All Outputs (570)

The differential impact of friendship on cooperative and competitive coordination (2020)
Journal Article
Chierchia, G., Tufano, F., & Coricelli, G. (2020). The differential impact of friendship on cooperative and competitive coordination. Theory and Decision, 89(4), 423-452. https://doi.org/10.1007/s11238-020-09763-3

Friendship is commonly assumed to reduce strategic uncertainty and enhance tacit coordination. However, this assumption has never been tested across two opposite poles of coordination involving either strategic complementarity or substitutability. We... Read More about The differential impact of friendship on cooperative and competitive coordination.

Demand-driven Technical Change and Productivity Growth: Theory and Evidence from the Energy Policy Act (2020)
Journal Article
Impullitti, G., Kneller, R., & McGowan, D. (2020). Demand-driven Technical Change and Productivity Growth: Theory and Evidence from the Energy Policy Act. Journal of Industrial Economics, 68(2), 328-363. https://doi.org/10.1111/joie.12231

We present novel evidence on the effect of market size on technology adoption and productivity. Our tests exploit a natural experiment in the US corn industry where changes to national energy policy created exogenous increases in demand. Difference-i... Read More about Demand-driven Technical Change and Productivity Growth: Theory and Evidence from the Energy Policy Act.

LIONESS Lab: a free web-based platform for conducting interactive experiments online (2020)
Journal Article
Giamattei, M., Yahosseini, K. S., Gächter, S., & Molleman, L. (2020). LIONESS Lab: a free web-based platform for conducting interactive experiments online. Journal- Economic Science Association, 6, 95–111. https://doi.org/10.1007/s40881-020-00087-0

LIONESS Lab is a free web-based platform for interactive online experiments. An intuitive, user-friendly graphical interface enables researchers to develop, test, and share experiments online, with minimal need for programming experience. LIONESS Lab... Read More about LIONESS Lab: a free web-based platform for conducting interactive experiments online.

Property rights and risk aversion: Evidence from a titling program (2020)
Journal Article
Aragón, F. M., Molina, O., & Outes-León, I. W. (2020). Property rights and risk aversion: Evidence from a titling program. World Development, 134, Article 105020. https://doi.org/10.1016/j.worlddev.2020.105020

Evidence suggests that major events, like war or natural disasters, affect risk attitudes. This paper shows that similar effects can also be associated with institutional changes, such as improved property rights. Using the case of a large titling pr... Read More about Property rights and risk aversion: Evidence from a titling program.

Date-stamping multiple bubble regimes (2020)
Journal Article
Harvey, D. I., Leybourne, S. J., & Whitehouse, E. J. (2020). Date-stamping multiple bubble regimes. Journal of Empirical Finance, 58, 226-246. https://doi.org/10.1016/j.jempfin.2020.06.004

Identifying the start and end dates of explosive bubble regimes has become a prominent issue in the econometric literature. Recent research has demonstrated the advantage of a model-based minimum sum of squared residuals estimator, combined with Baye... Read More about Date-stamping multiple bubble regimes.

Risk taking and sharing when risk exposure is interdependent (2020)
Journal Article
Barr, A., Owens, T., & Perera, A. (2020). Risk taking and sharing when risk exposure is interdependent. Journal of Economic Behavior and Organization, 176, 445-460. https://doi.org/10.1016/j.jebo.2020.04.011

© 2020 Elsevier B.V. Using a specially designed experiment, we investigate whether and how interdependence in risk exposure, i.e., risk taking by some members of a potential risk sharing group affecting not only their own but also their co-members' r... Read More about Risk taking and sharing when risk exposure is interdependent.

Testing for strict stationarity in a random coefficient autoregressive model (2020)
Journal Article
Trapani, L. (2021). Testing for strict stationarity in a random coefficient autoregressive model. Econometric Reviews, 40(3), 220-256. https://doi.org/10.1080/07474938.2020.1773667

We propose a procedure to decide between the null hypothesis of (strict) stationarity and the alternative of non-stationarity, in the context of a Random Coefficient AutoRegression (RCAR). The procedure is based on randomising a diagnostic which dive... Read More about Testing for strict stationarity in a random coefficient autoregressive model.

Making Fiscal Adjustments Using Event Probability Forecasts in OECD Countries (2020)
Journal Article
Lee, K., Ong, K., & Shields, K. K. (2020). Making Fiscal Adjustments Using Event Probability Forecasts in OECD Countries. Economic Record, 96(314), 294-313. https://doi.org/10.1111/1475-4932.12540

This paper describes an approach to making fiscal policy decisions based on probabilistic statements on the likely occurrence of events as specified in a rules‐based framework for making fiscal adjustments. The event probability forecasts are obtaine... Read More about Making Fiscal Adjustments Using Event Probability Forecasts in OECD Countries.

How Do Consumers Avoid Penalty Fees? Evidence from Credit Cards (2020)
Journal Article
Gathergood, J., Sakaguchi, H., Stewart, N., & Weber, J. (2021). How Do Consumers Avoid Penalty Fees? Evidence from Credit Cards. Management Science, 67(4), 2562-2578. https://doi.org/10.1287/mnsc.2019.3568

Using data from multiple card issuers, we show that the most common penalty fee type incurred by credit card holders-late payment fees-declines sharply over the first few months of card life. This phenomenon is wholly due to some consumers adopting a... Read More about How Do Consumers Avoid Penalty Fees? Evidence from Credit Cards.

The effect of education, income inequality and merit on inequality acceptance (2020)
Journal Article
Barr, A., & Miller, L. (2020). The effect of education, income inequality and merit on inequality acceptance. Journal of Economic Psychology, 80, https://doi.org/10.1016/j.joep.2020.102276

A large number of observational and experimental studies have explored the determinants of individual preferences for redistribution. In general, inequalities are more likely to be accepted by people of higher socioeconomic status, in richer societie... Read More about The effect of education, income inequality and merit on inequality acceptance.

How vocational education made women better off but left men behind (2020)
Journal Article
Acevedo, P., Cruces, G., Gertler, P., & Martinez, S. (2020). How vocational education made women better off but left men behind. Labour Economics, 65, Article 101824. https://doi.org/10.1016/j.labeco.2020.101824

This paper examines the interaction between vocational and soft skills training on labor market outcomes and expectations of youth in the Dominican Republic. Applicants to a training program were randomly assigned to one of three modalities: a full t... Read More about How vocational education made women better off but left men behind.

Trade and management (2020)
Journal Article
Bloom, N., Manova, K., Van Reenen, J., Sun, S. T., & Yu, Z. (2021). Trade and management. Review of Economics and Statistics, 103(3), 443-460. https://doi.org/10.1162/rest_a_00925

We study how management practices shape export performance using matched production-trade-management data for Chinese and American firms and a randomized control trial in India. Better managed firms are more likely to export, sell more products to mo... Read More about Trade and management.

Inferential theory for heterogeneity and cointegration in large panels (2020)
Journal Article
Trapani, L. (2020). Inferential theory for heterogeneity and cointegration in large panels. Journal of Econometrics, 220(2), 474-503. https://doi.org/10.1016/j.jeconom.2020.04.010

© 2020 Elsevier B.V. This paper provides an estimation and testing framework to assess the presence and the extent of slope heterogeneity and cointegration when the units are a mixture of spurious and/or cointegrating regressions. We propose two mome... Read More about Inferential theory for heterogeneity and cointegration in large panels.

Who Acquires Information in Dealer Markets? (2020)
Journal Article
Rüdiger, J., & Vigier, A. (2020). Who Acquires Information in Dealer Markets?. American Economic Review, 110(4), 1145-1176. https://doi.org/10.1257/aer.20170690

We study information acquisition in dealer markets. We first identify a one-sided strategic complementarity in information acquisition: the more informed traders are, the larger market makers' gain from becoming informed. When quotes are observable,... Read More about Who Acquires Information in Dealer Markets?.

Estimating and testing the multicountry endogenous growth model (2020)
Journal Article
De Visscher, S., Eberhardt, M., & Everaert, G. (2020). Estimating and testing the multicountry endogenous growth model. Journal of International Economics, 125, https://doi.org/10.1016/j.jinteco.2020.103325

© 2020 Elsevier B.V. We estimate Cobb-Douglas production functions that parameterize unobserved total factor productivity as a global technology process interacted with country-specific absorptive capacities. In contrast to the existing literature we... Read More about Estimating and testing the multicountry endogenous growth model.

Sequential testing for structural stability in approximate factor models (2020)
Journal Article
Barigozzi, M., & Trapani, L. (2020). Sequential testing for structural stability in approximate factor models. Stochastic Processes and their Applications, 130(8), 5149-5187. https://doi.org/10.1016/j.spa.2020.03.003

We develop a monitoring procedure to detect changes in a large approximate factor model. Letting r be the number of common factors, we base our statistics on the fact that the(r + 1)-th eigenvalue of the sample covariance matrix is bounded under the... Read More about Sequential testing for structural stability in approximate factor models.

Altruism, fast and slow? Evidence from a meta-analysis and a new experiment (2020)
Journal Article
Fromell, H., Nosenzo, D., & Owens, T. (2020). Altruism, fast and slow? Evidence from a meta-analysis and a new experiment. Experimental Economics, 23, 979–1001. https://doi.org/10.1007/s10683-020-09645-z

Can we use the lens of dual-system theories to explain altruistic behavior? In recent years this question has attracted the interest of both economists and psychologists. We contribute to this emerging literature by reporting the results of a meta-st... Read More about Altruism, fast and slow? Evidence from a meta-analysis and a new experiment.

Bank capital, financial stability and Basel regulation in a low interest-rate environment (2020)
Journal Article
Rubio, M., & Yao, F. (2020). Bank capital, financial stability and Basel regulation in a low interest-rate environment. International Review of Economics and Finance, 67, 378-392. https://doi.org/10.1016/j.iref.2020.02.008

The current low interest-rate environment poses new challenges to international bank regulation policies. This paper analyzes the role of the Basel regulation in this new context. We study this issue by using a DSGE model with housing and collateral... Read More about Bank capital, financial stability and Basel regulation in a low interest-rate environment.

Do university technology transfers increase firms’ innovation? (2020)
Journal Article
García-Vega, M., & Vicente-Chirivella, Ó. (2020). Do university technology transfers increase firms’ innovation?. European Economic Review, 123, 103388. https://doi.org/10.1016/j.euroecorev.2020.103388

We investigate how technology transfers from universities to private firms influence firm innovativeness. Using data on R&D acquisitions from universities of more than 10,000 Spanish firms for the period 2005-2013 and applying propensity score matchi... Read More about Do university technology transfers increase firms’ innovation?.

Exchange Rate Flexibility: How Should We Measure It? (2020)
Journal Article
Bleaney, M., & Tian, M. (2020). Exchange Rate Flexibility: How Should We Measure It?. Open Economies Review, 31(4), 881–900. https://doi.org/10.1007/s11079-019-09577-z

This paper first examines some recent exchange rate classification schemes. There is little evidence of a trend towards greater agreement between schemes. There is a probability of between 16 and 28 percent that a peg in one classification scheme is... Read More about Exchange Rate Flexibility: How Should We Measure It?.