Explore the words cloud of the MiMo project. It provides you a very rough idea of what is the project "MiMo" about.
The following table provides information about the project.
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE
|Coordinator Country||United Kingdom [UK]|
|Total cost||1˙294˙739 €|
|EC max contribution||1˙294˙739 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2017-01-01 to 2021-12-31|
Take a look of project's partnership.
|1||THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE||UK (CAMBRIDGE)||coordinator||1˙192˙696.00|
|2||FONDATION NATIONALE DES SCIENCES POLITIQUES||FR (PARIS)||participant||102˙042.00|
Unobserved differences between economic agents are an important driver behind the differences in their economic outcomes such as schooling decisions, wages, and employment durations. Allowing for such unobserved heterogeneity in economic modeling equips the specification with an additional dimension of realism but presents major challenges for econometric practice. Hence, reconciling heterogeneity in the data with econometric models is an issue of utmost importance.
The aim of this project is to develop inference methods for models with unobserved heterogeneity by exploiting the identifying power of longitudinal (panel) data. The project consists of three blocks. Together, they span the largest part of modern applications of panel data.
The first block deals with inference on nonlinear models and enhances the performance of statistical hypothesis tests. So far, the literature has focused on point estimation. However, it is statistical inference that accounts for uncertainty in the data and forms the basis for testing economic restrictions. The second block makes progress on the estimation of models for network data. The importance of social and economic connections is well established but few formal results are available. We exploit the fact that network data can be seen as a type of panel data to derive such results. The third block uses panel data to non-parametrically estimate dynamic discrete-choice models with unobserved type heterogeneity and/or latent state variables. Such results are inexistent even though dynamic discrete-choice models are a workhorse tool in labor economics and industrial organization.
The performance of the tools will be assessed theoretically and via simulation, and they will be applied to various empirical problems. Two examples of applications that we will study are the extensive margin of labor force participation and the determinants of the import and export behavior of firms and countries.
|year||authors and title||journal||last update|
XTSERIALPM: A portmanteau test for serial correlation in a linear panel model
published pages: , ISSN: , DOI: 10.17863/cam.40108
|Cambridge Working Papers in Economics 1944||2020-01-23|
Heteroskedasticity-robust inference in linear regression models
published pages: , ISSN: , DOI: 10.17863/cam.41227
|Cambridge Working Papers in Economics 1957||2020-01-23|
Jochmans, Koen; Weidner, Martin
Fixed-effect regressions on network data
published pages: , ISSN: 0012-9682, DOI: 10.17863/CAM.39733
|Econometrica (2019) (In press). 1||2020-01-23|
TWEXP and TWGRAVITY: Estimating exponential-regression models with two-way fixed effects
published pages: , ISSN: , DOI: 10.17863/cam.40109
|Cambridge Working Papers in Economics 1945||2020-01-23|
Likelihood Corrections for Two-way Models
published pages: 227, ISSN: 2115-4430, DOI: 10.15609/annaeconstat2009.134.0227
|Annals of Economics and Statistics 134||2020-01-23|
Jochmans, Koen; Weidner, Martin
Inference on a distribution from noisy draws
published pages: , ISSN: , DOI: 10.17863/CAM.40110
|Cambridge Working Papers in Economics 1946||2020-01-23|
Testing for correlation in error-component models
published pages: , ISSN: , DOI: 10.17863/cam.37451
|Cambridge Working Paper in Economics 1910||2020-01-23|
A PORTMANTEAU TEST FOR CORRELATION IN SHORT PANELS
published pages: 1-8, ISSN: 0266-4666, DOI: 10.1017/s0266466619000203
Koen Jochmans, Thierry Magnac
A note on sufficiency in binary panel models
published pages: 259-269, ISSN: 1368-4221, DOI: 10.1111/ectj.12091
|The Econometrics Journal 20/2||2020-01-23|
Semiparametric Analysis of Network Formation
published pages: 705-713, ISSN: 0735-0015, DOI: 10.1080/07350015.2017.1286242
|Journal of Business & Economic Statistics 36/4||2020-01-23|
StÃ©phane Bonhomme, Koen Jochmans, Jean-Marc Robin
Nonparametric estimation of non-exchangeable latent-variable models
published pages: 237-248, ISSN: 0304-4076, DOI: 10.1016/j.jeconom.2017.08.006
|Journal of Econometrics 201/2||2020-01-23|
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The information about "MIMO" are provided by the European Opendata Portal: CORDIS opendata.
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