1 |
Abdurahman |
A |
Sami Abdurahman |
Toronto Metropolitan
University, Department of Economics |
Instrumental
Variable Quantile Regression Using Artificial Neural Networks |
1. Sami
Abdurahman (Toronto Metropolitan University,
Department of Economics): Instrumental Variable Quantile Regression Using
Artificial Neural Networks |
1 |
Ahn |
A |
Young Ahn |
University of
Pennsylvania |
Revisiting the
National JTPA Study: Estimation of the Distribution of Job Training Effects |
1. Young Ahn
(University of Pennsylvania): Revisiting the National JTPA Study: Estimation
of the Distribution of Job Training Effects |
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2 |
Abroufarakh |
B |
Ayda Abroufarakh |
York University |
Semiparametric Estimation of Count
Regression Models Revisited |
2. Ayda Abroufarakh (York University): Semiparametric Estimation of Count
Regression Models Revisited |
2 |
Allen |
A |
Roy Allen |
University of Western Ontario |
Mean Independence with Finite-Sized Markets |
2. Roy Allen (University of Western
Ontario): Mean Independence with Finite-Sized Markets |
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3 |
Brou |
B |
Arsène Brou |
Université Laval |
The economic value of reward-to-risk timing
strategies using return-decomposition GARCH models |
3. Arsène Brou (Université Laval ): The economic value of reward-to-risk timing
strategies using return-decomposition GARCH models |
3 |
Alves |
A |
Flavia Alves |
Carleton University |
Technological Constraints and Gender
Disparities In Canadian Labour Markets |
3. Flavia Alves (Carleton
University): Technological Constraints and Gender Disparities In Canadian Labour Markets |
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4 |
Brown |
B |
Nicholas L. Brown |
Florida State University |
A Simple Reformulation of the Common
Correlated Effects Model |
4. Nicholas L. Brown (Florida State University): A Simple Reformulation of the Common
Correlated Effects Model |
4 |
Chan |
A |
Thomas Chan |
University of British Columbia |
Adaptive Experiment Design for Estimating A
Large Class of Causal Effects |
4. Thomas Chan (University of
British Columbia): Adaptive Experiment Design for Estimating A Large Class of
Causal Effects |
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5 |
Cha |
A |
Jooyoung Cha |
University of Notre Dame |
Bounds for Standard Errors in Combined Data |
5. Jooyoung Cha (University of Notre Dame): Bounds for Standard Errors in Combined Data |
5 |
Chen |
A |
Ertian Chen |
University College London |
Distributionally Robust Dynamic Structural
Estimation: Serial Dependence and Sensitivity Analysis |
5. Ertian Chen (University College
London): Distributionally Robust Dynamic Structural Estimation: Serial
Dependence and Sensitivity Analysis |
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6 |
Cheng |
B |
Bowen Cheng |
Toronto Metropolitan
University |
Oil and Energy
Equity Spillovers: Evidence from CoVaR and Dependence-Switching Copulas |
6. Bowen Cheng (Toronto Metropolitan University): Oil and Energy Equity Spillovers:
Evidence from CoVaR and Dependence-Switching Copulas |
6 |
Chen |
A |
Lin Chen |
Vanderbilt University |
Endogenous Treatment on Network |
6. Lin Chen (Vanderbilt University):
Endogenous Treatment on Network |
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7 |
Dijcke |
A |
David Van Dijcke |
University of Michigan |
Regression Discontinuity Design with
Distribution-Valued Outcomes |
7. David Van Dijcke (University of Michigan): Regression Discontinuity Design with
Distribution-Valued Outcomes |
7 |
Danso |
A |
Prince Danso |
Department of Economics, Carleton University |
Household National Health Insurance
Subscription and Learning
Outcomes of Poor Children in Ghana |
7. Prince Danso (Department of
Economics, Carleton University): Household National Health Insurance
Subscription and Learning
Outcomes of Poor Children in Ghana |
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8 |
Fotso |
A |
Wilfried Youmbi Fotso |
University of Western Ontario |
Nonparametric Analysis of Compensation
Functions under Bounded Rationality |
8. Wilfried Youmbi Fotso (University of Western Ontario): Nonparametric Analysis of
Compensation Functions under Bounded Rationality |
8 |
Hong |
B |
Seoyun Hong |
Boston University |
Inference on Heterogeneous Treatment Effects
with High-Dimensional Covariates Using Instrumental Variables |
8. Seoyun Hong (Boston University):
Inference on Heterogeneous Treatment Effects with High-Dimensional Covariates
Using Instrumental Variables |
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9 |
Ghosh |
B |
Sudipto Ghosh |
University of Waterloo |
Modeling ``Good" and ``Bad"
Volatilities under a Threshold and Time-Smooth Realized Semivariance GARCH |
9. Sudipto Ghosh (University of Waterloo): Modeling ``Good" and ``Bad"
Volatilities under a Threshold and Time-Smooth Realized Semivariance GARCH |
9 |
Hsieh |
A |
Jeff Hsin-Yuan Hsieh |
Simon Fraser University |
Intrahousehold Resource Allocation in
Collective Households with Large and Sparse Demand Systems |
9. Jeff Hsin-Yuan Hsieh (Simon
Fraser University): Intrahousehold Resource Allocation in Collective
Households with Large and Sparse Demand Systems |
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10 |
Gong |
A |
Yiran Gong |
Analysis Group |
A Pure Characteristics Approach for Evaluating
Welfare Effects from Introducing New Products with Options |
10. Yiran Gong (Analysis Group): A Pure Characteristics Approach for Evaluating Welfare
Effects from Introducing New Products with Options |
10 |
Jiang |
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Olivia Jiang |
Carleton University |
10. Olivia Jiang (Carleton
University): |
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11 |
Jouini |
B |
Tarek Jouini |
University of Windsor |
Consistent and efficient prediction with
vector autoregressive modeling |
11. Tarek Jouini (University of Windsor): Consistent and efficient prediction with vector
autoregressive modeling |
11 |
Karim |
A |
Sunny Karim |
Carleton University |
Good Controls Gone Bad:
Difference-in-differences with covaraites |
11. Sunny Karim (Carleton
University): Good Controls Gone Bad: Difference-in-differences with
covaraites |
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12 |
Lee |
B |
Quinlan Lee |
University of Toronto |
Identification of Impulse Response Functions
for Nonlinear Dynamic Models |
12. Quinlan Lee (University of Toronto): Identification of Impulse Response Functions for
Nonlinear Dynamic Models |
12 |
Liu |
A |
Chenyue Liu |
University of Toronto |
Non-parametric Identification of Dynamic
Treatment Effects: a Graphical Approach to Causality |
12. Chenyue Liu (University of
Toronto): Non-parametric Identification of Dynamic Treatment Effects: a
Graphical Approach to Causality |
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13 |
Maynard |
B |
Alex Maynard |
University of Guelph |
Order Flow and Cryptocurrency Returns |
13. Alex Maynard (University of Guelph): Order Flow and Cryptocurrency Returns |
13 |
Mai |
A |
Jiannan Mai |
University of Guelph |
GMM Estimation and Impulse Response Functions
of Spatial Dynamic Panel Simultaneous Equations Models with Two Way Fixed
Effects |
13. Jiannan Mai (University of
Guelph): GMM Estimation and Impulse Response Functions of Spatial Dynamic
Panel Simultaneous Equations Models with Two Way Fixed Effects |
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14 |
Parker |
A |
Tom Parker |
University of Waterloo |
Ranking Policies Under Loss Aversion and
Inequality Aversion |
14. Tom Parker (University of Waterloo): Ranking Policies Under Loss Aversion and
Inequality Aversion |
14 |
Ndoumbe |
B |
Emile Herve Ndoumbe |
University of Ottawa |
A Regime-Switching Approach for Detecting
Shock Transmission Types across Asset Markets, with an Application to
Sovereign Bond Markets. |
14. Emile Herve Ndoumbe (University
of Ottawa): A Regime-Switching Approach for Detecting Shock Transmission
Types across Asset Markets, with an Application to Sovereign Bond
Markets. |
16 |
Sakamoto |
A |
Kensuke Sakamoto |
University of Wisconsin-Madison |
Network Robust Inference for Fixed Effect
Regressions |
16. Kensuke Sakamoto (University of Wisconsin-Madison): Network Robust Inference for
Fixed Effect Regressions |
15 |
Neyazi |
B |
Aryan Manafi Neyazi |
York University |
Generalized Covariance Estimator under
Misspecification and Constraints |
15. Aryan Manafi Neyazi (York
University): Generalized Covariance Estimator under Misspecification and
Constraints |
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17 |
Sawadogo |
A |
Sidi Mohamed Sawadogo |
Université de Montréal and CIREQ |
Effects of Subsidies on Welfare and Market
Structure in the US Broadband Industry |
17. Sidi Mohamed Sawadogo (Université de Montréal and CIREQ): Effects of Subsidies on
Welfare and Market Structure in the US Broadband Industry |
16 |
Owusu |
B |
Julius Owusu |
Concordia University |
Randomization Inference of Heterogeneous
Treatment Effects under Network Interference |
16. Julius Owusu (Concordia
University): Randomization Inference of Heterogeneous Treatment Effects under
Network Interference |
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18 |
Serenidou |
A |
Elisavet Serenidou |
University of Guelph |
A framework of spatial models on regression
discontinuity design |
18. Elisavet Serenidou (University of Guelph): A framework of spatial models on
regression discontinuity design |
17 |
Schroeder |
A |
Adrian K. Schroeder |
University of Toronto |
Dynamic Factor Binary Panels: Identification
and Particle Filter Estimation |
17. Adrian K. Schroeder (University
of Toronto): Dynamic Factor Binary Panels: Identification and Particle Filter
Estimation |
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19 |
Shahryarpoor |
B |
Farhad Shahryarpoor |
Simon Fraser University |
Robust Estimation in Conditional Moment Models
with Time-Varying Parameters |
19. Farhad Shahryarpoor (Simon Fraser University): Robust Estimation in Conditional
Moment Models with Time-Varying Parameters |
18 |
Shin |
|
Youngki Shin |
McMaster University |
18. Youngki Shin (McMaster
University): |
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21 |
Tchuente |
A |
Guy Tchuente |
Purdue University |
Monetary Incentives, Landowner Preferences:
Estimating Cross-Elasticities in Farmland Conversion to Renewable Energy |
21. Guy Tchuente (Purdue University): Monetary Incentives, Landowner Preferences:
Estimating Cross-Elasticities in Farmland Conversion to Renewable Energy |
19 |
Sithole |
B |
Lonjezo Sithole |
University of Michigan |
Nonparametric Testability of Slutsky Symmetry |
19. Lonjezo Sithole (University of
Michigan): Nonparametric Testability of Slutsky Symmetry |
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22 |
Williams |
A |
Greg Williams |
None - Independent researcher |
Dominion and Divergence: Creighton,
Econometrics, and the National Energy Program |
22. Greg Williams (None - Independent researcher): Dominion and Divergence: Creighton,
Econometrics, and the National Energy Program |
20 |
Snudden |
A |
Stephen Snudden |
Wilfrid Laurier University |
Exact Mixed-Frequency Data Sampling (eMIDAS) |
20. Stephen Snudden (Wilfrid Laurier
University): Exact Mixed-Frequency Data Sampling (eMIDAS) |
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23 |
Xu |
B |
Dinghai Xu |
University of Waterloo |
Modeling “Good” and “Bad” Volatilities under a
General Threshold Realized Semivariance GARCH |
23. Dinghai Xu (University of Waterloo): Modeling “Good” and “Bad” Volatilities under a
General Threshold Realized Semivariance GARCH |
21 |
Sunada |
B |
Keita Sunada |
University of Rochester |
Optimal treatment assignment rules under
capacity constraints |
21. Keita Sunada (University of
Rochester): Optimal treatment assignment rules under capacity
constraints |
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24 |
Zhong |
B |
Cheng Zhong |
York University |
Intraday Functional PCA Forecasting of
Cryptocurrency Returns |
24. Cheng Zhong (York University): Intraday Functional PCA Forecasting of
Cryptocurrency Returns |
22 |
Wang |
A |
Endong Wang |
McGill University/University of Mannheim |
Causal mechanism and mediation analysis for
macroeconomics dynamics: a bridge of Granger and Sims causality |
22. Endong Wang (McGill
University/University of Mannheim): Causal mechanism and mediation analysis
for macroeconomics dynamics: a bridge of Granger and Sims causality |
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23 |
Xiao |
B |
Ruli Xiao |
Indiana University |
Separating the Wheat from the Chaff: Unveiling
ESG's True Impact by Correcting Measurement Errors |
23. Ruli Xiao (Indiana University):
Separating the Wheat from the Chaff: Unveiling ESG's True Impact by
Correcting Measurement Errors |
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24 |
Xie |
A |
Tian Xie |
University College London |
Automatic Inference for Value-Added
Regressions |
24. Tian Xie (University College
London): Automatic Inference for Value-Added Regressions |
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