Publications

- Adda, J., Dustmann, C. and Stevens, C. (2016). The Career Costs of Children. Journal of Political Economy, forthcoming.

 

- Amore, M. and Garofalo, O. (2016). Executive gender, competitive pressures, and corporate performance. Journal of Economic Behavior and Organization 131, 308-327.

 

- Andersson, U., Dasi, A., Mudambi, R. and Pedersen, T. (2016). Technology, Innovation and Knowledge: The Importance of Ideas and International Connectivity. Journal of World Business 51, 153-162.

 

- Antoniano-Villalobos, I. and Walker, S.G. (2016). A Nonparametric Model for Stationary Time Series. Journal of Time Series Analysis 37, 126–142.

 

- Anzarut, M., Mena, R.H., Nava, C. and Prünster, I. (2016). Poisson driven stationary Markov models. Journal of Business and Economic Statistics, in press.

 

- Arbel, J. and Prünster, I. (2016). A moment-matching Ferguson & Klass algortihm. Statistics and Computing, in press.

 

- Asmussen, C.G., Larsen, M.M. and Pedersen, T. (2016). Organizational Adaptation in Offshoring: The Relative Performance of Home- and Host-based Learning Strategies. Organization Science, 27, 911-928.

 

- Berchicci, L., Dutt, N. and Mitchell, W. (2016). Knowledge Sources and Waste Reduction: Less is More. Working paper.

 

- Beranger, B., Padoan, S.A. and Sisson, S.A. (2016). Models for extremal dependence derived from skew-symmetric families. Scandinavian Journal of Statistics, in press.

 

- Birhanu, A., Gambardella, A. and Valentini, G. (2016). Bribery and Investment: Firm-level Evidence from Africa and Latin America. Strategic Management Journal 37, 1865–1877.

 

- Bisetti, E., Favero, C. Nocera, G. and Tebaldi, C. (2016). A Multivariate Model of Strategic Asset Allocation with Longevity Risk,
forthcoming. 

 

- Borgonovo, E., Aliee, H., Glaß, M. and Teich, J., (2016): A new time-independent reliability importance measure. European Journal of Operational Research 254, 427-442.

 

- Borgonovo E. and Cillo A. (2016). Importance, Thresholds and Value of Information. Risk Analysis, forthcoming.

 

- Borgonovo E., and Iooss B. (2016). Moment Independent Importance Measures. Springer Handbook on Uncertainty Quantification.

 

- Borgonovo, E., Plischke, E. (2016). Sensitivity analysis: A review of recent advances. European Journal of Operational Research 248, 869-887.

 

- Buonaguidi, B. and Muliere, P. (2016). Bayesian sequential testing for Lévy processes with diffusion and jump components. Stochastics 88, 1099–1113.

 

- Buonaguidi, B. and Muliere, P. (2016). Optimal sequential testing for an inverse Gaussian process. Sequential Anal. 35, 69–83.

 

- Canale, A. and Prünster, I. (2016). Robustifying Bayesian nonparametric mixtures for count data. Biometrics, in press.

 

- Carriero, A., Clark, T. and Marcellino, M. (2016). Common Drifting Volatility in Large Bayesian VARs. Journal of Business and Economic Statistics 34, 375-390.

 

- Carriero, A., Kapetanios, G. and Marcellino, M. (2016). Structural analysis with Multivariate Autoregressive Index models. Journal of Econometrics 192, 332-348.


- Cillo, P. and Rubera, G. (2016). Blessed from birth? Using Twitter data to predict startup success. Working Paper.

 

- Cucurachi, S., Borgonovo, E. and Heijungs, R. (2016). A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment. Risk Analysis 36, 357-377.

 

- Del Fava, E., Piccarreta, R., Gregson, S. and Melegaro, A. (2016). Transition to Parenthood and HIV Infection in Rural Zimbabwe. PLoS One 11, e0163730.

 

- Di Maio, F., Nicola, G., Borgonovo, E. and Zio, E. (2016). Invariant methods for an ensemble-based sensitivity analysis of a passive containment cooling system of an AP1000 nuclear power plant. Reliability Engineering and System Safety 151, 12-19.

 

- Di Tillio, A., Ottaviani, M., and Sorensen, P.N.  (2016). Strategic Sample Selection. Working paper.

 

- Dustmann, C. and Görlach, J.-S. (2016). Estimating Immigrant Earnings Profiles when Migrations Are Temporary. Labour Economics 41, 1-8.

 

- Favaro, S., Lijoi, A., Nava, C., Nipoti, B, Prünster, I. and Teh, Y.W. (2016). On the stick-breaking representation for homogeneous NRMIs. Bayesian Analysis, 11, 697-724.

 

- Favero, C., ARIE Gozluklud, A. and Yang, H. (2016). Demographics and the Behaviour of Interest Rates. IMF Economic Review, forthcoming.


- Foroni, C. and Marcellino, M. (2016). Mixed frequency structural VARs. Journal of the Royal Statistical Society, Series A 179, 403-425. 

 

-Fortini, S., Petrone, S. (2016). Predictive Characterization of Mixtures of Markov Chains. Bernoulli, forthcoming.

 

- Fosfuri A., Giarratana M.S. and Roca E. (2016). Social Business Hybrids: Demand Externalities, Competitive Advantage and Growth through Diversification. Organization Science 25, 1275-1289.

 

- Gambardella, A., Raasch, C. and Von Hippel, E. (2016). The User Innovation Paradigm: Impacts on Markets and Welfare.Management Science, forthcoming.

 

- Henry, E. and Ottaviani, M. (2016). Wald Deconstructed: The Organization of Persuasion. Working paper.


- Kapetanios, G., Marcellino, M. and Papailias, F. (2016). Variable Selection for Large Unbalanced Datasets Using Non-Standard Optimisation of Information Criteria and Variable Reduction Methods. Computational Statistics and Data Analysis 100, 369-382.

 

- Kremena, S., Fosfuri, A. and De Castro, J. (2016). Learning by Hiring: The Effect of Scientists’ Inbound Mobility on Research Performance in Academia. Organization Science 27, 72-89.

 

- Lijoi, A., Muliere, P., Prüster, I. and Taddei, F. (2016). Innovation, growth and aggregate volatility from a Bayesian nonparametric perspective. Electronic Journal of Statistics, 10, 2179-2203.

 

- Manconi, A., Rizzo, A.E., and Spalt, O.G. (2016). Diversity investing. Working paper.

 

- Marcellino, M., Porqueddu, M. and Venditti, F. (2016). Short-term GDP forecasting with a mixed frequency dynamic factor model with stochastic volatility. Journal of Business and Economic Statistics 34, 118-127.


- Marcellino, M. and Sivec, V. (2016). Monetary, Fiscal and Oil Shocks: Evidence based on Mixed Frequency Structural FAVARs. Journal of Econometrics 193, 335–348.

 

- Marcon, G., Padoan, S.A., and Antoniano-Villalobos, I. (2016). Bayesian Inference for the Extremal Dependence. Electronic Journal of Statistics. To appear.

 

- Marcon, G., Padoan, S. A., Naveau P., Muliere P. and J. Segers (2016). Multivariate Nonparametric Estimation of the Pickands Dependence Function using Bernstein Polynomials. Journal of Statistical Planning and Inference, in press.

 

- Molteni, L. and Ponce de Leon, J. (2016). Forecasting With Twitter Data: An Application To USA TV Series Audience. Special Issue on Big Data, International Journal of Design & Nature and Ecodynamics 11, 220-229.  

 

- Rubera, G., Cillo, P., and Balocco, F. (2016). How should CEOs talk? Targeting and segmenting financial analysts with topic modeling. Working Paper.

 

- Torrisi, S., Gambardella, A., Giuri, P., Harhoff, D., Hoisl, K. and Mariani, M. (2016). Using, blocking, and sleeping patents: empirical evidence from a large inventor survey. Research Policy 45, 1374–1385.

 

- Xiao, X., van Hoek, A.J., Kenward, M.G. Melegaro, A. and Jit, M.C. (2016). Clustering of contacts relevant to the spread of infectious disease. Epidemics 17, 1-9.