Keane M; Krutikova S; Neal T, 2022, 'Child work and cognitive development: Results from four low to middle income countries', Quantitative Economics, vol. 13, pp. 425 - 465, http://dx.doi.org/10.3982/QE1745
Journal articles | 2020
Keane M; Neal T, 2020, 'Climate Change and U.S. Agriculture: Accounting for Multidimensional Slope Heterogeneity in Panel Data', Quantitative Economics
Journal articles | 2020
Keane M; Neal T, 2020, 'Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield', Econometrics Journal, vol. 23, pp. 59 - 80, http://dx.doi.org/10.1093/ectj/utaa012
Keane M; Neal T, 2016, 'The Keane and Runkle estimator for panel-data models with serial correlation and instruments that are not strictly exogenous', Stata Journal, vol. 16, pp. 523 - 549, http://dx.doi.org/10.1177/1536867x1601600301
Neal T, 2013, 'Using Panel Co-Integration Methods To Understand Rising Top Income Shares', Economic Record, vol. 89, pp. 83 - 98, http://dx.doi.org/10.1111/1475-4932.12018
Journal articles |
Keane MP; Krutikova S; Neal T, 'The Impact of Child Work on Cognitive Development: Results from Four Low to Middle Income Countries', SSRN Electronic Journal, http://dx.doi.org/10.2139/ssrn.3715593
Keane MP; Neal T, Comparing Deep Neural Network and Econometric Approaches to Predicting the Impact of Climate Change on Agricultural Yield, http://dx.doi.org/10.2139/ssrn.3521260
Keane MP; Neal T, The Impact of Climate Change on US Agriculture: The Roles of Adaptation Techniques and Emissions Reductions, http://dx.doi.org/10.2139/ssrn.3180480