Maximilian Kasy
Dados Biográficos
| ID | 1471058 |
|---|---|
| NOME | Maximilian Kasy |
| PRENOMES | Maximilian |
| SOBRENOME | Kasy |
| ASSINATURA | KASY M |
| AFILIAÇÕES | Harvard University |
| ORCID | 0000-0002-8679-5179 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 8 |
| TOTAL DE CITAÇÕES | 11 |
| TOTAL COMO AUTOR | 8 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2013 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2021 |
| ÍNDICE H | 2 |
Of Forking Paths and Tied Hands
A key challenge for interpreting published empirical research is the fact that published findings might be selected by researchers or by journals. Selection might be based on criteria such as significance, consistency with theory, or the surprisingness of findings or their plausibility. Selection leads to biased estimates, reduced coverage of confidence intervals, and distorted posterior beliefs. I review methods for detecting and quantifying sel…
Choosing among Regularized Estimators in Empirical Economics
Many settings in empirical economics involve estimation of a large number of parameters. In such settings, methods that combine regularized estimation and data-driven choices of regularization parameters are useful. We provide guidance to applied researchers on the choice between regularized estimators and data-driven selection of regularization parameters. We characterize the risk and relative performance of regularized estimators as a function …
How to Use Economic Theory to Improve Estimators
We propose to use economic theories to construct shrinkage estimators that perform well when the theories' empirical implications are approximately correct but perform no worse than unrestricted estimators when the theories' implications do not hold. We implement this construction in various settings, including labor demand and wage inequality, and estimation of consumer demand. We provide asymptotic and finite sample characterizations of the beh…
Survey mode effects on measured income inequality
Partial Identification, Distributional Preferences, and the Welfare Ranking of Policies
We discuss the tension between “what we can get” (identification) and “what we want” (parameters of interest) in models of policy choice (treatment assignment). Our nonstandard empirical object of interest is the ranking of counterfactual policies. Partial identification of treatment effects maps into a partial welfare ranking of treatment assignment policies. We characterize the identified ranking and show how the identifiability of the ranking …
Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead
Suppose that an experimenter has collected a sample as well as baseline information about the units in the sample. How should she allocate treatments to the units in this sample? We argue that the answer does not involve randomization if we think of experimental design as a statistical decision problem. If, for instance, the experimenter is interested in estimating the average treatment effect and evaluates an estimate in terms of the squared err…
Identification in a model of sorting with social externalities and the causes of urban segregation
The Impact of Changing Family Structures on the Income Distribution among Costa Rican Women 1993–2009
Changes in family structures, such as the composition of households with respect to size, age, and gender, can have an impact on poverty rates and the income distribution more generally. This study analyzes the impact of changing family structures on the income distribution among adult Costa Rican women between 1993 and 2009, using decomposition methods. There was a general increase in the share of family structures associated with lower incomes …
Of Forking Paths and Tied Hands
A key challenge for interpreting published empirical research is the fact that published findings might be selected by researchers or by journals. Selection might be based on criteria such as significance, consistency with theory, or the surprisingness of findings or their plausibility. Selection leads to biased estimates, reduced coverage of confidence intervals, and distorted posterior beliefs. I review methods for detecting and quantifying sel…
Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead
Suppose that an experimenter has collected a sample as well as baseline information about the units in the sample. How should she allocate treatments to the units in this sample? We argue that the answer does not involve randomization if we think of experimental design as a statistical decision problem. If, for instance, the experimenter is interested in estimating the average treatment effect and evaluates an estimate in terms of the squared err…
Survey mode effects on measured income inequality
Identification in a model of sorting with social externalities and the causes of urban segregation
The Impact of Changing Family Structures on the Income Distribution among Costa Rican Women 1993–2009
Changes in family structures, such as the composition of households with respect to size, age, and gender, can have an impact on poverty rates and the income distribution more generally. This study analyzes the impact of changing family structures on the income distribution among adult Costa Rican women between 1993 and 2009, using decomposition methods. There was a general increase in the share of family structures associated with lower incomes …
The Impact of Changing Family Structures on the Income Distribution among Costa Rican Women 1993–2009
Changes in family structures, such as the composition of households with respect to size, age, and gender, can have an impact on poverty rates and the income distribution more generally. This study analyzes the impact of changing family structures on the income distribution among adult Costa Rican women between 1993 and 2009, using decomposition methods. There was a general increase in the share of family structures associated with lower incomes …
Identification in a model of sorting with social externalities and the causes of urban segregation
Partial Identification, Distributional Preferences, and the Welfare Ranking of Policies
We discuss the tension between “what we can get” (identification) and “what we want” (parameters of interest) in models of policy choice (treatment assignment). Our nonstandard empirical object of interest is the ranking of counterfactual policies. Partial identification of treatment effects maps into a partial welfare ranking of treatment assignment policies. We characterize the identified ranking and show how the identifiability of the ranking …
Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead
Suppose that an experimenter has collected a sample as well as baseline information about the units in the sample. How should she allocate treatments to the units in this sample? We argue that the answer does not involve randomization if we think of experimental design as a statistical decision problem. If, for instance, the experimenter is interested in estimating the average treatment effect and evaluates an estimate in terms of the squared err…
Survey mode effects on measured income inequality
Choosing among Regularized Estimators in Empirical Economics
Many settings in empirical economics involve estimation of a large number of parameters. In such settings, methods that combine regularized estimation and data-driven choices of regularization parameters are useful. We provide guidance to applied researchers on the choice between regularized estimators and data-driven selection of regularization parameters. We characterize the risk and relative performance of regularized estimators as a function …
How to Use Economic Theory to Improve Estimators
We propose to use economic theories to construct shrinkage estimators that perform well when the theories' empirical implications are approximately correct but perform no worse than unrestricted estimators when the theories' implications do not hold. We implement this construction in various settings, including labor demand and wage inequality, and estimation of consumer demand. We provide asymptotic and finite sample characterizations of the beh…
Of Forking Paths and Tied Hands
A key challenge for interpreting published empirical research is the fact that published findings might be selected by researchers or by journals. Selection might be based on criteria such as significance, consistency with theory, or the surprisingness of findings or their plausibility. Selection leads to biased estimates, reduced coverage of confidence intervals, and distorted posterior beliefs. I review methods for detecting and quantifying sel…
Mathematics (7 obras) · Computer Science (6 obras) · Econometrics (6 obras) · Economics (6 obras) · Statistics (5 obras) · Artificial Intelligence (3 obras) · Monetary Policy and Economic Impact (3 obras) · Advanced Causal Inference Techniques (2 obras) · Artificial Intelligence (2 obras) · Decision-Making and Behavioral Economics (2 obras)