Jann Spiess : Citation Profile

Are you Jann Spiess?

Stanford University

6

H index

4

i10 index

785

Citations

RESEARCH PRODUCTION:

5

Articles

17

Papers

RESEARCH ACTIVITY:

   11 years (2013 - 2024). See details.
   Cites by year: 71
   Journals where Jann Spiess has often published
   Relations with other researchers
   Recent citing documents: 285.    Total self citations: 3 (0.38 %)

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   Permalink: http://citec.repec.org/psp218
   Updated: 2024-12-03    RAS profile: 2023-12-07    
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Relations with other researchers

Works with:

Mullainathan, Sendhil (4)

Milkman, Katherine (2)

Imbens, Guido (2)

Kasy, Maximilian (2)

Karlan, Dean (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Jann Spiess.

Is cited by:

Dang, Hai-Anh (8)

Fetzer, Thiemo (8)

Becker, Sascha (7)

Prufer, Patricia (7)

Prüfer, Jens (7)

Kohlscheen, Emanuel (6)

Kohlscheen, Emanuel (6)

de Blasio, Guido (6)

Rode, Johannes (5)

Lechner, Michael (5)

Novy, Dennis (5)

Cites to:

Athey, Susan (21)

Imbens, Guido (15)

Ottaviani, Marco (8)

Mullainathan, Sendhil (7)

Gans, Joshua (7)

Bryan, Kevin (7)

Heckman, James (6)

Abadie, Alberto (6)

Vytlacil, Edward (6)

Chernozhukov, Victor (5)

Blundell, Richard (5)

Main data

Where Jann Spiess has published?

Working Papers Series with more than one paper published# docs
Papers / arXiv.org14

Recent works citing Jann Spiess (2024 and 2023)

YearTitle of citing document
2023Supporting Language Development through a Texting Program: Initial Results from Denmark. (2023). Loeb, Susanna ; Simonsen, Marianne ; Riis-Vestergaard, Michala Iben. In: Economics Working Papers. RePEc:aah:aarhec:2023-01.

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2023Better Lee Bounds. (2020). Semenova, Vira. In: Papers. RePEc:arx:papers:2008.12720.

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2023Causal Inference for Spatial Treatments. (2020). Pollmann, Michael. In: Papers. RePEc:arx:papers:2011.00373.

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2023Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules. (2021). Narita, Yusuke ; Yata, Kohei. In: Papers. RePEc:arx:papers:2104.12909.

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2024Synthetic Controls for Experimental Design. (2021). Zhao, Jinglong ; Abadie, Alberto. In: Papers. RePEc:arx:papers:2108.02196.

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2023EmTract: Investor Emotions and Market Behavior. (2021). Skog, Rolf ; Vamossy, Domonkos. In: Papers. RePEc:arx:papers:2112.03868.

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2024Algorithmic Design: Fairness Versus Accuracy. (2021). Lu, Jay ; Liang, Annie ; Mu, Xiaosheng. In: Papers. RePEc:arx:papers:2112.09975.

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2024Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period. (2022). Pasquier, F'Elix ; D'Haultfoeuille, Xavier ; de Chaisemartin, Cl'Ement ; Vazquez-Bare, Gonzalo. In: Papers. RePEc:arx:papers:2201.06898.

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2023Cryptocurrency Valuation: An Explainable AI Approach. (2022). Zhang, Luyao ; Liu, Yulin. In: Papers. RePEc:arx:papers:2201.12893.

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2023Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets. (2022). Magris, Martin ; Iosifidis, Alexandros ; Shabani, Mostafa. In: Papers. RePEc:arx:papers:2203.03613.

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2024Selection and parallel trends. (2022). Ghanem, Dalia ; Wuthrich, Kaspar. In: Papers. RePEc:arx:papers:2203.09001.

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2023Extraction of deterministic components for high frequency stochastic process -- an application from CSI 300 index. (2022). Sengupta, Indranil ; Zhou, Yan ; Sun, Baiqing ; Hui, Xianfei. In: Papers. RePEc:arx:papers:2204.02891.

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2024The Fairness of Credit Scoring Models. (2022). Saurin, S'Ebastien ; Hurlin, Christophe. In: Papers. RePEc:arx:papers:2205.10200.

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2024On Deep Generative Modeling in Economics: An Application with Public Procurement Data. (2022). Sadoune, Igor ; Lodi, Andrea ; Joanis, Marcelin. In: Papers. RePEc:arx:papers:2207.12255.

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2023What does machine learning say about the drivers of inflation?. (2022). Kohlscheen, Emanuel. In: Papers. RePEc:arx:papers:2208.14653.

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2023Generalized Difference-in-differences Models: Robust Bounds. (2022). D'esir'e K'edagni, ; Ban, Kyunghoon. In: Papers. RePEc:arx:papers:2211.06710.

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2024Digital Divide: Empirical Study of CIUS 2020. (2023). Jasiak, Joann ; Tuvaandorj, Purevdorj ; MacKenzie, Peter. In: Papers. RePEc:arx:papers:2301.07855.

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2023A Machine Learning Approach to Measuring Climate Adaptation. (2023). Vilgalys, Max. In: Papers. RePEc:arx:papers:2302.01236.

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2023Microfoundations of Expected Utility and Response Times. (2023). Valdesedwards, Gonzalo ; Salvador, Valdes. In: Papers. RePEc:arx:papers:2302.09421.

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2024Decomposition and Interpretation of Treatment Effects in Settings with Delayed Outcomes. (2023). McBride, Steve ; Canay, Ivan A ; Bugni, Federico A. In: Papers. RePEc:arx:papers:2302.11505.

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2023Machine Learning for Economics Research: When What and How?. (2023). Desai, Ajit. In: Papers. RePEc:arx:papers:2304.00086.

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2023Machine Learning for Zombie Hunting: Predicting Distress from Firms Accounts and Missing Values. (2023). Rungi, Armando ; Riccaboni, Massimo ; Incerti, Fabio ; Bargagli-Stoffi, Falco J. In: Papers. RePEc:arx:papers:2306.08165.

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2023Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors. (2023). Tsay, Ruey S ; Gao, Zhaoxing. In: Papers. RePEc:arx:papers:2307.07689.

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2024Synthetic Control Methods by Density Matching under Implicit Endogeneity. (2023). McAlinn, Kenichiro ; Imaizumi, Masaaki ; Ohda, Akari ; Kato, Masahiro. In: Papers. RePEc:arx:papers:2307.11127.

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2023Causal Interpretation of Linear Social Interaction Models with Endogenous Networks. (2023). Hoshino, Tadao. In: Papers. RePEc:arx:papers:2308.04276.

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2023Non-linear dimension reduction in factor-augmented vector autoregressions. (2023). Klieber, Karin. In: Papers. RePEc:arx:papers:2309.04821.

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2024What To Do (and Not to Do) with Causal Panel Analysis under Parallel Trends: Lessons from A Large Reanalysis Study. (2023). Xu, Yiqing ; Liu, Ziyi ; Lan, Xingchen ; Chiu, Albert. In: Papers. RePEc:arx:papers:2309.15983.

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2023Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867.

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2023Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables. (2023). Hirshberg, David ; Arkhangelsky, Dmitry. In: Papers. RePEc:arx:papers:2311.13575.

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2024AI Use in Manuscript Preparation for Academic Journals. (2023). Martin, Daniel ; Chemaya, Nir. In: Papers. RePEc:arx:papers:2311.14720.

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2024Causal Models for Longitudinal and Panel Data: A Survey. (2023). Imbens, Guido ; Arkhangelsky, Dmitry. In: Papers. RePEc:arx:papers:2311.15458.

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2023Economic Forecasts Using Many Noises. (2023). Neuhierl, Andreas ; Liao, Yuan ; Shi, Zhentao ; Ma, Xinjie. In: Papers. RePEc:arx:papers:2312.05593.

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2024Fused Extended Two-Way Fixed Effects for Difference-in-Differences with Staggered Adoptions. (2023). Faletto, Gregory. In: Papers. RePEc:arx:papers:2312.05985.

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2024Estimating Causal Effects with Double Machine Learning -- A Method Evaluation. (2024). Papies, Dominik ; Berens, Philipp ; Fuhr, Jonathan. In: Papers. RePEc:arx:papers:2403.14385.

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2024Social Media Emotions and Market Behavior. (2024). Vamossy, Domonkos F. In: Papers. RePEc:arx:papers:2404.03792.

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2024The value of non-traditional credentials in the labor market. (2024). Athey, Susan ; Palikot, Emil. In: Papers. RePEc:arx:papers:2405.00247.

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2023Application of Artificial Intelligence and Machine Learning in the Conduct of Monetary Policy by Central Banks. (2023). Georgieva, Sonya. In: Economic Studies journal. RePEc:bas:econst:y:2023:i:8:p:177-199.

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2023.

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2023Identifying Nascent High-Growth Firms Using Machine Learning. (2023). Houle, Stephanie ; MacDonald, Ryan. In: Staff Working Papers. RePEc:bca:bocawp:23-53.

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2023Forecasting fiscal crises in emerging markets and low-income countries with machine learning models. (2023). Moro, Alessandro ; de Marchi, Raffaele. In: Temi di discussione (Economic working papers). RePEc:bdi:wptemi:td_1405_23.

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2024Luck of the Draw: The Causal Effect of Physicians on Birth Outcomes. (2024). Saravia, Estefania ; Guarin, Arlen ; Tamayo, Jorge ; Posso, Christian. In: Borradores de Economia. RePEc:bdr:borrec:1269.

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2023Financial access and labor market outcomes: evidence from credit lotteries. (2023). Skrastins, Janis ; Schoenherr, David ; Gomes, Armando ; Nazar, Bernardus F. In: BIS Working Papers. RePEc:bis:biswps:1071.

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2023gingado: a machine learning library focused on economics and finance. (2023). Godoy, Douglas Kiarelly. In: BIS Working Papers. RePEc:bis:biswps:1122.

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2024Employer ratings in social media and firm performance: Evidence from an explainable machine learning approach. (2024). Ranta, Mikko ; Ylinen, Mika. In: Accounting and Finance. RePEc:bla:acctfi:v:64:y:2024:i:1:p:247-276.

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2023.

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2023Artificial intelligence adoption in a competitive market. (2023). Gans, Joshua S. In: Economica. RePEc:bla:econom:v:90:y:2023:i:358:p:690-705.

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2023Relative Valuation with Machine Learning. (2023). Lu, Helen ; Geertsema, Paul. In: Journal of Accounting Research. RePEc:bla:joares:v:61:y:2023:i:1:p:329-376.

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2023.

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2023Predicting the deterrence effect of tax audits. A machine learning approach. (2023). Battiston, Pietro ; Rabasco, Michele. In: Metroeconomica. RePEc:bla:metroe:v:74:y:2023:i:3:p:531-556.

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2023Local attributes and migration balance – evidence for different age and skill groups from a machine learning approach. (2023). Peters, Jan Cornelius ; Stiller, Johannes ; Niebuhr, Annekatrin ; Meister, Moritz. In: Regional Science Policy & Practice. RePEc:bla:rgscpp:v:15:y:2023:i:4:p:794-825.

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2023Going beyond optimal distinctiveness: Strategic positioning for gaining an audience composition premium. (2023). Zhao, Eric Yanfei ; Majzoubi, Majid. In: Strategic Management Journal. RePEc:bla:stratm:v:44:y:2023:i:3:p:737-777.

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2023Robust inference for matching under rolling enrollment. (2023). Samuel, Pimentel ; Amanda, Glazer. In: Journal of Causal Inference. RePEc:bpj:causin:v:11:y:2023:i:1:p:19:n:1.

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2023Instrumental Variable Estimation with Many Instruments Using Elastic-Net IV. (2023). Skolkova, Alena. In: CERGE-EI Working Papers. RePEc:cer:papers:wp759.

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2024Mapping Out Institutional Discrimination: The Economic Effects of Federal “Redlining”. (2024). Perdoni, Luca ; Hynsjo, Disa M. In: CESifo Working Paper Series. RePEc:ces:ceswps:_11098.

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2023Predicting Firm Exits with Machine Learning: Implications for Selection into COVID-19 Support and Productivity Growth. (2023). Vogt, Benedikt ; Kattenberg, Mark ; Davies, Lily. In: CPB Discussion Paper. RePEc:cpb:discus:444.

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2023Predictability and (co-)incidence of labor and health shocks. (2023). Hekkelman, Brinn ; Cammeraat, Emile ; Vissers, Suzanne ; Kastelein, Pim. In: CPB Discussion Paper. RePEc:cpb:discus:453.

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2023Do Wind Turbines Have Adverse Health Impacts?. (2023). Roth, Alexander ; Krekel, Christian ; Rode, Johannes. In: SOEPpapers on Multidisciplinary Panel Data Research. RePEc:diw:diwsop:diw_sp1197.

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2023Do Wind Turbines Have Adverse Health Impacts?. (2023). Roth, Alexander ; Krekel, Christian ; Rode, Johannes. In: Discussion Papers of DIW Berlin. RePEc:diw:diwwpp:dp2054.

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2023How do economic complexity and productive capacities foster foreign direct investment flows? Evidence from the Asian economies. (2023). Arwatchanakarn, Popkarn ; Uttama, Nathapornpan. In: Economics Bulletin. RePEc:ebl:ecbull:eb-22-00003.

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2023Information Frictions, Investment Promotion, and Multinational Production: Firm-Level Evidence. (2023). Martincus, Christian Volpe ; de Artinano, Ignacio Marra ; Carballo, Jeronimo. In: Working Papers ECARES. RePEc:eca:wpaper:2013/355528.

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2024Can a machine learn from behavioral biases? Evidence from stock return predictability of deep learning models. (2024). Kim, Da-Hea ; Cho, Sangheum ; Byun, Suk-Joon. In: Journal of Behavioral and Experimental Finance. RePEc:eee:beexfi:v:41:y:2024:i:c:s2214635023000953.

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2024When corporate culture matters: The case of stakeholder violations. (2024). Zaman, Rashid. In: The British Accounting Review. RePEc:eee:bracre:v:56:y:2024:i:1:s0890838923000185.

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2023The political impacts of land expropriation in China. (2023). Sha, Wenbiao. In: Journal of Development Economics. RePEc:eee:deveco:v:160:y:2023:i:c:s0304387822001274.

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2024Non-linear dimension reduction in factor-augmented vector autoregressions. (2024). Klieber, Karin. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:159:y:2024:i:c:s0165188923002063.

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2023Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms. (2023). Xu, Hao ; Ni, HE ; Zhang, Qin. In: Economic Modelling. RePEc:eee:ecmode:v:122:y:2023:i:c:s0264999323000160.

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2024Predicting dropout from higher education: Evidence from Italy. (2024). Resce, Giuliano ; Paolini, Dimitri ; Lagravinese, Raffaele ; Delogu, Marco. In: Economic Modelling. RePEc:eee:ecmode:v:130:y:2024:i:c:s0264999323003954.

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2023Who supports liberal policies? A tale of two referendums in Italy. (2023). Principe, Francesco ; Madio, Leonardo. In: Economics Letters. RePEc:eee:ecolet:v:232:y:2023:i:c:s0165176523003634.

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2024The interpretation of 2SLS with a continuous instrument: A weighted LATE representation. (2024). Toneto, Rodrigo. In: Economics Letters. RePEc:eee:ecolet:v:237:y:2024:i:c:s0165176524001411.

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2023What’s trending in difference-in-differences? A synthesis of the recent econometrics literature. (2023). Poe, John ; Bilinski, Alyssa ; Roth, Jonathan. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:2218-2244.

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2024Instrumental variable estimation with first-stage heterogeneity. (2024). Shen, Shu ; Gu, Jiaying ; Abadie, Alberto. In: Journal of Econometrics. RePEc:eee:econom:v:240:y:2024:i:2:s0304407623000702.

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2023How does the vaccine approval procedure affect COVID-19 vaccination intentions?. (2023). Rittmannsberger, Thomas ; Lergetporer, Philipp ; Glatzle-Rutzler, Daniela ; Angerer, Silvia. In: European Economic Review. RePEc:eee:eecrev:v:158:y:2023:i:c:s0014292123001332.

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2023Shared e-scooter services and road safety: Evidence from six European countries. (2023). Kasinger, Johannes ; Hess, Simon ; Cloud, Cannon. In: European Economic Review. RePEc:eee:eecrev:v:160:y:2023:i:c:s0014292123002210.

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2023The mitigating effect of masks on the spread of Covid-19. (2023). Luengo-Prado, Maria ; Tang, Jenny ; Garga, Vaishali ; Cooper, Daniel. In: Economics & Human Biology. RePEc:eee:ehbiol:v:48:y:2023:i:c:s1570677x22000910.

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2024Toward high-resolution projection of electricity prices: A machine learning approach to quantifying the effects of high fuel and CO2 prices. (2024). Ikonnikova, Svetlana ; Madadkhani, Shiva. In: Energy Economics. RePEc:eee:eneeco:v:129:y:2024:i:c:s0140988323007399.

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More than 100 citations found, this list is not complete...

Works by Jann Spiess:

YearTitleTypeCited
2019Augmenting Pre-Analysis Plans with Machine Learning In: AEA Papers and Proceedings.
[Full Text][Citation analysis]		article4
2017Machine Learning: An Applied Econometric Approach In: Journal of Economic Perspectives.
[Full Text][Citation analysis]		article606
2019Machine-Learning Tests for Effects on Multiple Outcomes In: Papers.
[Full Text][Citation analysis]		paper1
2017Unbiased Shrinkage Estimation In: Papers.
[Full Text][Citation analysis]		paper0
2017Bias Reduction in Instrumental Variable Estimation through First-Stage Shrinkage In: Papers.
[Full Text][Citation analysis]		paper1
2023A Design-Based Perspective on Synthetic Control Methods In: Papers.
[Full Text][Citation analysis]		paper6
2023Finding Subgroups with Significant Treatment Effects In: Papers.
[Full Text][Citation analysis]		paper0
2021Improving Inference from Simple Instruments through Compliance Estimation In: Papers.
[Full Text][Citation analysis]		paper6
2024Revisiting Event Study Designs: Robust and Efficient Estimation In: Papers.
[Full Text][Citation analysis]		paper115
2024Unpacking the Black Box: Regulating Algorithmic Decisions In: Papers.
[Full Text][Citation analysis]		paper2
2023On the Fairness of Machine-Assisted Human Decisions In: Papers.
[Full Text][Citation analysis]		paper2
2024Algorithmic Assistance with Recommendation-Dependent Preferences In: Papers.
[Full Text][Citation analysis]		paper0
2024Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability In: Papers.
[Full Text][Citation analysis]		paper0
2023Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control In: Papers.
[Full Text][Citation analysis]		paper4
2023Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control.(2023) In: NBER Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 4		paper
2024Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal In: Papers.
[Full Text][Citation analysis]		paper3
2023Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests In: Papers.
[Full Text][Citation analysis]		paper0
2013Megastudies Improve the Impact of Applied Behavioural Science In: Mathematica Policy Research Reports.
[Full Text][Citation analysis]		paper22
2021Megastudies improve the impact of applied behavioural science.(2021) In: Nature.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 22		article
2022A 680,000-person megastudy of nudges to encourage vaccination in pharmacies In: Proceedings of the National Academy of Sciences.
[Full Text][Citation analysis]		article3
2022Rationalizing Pre-Analysis Plans:Statistical Decisions Subject to Implementability In: Economics Series Working Papers.
[Full Text][Citation analysis]		paper0
2022Robust Post-Matching Inference In: Journal of the American Statistical Association.
[Full Text][Citation analysis]		article10

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