This thesis is composed of three independent essays in heterogeneous agent macroeconomics. They all explore how family structure affects investment choices and labor market outcomes of individuals. The first chapter, Housing and Savings Behavior Across Family Types, studies how family structure in the form of marital status and changes thereof affect housing demand. I develop a life-cycle model of housing and financial portfolio choice with dynamic and heterogeneous family types that I calibrate to household survey data from the United States. My findings indicate that divorce risk encourages precautionary savings of couples and reduces their demand risky assets and for indivisible housing. Prospective marriage, lower income levels and larger exposure to income fluctuations prevent singles from becoming homeowners. As a result, abstracting from distinct family types overstates the effectiveness of housing policies such as lowering property taxes and reducing housing transaction costs by up to over 100%. This misspecification is largest among young households, who are most likely to be single and whose marital transition risk is highest. In contrast, regulations that facilitate stock market participation help to foster wealth accumulation, because they encourage investment in high return assets that are cheaper to liquidate in the event of a marital or labor income shock. In the second chapter, The Gender Investment Gap over the Life-Cycle, I document with data from the Survey of Consumer Finances that single women hold on average less risky portfolios than single men. To understand the sources of this “Gender Investment Gap”, I develop a life-cycle model of portfolio choice that allows for gender differences along observable characteristics and stochastic processes. The model is able to replicate the empirical patterns without introducing gender heterogeneity in preferences. Counterfactual simulations reveal that lower income levels and larger household sizes (mainly through the presence of children) of single women make it optimal for them to invest less risky. Hence, the gender wage gap gets amplified because it results in investment behavior that pays on average lower returns. Importantly, not only current-period income levels and number of household members help to explain this finding but also expectations over their future realizations. The third chapter, Joint Search over the Life-Cycle, co-authored with Philipp Grübener and Lukas Nord, focuses on labor market outcomes and couples. Specifically, we study how intra-household insurance against individual job loss through increased spousal labor market participation, also called the added worker effect, varies over the life cycle. First, we show in U.S. data that the added worker effect is much stronger for young than for old households. A stochastic life cycle model of two-member households with job search in a frictional labor market is capable of replicating this finding. The model suggests that a lower added worker effect for the old is driven primarily by better insurance through asset holdings. Human capital differences between employed young and old contribute to the difference but are quantitatively less important, while differences in job arrival rates play a limited role.