JEL classification

Journal of Economic Literature Classification (10696) C - Mathematical and Quantitative Methods (1374) C5 - Econometric Modeling (171) C50 - General (35)
Number of items at this level: 35.
A
  • Andini, Monica, Ciani, Emanuele, de Blasio, Guido, D'Ignazio, Alessio, Salvestrini, Viola (2018). Targeting with machine learning: an application to a tax rebate program in Italy. Journal of Economic Behavior & Organization, 156, 86-102. https://doi.org/10.1016/j.jebo.2018.09.010
  • Bhimani, Alnoor, Hausken, Kjell, Arif, Sameen (2022). Do national development factors affect cryptocurrency adoption? Technological Forecasting and Social Change, 181, https://doi.org/10.1016/j.techfore.2022.121739 picture_as_pdf
    • B
  • Bloom, Nicholas, Davis, Steven J., Hansen, Stephen, Lambert, Peter John, Sadun, Raffaella, Taska, Bledi (2023). Remote work across jobs, companies and space. (CEP Discussion Papers CEPDP1935). London School of Economics and Political Science. Centre for Economic Performance. picture_as_pdf
  • Bond, Stephen, Van Reenen, John (2007). Microeconometric models of investment and employment. In Heckman, James J., Leamer, Edward E. (Eds.), Handbook of Econometrics (pp. 4417-4498). North-Holland. https://doi.org/10.1016/S1573-4412(07)06065-5
  • Boucher, Christophe M., Danielsson, Jon, Kouontchou, Patrick S., Maillet, Bertrand B. (2014). Risk models–at–risk. (Systemic Risk Centre Discussion Papers 8). Systemic Risk Centre, The London School of Economics and Political Science.
  • Bryzgalova, Svetlana, Huang, Jiantao, Julliard, Christian (2023). Bayesian solutions for the factor zoo: we just ran two quadrillion models. Journal of Finance, 78(1), 487-557. https://doi.org/10.1111/jofi.13197 picture_as_pdf
    • C
  • Campos, Nauro F., Macchiarelli, Corrado (2021). The dynamics of core and periphery in the European monetary union: a new approach. Journal of International Money and Finance, 112, https://doi.org/10.1016/j.jimonfin.2020.102325 picture_as_pdf
  • Canay, Ivan A., Otsu, Taisuke (2012). Hodges–Lehmann optimality for testing moment conditions. Journal of Econometrics, 171(1), 45-53. https://doi.org/10.1016/j.jeconom.2012.06.014
  • Cen, Zetai, Lam, Clifford (2025). Tensor time series imputation through tensor factor modelling. Journal of Econometrics, 249(Part B). https://doi.org/10.1016/j.jeconom.2025.105974 picture_as_pdf
  • Chan, W., Ng, M. W., Tong, Howell (2006). On a simple graphical approach to modelling economic fluctuations with an application to United Kingdom price inflation, 1265-2005. Annals of Actuarial Science, 1(1), 103-128. https://doi.org/10.1017/S1748499500000075
  • Chang, Jinyuan, Chen, Cheng, Qiao, Xinghao, Yao, Qiwei (2023). An autocovariance-based learning framework for high-dimensional functional time series. Journal of Econometrics, 239(2). https://doi.org/10.1016/j.jeconom.2023.01.007 picture_as_pdf
  • Chapa, Joana, Ortega, Araceli (2017). Identifying the main emitters of carbon dioxide in Mexico: a multi-sectoral study. Economía, 17(2), 135 - 172. https://doi.org/10.31389/eco.69 picture_as_pdf
  • Maynou, Laia, Coll-de-Tuero, Gabriel, Saez, Marc (2019). The effects of copayment in primary health care: evidence from a natural experiment. European Journal of Health Economics, 20(8), 1237-1248. https://doi.org/10.1007/s10198-019-01089-4 description
    • D
  • De la Torre, Augusto, Ize, Alain (2010). Containing systemic risk: paradigm-based perspectives on regulatory reform. Economía, 11(1), 25 - 52. https://doi.org/10.1353/eco.2010.0008 picture_as_pdf
    • E
  • Elsayed, Ahmed H., Sousa, Ricardo M. (2024). International monetary policy and cryptocurrency markets: dynamic and spillover effects. European Journal of Finance, 30(16), 1855 - 1875. https://doi.org/10.1080/1351847X.2022.2068375 picture_as_pdf
  • Etilé, Fabrice, Frijters, Paul, Johnston, David W., Shields, Michael A. (2021). Measuring resilience to major life events. Journal of Economic Behavior and Organization, 191, 598 - 619. https://doi.org/10.1016/j.jebo.2021.09.004 picture_as_pdf
    • G
  • Ghosh, Anisha, Julliard, Christian, Stutzer, Michael J. (2024). The market cost of business cycle fluctuations. Management Science, picture_as_pdf
    • H
  • Hogh, N., Linton, Oliver, Nielsen, J.P. (2006). The Froot-Stein model revisited. Annals of Actuarial Science, 1(1), 37-47. https://doi.org/10.1017/S174849950000004X
  • Rising, James A., Hussain, Azhar, Schwarzwald, Kevin, Trisovic, Ana (2024). A practical guide to climate econometrics: navigating key decision points in weather and climate data analysis. Journal of Open Source Education, 7(75), p. 90. https://doi.org/10.21105/jose.00090 picture_as_pdf
    • J
  • de Grauwe, Paul, Kaltwasser, Pablo Rovira (2012). The exchange rate in a behavioral finance framework. In James, Jessica, Marsh, Ian, Sarno, Lucio (Eds.), Handbook of Exchange Rates (pp. 111-132). Wiley-Blackwell.
    • K
  • Kavetsos, Georgios, Szymanski, Stefan (2008). Olympic Games, terrorism and their impact on the London and Paris stock exchanges. Revue d’Economie Politique, 118(2), 189-206.
  • Morgan, Mary S., Knuuttila, Tarja (2012). Models and modelling in economics. In Mäki, Uskali (Ed.), Philosophy of Economics (pp. 49-87). Elsevier (Firm).
    • M
  • Mitrodima, Gelly, Oberoi, Jaideep (2024). CAViaR models for Value-at-Risk and Expected Shortfall with long range dependency features. Journal of the Royal Statistical Society. Series C: Applied Statistics, 73(1), 1 - 27. https://doi.org/10.1093/jrsssc/qlad081 picture_as_pdf
    • N
  • Stich, Christoph, Tranos, Emmanouil, Nathan, Max (2023). Modeling clusters from the ground up: a web data approach. Environment and Planning B: Urban Analytics and City Science, 50(1), 244 - 267. https://doi.org/10.1177/23998083221108185 picture_as_pdf
    • O
  • Tinelli, Michela, Ryan, Mandy, Odejar, M. (2005-07-06 - 2005-07-07) Comparing alternative approaches to designing discrete choice experiments [Paper]. 3rd Workshop: Advancing the Methodology of Discrete Choice Experiments in Health Economics, Gran Canaria, Spain, ESP.
  • Tinelli, Michela, Ryan, Mandy, Odejar, M. (2005-06-29 - 2005-07-01) Deriving welfare estimates in discrete choice experiments with multiple choice options [Paper]. The 67th Health Economists' Study Group Meeting, Newcastle, United Kingdom, GBR.
  • Tinelli, Michela, Ryan, Mandy, Odejar, M. (2005-07-06 - 2005-07-07) Deriving welfare estimates in discrete choice experiments with multiple choice options [Paper]. 3rd Workshop: Advancing the Methodology of Discrete Choice Experiments in Health Economics, Gran Canaria, Spain, ESP.
    • Q
  • Quah, Danny (1991). The relative importance of permanent and transitory components: identification and some theoretical bounds. (Financial Markets Group Discussion Papers 126). Financial Markets Group, The London School of Economics and Political Science. picture_as_pdf
    • R
  • Tinelli, Michela, Ryan, Mandy (2006-07-26 - 2006-07-28) Alternative approaches to deriving welfare estimates in discrete choice experiments [Paper]. The 69th Health Economists' Study Group Meeting, University of York, United Kingdom, GBR.
  • de Almeida Vilares, Hugo, Reis, Hugo (2022). Who's got the power? Wage determination and its resilience in the Great Recession. (CEP Discussion Papers 1885). London School of Economics and Political Science. Centre for Economic Performance. picture_as_pdf
    • S
  • Santos Silva, Joao, Tenreyro, Silvana (2009). Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator. (CEP Discussion Papers 933). London School of Economics and Political Science. Centre for Economic Performance.
  • Santos Silva, Joao, Tenreyro, Silvana (2009). On the existence of the maximum likelihood estimates for Poisson regression. (CEP Discussion Papers 932). London School of Economics and Political Science. Centre for Economic Performance.
  • Santos Silva, Joao, Tenreyro, Silvana (2009). Trading partners and trading volumes: implementing the Helpman-Melitz-Rubinstein model empirically. (CEP Discussion Papers 935). London School of Economics and Political Science. Centre for Economic Performance.
    • Z
  • Ziemba, William (2020). Parimutuel betting markets: racetracks and lotteries revisited. (Systemic Risk Centre Discussion Papers 103). Systemic Risk Centre, The London School of Economics and Political Science. picture_as_pdf
  • Ziemba, William T. (2023). Pari-mutuel betting markets: racetracks and lotteries revisited. Annual Review of Financial Economics, 15, 641 - 662. https://doi.org/10.1146/annurev-financial-053122-021925 picture_as_pdf