Department of Economics

Publications

• Isachsen, Arne Jon & Gylfason, Thorvaldur (2022)
  Awakening from the Chinese Dream
  Challenge magazine. Doi: 10.1080/05775132.2022.2046881
• Grønneberg, Steffen & Foldnes, Njål (2022)
  Factor analyzing ordinal items requires substantive knowledge of response marginals
  Psychological methods. Doi: 10.1037/met0000495
• Aastveit, Knut Are; Cross, Jamie & van Dijk, Herman K. (2022)
  Quantifying Time-Varying Forecast Uncertainty and Risk for the Real Price of Oil
  Journal of business & economic statistics. Doi: 10.1080/07350015.2022.2039159
• Galle, Simon; Rodriguez-Clare, Andres & Yi, Moises (2022)
  Slicing the Pie: Quantifying the Aggregate and Distributional Effects of Trade
  Review of Economic Studies. Doi: 10.1093/restud/rdac020
  Show summary

  We develop a multi-sector gravity model with heterogeneous workers to quantify the aggregate and group-level welfare effects of trade. The model generalizes the specific-factors intuition to a setting with labor reallocation, leads to a parsimonious formula for the group-level welfare effects from trade, and nests the aggregate results in Arkolakis et al. (2012). We estimate the model using the structural relationship between China-shock driven changes in manufacturing employment and average earnings across US groups defined as commuting zones. We find that the China shock increases average welfare but some groups experience losses as high as four times the average gain. However, adjusting for plausible measures of inequality aversion barely affects the welfare gains. We also develop and estimate an extension of the model that endogenizes labor force participation and unemployment, finding similar welfare effects from the China shock.

• Costa, Francisco; Nunes, Leticia & Sanches, Fabio Miessi (2022)
  How to Attract Physicians to Underserved Areas? Policy Recommendations from a Structural Model
  Review of Economics and Statistics. Doi: 10.1162/rest_a_01155
• Grønneberg, Steffen; Foldnes, Njål & Marcoulides, Katerina (2022)
  covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas
  Journal of Statistical Software, 102(3), p. 1-45. Doi: 10.18637/jss.v102.i03
• Oglend, Atle; Asche, Frank & Straume, Hans-Martin (2022)
  Estimating Pricing Rigidities in Bilateral Transactions Markets
  American Journal of Agricultural Economics, 104(1), p. 209-227. Doi: 10.1111/ajae.12230
• Brekke, Kurt Richard; Dalen, Dag Morten & Straume, Odd Rune (2022)
  Paying for pharmaceuticals: uniform pricing versus two-part tariffs
  Journal of Health Economics, 83. Doi: 10.1016/j.jhealeco.2022.102613
• Boppart, Timo; Harmenberg, Karl, Krusell, Per & Olsson, Jonna (2022)
  Integrated epi-econ assessment of vaccination
  Journal of Economic Dynamics and Control, 140. Doi: 10.1016/j.jedc.2022.104308
• Aastveit, Knut Are & Anundsen, André Kallåk (2022)
  Asymmetric effects of monetary policy in regional housing markets
  American Economic Journal: Macroeconomics. Doi: 10.1257/mac.20190011
  Show summary

  The responsiveness of house prices to monetary policy shocks depends on the nature of the shock—expansionary versus contractionary—and on local housing supply elasticities. These findings are established using a panel of 263 US metropolitan areas. Expansionary monetary policy shocks have a larger impact on house prices in supply inelastic areas. Contractionary shocks are orthogonal to housing supply elasticities. In supply elastic areas, contractionary shocks have a greater impact on house prices than expansionary shocks. The opposite holds true in supply inelastic areas. We attribute this to asymmetric housing supply adjustments.

• Aune, Finn Roar; Gaure, Simen, Golombek, Rolf, Greaker, Mads, Kittelsen, Sverre & Ma, Lin (2022)
  Promoting CCS in Europe: A case for green strategic trade policy?
  Energy Journal, 43(6), p. 47-78. Doi: 10.5547/01956574.43.6.faun
• Asche, Frank; Straume, Hans-Martin, Yang, Bixuan, Gephart, Jessica A., Smith, Martin D., Anderson, James L., Camp, Edward V., Garlock, Taryn M., Love, David C. & Oglend, Atle (2022)
  China’s seafood imports – not for domestic consumption? : an estimated 74.9% of China's seafood imports are reexported
  Science, 375(6579), p. 386-388. Doi: 10.1126/science.abl4756
• Andersen, Jørgen Juel; Johannesen, Niels & Rijkers, Bob (2022)
  Elite Capture of Foreign Aid: Evidence from Offshore Bank Accounts
  Journal of Political Economy, 130(2), p. 388-425. Doi: 10.1086/717455
• Bruno, Lars Christian; Eloranta, Jari, Ojala, Jari & Pehkonen, Jaakko (2022)
  Road to unity? Nordic economic convergence in the long run
  Scandinavian Economic History Review. Doi: 10.1080/03585522.2022.2032318
• Schönhage, Nanna Lauritz & Geys, Benny (2022)
  Politicians and Scandals that Damage the Party Brand
  Legislative Studies Quarterly. Doi: 10.1111/lsq.12377
• Juodis, Artūras & Sarafidis, Vasilis (2022)
  A Linear Estimator for Factor-Augmented Fixed-T Panels With Endogenous Regressors
  Journal of business & economic statistics, 00, p. 1-15. Doi: 10.1080/07350015.2020.1766469
• Byrne, David P.; Imai, Susumu, Jain, Neelam & Sarafidis, Vasilis (2022)
  Instrument-free identification and estimation of differentiated products models using cost data
  Journal of Econometrics, 228(2), p. 278-301. Doi: 10.1016/j.jeconom.2021.12.006
• Korotov, Sergey; Lund, Lars Fredrik Kirkebø & Vatne, Jon Eivind (2022)
  Tight bounds for the dihedral angle sums of a pyramid
  Applications of Mathematics. Doi: 10.21136/AM.2022.0010-22
• Cross, Jamie; Nguyen, Bao H. & Tran, Trung Duc (2022)
  The role of precautionary and speculative demand in the global market for crude oil
  Journal of applied econometrics, 37(5), p. 882-895. Doi: 10.1002/jae.2905
• Schröder, Maximilian & Eraslan, Sercan (2022)
  Nowcasting GDP with a pool of factor models and a fast estimation algorithm
  International Journal of Forecasting. Doi: 10.1016/j.ijforecast.2022.07.009
• Straume, Hans-Martin & Sudhakaran, Pratheesh O. (2022)
  Seafood markets in transition
  Aquaculture Economics & Management, 26(3), p. 253-258. Doi: 10.1080/13657305.2022.2102091
• Andersen, Jørgen Juel & Sørensen, Rune Jørgen (2022)
  The zero-rent society: Evidence from hydropower and petroleum windfalls in Norwegian local governments
  Journal of Public Economics, 209. Doi: 10.1016/j.jpubeco.2022.104650
• Straume, Hans-Martin; Asche, Frank, Oglend, Atle, Abrahamsen, Eirik Bjorheim, Birkenbach, Anna M., Langguth, Johannes, Lanquepin, Guillaume & Roll, Kristin Helen (2022)
  Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis
  Aquaculture, 561. Doi: 10.1016/j.aquaculture.2022.738678
• Heggedal, Tom-Reiel; Helland, Leif & Morton, Rebecca (2022)
  Can Paying Politicians Well Reduce Corruption? The Effects of Wages and Uncertainty on Electoral Competition
  Games and Economic Behavior, 135, p. 60-73. Doi: 10.1016/j.geb.2022.05.008
• Harang, Fabian Andsem; Tindel, Samy & Wang, Xiaohua (2022)
  Volterra equations driven by rough signals 2: higher order expansions
  Stochastics and Dynamics. Doi: 10.1142/S0219493723500028
• Galeati, Lucio; Harang, Fabian Andsem & Mayorcas, Avi (2022)
  Distribution dependent SDEs driven by additive fractional Brownian motion
  Probability theory and related fields, p. 1-59. Doi: 10.1007/s00440-022-01145-w
• Geys, Benny; Heggedal, Tom-Reiel & Sørensen, Rune Jørgen (2022)
  Age and vote choice: Is there a conservative shift among older voters?
  Electoral Studies: an international journal on voting and electoral systems and strategy, 78. Doi: 10.1016/j.electstud.2022.102485
• Rebnor, Robert; Straume, Hans-Martin & Vårdal, Erling (2022)
  Valutabruk i norsk utenrikshandel
  Samfunnsøkonomen, p. 54-65.
• Norkutė, Milda; Sarafidis, Vasilis, Yamagata, Takashi & Cui, Guowei (2021)
  Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure
  Journal of Econometrics, 220(2), p. 416-446. Doi: 10.1016/j.jeconom.2020.04.008
• Cross, Jamie; Hou, Chenghan & Nguyen, Bao (2021)
  On the China factor in the world oil market: A regime switching approach
  Energy Economics, 95, p. 105-119. Doi: 10.1016/j.eneco.2021.105119
• Bjørnland, Hilde C; Nordvik, Frode Martin & Rohrer, Maximilian (2021)
  Supply flexibility in the shale patch: Evidence from North Dakota
  Journal of applied econometrics, 36(3), p. 273-292. Doi: 10.1002/jae.2808
• Seljom, Liselotte; Bygballe, Lena Elisabeth, Riis, Christian, Petkovic, Gordana & Berg, Hallvard (2021)
  Klimatilpasning av vårt bygde miljø og utfordringer ved dagens kost-nytteanalyser
  Praktisk økonomi & finans, 37(01), p. 63-82. Doi: 10.18261/issn.1504-2871-2021-01-07
• Chen, Mei; Ni, Peijie, Reve, Torger, Huang, Jing & Lu, Ren (2021)
  Sales growth or employment growth? Exporting conundrum for new ventures
  Review of International Business and Strategy. Doi: 10.1108/RIBS-04-2020-0048
• Foldnes, Njål & Grønneberg, Steffen (2021)
  The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms
  Psychological methods. Doi: 10.1037/met0000385
• Bjorvatn, Kjetil; Galle, Simon, Berge, Lars Ivar Oppedal, Miguel, Edward, Posner, Daniel, Tungodden, Bertil & Zhang, Kelly (2021)
  Elections and selfishness
  Electoral Studies: an international journal on voting and electoral systems and strategy, 69, p. 1-6. Doi: 10.1016/j.electstud.2020.102267
• Fiva, Jon H.; Geys, Benny, Heggedal, Tom-Reiel & Sørensen, Rune Jørgen (2021)
  Political Alignment and Bureaucratic Pay
  Journal of public administration research and theory, 31(3), p. 596-615. Doi: 10.1093/jopart/muaa053
• Bizzotto, Jacopo & Vigier, Adrien Henri (2021)
  Fees, Reputation and Information Production in the Credit Rating Industry
  American Economic Journal: Microeconomics, 13(2), p. 1-34. Doi: 10.1257/mic.20180170
• Bizzotto, Jacopo; Rudiger, Jesper & Vigier, Adrien Henri (2021)
  Dynamic Persuasion with Outside Information
  American Economic Journal: Microeconomics, 13(1), p. 179-194. Doi: 10.1257/mic.20180141
• Canova, Fabio & Matthes, Christian (2021)
  Dealing with misspecification in structural macroeconometric models
  Quantitative Economics, 12(2), p. 313-350. Doi: 10.3982/QE1413
• Bos, Olivier; Martinez, Francisco Gomez, Onderstal, Sander & Truyts, Tom (2021)
  Signalling in auctions: Experimental evidence
  Journal of Economic Behavior and Organization, 187, p. 448-469. Doi: 10.1016/j.jebo.2021.04.001
• Lu, Jingfeng; Lu, Zongwei & Riis, Christian (2021)
  Perfect bidder collusion through bribe and request
  Games and Economic Behavior, 129, p. 1-14. Doi: 10.1016/j.geb.2021.05.001
• Asche, Frank; Straume, Hans-Martin & Vårdal, Erling (2021)
  Perish or prosper: Trade patterns for highly perishable seafood products
  Agribusiness. Doi: 10.1002/agr.21704
• Juodis, Artūras & Sarafidis, Vasilis (2021)
  An incidental parameters free inference approach for panels with common shocks
  Journal of Econometrics. Doi: 10.1016/j.jeconom.2021.03.011
• Ile, Runar (2021)
  Deformation theory of Cohen-Macaulay approximation
  Journal of Algebra, 568, p. 437-466. Doi: 10.1016/j.jalgebra.2020.09.039
• Alstadheim, Ragna; Bjørnland, Hilde C & Maih, Junior (2021)
  Do central banks respond to exchange rate movements? A Markov-switching structural investigation of commodity exporters and importers
  Energy Economics, 96. Doi: 10.1016/j.eneco.2021.105138
• Hansen, Bjørn Gunnar & Olsson, Ulf H. (2021)
  Specification Search in Structural Equation Modeling (SEM): How Gradient Component-wise Boosting can Contribute
  Structural Equation Modeling. Doi: 10.1080/10705511.2021.1935263
• Gola, Pawel (2021)
  Supply and Demand in a Two-Sector Matching Model
  Journal of Political Economy, 129(3). Doi: 10.1086/712507
• Juodis, Artūras; Karavias, Yiannis & Sarafidis, Vasilis (2021)
  A homogeneous approach to testing for Granger non-causality in heterogeneous panels
  Empirical Economics, 60, p. 93-112. Doi: 10.1007/s00181-020-01970-9
• Achbari, Wahideh; Geys, Benny & Doosje, Bert Jan (2021)
  Comparing the effect of cross-group friendship on generalized trust to its effect on prejudice: The mediating role of threat perceptions and negative affect
  PLOS ONE. Doi: 10.1371/journal.pone.0245983
• Fiva, Jon H.; Halse, Askill Harkjerr & Smith, Daniel Markham (2021)
  Local Representation and Voter Mobilization in Closed-list Proportional Representation Systems
  Quarterly Journal of Political Science, 16(2), p. 185-213. Doi: 10.1561/100.00019147
  Show summary

  We investigate whether geographic representation affects local voting behavior in closed-list proportional representation (PR) systems, where conventional theoretical wisdom suggests a limited role of localism in voter preferences. Using detailed data on Norwegian parliamentary candidates' hometowns, we show that parties engage in geographic balancing when constructing candidate lists. However, because most districts contain more municipalities than seats, not all municipalities will ultimately see a local candidate elected. A regression discontinuity design applied to marginal candidates reveals that parties obtain higher within-district support in subsequent elections in incumbents' hometowns — novel evidence of "friends-and-neighbors" voting in an otherwise party-centered environment. Exploring the mechanisms, we find that represented municipalities often continue to have locally-connected candidates in top positions, in contrast to municipalities with losing candidates, and are more frequently referenced in legislative speeches. There is no evidence that unequal representation creates inequalities in distributive policies.

• Lyshol, Arne Fredrik; Nenov, Plamen & Wevelstad, Thea (2021)
  Duration Dependence and Labor Market Experience
  Labour. Doi: 10.1111/labr.12188
• Røed Larsen, Erling (2021)
  Intra-Week Price Patterns in the Housing Market*
  The Scandinavian Journal of Economics, 123(1), p. 327-352. Doi: 10.1111/sjoe.12403
• Mauritzen, Johannes & Sucarrat, Genaro (2021)
  Increasing Or Diversifying Risk?Tail Correlations, Transmission Flows And Prices Across Wind Power Areas
  Energy Journal, 43(3). Doi: 10.5547/01956574.43.3.jmau
• Landazuri Concha, Ursula Alejandra; Asche, Frank & Straume, Hans-Martin (2021)
  Dynamics of Buyer-Seller Relations in Norwegian Wine Imports
  Journal of Wine Economics, 16(1), p. 68-85. Doi: 10.1017/jwe.2020.37
• Geys, Benny; Murdoch, Zuzana & Sørensen, Rune Jørgen (2021)
  Political (Over)Representation of Public Sector Employees and the Double-Motive Hypothesis: Evidence from Norwegian Register Data (2007-2019)
  Journal of public administration research and theory, 32(2), p. 326-341. Doi: 10.1093/jopart/muab034
• Schönhage, Nanna Lauritz & Geys, Benny (2021)
  Partisan bias in politicians’ perception of scandals
  Party Politics. Doi: 10.1177/1354068821998024
• Dalen, Dag Morten; Locatelli, Marilena & Strøm, Steinar Øivind (2021)
  Biosimilar bidding in centralized tenders in Norway
  Nordic Journal of Health Economics, 9(1), p. 11-23. Doi: 10.5617/njhe.7394
• Fagereng, Andreas; Holm, Martin Blomhoff & Natvik, Gisle James (2021)
  MPC Heterogeneity and Household Balance Sheets
  American Economic Journal: Macroeconomics, 13(4), p. 1-54. Doi: 10.1257/mac.20190211
• Guo, Na; Zhang, Bo & Cross, Jamie (2021)
  Time-varying trend models for forecasting inflation in Australia
  Journal of Forecasting, 24(2), p. 316-330. Doi: 10.1002/for.2814
• Sucarrat, Genaro (2021)
  Identification of volatility proxies as expectations of squared financial returns
  International Journal of Forecasting. Doi: 10.1016/j.ijforecast.2021.03.008
• Titl, Vitezslav; De Witte, Kristof & Geys, Benny (2021)
  Political Donations, Public Procurement and Government Efficiency
  World Development, 148(105666). Doi: 10.1016/j.worlddev.2021.105666
• Foldnes, Njål & Grønneberg, Steffen (2021)
  Non-normal Data Simulation using Piecewise Linear Transforms
  Structural Equation Modeling, p. 1-12. Doi: 10.1080/10705511.2021.1949323
• Helland, Leif; Iachan, Felipe S., Juelsrud, Ragnar Enger & Nenov, Plamen (2021)
  Information Quality and Regime Change: Evidence from the Lab
  Journal of Economic Behavior and Organization, 191, p. 538-554. Doi: 10.1016/j.jebo.2021.08.036
• Francq, Christian & Sucarrat, Genaro (2021)
  Volatility Estimation When the Zero-Process is Nonstationary
  Journal of business & economic statistics. Doi: 10.1080/07350015.2021.1999821
• Athanasopoulos, George; Sarafidis, Vasilis, Weatherburn, Don & Miller, Rohan (2021)
  Longer-term impacts of trading restrictions on alcohol-related violence: insights from New South Wales, Australia
  Addiction. Doi: 10.1111/add.15774
  Show summary

  Background and Aims:In February 2014, the government of New South Wales (NSW),Australia, introduced new restrictions (known as the‘lockout laws’) on the sale of alco-hol in licensed premises in two of Sydney’s most prominent entertainment districts,Kings Cross (KX) and the central business district (CBD). This study aimed to determine:(i) whether the introduction of the lockout laws was the point at which the time patternof the assault series in the KX and CBD entertainment precincts changed; (ii) whetherthe apparent reduction in assault in these precincts persists when we control for com-mon variations in assault across the entire state of NSW; (iii) whether the reduction inassault in the KX and CBD entertainment precincts resulted in a displacement of theassault problem into other areas; and (iv) whether there is a net reduction in assault aftertaking any spill-over or displacement effects into account.Design:Structural break analysis was used to determine the date at which the time pat-tern of assaults changed. Interrupted time series analysis with a rest-of-NSW comparatorwas used to assess the change in assault.Setting, cases and measurements:The monthly totals of incidents of non-domesticassaults reported to the NSW Police between January 2009 and March 2019 (n= 123).Findings:The structural break in assaults occurred in January 2014 rather than inFebruary 2014, when the lockout laws were introduced. The reduction in assault persistseven when we control for common influences across NSW as a whole. In particular, fromJanuary 2014 onwards, assaults fell immediately by 22% (a downward step) in KX (90%confidence interval [CI] = 15–28) and by 33% in the CBD (90% CI = 19–47). Assaultscontinued declining in KX (trend-break coefficient =−0.094, 90% CI =−0.192 to 0.005).The reduction in assault in the KX and CBD precincts is associated with a rise in assaultin areas surrounding these precincts. The net effect, nonetheless, remains a lower levelof assault. In particular, we estimate that the net reduction over the three areas com-bined was 1670 assaults (i.e. 27 per month).Conclusion:Some of the initial reduction in assault in KX and the CBD of Sydney, Australia,previously attributed to the February 2014 introduction of lockout laws may have been aresponse to publicity surrounding recent deaths connected with alcohol-related violence.

• Andersen, Jørgen Juel; Nordvik, Frode Martin & Tesei, Andrea (2021)
  Oil Price Shocks and Conflict Escalation: Onshore versus Offshore
  Journal of Conflict Resolution, p. 1-30. Doi: 10.1177/00220027211042664
• Sarafidis, Vasilis & Wansbeek, Tom (2021)
  Celebrating 40 years of panel data analysis: Past, present and future
  Journal of Econometrics, 220(2), p. 215-226. Doi: 10.1016/j.jeconom.2020.06.001
  Show summary

  The present special issue features a collection of papers presented at the 2017 International Panel Data Conference, hosted by the University of Macedonia in Thessaloniki, Greece. The conference marked the 40th anniversary of the inaugural International Panel Data Conference, which was held in 1977 at INSEE in Paris, under the auspices of the French National Centre for Scientific Research. As a collection, the papers appearing in this special issue of the Journal of Econometrics continue to advance the analysis of panel data, and paint a state-of-the-art picture of the field.

• Bruno, Lars Christian (2021)
  Natural resources and economic growth: comparing nineteenth century Scandinavia and twentieth century Southeast Asia
  Scandinavian Economic History Review. Doi: 10.1080/03585522.2021.1984298
  Show summary

  This paper aims to bridge part of the gap that exists between the resource curse literature and economic historical research on natural resources by analysing four resource-abundant countries. The study proposes that at the sectoral level, the determinants of growth in resource-based industries were mostly similar in the late 19th and late 20th centuries. However, we also argue that the relative contribution of natural resources to economic growth might have been declining during the late twentieth century. The evidence comes from an analysis of the forestry sector in Finland and Sweden between 1860 and 1910 and the palm oil industry in Indonesia and Malaysia between 1970 and 2016.

• Kripfganz, Sebastian & Sarafidis, Vasilis (2021)
  Instrumental-variable estimation of large-T panel-data models with common factors
  The Stata Journal, 21(3), p. 1-28. Doi: 10.1177/1536867X211045558
  Show summary

  In this article, we introduce the xtivdfreg command, which implements a general instrumental-variables (IV) approach for fitting panel-data models with many time-series observations, T, and unobserved common factors or interactive effects, as developed by Norkute et al. (2021, Journal of Econometrics 220: 416–446) and Cui et al. (2020a, ISER Discussion Paper 1101). The underlying idea of this approach is to project out the common factors from exogenous covariates using principal-components analysis and to run IV regression in both of two stages, using defactored covariates as instruments. The resulting two-stage IV estimator is valid for models with homogeneous or heterogeneous slope coefficients and has several advantages relative to existing popular approaches. In addition, the xtivdfreg command extends the two-stage IV approach in two major ways. First, the algorithm accommodates estimation of unbalanced panels. Second, the algorithm permits a flexible specification of instruments. We show that when one imposes zero factors, the xtivdfreg command can replicate the results of the popular Stata ivregress command. Notably, unlike ivregress, xtivdfreg permits estimation of the two-way error-components paneldata model with heterogeneous slope coefficients.

• Bruno, Lars Christian & Steen, Riana (2021)
  Norwegian oil market concentration and its effects on the oil service companies 1993–2013
  Scottish Journal of Political Economy. Doi: 10.1111/sjpe.12304
• Aastveit, Knut Are; Furlanetto, Francesco & Loria, Francesca (2021)
  Has the Fed Responded to House and Stock Prices? A Time-Varying Analysis
  Review of Economics and Statistics. Doi: 10.1162/rest_a_01120
• Chodorow-Reich, Gabriel; Nenov, Plamen & Simsek, Alp (2021)
  Stock Market Wealth and the Real Economy: A Local Labor Market Approach
  The American Economic Review, 111(5), p. 1613-1657. Doi: 10.1257/AER.20200208
• Cross, Jamie; Hou, Chenghan & Trinh, Kelly (2021)
  Returns, Volatility and the Cryptocurrency Bubble of 2017-18
  Economic Modelling. Doi: 10.1016/j.econmod.2021.105643
• Aastveit, Knut Are; Bjørnland, Hilde C & Cross, Jamie (2021)
  Inflation expectations and the pass-through of oil prices
  Review of Economics and Statistics. Doi: 10.1162/rest_a_01073
• Cox, Gary W.; Fiva, Jon H., Smith, Daniel M. & Sørensen, Rune Jørgen (2021)
  Moral hazard in electoral teams: List rank and campaign effort
  Journal of Public Economics, 200. Doi: 10.1016/j.jpubeco.2021.104457
• Sucarrat, Genaro (2021)
  garchx: Flexible and Robust GARCH-X Modeling
  The R Journal, 13(1), p. 276-291. Doi: 10.32614/rj-2021-057
• Boeri, Tito; Garibaldi, Pietro & Moen, Espen Rasmus (2021)
  In medio stat victus Labor Demand Effects of an Increase in the Retirement Age
  Journal of Population Economics, 35, p. 519-556. Doi: 10.1007/s00148-021-00871-0
• Canova, Fabio & Matthes, Christian (2021)
  A Composite Likelihood Approach for Dynamic Structural Models
  Economic Journal, 131, p. 2447-2474. Doi: 10.1093/ej/ueab004