (430 citations)
- Migration and Hedonic Valuation: The Case of Air Quality (275 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Demographic economics, Econometrics, Sorting, Census and Discrete choice.
His work deals with themes such as Counterfactual thinking, Consumption, Earnings and General equilibrium theory, which intersect with Demographic economics.
His Counterfactual thinking course of study focuses on Tiebout model and Public finance and Public economics.
His work on Unobservable as part of general Econometrics study is frequently linked to Identification, therefore connecting diverse disciplines of science.
His work on Microdata as part of general Census research is frequently linked to Work, Labour economics, Family structure and Economic inequality, thereby connecting diverse disciplines of science.
Patrick Bayer works mostly in the field of Discrete choice, limiting it down to topics relating to Monte Carlo method and, in certain cases, Dynamic problem and Bellman equation.
He most often published in these fields:
- Demographic economics (45.99%)
- Econometrics (27.81%)
- Sorting (26.74%)
What were the highlights of his more recent work (between 2015-2021)?
- Demographic economics (45.99%)
- Jury (19.79%)
- Earnings (7.49%)
In recent papers he was focusing on the following fields of study:
Patrick Bayer spends much of his time researching Demographic economics, Jury, Earnings, Bust and Labour economics.
The study of Demographic economics is intertwined with the study of Developing country in a number of ways.
The concepts of his Jury study are interwoven with issues in Research design, Representation and Criminology.
His Research design research is multidisciplinary, relying on both Social psychology and Politics.
While the research belongs to areas of Labour economics, he spends his time largely on the problem of Ethnic group, intersecting his research to questions surrounding Prejudice.
Patrick Bayer interconnects Preference heterogeneity, Econometrics, Willingness to pay, Estimator and Data set in the investigation of issues within Violent crime.
Between 2015 and 2021, his most popular works were:
- A Dynamic Model of Demand for Houses and Neighborhoods (78 citations)
- The Vulnerability of Minority Homeowners in the Housing Boom and Bust (41 citations)
- Divergent Paths: A New Perspective on Earnings Differences Between Black and White Men Since 1940 (28 citations)
In his most recent research, the most cited papers focused on:
Patrick Bayer mostly deals with Demographic economics, Bust, Percentile, White and Earnings distribution.
Patrick Bayer connects Demographic economics with African american in his research.
Bust overlaps with fields such as Speculation, Capital asset pricing model, Asset, Financial intermediary and Empirical evidence in his research.
His Speculation study incorporates themes from Financial economics, Asset market and Monetary economics.
His Percentile research incorporates elements of Earnings, Quantile, Position and Distribution.
White is frequently linked to Labour economics in his study.
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