Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Firms face substantial uncertainty when doing business in new markets. We propose that multinational firms use “cross-market learning” to resolve such uncertainties. We develop a model of firm-level expectations formation with noisy signals from multiple markets and derive predictions on market entries and expectations formation over the firm’s life cycle. Using a novel dataset of Japanese multinational corporations that includes sales expectations of each affiliate, we provide supportive evidence for the model’s predictions. We find that firms rely on their performance in nearby markets to predict their profitability in a new market and make entry decisions. Such “cross-market” learning is less important after the firm has accumulated experience in the new market, but becomes more important if the uncertainty of the focal market is high or the firm has received more signals from the nearby markets.