- Econ 1b Materials Jason Lee Miller
- Econ 1b Materials Jason Lee Lewis
- Econ 1b Materials Jason Lee Smith
- Econ 1b Materialsjason Leerling
- Econ 1b Materials Jason Lee Md
Mehmet Caner: Professor of Economics-Professor of Statistics (Courtesy)-Member of Translational Data Analytics
This IB Economics study guide is organized according to the IB Economics Syllabus. 2020 IB Economics Exam Cancelled Due to COVID-19 Because of the COVID-19 (coronavirus) pandemic, all IB exams for May 2020 have been canceled and coursework deadlines have been extended for schools that have closed. Powered by Create your own unique website with customizable templates.
FALL 2018: (September 1 2018-Dec 31 2018) Visiting Professor: Columbia University, Department of Economics.
Specialty: Big Data Econometrics, Big Data Finance, Empirical International Finance-Policy
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- Economics seeks to solve the problem of scarcity, which is when human wants for goods and services exceed the available supply. A modern economy displays a division of labor, in which people earn income by specializing in what they produce and then use that income to purchase the products they need or want. The division of labor allows.
EC2: 2018-ROME-ITALY- Big Data Econometrics with Applications
Department of Economics: email: caner.12@osu.edu
Publications:
1. 'Asymptotically Honest Confidence Regions for High Dimensional Parameters by the Desparsified Conservative Lasso' with Anders B Kock (Oxford-Aarhus), 2018, J. of Econometrics, 203, 143-168.
In this paper we provide a simple closed form estimator which works even when the number of parameters exceed number of observations. This can be thought as extending least squares to high dimensions. We provide
heteroskedascity consistent standard errors, confidence intervals, and inference in large number of coefficients. At this point our code can be obtained from Anders B Kock.
We recommend conservative lasso based estimator coupled with BIC for applied economists. Closed form estimator is in equation (9) in the second equality. Here is an R code, for 1 of Tables with no correlation: desplasso2.R
2. 'Adaptive Elastic Net GMM Estimation with Many Invalid Moment Conditions: Simultaneous Model and Moment Selection' with X. Han (City Univ Hong Kong), Y. Lee (Syracuse). 2018. J. of Business and Economics Statistics,36, 24-46.
In the paper we propose a new estimator that can simultaneously estimate the structural parameters without using invalid moments even though there may be invalid moments. If we have locally invalid moments, we use them to get estimates and get an more efficient result. The code: please consult Xu Han. For a sample dynamic panel data code: dpanel1.R
3.'Sharp Threshold Detection Based on Sup-norm Error Rates in High Dimensional Models' with L. Callot, (Free Univ. Amsterdam), A.B. Kock (Arhus Uni), and J.A. Riquelme, 2017, 35, 250-264. J. of Business and Economics Statistics.
In the paper we develop a new estimator for structural coefficients in a threshod model in hi dimensional framework. We are able to show in which variables regime shift occurs, also simultaneously we see whether there is a regime shift. In this sense, it gets rid of two step former process of testing for threshold and then estimating the model.
4.“Determining the number of factors with potentially strong block correlation error
terms” Econometric Reviews, 2017, 36, 946-969.(main author: Xu Han, Caner
Contribution is very very minor).
Paper is availaible from Xu Han.
5. An oracle inequality for Convex Models ' with A. Bredahl Kock , Arhus. Econometric Reviews, 2016, 35, 1377-1411.
This is an article that proves an oracle inequality for elastic net in a general convex loss function. This generalizes Buhlmann and Van de Geer , 2011 book result of convex loss with lasso to elastic net.
6.'Moment and IV selection approaches: A Comparative Simulation Study'. with Essie Maasoumi, J. Andres Riquelme, Econometric Reviews,2016, 35, 1562-1581.
A simulation study that analyzes moment selection approaches in an IV framework, also looks at large number of moments case. Adaptive lasso based technique does well generally. The computer programs can be obtained from jariquel@ncsu.edu. (Juan Andres Riquelme)
7.'Hybrid GEL Estimators: Instrument Selection with Adaptive Lasso', with Michael Fan, Xiamen University, WISE, Journal of Econometrics.July 2015, 187, 256-274.
This paper analyzes GEL estimators after selecting the instruments through adaptive lasso. Has favorable finite sample properties, please see M Fan for code:qfan@ncsu.edu. or michaelqfan@gmail.com.
8.'Near Exogeneity and Weak Identification in Generalized Empirical Likelihood Estimators: Many Moment Asymptotics', 2014, Journal of Econometrics, vol. 18, Issue 2, p.247-268.
This article analyzes tests in a general violation of exogeneity setting in combination with many weak moments in generalized empirical likelihood estimators. The interesting result is both the mean and variance for estimators change due to this violation. We have new limits for estimators and tests depending on the magnitude of the violation as well as the number of moments. A gauss code for TABLE 4B for Anderson-Rubin test is provided: arnem and R Version of the same program: arnem.R Episode 1unblocked evrything.
9.'Selecting the Correct Number of Factors in Approximate Factor
Models: The Large Panel Case with Group Bridge Estimator' 2014, Journal of Business and Economics Statistics, with Xu Han, City University of Hong Kong, vol.32, issue 3, 359-374.
For code please consult Xu Han. The paper provides a novel way of selecting number of factors thru factor loading penalization. On the way it introduces a new group bridge shrinkage estimator.
10.'Adaptive Elastic Net GMM with Diverging Number of Moments', 2014 , vol.32, p30-47, Journal of Business and Economics Statistics, joint with Helen Zhang, Math Department, University of Arizona. Gauss code for simulations in the text aenet2.
R code aenetgmm.Rwho does limited simulations, but some initial value problems in optimizer, please run several times. The paper shows adaptive elastic net with diverging number of moments, but does only model selection with diverging number of parameters, no moment selection in this paper.
11. 'Valid Tests When Instrumental Variables Do Not Perfectly Satisfy the Exclusion Restriction' 2013, Stata Journal, , Andres Riquelme, Dan Berkowitz,. This is STATA function for paper 'The Validity of Instruments Revisited' J. of Econometrics, 2012,below. Shows a resampling technique that is robust to minor violations of exogeneity, and uses data dependent critical values for Anderson-Rubin test. It contains a better function than paper 6, and has extensive simulations in the paper, and empirical example.
12. 'An Alternative to Unit Root Tests: Bridge Estimators Differentiate between Nonstationary versus Stationary Models and Select Optimal Lag', 2013, 143, 691-715 Journal of Statistical Planning and Inference, with Keith Knight, University of Toronto,
Department of Statistics. The paper proposes Bridge estimators to select nonstationary versus stationary models.
A gauss program that we used in simulations, Table 1b, Setup1, Design 1: ubridgebics1, and an R program that shows how to implement this with simulated data: urbbic.R
Econ 1b Materials Jason Lee Miller
13. 'CUE with nearly-singular design and many weak moment asymptotics'. 2012, Journal of Econometrics,170, p.422-441, with N. Yildiz,
The paper finds what happens when there are highly correlated instruments in a many weak asymptotics framework.
A computer program for simulations in Table 2, in Gauss: jkgmm1
14. 'The Validity of Instruments Revisited', 2012, Journal Of Econometrics,(with Dan Berkowitz,Univ. of Pittsburgh,Ying Fang, Xiamen Univ.) Vol.166-2, 255-267.
This paper calculates a resampled Anderson-Rubin test that is also robust to local violations of exogeneity in instruments.
Gauss Files:sbcfrh(calculates Table 12, row 3, in our paper), far (shows how to do this with controls), t7a(an application with table7a dataset from Acemoglu-Johnson-Robinson,AER, 2001)
Download data in csv file corrupt after email. Stata files:far.ado is a function, and here is the help file: far.pdf and Table7a.dta is from Acemoglu-Johnson-Robinson,AER, 2001. You can load your own data and use this program, just you have to enter variable names.
15. 'Editor's Introduction, Thirty years of GMM', 2012, Journal of Econometrics, (with Marine Carrasco (main editor), Yuichi Kitamura, Eric Renault)166-2, 251-255.
16. 'Pivotal Structural Change Tests in Linear Simultaneous Equations Models with Weak Identification', 2011 Econometric Theory. Vol 27.2. 413-427.
Econ 1b Materials Jason Lee Lewis
17.'A Pretest to Differentiate Between Weak and Nearly-Weak Instrument Asymptotics', 2011, International Econometric Review.
18.'Determinants of Norwegian Sovereign Wealth Fund Shares: Lucas Paradox Survives', with Turanay Caner, Tom Grennes.2011, Global Economy Journal, Berkeley Electronic Press.
19. 'Exponential Tilting with Weak Instruments: Estimation and Testing', 2010, Oxford Bulletin of Economics and Statistics.72, 307-326.
20. 'Sovereign Wealth Funds: the Norwegian Experience' with Tom Grennes, The World Economy, 2010, 33, 597-614.
21. 'Testing, Estimation in GMM and CUE with Nearly-Weak Identification', Econometric Reviews, 2010, 29, 330-363 .
22.Book Chapter: 'Finding The Tipping Point-When Sovereign Debt Turns Bad' Sovereign Debt and Financial Crisis ,(refereed), 2010, (joint with Tom Grennes,NCSU, Fritzi Koehler-Geib, World Bank),p64-75.
23. 'The Norwegian Sovereign Wealth Fund' (joint with Tom Grennes,NCSU). Revue d'Economie Financiere, 2009.(Invited Article)
24. 'LASSO Type GMM Estimator' Econometric Theory, 2009, 25, 1-23.
25. 'Nearly-Singular Design in GMM and Generalized Empirical Likelihood Estimators' Journal of Econometrics, 2008, 144, 511-523.
26.'Are Nearly Exogenous Instruments Reliable?' with D. Berkowitz, Y. Fang, Economics Letters, 2008, 101, 20-23.
27. 'Boundedly Pivotal Structural Change Tests in Continuous Updating GMM with Strong, Weak Identification and Completely Unidentified Cases' Journal of Econometrics, 2007, 137, 28-67.
28. ' M Estimators with Non-Standard Rates of Convergence and Weakly Dependent Data', April 2006, Journal of Statistical Planning and Inference, 136, 1207-1219.
29. Corrigendum with
30. 'Are Real Exchange Rates non-stationary or non-linear? Evidence from a new Threshold Unit Root Test,' (with E. Basci, Central Bank of
31. ' Instrumental Variable Estimation of a Threshold Model,' ( with Bruce Hansen,
32. 'Time-Varying Betas Help in Asset Pricing: Threshold CAPM,' ( with L. Akdeniz and A. Salih, Bilkent University). Studies in Nonlinear Dynamics and Econometrics 2003, January.
33.' A Note on LAD Estimation of a Threshold Model,' Econometric Theory, 18, June 2002, 800-814. (Appeared in Articles Section)
34.' Threshold Autoregressions with a Unit Root,' ( with Bruce E. Hansen), Econometrica,69, November 2001, 1555-1597.
35. ' Size Distortions of Tests of the Null Hypothesis of Stationarity: Evidence and Implications for the PPP debate,' (with Lutz Kilian, Univ. of Michigan), Journal of International Money and Finance, 20, October 2001, 639-657.
36. 'Tests for Cointegration with Infinite Variance Errors,' Journal of Econometrics, 86, September 1998,155-175.
37. 'A Locally Optimal Seasonal Unit Root Test,' Journal of Business and Economic Statistics, 16, July 1998, 349-356.
38. 'Weak Convergence to a Matrix Stochastic Integral with Stable Processes,' Econometric Theory, 13, August 1997,506-29.
SUBMITTED PAPERS
.Partial Identification via Shrinkage, with Federico Bugni, Anders Bredahl Kock, Soumen Lahiri.
'Public and Private Debt Interaction in GDP Growth: Dynamic Panel Threshold Approach' with . M. Q, Fan, Tom Grennes.
'High Dimensional GMM' with Anders B Kock.
' A relaxed approach to empirical gram matrix estimation in large portfolios' joint with Esra Ulasan, Ozlem Onder.
'Delta Theorem in the Age of High Dimensions'.
WORK IN PROGRESS:
' Incentive Compatibility and Lasso' with Kfir Eliaz, Ran Spiegler.' Maximal Sharpe Ratio-Constrained Case in High Dimensions' with Marcelo Medeiros, Gabriel Vasconcelos..
.
AWARDS
Journal of Econometrics Fellow, 2012.
Caesar 3 download italiano. Multa Scripsit Award, Econometric Theory, 2005.
Owens Scholar 2012-2013, NCSU.
Outstanding Faculty,
Department Research Growth & Innovation Award, 2009, North Carolina State University, Economics Department.
EDITORIAL ACTIVITY :
1. Associate Editor, Journal of Econometrics, Jan 1 2013-.
2. Associate Editor, Journal of Business and Economics Statistics, Jan 1 2014-
Econ 1b Materials Jason Lee Smith
3. Associate Editor, Econometric Reviews, 2013 January-.
4. Associate Editor, Studies in Nonlinear Dynamics and Econometrics, 2012 March-.2016 January.
Econ 1b Materialsjason Leerling
5.Co-Editor, Special Issue of Journal Of Econometrics, 25 years of GMM, 2009-2012, OCTOBER 2012 ISSUE.
6. Co-Editor, Special Issue of Econometric Reviews, Model Selection and Shrinkage 2016.
Ph.D Students: Advised: 1. George Levi Gayle, (Reader),
SHORT TERM CONSULTING: THE WORLD BANK: JAN 2010, JUNE 2011.
Econ 1b Materials Jason Lee Md
Member, Scientific Advisory Board, CEFAGE, Portugal.